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style="display:none" data-component-name="ProfileCheckPaperUpdate" data-props="{}" data-trace="false" data-dom-id="ProfileCheckPaperUpdate-react-component-6e4afd33-e969-41f2-8184-ab302debe5ef"></div> <div id="ProfileCheckPaperUpdate-react-component-6e4afd33-e969-41f2-8184-ab302debe5ef"></div> <div class="DesignSystem"><div class="onsite-ping" id="onsite-ping"></div></div><div class="profile-user-info DesignSystem"><div class="social-profile-container"><div class="left-panel-container"><div class="user-info-component-wrapper"><div class="user-summary-cta-container"><div class="user-summary-container"><div class="social-profile-avatar-container"><img class="profile-avatar u-positionAbsolute" border="0" alt="" src="//a.academia-assets.com/images/s200_no_pic.png" /></div><div class="title-container"><h1 class="ds2-5-heading-sans-serif-sm">Nicolas Cherbuin</h1><div class="affiliations-container fake-truncate js-profile-affiliations"><div><a class="u-tcGrayDarker" href="https://anu-au.academia.edu/">The Australian National University</a>, <a class="u-tcGrayDarker" href="https://anu-au.academia.edu/Departments/Centre_for_Research_on_Ageing_Health_and_Wellbeing/Documents">Centre for Research on Ageing Health and Wellbeing</a>, <span class="u-tcGrayDarker">Faculty Member</span></div></div></div></div><div class="sidebar-cta-container"><button class="ds2-5-button hidden profile-cta-button grow js-profile-follow-button" data-broccoli-component="user-info.follow-button" data-click-track="profile-user-info-follow-button" data-follow-user-fname="Nicolas" data-follow-user-id="316138" data-follow-user-source="profile_button" data-has-google="false"><span class="material-symbols-outlined" style="font-size: 20px" translate="no">add</span>Follow</button><button class="ds2-5-button hidden profile-cta-button grow js-profile-unfollow-button" data-broccoli-component="user-info.unfollow-button" data-click-track="profile-user-info-unfollow-button" 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class="ri-section-header"><span>Interests</span><a class="ri-more-link js-profile-ri-list-card" data-click-track="profile-user-info-primary-research-interest" data-has-card-for-ri-list="316138">View All (6)</a></div><div class="ri-tags-container"><a data-click-track="profile-user-info-expand-research-interests" data-has-card-for-ri-list="316138" href="https://www.academia.edu/Documents/in/Psychology"><div id="js-react-on-rails-context" style="display:none" data-rails-context="{"inMailer":false,"i18nLocale":"en","i18nDefaultLocale":"en","href":"https://anu-au.academia.edu/NicolasCherbuin","location":"/NicolasCherbuin","scheme":"https","host":"anu-au.academia.edu","port":null,"pathname":"/NicolasCherbuin","search":null,"httpAcceptLanguage":null,"serverSide":false}"></div> <div class="js-react-on-rails-component" style="display:none" data-component-name="Pill" data-props="{"color":"gray","children":["Psychology"]}" data-trace="false" data-dom-id="Pill-react-component-6ca64a2e-17dd-423c-97c9-68e9f6a79791"></div> <div id="Pill-react-component-6ca64a2e-17dd-423c-97c9-68e9f6a79791"></div> </a><a data-click-track="profile-user-info-expand-research-interests" data-has-card-for-ri-list="316138" href="https://www.academia.edu/Documents/in/Cognitive_Ageing"><div class="js-react-on-rails-component" style="display:none" data-component-name="Pill" data-props="{"color":"gray","children":["Cognitive Ageing"]}" data-trace="false" data-dom-id="Pill-react-component-3828e21c-bd95-41a4-b67a-48c4a2d13672"></div> <div id="Pill-react-component-3828e21c-bd95-41a4-b67a-48c4a2d13672"></div> </a><a data-click-track="profile-user-info-expand-research-interests" data-has-card-for-ri-list="316138" href="https://www.academia.edu/Documents/in/Neuropsychology_Of_Dementia_Lewy_Body_Alzheimers_And_Frontotemporal"><div class="js-react-on-rails-component" style="display:none" data-component-name="Pill" data-props="{"color":"gray","children":["Neuropsychology Of Dementia Lewy Body, Alzheimer's And Frontot..."]}" data-trace="false" data-dom-id="Pill-react-component-c80a5ee5-4a25-4aed-adcf-a5e8fddd9a21"></div> <div id="Pill-react-component-c80a5ee5-4a25-4aed-adcf-a5e8fddd9a21"></div> </a><a data-click-track="profile-user-info-expand-research-interests" data-has-card-for-ri-list="316138" href="https://www.academia.edu/Documents/in/Laterality"><div class="js-react-on-rails-component" style="display:none" data-component-name="Pill" data-props="{"color":"gray","children":["Laterality"]}" data-trace="false" data-dom-id="Pill-react-component-094f4439-ca5b-44c6-8aae-010d6b1041b1"></div> <div id="Pill-react-component-094f4439-ca5b-44c6-8aae-010d6b1041b1"></div> </a><a data-click-track="profile-user-info-expand-research-interests" data-has-card-for-ri-list="316138" href="https://www.academia.edu/Documents/in/Mild_Cognitive_Impairment"><div class="js-react-on-rails-component" style="display:none" data-component-name="Pill" data-props="{"color":"gray","children":["Mild Cognitive Impairment"]}" data-trace="false" data-dom-id="Pill-react-component-fb987427-cb0c-4693-85d9-6efb0a25bc20"></div> <div id="Pill-react-component-fb987427-cb0c-4693-85d9-6efb0a25bc20"></div> </a></div></div></div></div><div class="right-panel-container"><div class="user-content-wrapper"><div class="uploads-container" id="social-redesign-work-container"><div class="upload-header"><h2 class="ds2-5-heading-sans-serif-xs">Uploads</h2></div><div class="documents-container backbone-social-profile-documents" style="width: 100%;"><div class="u-taCenter"></div><div class="profile--tab_content_container js-tab-pane tab-pane active" id="all"><div class="profile--tab_heading_container js-section-heading" data-section="Papers" id="Papers"><h3 class="profile--tab_heading_container">Papers by Nicolas Cherbuin</h3></div><div class="js-work-strip profile--work_container" data-work-id="83176904"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/83176904/Quantification_of_the_biological_age_of_the_brain_using_neuroimaging"><img alt="Research paper thumbnail of Quantification of the biological age of the brain using neuroimaging" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/83176904/Quantification_of_the_biological_age_of_the_brain_using_neuroimaging">Quantification of the biological age of the brain using neuroimaging</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">The cosmetic and behavioural aspects of ageing become increasingly apparent with the passing year...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">The cosmetic and behavioural aspects of ageing become increasingly apparent with the passing years. The individual variability in physical ageing can be immediately observed in people’s face, posture, voice and gait. In contrast, the pace at which our brains age is less obvious, only becoming apparent once substantial neurodegeneration manifests through cognitive decline and dementia. Therefore, a more timely and precise assessment of brain ageing is needed so its determinants and mechanisms can be more effectively identified and ultimately optimised. This chapter describes new approaches aimed at quantifying the biological age of the brain, so-called ‘brain age’; reviews how brain age can be contrasted to chronological age to index risk of premature brain ageing; and explores how brain age can be used to investigate genetic, environmental, health, and lifestyle factors contributing to accelerated ageing. Particular attention is given to the statistical approaches underpinning brain...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="83176904"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="83176904"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 83176904; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=83176904]").text(description); $(".js-view-count[data-work-id=83176904]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 83176904; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='83176904']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 83176904, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=83176904]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":83176904,"title":"Quantification of the biological age of the brain using neuroimaging","translated_title":"","metadata":{"abstract":"The cosmetic and behavioural aspects of ageing become increasingly apparent with the passing years. 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A key ingredient to achieving this goal is the reliable identification of individuals at risk well before they develop clinical symptoms. The aim of this study was to provide further neuroimaging evidence of the effectiveness of a validated tool, the ANU Alzheimer&#39;s Disease Risk Index, for the assessment of future risk of cognitive decline. Participants were 461 (60-64 years, 48% female) community-living individuals free of dementia at baseline. Associations between risk estimates obtained with the ANU-ADRI, total and regional brain volumes including in the default mode network (DMN) measured at the same assessment and diagnosis of MCI/dementia over a 12-year follow-up were tested in a large sample of community-living individuals free of dementia a...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="c71ea001e64aa0b59e6cdf985e0b8807" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":88613500,"asset_id":83176903,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/88613500/download_file?st=MTczMjc5Mzc2Nyw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="83176903"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="83176903"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 83176903; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=83176903]").text(description); $(".js-view-count[data-work-id=83176903]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 83176903; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='83176903']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 83176903, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "c71ea001e64aa0b59e6cdf985e0b8807" } } $('.js-work-strip[data-work-id=83176903]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":83176903,"title":"Validated Alzheimer's Disease Risk Index (ANU-ADRI) is associated with smaller volumes in the default mode network in the early 60s","translated_title":"","metadata":{"abstract":"Strong evidence is available suggesting that effective reduction of exposure to demonstrated modifiable risk factors in mid-life or before could significantly decrease the incidence of Alzheimer\u0026#39;s disease (AD) and delay its onset. 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Associations between risk estimates obtained with the ANU-ADRI, total and regional brain volumes including in the default mode network (DMN) measured at the same assessment and diagnosis of MCI/dementia over a 12-year follow-up were tested in a large sample of community-living individuals free of dementia a...","publication_date":{"day":14,"month":1,"year":2017,"errors":{}},"publication_name":"Brain imaging and behavior"},"translated_abstract":"Strong evidence is available suggesting that effective reduction of exposure to demonstrated modifiable risk factors in mid-life or before could significantly decrease the incidence of Alzheimer\u0026#39;s disease (AD) and delay its onset. A key ingredient to achieving this goal is the reliable identification of individuals at risk well before they develop clinical symptoms. 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Associations between risk estimates obtained with the ANU-ADRI, total and regional brain volumes including in the default mode network (DMN) measured at the same assessment and diagnosis of MCI/dementia over a 12-year follow-up were tested in a large sample of community-living individuals free of dementia a...","internal_url":"https://www.academia.edu/83176903/Validated_Alzheimers_Disease_Risk_Index_ANU_ADRI_is_associated_with_smaller_volumes_in_the_default_mode_network_in_the_early_60s","translated_internal_url":"","created_at":"2022-07-14T23:42:54.708-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":316138,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":88613500,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/88613500/thumbnails/1.jpg","file_name":"s11682-017-9789-5.pdf","download_url":"https://www.academia.edu/attachments/88613500/download_file?st=MTczMjc5Mzc2Nyw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Validated_Alzheimers_Disease_Risk_Index.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/88613500/s11682-017-9789-5-libre.pdf?1657870798=\u0026response-content-disposition=attachment%3B+filename%3DValidated_Alzheimers_Disease_Risk_Index.pdf\u0026Expires=1732784193\u0026Signature=b-vl5hARcpiy266u2maFwfNHaDcd0WSUKUEzDwJfksdBgO~w6OmGnfen0FFodWeSo9E439O57~2lO-LxDnq5scsEFNCXonz-iO5p~Qzm3WcnSexSS-AVQPke1G-js-ybz3ucBmkX9NBE1vqsxkJBB3b5m5bxC7LYzIiQ6pmjjEMaVVHECHV07kDVY~N6RvMbTIhUwT1FZIp1DLcR2LWB893HZHeKPKvOJ7K0zOQymX5hQzzIfQKh4Sfm-vFR2XDpzFvK0BfRD-IS9oqF4izP~WnEV~Coff~D9MWS-7m5dDUhXY9ThvD4jpzcM3LVffGiyTuagj83V2C00iXH4gs41g__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"Validated_Alzheimers_Disease_Risk_Index_ANU_ADRI_is_associated_with_smaller_volumes_in_the_default_mode_network_in_the_early_60s","translated_slug":"","page_count":10,"language":"en","content_type":"Work","owner":{"id":316138,"first_name":"Nicolas","middle_initials":null,"last_name":"Cherbuin","page_name":"NicolasCherbuin","domain_name":"anu-au","created_at":"2011-01-25T10:53:15.454-08:00","display_name":"Nicolas Cherbuin","url":"https://anu-au.academia.edu/NicolasCherbuin"},"attachments":[{"id":88613500,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/88613500/thumbnails/1.jpg","file_name":"s11682-017-9789-5.pdf","download_url":"https://www.academia.edu/attachments/88613500/download_file?st=MTczMjc5Mzc2Nyw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Validated_Alzheimers_Disease_Risk_Index.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/88613500/s11682-017-9789-5-libre.pdf?1657870798=\u0026response-content-disposition=attachment%3B+filename%3DValidated_Alzheimers_Disease_Risk_Index.pdf\u0026Expires=1732784193\u0026Signature=b-vl5hARcpiy266u2maFwfNHaDcd0WSUKUEzDwJfksdBgO~w6OmGnfen0FFodWeSo9E439O57~2lO-LxDnq5scsEFNCXonz-iO5p~Qzm3WcnSexSS-AVQPke1G-js-ybz3ucBmkX9NBE1vqsxkJBB3b5m5bxC7LYzIiQ6pmjjEMaVVHECHV07kDVY~N6RvMbTIhUwT1FZIp1DLcR2LWB893HZHeKPKvOJ7K0zOQymX5hQzzIfQKh4Sfm-vFR2XDpzFvK0BfRD-IS9oqF4izP~WnEV~Coff~D9MWS-7m5dDUhXY9ThvD4jpzcM3LVffGiyTuagj83V2C00iXH4gs41g__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":26327,"name":"Medicine","url":"https://www.academia.edu/Documents/in/Medicine"},{"id":88462,"name":"Default Mode Network","url":"https://www.academia.edu/Documents/in/Default_Mode_Network"},{"id":2922956,"name":"Psychology and Cognitive Sciences","url":"https://www.academia.edu/Documents/in/Psychology_and_Cognitive_Sciences"},{"id":3763225,"name":"Medical and Health Sciences","url":"https://www.academia.edu/Documents/in/Medical_and_Health_Sciences"}],"urls":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="83176902"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/83176902/More_Highly_Myelinated_White_Matter_Tracts_are_Associated_with_Faster_Processing_Speed_in_Healthy_Adults"><img alt="Research paper thumbnail of More Highly Myelinated White Matter Tracts are Associated with Faster Processing Speed in Healthy Adults" class="work-thumbnail" src="https://attachments.academia-assets.com/88613499/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/83176902/More_Highly_Myelinated_White_Matter_Tracts_are_Associated_with_Faster_Processing_Speed_in_Healthy_Adults">More Highly Myelinated White Matter Tracts are Associated with Faster Processing Speed in Healthy Adults</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">The objective of this study was to investigate whether the myelin content of white matter tracts ...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">The objective of this study was to investigate whether the myelin content of white matter tracts is predictive of cogni–tive processing speed and whether such associations are modulated by age. Associations between myelin content and processing speed was assessed in 570 community-living individuals (277 middle-age, 293 older-age). Myelin content was measured using the mean T1w/T2w magnetic resonance ratio, in six white matter tracts (anterior corona radiata, superior corona radiata, pontine crossing tract, anterior limb of the internal capsule, genu of the corpus callosum, and splenium of the corpus callosum). Processing speed was estimated by extracting a principal component from 5 sep–arate tests of processing speed. It was found that myelin content of the bilateral anterior limb of the internal capsule and left splenium of the corpus callosum were significant predictors of processing speed, even after controlling for socio-demographic, health and genetic variables and correcting ...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="4ffedd868af5c943326151bdac37d553" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":88613499,"asset_id":83176902,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/88613499/download_file?st=MTczMjc5Mzc2Nyw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="83176902"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="83176902"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 83176902; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=83176902]").text(description); $(".js-view-count[data-work-id=83176902]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 83176902; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='83176902']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 83176902, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "4ffedd868af5c943326151bdac37d553" } } $('.js-work-strip[data-work-id=83176902]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":83176902,"title":"More Highly Myelinated White Matter Tracts are Associated with Faster Processing Speed in Healthy Adults","translated_title":"","metadata":{"abstract":"The objective of this study was to investigate whether the myelin content of white matter tracts is predictive of cogni–tive processing speed and whether such associations are modulated by age. Associations between myelin content and processing speed was assessed in 570 community-living individuals (277 middle-age, 293 older-age). Myelin content was measured using the mean T1w/T2w magnetic resonance ratio, in six white matter tracts (anterior corona radiata, superior corona radiata, pontine crossing tract, anterior limb of the internal capsule, genu of the corpus callosum, and splenium of the corpus callosum). Processing speed was estimated by extracting a principal component from 5 sep–arate tests of processing speed. It was found that myelin content of the bilateral anterior limb of the internal capsule and left splenium of the corpus callosum were significant predictors of processing speed, even after controlling for socio-demographic, health and genetic variables and correcting ...","publisher":"Cold Spring Harbor Laboratory","publication_date":{"day":null,"month":null,"year":2017,"errors":{}}},"translated_abstract":"The objective of this study was to investigate whether the myelin content of white matter tracts is predictive of cogni–tive processing speed and whether such associations are modulated by age. Associations between myelin content and processing speed was assessed in 570 community-living individuals (277 middle-age, 293 older-age). Myelin content was measured using the mean T1w/T2w magnetic resonance ratio, in six white matter tracts (anterior corona radiata, superior corona radiata, pontine crossing tract, anterior limb of the internal capsule, genu of the corpus callosum, and splenium of the corpus callosum). Processing speed was estimated by extracting a principal component from 5 sep–arate tests of processing speed. It was found that myelin content of the bilateral anterior limb of the internal capsule and left splenium of the corpus callosum were significant predictors of processing speed, even after controlling for socio-demographic, health and genetic variables and correcting ...","internal_url":"https://www.academia.edu/83176902/More_Highly_Myelinated_White_Matter_Tracts_are_Associated_with_Faster_Processing_Speed_in_Healthy_Adults","translated_internal_url":"","created_at":"2022-07-14T23:42:54.509-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":316138,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":88613499,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/88613499/thumbnails/1.jpg","file_name":"1-s2.0-S1053811917310935-main.pdf","download_url":"https://www.academia.edu/attachments/88613499/download_file?st=MTczMjc5Mzc2Nyw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"More_Highly_Myelinated_White_Matter_Trac.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/88613499/1-s2.0-S1053811917310935-main-libre.pdf?1657870809=\u0026response-content-disposition=attachment%3B+filename%3DMore_Highly_Myelinated_White_Matter_Trac.pdf\u0026Expires=1732784194\u0026Signature=Oy39u1sqCBsBxcTMz4xoxZlxRtZ-2CGaOCC1DrFnRWSbSy02WwHIN8qyIkuO9~kcn8FASUII36WGC~Tb1Az0lT5DiynppkeYoO0ueZ1aON~dog8eNK0KNnM6qyya~wJUpxnmtvmybfknmpT6R~Akl~m5C4P~II4yKu0Mx8GKZK5CgjcWfLRegRSkc5GjOZu3ewwEzd5K3gkQvYAlhG-EARvH-DCxVoFi9VlJFOk5FFwtimPMayr2hNc0Fu6HRVjJ9n-05GYD-s8drZanLAW1Dbs4JppEByuBo5wKtkHzbcQigeYHIlwy3wZ~az6ONak4bwmO2rXdGZSyrgKJobVHjA__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"More_Highly_Myelinated_White_Matter_Tracts_are_Associated_with_Faster_Processing_Speed_in_Healthy_Adults","translated_slug":"","page_count":37,"language":"en","content_type":"Work","owner":{"id":316138,"first_name":"Nicolas","middle_initials":null,"last_name":"Cherbuin","page_name":"NicolasCherbuin","domain_name":"anu-au","created_at":"2011-01-25T10:53:15.454-08:00","display_name":"Nicolas Cherbuin","url":"https://anu-au.academia.edu/NicolasCherbuin"},"attachments":[{"id":88613499,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/88613499/thumbnails/1.jpg","file_name":"1-s2.0-S1053811917310935-main.pdf","download_url":"https://www.academia.edu/attachments/88613499/download_file?st=MTczMjc5Mzc2Nyw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"More_Highly_Myelinated_White_Matter_Trac.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/88613499/1-s2.0-S1053811917310935-main-libre.pdf?1657870809=\u0026response-content-disposition=attachment%3B+filename%3DMore_Highly_Myelinated_White_Matter_Trac.pdf\u0026Expires=1732784194\u0026Signature=Oy39u1sqCBsBxcTMz4xoxZlxRtZ-2CGaOCC1DrFnRWSbSy02WwHIN8qyIkuO9~kcn8FASUII36WGC~Tb1Az0lT5DiynppkeYoO0ueZ1aON~dog8eNK0KNnM6qyya~wJUpxnmtvmybfknmpT6R~Akl~m5C4P~II4yKu0Mx8GKZK5CgjcWfLRegRSkc5GjOZu3ewwEzd5K3gkQvYAlhG-EARvH-DCxVoFi9VlJFOk5FFwtimPMayr2hNc0Fu6HRVjJ9n-05GYD-s8drZanLAW1Dbs4JppEByuBo5wKtkHzbcQigeYHIlwy3wZ~az6ONak4bwmO2rXdGZSyrgKJobVHjA__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":7710,"name":"Biology","url":"https://www.academia.edu/Documents/in/Biology"},{"id":103260,"name":"Neuroimage","url":"https://www.academia.edu/Documents/in/Neuroimage"},{"id":362036,"name":"White matter","url":"https://www.academia.edu/Documents/in/White_matter"},{"id":497323,"name":"Fractional Anisotropy","url":"https://www.academia.edu/Documents/in/Fractional_Anisotropy"},{"id":2922956,"name":"Psychology and Cognitive Sciences","url":"https://www.academia.edu/Documents/in/Psychology_and_Cognitive_Sciences"},{"id":3763225,"name":"Medical and Health Sciences","url":"https://www.academia.edu/Documents/in/Medical_and_Health_Sciences"}],"urls":[{"id":22185050,"url":"https://syndication.highwire.org/content/doi/10.1101/152546"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="83176901"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/83176901/Chronic_obstructive_pulmonary_disease_and_the_risk_of_cardiovascular_diseases"><img alt="Research paper thumbnail of Chronic obstructive pulmonary disease and the risk of cardiovascular diseases" class="work-thumbnail" src="https://attachments.academia-assets.com/88613502/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/83176901/Chronic_obstructive_pulmonary_disease_and_the_risk_of_cardiovascular_diseases">Chronic obstructive pulmonary disease and the risk of cardiovascular diseases</a></div><div class="wp-workCard_item"><span>European Journal of Epidemiology</span><span>, 2010</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="ba414e7a078eecd56a3620d29885fb6b" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":88613502,"asset_id":83176901,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/88613502/download_file?st=MTczMjc5Mzc2Nyw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="83176901"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="83176901"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 83176901; 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We used the UK-based General Practice Research Database (GPRD) to assess the prevalence and incidence of cardiovascular diseases in COPD patients aged 40-79 between 1995 and 2005, and we randomly matched COPDfree comparison patients to COPD patients. In nested-case control analyses, we compared the risks of developing an incident diagnosis of cardiac arrhythmias, venous thromboembolism, myocardial infarction, or stroke between patients with and without COPD, stratifying the analyses by COPD-severity, using COPD-treatment as proxy for disease severity. We identified 35,772 patients with COPD and the same number of COPD-free patients. Most cardiovascular diseases were more prevalent among COPD patients than among the comparison group of COPD-free patients. The relative risk estimates of developing an incident diagnosis of cardiac arrhythmia (OR 1.19, 95% CI 0.98-1.43), deep vein thrombosis (OR 1.35, 95% CI 0.97-1.89), pulmonary embolism (OR 2.51, 95% CI 1.62-3.87), myocardial infarction (OR 1.40, 95% CI 1.13-1.73), or stroke (OR 1.13, 95% CI 0.92-1.38), tended to be increased for patients with COPD as compared to COPDfree controls. The findings of this large observational study provide further evidence that patients with COPD are at increased risk for most cardiovascular diseases.","publication_date":{"day":null,"month":null,"year":2010,"errors":{}},"publication_name":"European Journal of Epidemiology","grobid_abstract_attachment_id":88613502},"translated_abstract":null,"internal_url":"https://www.academia.edu/83176901/Chronic_obstructive_pulmonary_disease_and_the_risk_of_cardiovascular_diseases","translated_internal_url":"","created_at":"2022-07-14T23:42:54.301-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":316138,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":88613502,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/88613502/thumbnails/1.jpg","file_name":"10654_2010_Article_9435.pdf","download_url":"https://www.academia.edu/attachments/88613502/download_file?st=MTczMjc5Mzc2Nyw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Chronic_obstructive_pulmonary_disease_an.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/88613502/10654_2010_Article_9435-libre.pdf?1657870794=\u0026response-content-disposition=attachment%3B+filename%3DChronic_obstructive_pulmonary_disease_an.pdf\u0026Expires=1732784194\u0026Signature=bcdU-dRjxgrZS13LxhAlsI4pjnP8-h003AkpN8Bpz4MoiNNLHzXE68LVX1s1V1zS1r1X6AtHqekFB2IlkmCLFnPdR-tZM9bVxjAKKEtjyt8eqytWuS570kkdV2eB8y5crF0vj-qNlH0Fwq8ttsNqe6NgEKe65O0CSjYvLb~CsZF~aQ3LsFdcWmVEPG9WQt6CFiEF2rPi0UtWmmlW2JIu8lXea6qwW5cjYefwnvDPKcLT5ImVq42DBmpPYOxI1CvMX2-BxkZ8SKD9i9MSjxJHTx0JK5VS5xxAZSvIwOhN5UMBwLkQiclSJjkDjemap2gGhw-S9Yr1CE0ZzNJ1nV2jXQ__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"Chronic_obstructive_pulmonary_disease_and_the_risk_of_cardiovascular_diseases","translated_slug":"","page_count":8,"language":"en","content_type":"Work","owner":{"id":316138,"first_name":"Nicolas","middle_initials":null,"last_name":"Cherbuin","page_name":"NicolasCherbuin","domain_name":"anu-au","created_at":"2011-01-25T10:53:15.454-08:00","display_name":"Nicolas Cherbuin","url":"https://anu-au.academia.edu/NicolasCherbuin"},"attachments":[{"id":88613502,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/88613502/thumbnails/1.jpg","file_name":"10654_2010_Article_9435.pdf","download_url":"https://www.academia.edu/attachments/88613502/download_file?st=MTczMjc5Mzc2Nyw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Chronic_obstructive_pulmonary_disease_an.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/88613502/10654_2010_Article_9435-libre.pdf?1657870794=\u0026response-content-disposition=attachment%3B+filename%3DChronic_obstructive_pulmonary_disease_an.pdf\u0026Expires=1732784194\u0026Signature=bcdU-dRjxgrZS13LxhAlsI4pjnP8-h003AkpN8Bpz4MoiNNLHzXE68LVX1s1V1zS1r1X6AtHqekFB2IlkmCLFnPdR-tZM9bVxjAKKEtjyt8eqytWuS570kkdV2eB8y5crF0vj-qNlH0Fwq8ttsNqe6NgEKe65O0CSjYvLb~CsZF~aQ3LsFdcWmVEPG9WQt6CFiEF2rPi0UtWmmlW2JIu8lXea6qwW5cjYefwnvDPKcLT5ImVq42DBmpPYOxI1CvMX2-BxkZ8SKD9i9MSjxJHTx0JK5VS5xxAZSvIwOhN5UMBwLkQiclSJjkDjemap2gGhw-S9Yr1CE0ZzNJ1nV2jXQ__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":16664,"name":"Risk assessment","url":"https://www.academia.edu/Documents/in/Risk_assessment"},{"id":26327,"name":"Medicine","url":"https://www.academia.edu/Documents/in/Medicine"},{"id":28973,"name":"Comorbidity","url":"https://www.academia.edu/Documents/in/Comorbidity"},{"id":65341,"name":"COPD","url":"https://www.academia.edu/Documents/in/COPD"},{"id":137516,"name":"Follow-up studies","url":"https://www.academia.edu/Documents/in/Follow-up_studies"},{"id":174502,"name":"Incidence","url":"https://www.academia.edu/Documents/in/Incidence"},{"id":289271,"name":"Aged","url":"https://www.academia.edu/Documents/in/Aged"},{"id":289330,"name":"Prevalence","url":"https://www.academia.edu/Documents/in/Prevalence"},{"id":291274,"name":"Great Britain","url":"https://www.academia.edu/Documents/in/Great_Britain"},{"id":410370,"name":"Public health systems and services research","url":"https://www.academia.edu/Documents/in/Public_health_systems_and_services_research-1"},{"id":559242,"name":"Cardiovascular Diseases","url":"https://www.academia.edu/Documents/in/Cardiovascular_Diseases"},{"id":622589,"name":"Risk Assessment","url":"https://www.academia.edu/Documents/in/Risk_Assessment-2"},{"id":1819399,"name":"Case Control Studies","url":"https://www.academia.edu/Documents/in/Case_Control_Studies"},{"id":4122166,"name":"Pulmonary Disease Chronic Obstructive","url":"https://www.academia.edu/Documents/in/Pulmonary_Disease_Chronic_Obstructive"}],"urls":[{"id":22185049,"url":"http://link.springer.com/content/pdf/10.1007/s10654-010-9435-7.pdf"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="83176900"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/83176900/Mild_cogitive_impairment_in_the_60s"><img alt="Research paper thumbnail of Mild cogitive impairment in the 60s" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/83176900/Mild_cogitive_impairment_in_the_60s">Mild cogitive impairment in the 60s</a></div><div class="wp-workCard_item"><span>Alzheimer's & Dementia</span><span>, 2011</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">memory (verbal and visual-spatial);attention; language; executive; and visual-spatial functions. ...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">memory (verbal and visual-spatial);attention; language; executive; and visual-spatial functions. AdaptedPetersen-Morris Criteria 1⁄4 impairment based on1⁄4 1 measure in a domain&gt; 1.5SDs below normative expectations. Comprehensive Criteria 1⁄4 impairment basedon 1⁄4 2 measures in a domain &gt; 1.0 SD below normative expectations. ConservativeCriteria 1⁄4 impairment based on1⁄4 2 measures in a domain&gt; 1.5 SDs belownormative expectations. Participantswere classified as normal, single-, or multiple-domain MCI. Premorbid general cognitive abilitywas based on the Armed Forces Qualification Test (AFQT) administered at age 20. Results: 44.18% metAdaptedPetersen-Morris Criteria; 20.18% met Comprehensive Criteria; and 11.3% met ConservativeCriteria. Heritability was 0.32for the AdaptedPetersen-Morris, 0.28 for the Comprehensive, and 0.46 for the Conservative Criteria. Phenotypic correlations between MCIand age 20 AFQT were -0.42 to -0.44; the genetic correlation (i.e., degree ofshared genetic influences) was -0.50 for the Adapted Petersen-Morris, -0.57 for theComprehensive,and -0.93 for the Conservative Criteria. Age 20 AFQT was lowest in multiple-domainMCI participants, followed by single-domain MCI, and then cognitively normalparticipants. Current AFQT followed thesame pattern, even after adjusting for age 20 AFQT. Conclusions: Neuropsychologically-definedMCI can be identified even among non-clinically referred adults in their 50s. To our knowledge, this is the first report ofthe heritability of MCI. Thus, it is anappropriate phenotype for genetic association studies. Associations of premorbid cognitive abilitywith MCI suggest that low premorbid ability/cognitive reserve is a risk/protectivefactor. However, genetic correlationsand analyses controlling for premorbid ability also suggest additionalprocesses at work. Ongoing follow-upswill determine the utility of different MCI definitions, and whether heritabilitychanges with age.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="83176900"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="83176900"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 83176900; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=83176900]").text(description); $(".js-view-count[data-work-id=83176900]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 83176900; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='83176900']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 83176900, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=83176900]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":83176900,"title":"Mild cogitive impairment in the 60s","translated_title":"","metadata":{"abstract":"memory (verbal and visual-spatial);attention; language; executive; and visual-spatial functions. AdaptedPetersen-Morris Criteria 1⁄4 impairment based on1⁄4 1 measure in a domain\u0026gt; 1.5SDs below normative expectations. Comprehensive Criteria 1⁄4 impairment basedon 1⁄4 2 measures in a domain \u0026gt; 1.0 SD below normative expectations. ConservativeCriteria 1⁄4 impairment based on1⁄4 2 measures in a domain\u0026gt; 1.5 SDs belownormative expectations. Participantswere classified as normal, single-, or multiple-domain MCI. Premorbid general cognitive abilitywas based on the Armed Forces Qualification Test (AFQT) administered at age 20. Results: 44.18% metAdaptedPetersen-Morris Criteria; 20.18% met Comprehensive Criteria; and 11.3% met ConservativeCriteria. Heritability was 0.32for the AdaptedPetersen-Morris, 0.28 for the Comprehensive, and 0.46 for the Conservative Criteria. Phenotypic correlations between MCIand age 20 AFQT were -0.42 to -0.44; the genetic correlation (i.e., degree ofshared genetic influences) was -0.50 for the Adapted Petersen-Morris, -0.57 for theComprehensive,and -0.93 for the Conservative Criteria. Age 20 AFQT was lowest in multiple-domainMCI participants, followed by single-domain MCI, and then cognitively normalparticipants. Current AFQT followed thesame pattern, even after adjusting for age 20 AFQT. Conclusions: Neuropsychologically-definedMCI can be identified even among non-clinically referred adults in their 50s. To our knowledge, this is the first report ofthe heritability of MCI. Thus, it is anappropriate phenotype for genetic association studies. Associations of premorbid cognitive abilitywith MCI suggest that low premorbid ability/cognitive reserve is a risk/protectivefactor. However, genetic correlationsand analyses controlling for premorbid ability also suggest additionalprocesses at work. Ongoing follow-upswill determine the utility of different MCI definitions, and whether heritabilitychanges with age.","publisher":"Elsevier BV","publication_date":{"day":null,"month":null,"year":2011,"errors":{}},"publication_name":"Alzheimer's \u0026 Dementia"},"translated_abstract":"memory (verbal and visual-spatial);attention; language; executive; and visual-spatial functions. AdaptedPetersen-Morris Criteria 1⁄4 impairment based on1⁄4 1 measure in a domain\u0026gt; 1.5SDs below normative expectations. Comprehensive Criteria 1⁄4 impairment basedon 1⁄4 2 measures in a domain \u0026gt; 1.0 SD below normative expectations. ConservativeCriteria 1⁄4 impairment based on1⁄4 2 measures in a domain\u0026gt; 1.5 SDs belownormative expectations. Participantswere classified as normal, single-, or multiple-domain MCI. Premorbid general cognitive abilitywas based on the Armed Forces Qualification Test (AFQT) administered at age 20. Results: 44.18% metAdaptedPetersen-Morris Criteria; 20.18% met Comprehensive Criteria; and 11.3% met ConservativeCriteria. Heritability was 0.32for the AdaptedPetersen-Morris, 0.28 for the Comprehensive, and 0.46 for the Conservative Criteria. Phenotypic correlations between MCIand age 20 AFQT were -0.42 to -0.44; the genetic correlation (i.e., degree ofshared genetic influences) was -0.50 for the Adapted Petersen-Morris, -0.57 for theComprehensive,and -0.93 for the Conservative Criteria. Age 20 AFQT was lowest in multiple-domainMCI participants, followed by single-domain MCI, and then cognitively normalparticipants. Current AFQT followed thesame pattern, even after adjusting for age 20 AFQT. Conclusions: Neuropsychologically-definedMCI can be identified even among non-clinically referred adults in their 50s. To our knowledge, this is the first report ofthe heritability of MCI. Thus, it is anappropriate phenotype for genetic association studies. Associations of premorbid cognitive abilitywith MCI suggest that low premorbid ability/cognitive reserve is a risk/protectivefactor. However, genetic correlationsand analyses controlling for premorbid ability also suggest additionalprocesses at work. Ongoing follow-upswill determine the utility of different MCI definitions, and whether heritabilitychanges with age.","internal_url":"https://www.academia.edu/83176900/Mild_cogitive_impairment_in_the_60s","translated_internal_url":"","created_at":"2022-07-14T23:42:54.074-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":316138,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[],"slug":"Mild_cogitive_impairment_in_the_60s","translated_slug":"","page_count":null,"language":"en","content_type":"Work","owner":{"id":316138,"first_name":"Nicolas","middle_initials":null,"last_name":"Cherbuin","page_name":"NicolasCherbuin","domain_name":"anu-au","created_at":"2011-01-25T10:53:15.454-08:00","display_name":"Nicolas Cherbuin","url":"https://anu-au.academia.edu/NicolasCherbuin"},"attachments":[],"research_interests":[{"id":26327,"name":"Medicine","url":"https://www.academia.edu/Documents/in/Medicine"},{"id":244814,"name":"Clinical Sciences","url":"https://www.academia.edu/Documents/in/Clinical_Sciences"},{"id":1239755,"name":"Neurosciences","url":"https://www.academia.edu/Documents/in/Neurosciences"}],"urls":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="83172968"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/83172968/Chronic_Obstructive_Pulmonary_Disease_Copd_Dementia_Risk_and_Mortality_An_Epidemiological_Investigation_in_Low_to_Middle_Income_Countries"><img alt="Research paper thumbnail of Chronic Obstructive Pulmonary Disease (Copd), Dementia Risk, and Mortality: An Epidemiological Investigation in Low to Middle Income Countries" class="work-thumbnail" src="https://attachments.academia-assets.com/88611198/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/83172968/Chronic_Obstructive_Pulmonary_Disease_Copd_Dementia_Risk_and_Mortality_An_Epidemiological_Investigation_in_Low_to_Middle_Income_Countries">Chronic Obstructive Pulmonary Disease (Copd), Dementia Risk, and Mortality: An Epidemiological Investigation in Low to Middle Income Countries</a></div><div class="wp-workCard_item"><span>Alzheimer's & Dementia</span><span>, 2018</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="c19373911f210199f22fa1a5f0d52f64" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":88611198,"asset_id":83172968,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/88611198/download_file?st=MTczMjc5Mzc2Nyw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="83172968"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="83172968"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 83172968; 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="74827845"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/74827845/APOE_%CE%B54_and_the_Influence_of_Sex_Age_Vascular_Risk_Factors_and_Ethnicity_on_Cognitive_Decline"><img alt="Research paper thumbnail of APOE ε4 and the Influence of Sex, Age, Vascular Risk Factors, and Ethnicity on Cognitive Decline" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/74827845/APOE_%CE%B54_and_the_Influence_of_Sex_Age_Vascular_Risk_Factors_and_Ethnicity_on_Cognitive_Decline">APOE ε4 and the Influence of Sex, Age, Vascular Risk Factors, and Ethnicity on Cognitive Decline</a></div><div class="wp-workCard_item"><span>The Journals of Gerontology: Series A</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">We aimed to examine the relationship between Apolipoprotein E ε4 (APOE*4) carriage on cognitive d...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">We aimed to examine the relationship between Apolipoprotein E ε4 (APOE*4) carriage on cognitive decline, and whether these associations were moderated by sex, baseline age, ethnicity, and vascular risk factors. Participants were 19,225 individuals aged 54–103 years from 15 longitudinal cohort studies with a mean follow-up duration ranging between 1.2 and 10.7 years. Two-step individual participant data meta-analysis was used to pool results of study-wise analyses predicting memory and general cognitive decline from carriage of one or two APOE*4 alleles, and moderation of these associations by age, sex, vascular risk factors, and ethnicity. Separate pooled estimates were calculated in both men and women who were younger (ie, 62 years) and older (ie, 80 years) at baseline. Results showed that APOE*4 carriage was related to faster general cognitive decline in women, and faster memory decline in men. 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Participants were 19,225 individuals aged 54–103 years from 15 longitudinal cohort studies with a mean follow-up duration ranging between 1.2 and 10.7 years. Two-step individual participant data meta-analysis was used to pool results of study-wise analyses predicting memory and general cognitive decline from carriage of one or two APOE*4 alleles, and moderation of these associations by age, sex, vascular risk factors, and ethnicity. Separate pooled estimates were calculated in both men and women who were younger (ie, 62 years) and older (ie, 80 years) at baseline. Results showed that APOE*4 carriage was related to faster general cognitive decline in women, and faster memory decline in men. 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Separate pooled estimates were calculated in both men and women who were younger (ie, 62 years) and older (ie, 80 years) at baseline. Results showed that APOE*4 carriage was related to faster general cognitive decline in women, and faster memory decline in men. 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="74827843"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/74827843/Mapping_the_Literature_on_Nutritional_Interventions_in_Cognitive_Health_A_Data_Driven_Approach"><img alt="Research paper thumbnail of Mapping the Literature on Nutritional Interventions in Cognitive Health: A Data-Driven Approach" class="work-thumbnail" src="https://attachments.academia-assets.com/82839768/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/74827843/Mapping_the_Literature_on_Nutritional_Interventions_in_Cognitive_Health_A_Data_Driven_Approach">Mapping the Literature on Nutritional Interventions in Cognitive Health: A Data-Driven Approach</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Manual review of the extensive literature covering nutrition-based lifestyle interventions to pro...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Manual review of the extensive literature covering nutrition-based lifestyle interventions to promote healthy cognitive ageing has proved educative, however, data-driven techniques can better account for the large size of the literature (tens of thousands of potentially relevant publications to date) and interdisciplinary nature of where relevant publications may be found. In this study we present a new way to map the literature landscape focusing on nutrition-based lifestyle interventions to promote healthy cognitive ageing. We applied a combination of citation network analysis and text mining to map out the existing literature on nutritional interventions and cognitive health. Results indicated five overarching clusters of publications, which could be further deconstructed into a total of 35 clusters. These could be broadly distinguished by focus on lifespan stages (e.g. infancy versus older age), and specificity regarding nutrition (e.g. narrow focus on iodine deficiency versus b...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="ebb7817a37de622d5efd8f77a27f56e2" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":82839768,"asset_id":74827843,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/82839768/download_file?st=MTczMjc5Mzc2Nyw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="74827843"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="74827843"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 74827843; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=74827843]").text(description); $(".js-view-count[data-work-id=74827843]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 74827843; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='74827843']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 74827843, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "ebb7817a37de622d5efd8f77a27f56e2" } } $('.js-work-strip[data-work-id=74827843]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":74827843,"title":"Mapping the Literature on Nutritional Interventions in Cognitive Health: A Data-Driven Approach","translated_title":"","metadata":{"abstract":"Manual review of the extensive literature covering nutrition-based lifestyle interventions to promote healthy cognitive ageing has proved educative, however, data-driven techniques can better account for the large size of the literature (tens of thousands of potentially relevant publications to date) and interdisciplinary nature of where relevant publications may be found. 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="74827842"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/74827842/A_simple_and_clinically_relevant_combination_of_neuroimaging_and_functional_indexes_for_the_identification_of_those_at_highest_risk_of_Alzheimers_disease"><img alt="Research paper thumbnail of A simple and clinically relevant combination of neuroimaging and functional indexes for the identification of those at highest risk of Alzheimer's disease" class="work-thumbnail" src="https://attachments.academia-assets.com/82839774/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/74827842/A_simple_and_clinically_relevant_combination_of_neuroimaging_and_functional_indexes_for_the_identification_of_those_at_highest_risk_of_Alzheimers_disease">A simple and clinically relevant combination of neuroimaging and functional indexes for the identification of those at highest risk of Alzheimer's disease</a></div><div class="wp-workCard_item"><span>Neurobiology of aging</span><span>, 2018</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">The current challenge in clinical practice is to identify those with mild cognitive impairment (M...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">The current challenge in clinical practice is to identify those with mild cognitive impairment (MCI), who are at greater risk of Alzheimer&#39;s disease (AD) conversion in the near future. The aim of this study was to assess a clinically practical new hippocampal index-hippocampal volume normalized by cerebellar volume (hippocampus to cerebellum volume ratio) used alone or in combination with scores on the Mini-Mental State Examination, as a predictor of conversion from MCI to AD. The predictive value of the HCCR was also contrasted to that of the hippocampal volume to intracranial volume ratio. The findings revealed that the performance of the combination of measures was significantly better than that of each measure used individually. 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="74827841"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/74827841/General_Practice_Clinical_Data_Help_Identify_Dementia_Hotspots_A_Novel_Geospatial_Analysis_Approach"><img alt="Research paper thumbnail of General Practice Clinical Data Help Identify Dementia Hotspots: A Novel Geospatial Analysis Approach" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/74827841/General_Practice_Clinical_Data_Help_Identify_Dementia_Hotspots_A_Novel_Geospatial_Analysis_Approach">General Practice Clinical Data Help Identify Dementia Hotspots: A Novel Geospatial Analysis Approach</a></div><div class="wp-workCard_item"><span>Journal of Alzheimer's disease : JAD</span><span>, Jan 8, 2017</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">We have a poor understanding of whether dementia clusters geographically, how this occurs, and ho...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">We have a poor understanding of whether dementia clusters geographically, how this occurs, and how dementia may relate to socio-demographic factors. To shed light on these important questions, this study aimed to compute a dementia risk score for individuals to assess spatial variation of dementia risk, identify significant clusters (hotspots), and explore their association with socioeconomic status. We used clinical records from 16 general practices (468 Statistical Area level 1 s, N = 14,746) from the city of west Adelaide, Australia for the duration of 1 January 2012 to 31 December 2014. Dementia risk was estimated using The Australian National University-Alzheimer&#39;s Disease Risk Index. Hotspot analyses were applied to examine potential clusters in dementia risk at small area level. Significant hotspots were observed in eastern and southern areas while coldspots were observed in the western area within the study perimeter. 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Additionally, significant hotspots were observed in l...","publication_date":{"day":8,"month":1,"year":2017,"errors":{}},"publication_name":"Journal of Alzheimer's disease : JAD"},"translated_abstract":"We have a poor understanding of whether dementia clusters geographically, how this occurs, and how dementia may relate to socio-demographic factors. To shed light on these important questions, this study aimed to compute a dementia risk score for individuals to assess spatial variation of dementia risk, identify significant clusters (hotspots), and explore their association with socioeconomic status. We used clinical records from 16 general practices (468 Statistical Area level 1 s, N = 14,746) from the city of west Adelaide, Australia for the duration of 1 January 2012 to 31 December 2014. Dementia risk was estimated using The Australian National University-Alzheimer\u0026#39;s Disease Risk Index. Hotspot analyses were applied to examine potential clusters in dementia risk at small area level. Significant hotspots were observed in eastern and southern areas while coldspots were observed in the western area within the study perimeter. Additionally, significant hotspots were observed in l...","internal_url":"https://www.academia.edu/74827841/General_Practice_Clinical_Data_Help_Identify_Dementia_Hotspots_A_Novel_Geospatial_Analysis_Approach","translated_internal_url":"","created_at":"2022-03-28T15:26:03.618-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":316138,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[],"slug":"General_Practice_Clinical_Data_Help_Identify_Dementia_Hotspots_A_Novel_Geospatial_Analysis_Approach","translated_slug":"","page_count":null,"language":"en","content_type":"Work","owner":{"id":316138,"first_name":"Nicolas","middle_initials":null,"last_name":"Cherbuin","page_name":"NicolasCherbuin","domain_name":"anu-au","created_at":"2011-01-25T10:53:15.454-08:00","display_name":"Nicolas Cherbuin","url":"https://anu-au.academia.edu/NicolasCherbuin"},"attachments":[],"research_interests":[{"id":237,"name":"Cognitive Science","url":"https://www.academia.edu/Documents/in/Cognitive_Science"},{"id":244814,"name":"Clinical Sciences","url":"https://www.academia.edu/Documents/in/Clinical_Sciences"},{"id":1239755,"name":"Neurosciences","url":"https://www.academia.edu/Documents/in/Neurosciences"}],"urls":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="74827840"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/74827840/Tailored_and_Adaptive_Computerized_Cognitive_Training_in_Older_Adults_at_Risk_for_Dementia_A_Randomized_Controlled_Trial"><img alt="Research paper thumbnail of Tailored and Adaptive Computerized Cognitive Training in Older Adults at Risk for Dementia: A Randomized Controlled Trial" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/74827840/Tailored_and_Adaptive_Computerized_Cognitive_Training_in_Older_Adults_at_Risk_for_Dementia_A_Randomized_Controlled_Trial">Tailored and Adaptive Computerized Cognitive Training in Older Adults at Risk for Dementia: A Randomized Controlled Trial</a></div><div class="wp-workCard_item"><span>Journal of Alzheimer's Disease</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Computerized Cognitive Training (CCT) has been shown to improve cognitive function in older adult...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Computerized Cognitive Training (CCT) has been shown to improve cognitive function in older adults with mild cognitive impairment (MCI) or mood-related neuropsychiatric symptoms (MrNPS), but many questions remain unresolved. To evaluate the extent to which CCT benefits older adults with both MCI and MrNPS, and its effects on meta-cognitive and non-cognitive outcomes, as well as establish whether adapting difficulty levels and tailoring to individuals&amp;amp;amp;amp;amp;#39; profile is superior to generic training. Older adults with MCI (n = 9), MrNPS (n = 11), or both (MCI+, n = 25) were randomized into a home-based individually-tailored and adaptive CCT (n = 21) or an active control condition (AC; n = 23) in a double-blind design. Interventions lasted 8-12 weeks and outcomes were assessed after the intervention, and at a 3-month follow-up. Participants in both conditions reported greater satisfaction with their everyday memory following intervention and at follow-up. However, participants in the CCT condition showed greater improvement on composite measures of memory, learning, and global cognition at follow-up. Participants with MrNPS in the CCT condition were also found to have improved mood at 3-month follow-up and reported using fewer memory strategies at the post-intervention and follow-up assessments. There was no evidence that participants with MCI+ were disadvantaged relative to the other diagnostic conditions. Finally, informant-rated caregiver burden declined at follow-up assessment in the CCT condition relative to the AC condition. Home-based CCT with adaptive difficulty and personal tailoring appears superior to more generic CCT in relation to both cognitive and non-cognitive outcomes. Mechanisms of treatment effect and future directions are discussed.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="74827840"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="74827840"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 74827840; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=74827840]").text(description); $(".js-view-count[data-work-id=74827840]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 74827840; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='74827840']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 74827840, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=74827840]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":74827840,"title":"Tailored and Adaptive Computerized Cognitive Training in Older Adults at Risk for Dementia: A Randomized Controlled Trial","translated_title":"","metadata":{"abstract":"Computerized Cognitive Training (CCT) has been shown to improve cognitive function in older adults with mild cognitive impairment (MCI) or mood-related neuropsychiatric symptoms (MrNPS), but many questions remain unresolved. To evaluate the extent to which CCT benefits older adults with both MCI and MrNPS, and its effects on meta-cognitive and non-cognitive outcomes, as well as establish whether adapting difficulty levels and tailoring to individuals\u0026amp;amp;amp;amp;amp;#39; profile is superior to generic training. Older adults with MCI (n = 9), MrNPS (n = 11), or both (MCI+, n = 25) were randomized into a home-based individually-tailored and adaptive CCT (n = 21) or an active control condition (AC; n = 23) in a double-blind design. Interventions lasted 8-12 weeks and outcomes were assessed after the intervention, and at a 3-month follow-up. Participants in both conditions reported greater satisfaction with their everyday memory following intervention and at follow-up. However, participants in the CCT condition showed greater improvement on composite measures of memory, learning, and global cognition at follow-up. Participants with MrNPS in the CCT condition were also found to have improved mood at 3-month follow-up and reported using fewer memory strategies at the post-intervention and follow-up assessments. There was no evidence that participants with MCI+ were disadvantaged relative to the other diagnostic conditions. Finally, informant-rated caregiver burden declined at follow-up assessment in the CCT condition relative to the AC condition. Home-based CCT with adaptive difficulty and personal tailoring appears superior to more generic CCT in relation to both cognitive and non-cognitive outcomes. Mechanisms of treatment effect and future directions are discussed.","publisher":"IOS Press","publication_name":"Journal of Alzheimer's Disease"},"translated_abstract":"Computerized Cognitive Training (CCT) has been shown to improve cognitive function in older adults with mild cognitive impairment (MCI) or mood-related neuropsychiatric symptoms (MrNPS), but many questions remain unresolved. To evaluate the extent to which CCT benefits older adults with both MCI and MrNPS, and its effects on meta-cognitive and non-cognitive outcomes, as well as establish whether adapting difficulty levels and tailoring to individuals\u0026amp;amp;amp;amp;amp;#39; profile is superior to generic training. Older adults with MCI (n = 9), MrNPS (n = 11), or both (MCI+, n = 25) were randomized into a home-based individually-tailored and adaptive CCT (n = 21) or an active control condition (AC; n = 23) in a double-blind design. Interventions lasted 8-12 weeks and outcomes were assessed after the intervention, and at a 3-month follow-up. Participants in both conditions reported greater satisfaction with their everyday memory following intervention and at follow-up. However, participants in the CCT condition showed greater improvement on composite measures of memory, learning, and global cognition at follow-up. Participants with MrNPS in the CCT condition were also found to have improved mood at 3-month follow-up and reported using fewer memory strategies at the post-intervention and follow-up assessments. There was no evidence that participants with MCI+ were disadvantaged relative to the other diagnostic conditions. Finally, informant-rated caregiver burden declined at follow-up assessment in the CCT condition relative to the AC condition. Home-based CCT with adaptive difficulty and personal tailoring appears superior to more generic CCT in relation to both cognitive and non-cognitive outcomes. Mechanisms of treatment effect and future directions are discussed.","internal_url":"https://www.academia.edu/74827840/Tailored_and_Adaptive_Computerized_Cognitive_Training_in_Older_Adults_at_Risk_for_Dementia_A_Randomized_Controlled_Trial","translated_internal_url":"","created_at":"2022-03-28T15:26:03.472-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":316138,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[],"slug":"Tailored_and_Adaptive_Computerized_Cognitive_Training_in_Older_Adults_at_Risk_for_Dementia_A_Randomized_Controlled_Trial","translated_slug":"","page_count":null,"language":"en","content_type":"Work","owner":{"id":316138,"first_name":"Nicolas","middle_initials":null,"last_name":"Cherbuin","page_name":"NicolasCherbuin","domain_name":"anu-au","created_at":"2011-01-25T10:53:15.454-08:00","display_name":"Nicolas Cherbuin","url":"https://anu-au.academia.edu/NicolasCherbuin"},"attachments":[],"research_interests":[{"id":237,"name":"Cognitive Science","url":"https://www.academia.edu/Documents/in/Cognitive_Science"},{"id":244814,"name":"Clinical Sciences","url":"https://www.academia.edu/Documents/in/Clinical_Sciences"},{"id":1239755,"name":"Neurosciences","url":"https://www.academia.edu/Documents/in/Neurosciences"}],"urls":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="74827839"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/74827839/Personality_and_Total_Health_Through_Life_Project_Eye_Substudy_Methodology_and_Baseline_Retinal_Features"><img alt="Research paper thumbnail of Personality and Total Health Through Life Project Eye Substudy: Methodology and Baseline Retinal Features" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/74827839/Personality_and_Total_Health_Through_Life_Project_Eye_Substudy_Methodology_and_Baseline_Retinal_Features">Personality and Total Health Through Life Project Eye Substudy: Methodology and Baseline Retinal Features</a></div><div class="wp-workCard_item"><span>Asia-Pacific journal of ophthalmology (Philadelphia, Pa.)</span><span>, Jan 27, 2017</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">To describe the methodology and present the retinal grading findings of an older sample of Austra...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">To describe the methodology and present the retinal grading findings of an older sample of Australians with well-defined indices of neurocognitive function in the Personality and Total Health (PATH) Through Life project. A cross-sectional study. Three hundred twenty-six individuals from the PATH Through Life project were invited to participate. Participants completed a general questionnaire and 2-field, 45-degree nonmydriatic color digital retinal photography. Photographs were graded for retinal pathology according to established protocols. Two hundred fifty-four (77.9%) subjects, aged 72 to 78 years, agreed to participate in the eye substudy. Gradable images of at least 1 eye were acquired in 211 of 254 subjects (83.1%). Retinal photographic screening identified 1 or more signs of pathology in 130 of the 174 subjects (74.7%) with gradable images of both eyes. A total of 45 participants (17.7%) had self-reported diabetes and diabetic retinopathy was observed in 22 (48.9%) of these p...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="74827839"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="74827839"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 74827839; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=74827839]").text(description); $(".js-view-count[data-work-id=74827839]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 74827839; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='74827839']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 74827839, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=74827839]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":74827839,"title":"Personality and Total Health Through Life Project Eye Substudy: Methodology and Baseline Retinal Features","translated_title":"","metadata":{"abstract":"To describe the methodology and present the retinal grading findings of an older sample of Australians with well-defined indices of neurocognitive function in the Personality and Total Health (PATH) Through Life project. A cross-sectional study. Three hundred twenty-six individuals from the PATH Through Life project were invited to participate. Participants completed a general questionnaire and 2-field, 45-degree nonmydriatic color digital retinal photography. Photographs were graded for retinal pathology according to established protocols. Two hundred fifty-four (77.9%) subjects, aged 72 to 78 years, agreed to participate in the eye substudy. Gradable images of at least 1 eye were acquired in 211 of 254 subjects (83.1%). Retinal photographic screening identified 1 or more signs of pathology in 130 of the 174 subjects (74.7%) with gradable images of both eyes. A total of 45 participants (17.7%) had self-reported diabetes and diabetic retinopathy was observed in 22 (48.9%) of these p...","publication_date":{"day":27,"month":1,"year":2017,"errors":{}},"publication_name":"Asia-Pacific journal of ophthalmology (Philadelphia, Pa.)"},"translated_abstract":"To describe the methodology and present the retinal grading findings of an older sample of Australians with well-defined indices of neurocognitive function in the Personality and Total Health (PATH) Through Life project. A cross-sectional study. Three hundred twenty-six individuals from the PATH Through Life project were invited to participate. Participants completed a general questionnaire and 2-field, 45-degree nonmydriatic color digital retinal photography. Photographs were graded for retinal pathology according to established protocols. Two hundred fifty-four (77.9%) subjects, aged 72 to 78 years, agreed to participate in the eye substudy. Gradable images of at least 1 eye were acquired in 211 of 254 subjects (83.1%). Retinal photographic screening identified 1 or more signs of pathology in 130 of the 174 subjects (74.7%) with gradable images of both eyes. A total of 45 participants (17.7%) had self-reported diabetes and diabetic retinopathy was observed in 22 (48.9%) of these p...","internal_url":"https://www.academia.edu/74827839/Personality_and_Total_Health_Through_Life_Project_Eye_Substudy_Methodology_and_Baseline_Retinal_Features","translated_internal_url":"","created_at":"2022-03-28T15:26:03.314-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":316138,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[],"slug":"Personality_and_Total_Health_Through_Life_Project_Eye_Substudy_Methodology_and_Baseline_Retinal_Features","translated_slug":"","page_count":null,"language":"en","content_type":"Work","owner":{"id":316138,"first_name":"Nicolas","middle_initials":null,"last_name":"Cherbuin","page_name":"NicolasCherbuin","domain_name":"anu-au","created_at":"2011-01-25T10:53:15.454-08:00","display_name":"Nicolas Cherbuin","url":"https://anu-au.academia.edu/NicolasCherbuin"},"attachments":[],"research_interests":[{"id":2672,"name":"Personality","url":"https://www.academia.edu/Documents/in/Personality"},{"id":4212,"name":"Cognition","url":"https://www.academia.edu/Documents/in/Cognition"},{"id":6697,"name":"Australia","url":"https://www.academia.edu/Documents/in/Australia"},{"id":26327,"name":"Medicine","url":"https://www.academia.edu/Documents/in/Medicine"},{"id":117200,"name":"Retina","url":"https://www.academia.edu/Documents/in/Retina"},{"id":232534,"name":"Health Status","url":"https://www.academia.edu/Documents/in/Health_Status"},{"id":289271,"name":"Aged","url":"https://www.academia.edu/Documents/in/Aged"},{"id":990525,"name":"Retinal Diseases","url":"https://www.academia.edu/Documents/in/Retinal_Diseases"},{"id":1034181,"name":"Cross Sectional Studies","url":"https://www.academia.edu/Documents/in/Cross_Sectional_Studies"}],"urls":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="74827838"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/74827838/Cancer_and_Cognitive_Function_The_PATH_Through_Life_Project"><img alt="Research paper thumbnail of Cancer and Cognitive Function: The PATH Through Life Project" class="work-thumbnail" src="https://attachments.academia-assets.com/82839773/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/74827838/Cancer_and_Cognitive_Function_The_PATH_Through_Life_Project">Cancer and Cognitive Function: The PATH Through Life Project</a></div><div class="wp-workCard_item"><span>The journals of gerontology. Series A, Biological sciences and medical sciences</span><span>, Jan 4, 2017</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">A limited number of studies have shown that cancer diagnosis plays a protective role in Alzheimer...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">A limited number of studies have shown that cancer diagnosis plays a protective role in Alzheimer&#39;s disease. However, the effect of the cancer diagnosis on general cognitive function/cognitive decline has not been previously examined. The aim of this study was to investigate the relationship between cancer diagnosis and cognitive function and mild cognitive impairment/disorders (MCI/MCD), adjusting for cancer treatments. These data were drawn from the Personality and Total Health (PATH) Through Life Study, a population-based Australian cohort study. A total of 2,547 participants (age range 60-66 years; 48.4% women) who answered cancer-related questions were included in analyses. Random effects linear and logistic models were used to analyze 8-year follow-up data. Participants who were diagnosed with cancer at or prior to baseline (n = 166) had higher levels of physical conditions and depression compared with those who received cancer diagnoses during follow-ups (n = 346) and tho...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="0e337e477866c8c2fdb9c43b391cb607" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":82839773,"asset_id":74827838,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/82839773/download_file?st=MTczMjc5Mzc2Nyw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="74827838"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="74827838"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 74827838; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=74827838]").text(description); $(".js-view-count[data-work-id=74827838]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 74827838; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='74827838']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 74827838, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "0e337e477866c8c2fdb9c43b391cb607" } } $('.js-work-strip[data-work-id=74827838]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":74827838,"title":"Cancer and Cognitive Function: The PATH Through Life Project","translated_title":"","metadata":{"abstract":"A limited number of studies have shown that cancer diagnosis plays a protective role in Alzheimer\u0026#39;s disease. However, the effect of the cancer diagnosis on general cognitive function/cognitive decline has not been previously examined. The aim of this study was to investigate the relationship between cancer diagnosis and cognitive function and mild cognitive impairment/disorders (MCI/MCD), adjusting for cancer treatments. These data were drawn from the Personality and Total Health (PATH) Through Life Study, a population-based Australian cohort study. A total of 2,547 participants (age range 60-66 years; 48.4% women) who answered cancer-related questions were included in analyses. Random effects linear and logistic models were used to analyze 8-year follow-up data. Participants who were diagnosed with cancer at or prior to baseline (n = 166) had higher levels of physical conditions and depression compared with those who received cancer diagnoses during follow-ups (n = 346) and tho...","publication_date":{"day":4,"month":1,"year":2017,"errors":{}},"publication_name":"The journals of gerontology. Series A, Biological sciences and medical sciences"},"translated_abstract":"A limited number of studies have shown that cancer diagnosis plays a protective role in Alzheimer\u0026#39;s disease. However, the effect of the cancer diagnosis on general cognitive function/cognitive decline has not been previously examined. The aim of this study was to investigate the relationship between cancer diagnosis and cognitive function and mild cognitive impairment/disorders (MCI/MCD), adjusting for cancer treatments. These data were drawn from the Personality and Total Health (PATH) Through Life Study, a population-based Australian cohort study. A total of 2,547 participants (age range 60-66 years; 48.4% women) who answered cancer-related questions were included in analyses. Random effects linear and logistic models were used to analyze 8-year follow-up data. Participants who were diagnosed with cancer at or prior to baseline (n = 166) had higher levels of physical conditions and depression compared with those who received cancer diagnoses during follow-ups (n = 346) and tho...","internal_url":"https://www.academia.edu/74827838/Cancer_and_Cognitive_Function_The_PATH_Through_Life_Project","translated_internal_url":"","created_at":"2022-03-28T15:26:03.166-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":316138,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":82839773,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/82839773/thumbnails/1.jpg","file_name":"25867775.pdf","download_url":"https://www.academia.edu/attachments/82839773/download_file?st=MTczMjc5Mzc2Nyw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Cancer_and_Cognitive_Function_The_PATH_T.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/82839773/25867775-libre.pdf?1648506913=\u0026response-content-disposition=attachment%3B+filename%3DCancer_and_Cognitive_Function_The_PATH_T.pdf\u0026Expires=1732784194\u0026Signature=C2FA9iSjbePWhDJgTpRhVitVhZudNRUnSn7MXMsjN77utAUyEXOzGmjMrfxE2vKSGNGyfu-PF3dWsi9Y1Y-R4kz6ldHX1rFc0FeYz6oy4TFn6N7Qy0l~PwE1GWsgnhlnCZ2i3kHxgjM1molmCOYsqLESzfe3WfkSV4uEX0-6sOi6Wn~3wGbBH8SanAXh~miy9l~yoclOpEkhy~upLEnsGoHpmzHLT7FKQMj4C9yYiPRCGB60B~8nU5X7JLnhtegaB8NcF5Zf29cV9vfT9EG7WkP9HtfH9qjMgW~gxy9qfMaUPcE2q~0xNhYTXADYGGfkJSG4fh1WXiKMhHHfu7Yf5A__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"Cancer_and_Cognitive_Function_The_PATH_Through_Life_Project","translated_slug":"","page_count":5,"language":"en","content_type":"Work","owner":{"id":316138,"first_name":"Nicolas","middle_initials":null,"last_name":"Cherbuin","page_name":"NicolasCherbuin","domain_name":"anu-au","created_at":"2011-01-25T10:53:15.454-08:00","display_name":"Nicolas Cherbuin","url":"https://anu-au.academia.edu/NicolasCherbuin"},"attachments":[{"id":82839773,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/82839773/thumbnails/1.jpg","file_name":"25867775.pdf","download_url":"https://www.academia.edu/attachments/82839773/download_file?st=MTczMjc5Mzc2Nyw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Cancer_and_Cognitive_Function_The_PATH_T.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/82839773/25867775-libre.pdf?1648506913=\u0026response-content-disposition=attachment%3B+filename%3DCancer_and_Cognitive_Function_The_PATH_T.pdf\u0026Expires=1732784194\u0026Signature=C2FA9iSjbePWhDJgTpRhVitVhZudNRUnSn7MXMsjN77utAUyEXOzGmjMrfxE2vKSGNGyfu-PF3dWsi9Y1Y-R4kz6ldHX1rFc0FeYz6oy4TFn6N7Qy0l~PwE1GWsgnhlnCZ2i3kHxgjM1molmCOYsqLESzfe3WfkSV4uEX0-6sOi6Wn~3wGbBH8SanAXh~miy9l~yoclOpEkhy~upLEnsGoHpmzHLT7FKQMj4C9yYiPRCGB60B~8nU5X7JLnhtegaB8NcF5Zf29cV9vfT9EG7WkP9HtfH9qjMgW~gxy9qfMaUPcE2q~0xNhYTXADYGGfkJSG4fh1WXiKMhHHfu7Yf5A__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":6697,"name":"Australia","url":"https://www.academia.edu/Documents/in/Australia"},{"id":244814,"name":"Clinical Sciences","url":"https://www.academia.edu/Documents/in/Clinical_Sciences"},{"id":289271,"name":"Aged","url":"https://www.academia.edu/Documents/in/Aged"},{"id":330953,"name":"Longitudinal Studies","url":"https://www.academia.edu/Documents/in/Longitudinal_Studies"},{"id":469018,"name":"Neoplasms","url":"https://www.academia.edu/Documents/in/Neoplasms"},{"id":2467548,"name":"Neuropsychological Tests","url":"https://www.academia.edu/Documents/in/Neuropsychological_Tests"},{"id":2807004,"name":"Cognitive dysfunction","url":"https://www.academia.edu/Documents/in/Cognitive_dysfunction"}],"urls":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="74827836"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/74827836/Increasing_Body_Mass_Index_at_Midlife_is_Associated_with_Increased_Cortical_Thinning_in_Alzheimers_Disease_Vulnerable_Regions"><img alt="Research paper thumbnail of Increasing Body Mass Index at Midlife is Associated with Increased Cortical Thinning in Alzheimer's Disease-Vulnerable Regions" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/74827836/Increasing_Body_Mass_Index_at_Midlife_is_Associated_with_Increased_Cortical_Thinning_in_Alzheimers_Disease_Vulnerable_Regions">Increasing Body Mass Index at Midlife is Associated with Increased Cortical Thinning in Alzheimer's Disease-Vulnerable Regions</a></div><div class="wp-workCard_item"><span>Journal of Alzheimer's disease : JAD</span><span>, Jan 26, 2017</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Higher body mass index (BMI) at midlife is associated with greater decreases in cognitive functio...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Higher body mass index (BMI) at midlife is associated with greater decreases in cognitive function at older age as well as increased Alzheimer&#39;s disease (AD) risk, compared to those with normal BMI. Here, we tested whether BMI at midlife was associated with cortical thinning in brain regions known to be affected in early AD. We examined a large sample (n = 404) of midlife individuals (44-49 years) from the PATH population-based study. Individuals were scanned with magnetic resonance imaging (1.5T) on up to three occasions over eight years. Change in cortical thickness was modeled as a linear function of BMI and change in BMI longitudinally. Being obese was associated with thinner right frontal cortex at baseline (44-49 years). Across all individuals, increasing BMI over the 8-year study period was associated with increased cortical thinning in posterior cingulate bilaterally, as well as right lingual gyrus, anterior cingulate, and the peri-calcarine sulcus. Accelerated age-relat...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="74827836"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="74827836"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 74827836; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=74827836]").text(description); $(".js-view-count[data-work-id=74827836]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 74827836; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='74827836']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 74827836, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=74827836]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":74827836,"title":"Increasing Body Mass Index at Midlife is Associated with Increased Cortical Thinning in Alzheimer's Disease-Vulnerable Regions","translated_title":"","metadata":{"abstract":"Higher body mass index (BMI) at midlife is associated with greater decreases in cognitive function at older age as well as increased Alzheimer\u0026#39;s disease (AD) risk, compared to those with normal BMI. Here, we tested whether BMI at midlife was associated with cortical thinning in brain regions known to be affected in early AD. We examined a large sample (n = 404) of midlife individuals (44-49 years) from the PATH population-based study. Individuals were scanned with magnetic resonance imaging (1.5T) on up to three occasions over eight years. Change in cortical thickness was modeled as a linear function of BMI and change in BMI longitudinally. Being obese was associated with thinner right frontal cortex at baseline (44-49 years). Across all individuals, increasing BMI over the 8-year study period was associated with increased cortical thinning in posterior cingulate bilaterally, as well as right lingual gyrus, anterior cingulate, and the peri-calcarine sulcus. Accelerated age-relat...","publication_date":{"day":26,"month":1,"year":2017,"errors":{}},"publication_name":"Journal of Alzheimer's disease : JAD"},"translated_abstract":"Higher body mass index (BMI) at midlife is associated with greater decreases in cognitive function at older age as well as increased Alzheimer\u0026#39;s disease (AD) risk, compared to those with normal BMI. Here, we tested whether BMI at midlife was associated with cortical thinning in brain regions known to be affected in early AD. We examined a large sample (n = 404) of midlife individuals (44-49 years) from the PATH population-based study. Individuals were scanned with magnetic resonance imaging (1.5T) on up to three occasions over eight years. Change in cortical thickness was modeled as a linear function of BMI and change in BMI longitudinally. Being obese was associated with thinner right frontal cortex at baseline (44-49 years). Across all individuals, increasing BMI over the 8-year study period was associated with increased cortical thinning in posterior cingulate bilaterally, as well as right lingual gyrus, anterior cingulate, and the peri-calcarine sulcus. Accelerated age-relat...","internal_url":"https://www.academia.edu/74827836/Increasing_Body_Mass_Index_at_Midlife_is_Associated_with_Increased_Cortical_Thinning_in_Alzheimers_Disease_Vulnerable_Regions","translated_internal_url":"","created_at":"2022-03-28T15:26:03.019-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":316138,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[],"slug":"Increasing_Body_Mass_Index_at_Midlife_is_Associated_with_Increased_Cortical_Thinning_in_Alzheimers_Disease_Vulnerable_Regions","translated_slug":"","page_count":null,"language":"en","content_type":"Work","owner":{"id":316138,"first_name":"Nicolas","middle_initials":null,"last_name":"Cherbuin","page_name":"NicolasCherbuin","domain_name":"anu-au","created_at":"2011-01-25T10:53:15.454-08:00","display_name":"Nicolas Cherbuin","url":"https://anu-au.academia.edu/NicolasCherbuin"},"attachments":[],"research_interests":[{"id":237,"name":"Cognitive Science","url":"https://www.academia.edu/Documents/in/Cognitive_Science"},{"id":26327,"name":"Medicine","url":"https://www.academia.edu/Documents/in/Medicine"},{"id":152666,"name":"iOS","url":"https://www.academia.edu/Documents/in/iOS"},{"id":244814,"name":"Clinical Sciences","url":"https://www.academia.edu/Documents/in/Clinical_Sciences"},{"id":1239755,"name":"Neurosciences","url":"https://www.academia.edu/Documents/in/Neurosciences"}],"urls":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="74827834"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/74827834/Promising_Links_between_Meditation_and_Reduced_Brain_Aging_An_Attempt_to_Bridge_Some_Gaps_between_the_Alleged_Fountain_of_Youth_and_the_Youth_of_the_Field"><img alt="Research paper thumbnail of Promising Links between Meditation and Reduced (Brain) Aging: An Attempt to Bridge Some Gaps between the Alleged Fountain of Youth and the Youth of the Field" class="work-thumbnail" src="https://attachments.academia-assets.com/82839770/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/74827834/Promising_Links_between_Meditation_and_Reduced_Brain_Aging_An_Attempt_to_Bridge_Some_Gaps_between_the_Alleged_Fountain_of_Youth_and_the_Youth_of_the_Field">Promising Links between Meditation and Reduced (Brain) Aging: An Attempt to Bridge Some Gaps between the Alleged Fountain of Youth and the Youth of the Field</a></div><div class="wp-workCard_item"><span>Frontiers in psychology</span><span>, 2017</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Over the last decade, an increasing number of studies has reported a positive impact of meditatio...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Over the last decade, an increasing number of studies has reported a positive impact of meditation on cerebral aging. However, the underlying mechanisms for these seemingly brain-protecting effects are not well-understood. This may be due to the fact, at least partly, that systematic empirical meditation research has emerged only recently as a field of scientific scrutiny. Thus, on the one hand, critical questions remain largely unanswered; and on the other hand, outcomes of existing research require better integration to build a more comprehensive and holistic picture. In this article, we first review theories and mechanisms pertaining to normal (brain) aging, specifically focusing on telomeres, inflammation, stress regulation, and macroscopic brain anatomy. Then, we summarize existing research integrating the developing evidence suggesting that meditation exerts positive effects on (brain) aging, while carefully discussing possible mechanisms through which these effects may be med...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="4725b2e5109a477c2ea74b33e4ef6d7f" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":82839770,"asset_id":74827834,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/82839770/download_file?st=MTczMjc5Mzc2Nyw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="74827834"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="74827834"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 74827834; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=74827834]").text(description); $(".js-view-count[data-work-id=74827834]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 74827834; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='74827834']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 74827834, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "4725b2e5109a477c2ea74b33e4ef6d7f" } } $('.js-work-strip[data-work-id=74827834]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":74827834,"title":"Promising Links between Meditation and Reduced (Brain) Aging: An Attempt to Bridge Some Gaps between the Alleged Fountain of Youth and the Youth of the Field","translated_title":"","metadata":{"abstract":"Over the last decade, an increasing number of studies has reported a positive impact of meditation on cerebral aging. However, the underlying mechanisms for these seemingly brain-protecting effects are not well-understood. This may be due to the fact, at least partly, that systematic empirical meditation research has emerged only recently as a field of scientific scrutiny. Thus, on the one hand, critical questions remain largely unanswered; and on the other hand, outcomes of existing research require better integration to build a more comprehensive and holistic picture. In this article, we first review theories and mechanisms pertaining to normal (brain) aging, specifically focusing on telomeres, inflammation, stress regulation, and macroscopic brain anatomy. Then, we summarize existing research integrating the developing evidence suggesting that meditation exerts positive effects on (brain) aging, while carefully discussing possible mechanisms through which these effects may be med...","publication_date":{"day":null,"month":null,"year":2017,"errors":{}},"publication_name":"Frontiers in psychology"},"translated_abstract":"Over the last decade, an increasing number of studies has reported a positive impact of meditation on cerebral aging. However, the underlying mechanisms for these seemingly brain-protecting effects are not well-understood. This may be due to the fact, at least partly, that systematic empirical meditation research has emerged only recently as a field of scientific scrutiny. Thus, on the one hand, critical questions remain largely unanswered; and on the other hand, outcomes of existing research require better integration to build a more comprehensive and holistic picture. In this article, we first review theories and mechanisms pertaining to normal (brain) aging, specifically focusing on telomeres, inflammation, stress regulation, and macroscopic brain anatomy. Then, we summarize existing research integrating the developing evidence suggesting that meditation exerts positive effects on (brain) aging, while carefully discussing possible mechanisms through which these effects may be med...","internal_url":"https://www.academia.edu/74827834/Promising_Links_between_Meditation_and_Reduced_Brain_Aging_An_Attempt_to_Bridge_Some_Gaps_between_the_Alleged_Fountain_of_Youth_and_the_Youth_of_the_Field","translated_internal_url":"","created_at":"2022-03-28T15:26:02.877-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":316138,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":82839770,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/82839770/thumbnails/1.jpg","file_name":"9cba927f923c253bb011bd16c73cacafa627.pdf","download_url":"https://www.academia.edu/attachments/82839770/download_file?st=MTczMjc5Mzc2Nyw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Promising_Links_between_Meditation_and_R.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/82839770/9cba927f923c253bb011bd16c73cacafa627-libre.pdf?1648506912=\u0026response-content-disposition=attachment%3B+filename%3DPromising_Links_between_Meditation_and_R.pdf\u0026Expires=1732784194\u0026Signature=YEkUNQ3K4pBN2nZ2KDYSZiov8GLNQ33Ev9actondZpHBYKwDtxQolAv8wddXzMyH4uSfq7Qj3hWgaLJvQGDC7Shkybr6KFZiZVGpXKJxZyYUQRkZzt6XRLEsKsrWsf63-4BrKr8844OmhswvenRrKWjZtBe27C4PEW6q5lB49L4gFwBoE9x2d0bqNbRU2hekq~wz23oGAB4sXNYxjynphUyhP4zQ609RkyX7N2a0muWY0SmOZcmgduU7XGVipJ65kEth-vddK4uneWJfaAN1b1KYIyuKXF88EihvEY3fWFFRv6ezKu-7daX4qSJHf6Rcb2cbFHyWW3~4OY3UcZWHWA__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"Promising_Links_between_Meditation_and_Reduced_Brain_Aging_An_Attempt_to_Bridge_Some_Gaps_between_the_Alleged_Fountain_of_Youth_and_the_Youth_of_the_Field","translated_slug":"","page_count":8,"language":"en","content_type":"Work","owner":{"id":316138,"first_name":"Nicolas","middle_initials":null,"last_name":"Cherbuin","page_name":"NicolasCherbuin","domain_name":"anu-au","created_at":"2011-01-25T10:53:15.454-08:00","display_name":"Nicolas Cherbuin","url":"https://anu-au.academia.edu/NicolasCherbuin"},"attachments":[{"id":82839770,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/82839770/thumbnails/1.jpg","file_name":"9cba927f923c253bb011bd16c73cacafa627.pdf","download_url":"https://www.academia.edu/attachments/82839770/download_file?st=MTczMjc5Mzc2Nyw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Promising_Links_between_Meditation_and_R.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/82839770/9cba927f923c253bb011bd16c73cacafa627-libre.pdf?1648506912=\u0026response-content-disposition=attachment%3B+filename%3DPromising_Links_between_Meditation_and_R.pdf\u0026Expires=1732784194\u0026Signature=YEkUNQ3K4pBN2nZ2KDYSZiov8GLNQ33Ev9actondZpHBYKwDtxQolAv8wddXzMyH4uSfq7Qj3hWgaLJvQGDC7Shkybr6KFZiZVGpXKJxZyYUQRkZzt6XRLEsKsrWsf63-4BrKr8844OmhswvenRrKWjZtBe27C4PEW6q5lB49L4gFwBoE9x2d0bqNbRU2hekq~wz23oGAB4sXNYxjynphUyhP4zQ609RkyX7N2a0muWY0SmOZcmgduU7XGVipJ65kEth-vddK4uneWJfaAN1b1KYIyuKXF88EihvEY3fWFFRv6ezKu-7daX4qSJHf6Rcb2cbFHyWW3~4OY3UcZWHWA__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":221,"name":"Psychology","url":"https://www.academia.edu/Documents/in/Psychology"}],"urls":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="74827833"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/74827833/The_association_between_Western_and_Prudent_dietary_patterns_and_fasting_blood_glucose_levels_in_type_2_diabetes_and_normal_glucose_metabolism_in_older_Australian_adults"><img alt="Research paper thumbnail of The association between Western and Prudent dietary patterns and fasting blood glucose levels in type 2 diabetes and normal glucose metabolism in older Australian adults" class="work-thumbnail" src="https://attachments.academia-assets.com/82839771/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/74827833/The_association_between_Western_and_Prudent_dietary_patterns_and_fasting_blood_glucose_levels_in_type_2_diabetes_and_normal_glucose_metabolism_in_older_Australian_adults">The association between Western and Prudent dietary patterns and fasting blood glucose levels in type 2 diabetes and normal glucose metabolism in older Australian adults</a></div><div class="wp-workCard_item"><span>Heliyon</span><span>, 2017</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">High blood glucose and type 2 diabetes are associated with a range of adverse health and cognitiv...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">High blood glucose and type 2 diabetes are associated with a range of adverse health and cognitive outcomes. One factor that contributes to high blood glucose and type 2 diabetes is dietary intake. This study investigated the relationship between dietary patterns, fasting blood glucose and diabetes status in a sample of 209 participants aged 60-65. Blood plasma glucose was measured from venous blood samples. Individual Prudent and Western dietary patterns were estimated from a self-completed food frequency questionnaire. The relationship between dietary patterns, diabetes, and blood glucose was assessed via general linear model analyses controlling for age, sex, height, and total caloric intake. Results indicated that there was no association between Prudent diet and fasting blood glucose levels, or type 2 diabetes. In contrast, an individual in the upper tertile for Western dietary score had a significantly higher risk of having diabetes than an individual in the lower tertile for ...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="b9d30bb07f85748e5dcb179261830174" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":82839771,"asset_id":74827833,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/82839771/download_file?st=MTczMjc5Mzc2Nyw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="74827833"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="74827833"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 74827833; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=74827833]").text(description); $(".js-view-count[data-work-id=74827833]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 74827833; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='74827833']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 74827833, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "b9d30bb07f85748e5dcb179261830174" } } $('.js-work-strip[data-work-id=74827833]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":74827833,"title":"The association between Western and Prudent dietary patterns and fasting blood glucose levels in type 2 diabetes and normal glucose metabolism in older Australian adults","translated_title":"","metadata":{"abstract":"High blood glucose and type 2 diabetes are associated with a range of adverse health and cognitive outcomes. 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In contrast, an individual in the upper tertile for Western dietary score had a significantly higher risk of having diabetes than an individual in the lower tertile for ...","publication_date":{"day":null,"month":null,"year":2017,"errors":{}},"publication_name":"Heliyon"},"translated_abstract":"High blood glucose and type 2 diabetes are associated with a range of adverse health and cognitive outcomes. One factor that contributes to high blood glucose and type 2 diabetes is dietary intake. This study investigated the relationship between dietary patterns, fasting blood glucose and diabetes status in a sample of 209 participants aged 60-65. Blood plasma glucose was measured from venous blood samples. Individual Prudent and Western dietary patterns were estimated from a self-completed food frequency questionnaire. The relationship between dietary patterns, diabetes, and blood glucose was assessed via general linear model analyses controlling for age, sex, height, and total caloric intake. Results indicated that there was no association between Prudent diet and fasting blood glucose levels, or type 2 diabetes. 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="74827832"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/74827832/Validating_the_role_of_the_Australian_National_University_Alzheimers_Disease_Risk_Index_ANU_ADRI_and_a_genetic_risk_score_in_progression_to_cognitive_impairment_in_a_population_based_cohort_of_older_adults_followed_for_12_years"><img alt="Research paper thumbnail of Validating the role of the Australian National University Alzheimer's Disease Risk Index (ANU-ADRI) and a genetic risk score in progression to cognitive impairment in a population-based cohort of older adults followed for 12 years" class="work-thumbnail" src="https://attachments.academia-assets.com/82839887/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/74827832/Validating_the_role_of_the_Australian_National_University_Alzheimers_Disease_Risk_Index_ANU_ADRI_and_a_genetic_risk_score_in_progression_to_cognitive_impairment_in_a_population_based_cohort_of_older_adults_followed_for_12_years">Validating the role of the Australian National University Alzheimer's Disease Risk Index (ANU-ADRI) and a genetic risk score in progression to cognitive impairment in a population-based cohort of older adults followed for 12 years</a></div><div class="wp-workCard_item"><span>Alzheimer's research & therapy</span><span>, Jan 4, 2017</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">The number of people living with dementia is expected to exceed 130 million by 2050, which will h...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">The number of people living with dementia is expected to exceed 130 million by 2050, which will have serious personal, social and economic implications. Employing successful intervention and treatment strategies focused on disease prevention is currently the only available approach that can have an impact on the projected rates of dementia, with risk assessment being a key component of population-based risk reduction for identification of at-risk individuals. We evaluated a risk index comprising lifestyle, medical and demographic factors (the Australian National University Alzheimer&#39;s Disease Risk Index [ANU-ADRI]), as well as a genetic risk score (GRS), for assessment of the risk of progression to mild cognitive impairment (MCI). The ANU-ADRI was computed for the baseline assessment of 2078 participants in the Personality and Total Health (PATH) Through Life project. GRSs were constructed on the basis of 25 single-nucleotide polymorphisms previously associated with Alzheimer&#3...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="7d9f44bdb3da0f40ee9e4fce11151016" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":82839887,"asset_id":74827832,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/82839887/download_file?st=MTczMjc5Mzc2Nyw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="74827832"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="74827832"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 74827832; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=74827832]").text(description); $(".js-view-count[data-work-id=74827832]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 74827832; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='74827832']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 74827832, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "7d9f44bdb3da0f40ee9e4fce11151016" } } $('.js-work-strip[data-work-id=74827832]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":74827832,"title":"Validating the role of the Australian National University Alzheimer's Disease Risk Index (ANU-ADRI) and a genetic risk score in progression to cognitive impairment in a population-based cohort of older adults followed for 12 years","translated_title":"","metadata":{"abstract":"The number of people living with dementia is expected to exceed 130 million by 2050, which will have serious personal, social and economic implications. 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="74827831"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/74827831/Age_related_cognitive_decline_and_associations_with_sex_education_and_apolipoprotein_E_genotype_across_ethnocultural_groups_and_geographic_regions_a_collaborative_cohort_study"><img alt="Research paper thumbnail of Age-related cognitive decline and associations with sex, education and apolipoprotein E genotype across ethnocultural groups and geographic regions: a collaborative cohort study" class="work-thumbnail" src="https://attachments.academia-assets.com/82839799/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/74827831/Age_related_cognitive_decline_and_associations_with_sex_education_and_apolipoprotein_E_genotype_across_ethnocultural_groups_and_geographic_regions_a_collaborative_cohort_study">Age-related cognitive decline and associations with sex, education and apolipoprotein E genotype across ethnocultural groups and geographic regions: a collaborative cohort study</a></div><div class="wp-workCard_item"><span>PLoS medicine</span><span>, 2017</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">The prevalence of dementia varies around the world, potentially contributed to by international d...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">The prevalence of dementia varies around the world, potentially contributed to by international differences in rates of age-related cognitive decline. Our primary goal was to investigate how rates of age-related decline in cognitive test performance varied among international cohort studies of cognitive aging. We also determined the extent to which sex, educational attainment, and apolipoprotein E ε4 allele (APOE*4) carrier status were associated with decline. We harmonized longitudinal data for 14 cohorts from 12 countries (Australia, Brazil, France, Greece, Hong Kong, Italy, Japan, Singapore, Spain, South Korea, United Kingdom, United States), for a total of 42,170 individuals aged 54-105 y (42% male), including 3.3% with dementia at baseline. The studies began between 1989 and 2011, with all but three ongoing, and each had 2-16 assessment waves (median = 3) and a follow-up duration of 2-15 y. We analyzed standardized Mini-Mental State Examination (MMSE) and memory, processing spe...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="41ec5a1e834102c1558b7f86b1794449" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":82839799,"asset_id":74827831,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/82839799/download_file?st=MTczMjc5Mzc2Nyw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="74827831"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="74827831"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 74827831; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=74827831]").text(description); $(".js-view-count[data-work-id=74827831]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 74827831; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='74827831']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 74827831, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "41ec5a1e834102c1558b7f86b1794449" } } $('.js-work-strip[data-work-id=74827831]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":74827831,"title":"Age-related cognitive decline and associations with sex, education and apolipoprotein E genotype across ethnocultural groups and geographic regions: a collaborative cohort study","translated_title":"","metadata":{"abstract":"The prevalence of dementia varies around the world, potentially contributed to by international differences in rates of age-related cognitive decline. 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> </div><div class="profile--tab_content_container js-tab-pane tab-pane" data-section-id="45260" id="papers"><div class="js-work-strip profile--work_container" data-work-id="83176904"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/83176904/Quantification_of_the_biological_age_of_the_brain_using_neuroimaging"><img alt="Research paper thumbnail of Quantification of the biological age of the brain using neuroimaging" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/83176904/Quantification_of_the_biological_age_of_the_brain_using_neuroimaging">Quantification of the biological age of the brain using neuroimaging</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">The cosmetic and behavioural aspects of ageing become increasingly apparent with the passing year...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">The cosmetic and behavioural aspects of ageing become increasingly apparent with the passing years. The individual variability in physical ageing can be immediately observed in people’s face, posture, voice and gait. In contrast, the pace at which our brains age is less obvious, only becoming apparent once substantial neurodegeneration manifests through cognitive decline and dementia. Therefore, a more timely and precise assessment of brain ageing is needed so its determinants and mechanisms can be more effectively identified and ultimately optimised. This chapter describes new approaches aimed at quantifying the biological age of the brain, so-called ‘brain age’; reviews how brain age can be contrasted to chronological age to index risk of premature brain ageing; and explores how brain age can be used to investigate genetic, environmental, health, and lifestyle factors contributing to accelerated ageing. Particular attention is given to the statistical approaches underpinning brain...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="83176904"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="83176904"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 83176904; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=83176904]").text(description); $(".js-view-count[data-work-id=83176904]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 83176904; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='83176904']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 83176904, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=83176904]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":83176904,"title":"Quantification of the biological age of the brain using neuroimaging","translated_title":"","metadata":{"abstract":"The cosmetic and behavioural aspects of ageing become increasingly apparent with the passing years. 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This chapter describes new approaches aimed at quantifying the biological age of the brain, so-called ‘brain age’; reviews how brain age can be contrasted to chronological age to index risk of premature brain ageing; and explores how brain age can be used to investigate genetic, environmental, health, and lifestyle factors contributing to accelerated ageing. Particular attention is given to the statistical approaches underpinning brain...","internal_url":"https://www.academia.edu/83176904/Quantification_of_the_biological_age_of_the_brain_using_neuroimaging","translated_internal_url":"","created_at":"2022-07-14T23:42:54.829-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":316138,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[],"slug":"Quantification_of_the_biological_age_of_the_brain_using_neuroimaging","translated_slug":"","page_count":null,"language":"en","content_type":"Work","owner":{"id":316138,"first_name":"Nicolas","middle_initials":null,"last_name":"Cherbuin","page_name":"NicolasCherbuin","domain_name":"anu-au","created_at":"2011-01-25T10:53:15.454-08:00","display_name":"Nicolas Cherbuin","url":"https://anu-au.academia.edu/NicolasCherbuin"},"attachments":[],"research_interests":[{"id":221,"name":"Psychology","url":"https://www.academia.edu/Documents/in/Psychology"}],"urls":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="83176903"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/83176903/Validated_Alzheimers_Disease_Risk_Index_ANU_ADRI_is_associated_with_smaller_volumes_in_the_default_mode_network_in_the_early_60s"><img alt="Research paper thumbnail of Validated Alzheimer's Disease Risk Index (ANU-ADRI) is associated with smaller volumes in the default mode network in the early 60s" class="work-thumbnail" src="https://attachments.academia-assets.com/88613500/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/83176903/Validated_Alzheimers_Disease_Risk_Index_ANU_ADRI_is_associated_with_smaller_volumes_in_the_default_mode_network_in_the_early_60s">Validated Alzheimer's Disease Risk Index (ANU-ADRI) is associated with smaller volumes in the default mode network in the early 60s</a></div><div class="wp-workCard_item"><span>Brain imaging and behavior</span><span>, Jan 14, 2017</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Strong evidence is available suggesting that effective reduction of exposure to demonstrated modi...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Strong evidence is available suggesting that effective reduction of exposure to demonstrated modifiable risk factors in mid-life or before could significantly decrease the incidence of Alzheimer&#39;s disease (AD) and delay its onset. A key ingredient to achieving this goal is the reliable identification of individuals at risk well before they develop clinical symptoms. The aim of this study was to provide further neuroimaging evidence of the effectiveness of a validated tool, the ANU Alzheimer&#39;s Disease Risk Index, for the assessment of future risk of cognitive decline. Participants were 461 (60-64 years, 48% female) community-living individuals free of dementia at baseline. Associations between risk estimates obtained with the ANU-ADRI, total and regional brain volumes including in the default mode network (DMN) measured at the same assessment and diagnosis of MCI/dementia over a 12-year follow-up were tested in a large sample of community-living individuals free of dementia a...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="c71ea001e64aa0b59e6cdf985e0b8807" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":88613500,"asset_id":83176903,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/88613500/download_file?st=MTczMjc5Mzc2Nyw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="83176903"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="83176903"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 83176903; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=83176903]").text(description); $(".js-view-count[data-work-id=83176903]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 83176903; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='83176903']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 83176903, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "c71ea001e64aa0b59e6cdf985e0b8807" } } $('.js-work-strip[data-work-id=83176903]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":83176903,"title":"Validated Alzheimer's Disease Risk Index (ANU-ADRI) is associated with smaller volumes in the default mode network in the early 60s","translated_title":"","metadata":{"abstract":"Strong evidence is available suggesting that effective reduction of exposure to demonstrated modifiable risk factors in mid-life or before could significantly decrease the incidence of Alzheimer\u0026#39;s disease (AD) and delay its onset. A key ingredient to achieving this goal is the reliable identification of individuals at risk well before they develop clinical symptoms. The aim of this study was to provide further neuroimaging evidence of the effectiveness of a validated tool, the ANU Alzheimer\u0026#39;s Disease Risk Index, for the assessment of future risk of cognitive decline. Participants were 461 (60-64 years, 48% female) community-living individuals free of dementia at baseline. Associations between risk estimates obtained with the ANU-ADRI, total and regional brain volumes including in the default mode network (DMN) measured at the same assessment and diagnosis of MCI/dementia over a 12-year follow-up were tested in a large sample of community-living individuals free of dementia a...","publication_date":{"day":14,"month":1,"year":2017,"errors":{}},"publication_name":"Brain imaging and behavior"},"translated_abstract":"Strong evidence is available suggesting that effective reduction of exposure to demonstrated modifiable risk factors in mid-life or before could significantly decrease the incidence of Alzheimer\u0026#39;s disease (AD) and delay its onset. A key ingredient to achieving this goal is the reliable identification of individuals at risk well before they develop clinical symptoms. The aim of this study was to provide further neuroimaging evidence of the effectiveness of a validated tool, the ANU Alzheimer\u0026#39;s Disease Risk Index, for the assessment of future risk of cognitive decline. Participants were 461 (60-64 years, 48% female) community-living individuals free of dementia at baseline. Associations between risk estimates obtained with the ANU-ADRI, total and regional brain volumes including in the default mode network (DMN) measured at the same assessment and diagnosis of MCI/dementia over a 12-year follow-up were tested in a large sample of community-living individuals free of dementia a...","internal_url":"https://www.academia.edu/83176903/Validated_Alzheimers_Disease_Risk_Index_ANU_ADRI_is_associated_with_smaller_volumes_in_the_default_mode_network_in_the_early_60s","translated_internal_url":"","created_at":"2022-07-14T23:42:54.708-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":316138,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":88613500,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/88613500/thumbnails/1.jpg","file_name":"s11682-017-9789-5.pdf","download_url":"https://www.academia.edu/attachments/88613500/download_file?st=MTczMjc5Mzc2Nyw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Validated_Alzheimers_Disease_Risk_Index.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/88613500/s11682-017-9789-5-libre.pdf?1657870798=\u0026response-content-disposition=attachment%3B+filename%3DValidated_Alzheimers_Disease_Risk_Index.pdf\u0026Expires=1732784193\u0026Signature=b-vl5hARcpiy266u2maFwfNHaDcd0WSUKUEzDwJfksdBgO~w6OmGnfen0FFodWeSo9E439O57~2lO-LxDnq5scsEFNCXonz-iO5p~Qzm3WcnSexSS-AVQPke1G-js-ybz3ucBmkX9NBE1vqsxkJBB3b5m5bxC7LYzIiQ6pmjjEMaVVHECHV07kDVY~N6RvMbTIhUwT1FZIp1DLcR2LWB893HZHeKPKvOJ7K0zOQymX5hQzzIfQKh4Sfm-vFR2XDpzFvK0BfRD-IS9oqF4izP~WnEV~Coff~D9MWS-7m5dDUhXY9ThvD4jpzcM3LVffGiyTuagj83V2C00iXH4gs41g__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"Validated_Alzheimers_Disease_Risk_Index_ANU_ADRI_is_associated_with_smaller_volumes_in_the_default_mode_network_in_the_early_60s","translated_slug":"","page_count":10,"language":"en","content_type":"Work","owner":{"id":316138,"first_name":"Nicolas","middle_initials":null,"last_name":"Cherbuin","page_name":"NicolasCherbuin","domain_name":"anu-au","created_at":"2011-01-25T10:53:15.454-08:00","display_name":"Nicolas Cherbuin","url":"https://anu-au.academia.edu/NicolasCherbuin"},"attachments":[{"id":88613500,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/88613500/thumbnails/1.jpg","file_name":"s11682-017-9789-5.pdf","download_url":"https://www.academia.edu/attachments/88613500/download_file?st=MTczMjc5Mzc2Nyw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Validated_Alzheimers_Disease_Risk_Index.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/88613500/s11682-017-9789-5-libre.pdf?1657870798=\u0026response-content-disposition=attachment%3B+filename%3DValidated_Alzheimers_Disease_Risk_Index.pdf\u0026Expires=1732784193\u0026Signature=b-vl5hARcpiy266u2maFwfNHaDcd0WSUKUEzDwJfksdBgO~w6OmGnfen0FFodWeSo9E439O57~2lO-LxDnq5scsEFNCXonz-iO5p~Qzm3WcnSexSS-AVQPke1G-js-ybz3ucBmkX9NBE1vqsxkJBB3b5m5bxC7LYzIiQ6pmjjEMaVVHECHV07kDVY~N6RvMbTIhUwT1FZIp1DLcR2LWB893HZHeKPKvOJ7K0zOQymX5hQzzIfQKh4Sfm-vFR2XDpzFvK0BfRD-IS9oqF4izP~WnEV~Coff~D9MWS-7m5dDUhXY9ThvD4jpzcM3LVffGiyTuagj83V2C00iXH4gs41g__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":26327,"name":"Medicine","url":"https://www.academia.edu/Documents/in/Medicine"},{"id":88462,"name":"Default Mode Network","url":"https://www.academia.edu/Documents/in/Default_Mode_Network"},{"id":2922956,"name":"Psychology and Cognitive Sciences","url":"https://www.academia.edu/Documents/in/Psychology_and_Cognitive_Sciences"},{"id":3763225,"name":"Medical and Health Sciences","url":"https://www.academia.edu/Documents/in/Medical_and_Health_Sciences"}],"urls":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="83176902"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/83176902/More_Highly_Myelinated_White_Matter_Tracts_are_Associated_with_Faster_Processing_Speed_in_Healthy_Adults"><img alt="Research paper thumbnail of More Highly Myelinated White Matter Tracts are Associated with Faster Processing Speed in Healthy Adults" class="work-thumbnail" src="https://attachments.academia-assets.com/88613499/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/83176902/More_Highly_Myelinated_White_Matter_Tracts_are_Associated_with_Faster_Processing_Speed_in_Healthy_Adults">More Highly Myelinated White Matter Tracts are Associated with Faster Processing Speed in Healthy Adults</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">The objective of this study was to investigate whether the myelin content of white matter tracts ...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">The objective of this study was to investigate whether the myelin content of white matter tracts is predictive of cogni–tive processing speed and whether such associations are modulated by age. Associations between myelin content and processing speed was assessed in 570 community-living individuals (277 middle-age, 293 older-age). Myelin content was measured using the mean T1w/T2w magnetic resonance ratio, in six white matter tracts (anterior corona radiata, superior corona radiata, pontine crossing tract, anterior limb of the internal capsule, genu of the corpus callosum, and splenium of the corpus callosum). Processing speed was estimated by extracting a principal component from 5 sep–arate tests of processing speed. It was found that myelin content of the bilateral anterior limb of the internal capsule and left splenium of the corpus callosum were significant predictors of processing speed, even after controlling for socio-demographic, health and genetic variables and correcting ...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="4ffedd868af5c943326151bdac37d553" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":88613499,"asset_id":83176902,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/88613499/download_file?st=MTczMjc5Mzc2Nyw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="83176902"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="83176902"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 83176902; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=83176902]").text(description); $(".js-view-count[data-work-id=83176902]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 83176902; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='83176902']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 83176902, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "4ffedd868af5c943326151bdac37d553" } } $('.js-work-strip[data-work-id=83176902]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":83176902,"title":"More Highly Myelinated White Matter Tracts are Associated with Faster Processing Speed in Healthy Adults","translated_title":"","metadata":{"abstract":"The objective of this study was to investigate whether the myelin content of white matter tracts is predictive of cogni–tive processing speed and whether such associations are modulated by age. Associations between myelin content and processing speed was assessed in 570 community-living individuals (277 middle-age, 293 older-age). Myelin content was measured using the mean T1w/T2w magnetic resonance ratio, in six white matter tracts (anterior corona radiata, superior corona radiata, pontine crossing tract, anterior limb of the internal capsule, genu of the corpus callosum, and splenium of the corpus callosum). Processing speed was estimated by extracting a principal component from 5 sep–arate tests of processing speed. It was found that myelin content of the bilateral anterior limb of the internal capsule and left splenium of the corpus callosum were significant predictors of processing speed, even after controlling for socio-demographic, health and genetic variables and correcting ...","publisher":"Cold Spring Harbor Laboratory","publication_date":{"day":null,"month":null,"year":2017,"errors":{}}},"translated_abstract":"The objective of this study was to investigate whether the myelin content of white matter tracts is predictive of cogni–tive processing speed and whether such associations are modulated by age. Associations between myelin content and processing speed was assessed in 570 community-living individuals (277 middle-age, 293 older-age). Myelin content was measured using the mean T1w/T2w magnetic resonance ratio, in six white matter tracts (anterior corona radiata, superior corona radiata, pontine crossing tract, anterior limb of the internal capsule, genu of the corpus callosum, and splenium of the corpus callosum). Processing speed was estimated by extracting a principal component from 5 sep–arate tests of processing speed. It was found that myelin content of the bilateral anterior limb of the internal capsule and left splenium of the corpus callosum were significant predictors of processing speed, even after controlling for socio-demographic, health and genetic variables and correcting ...","internal_url":"https://www.academia.edu/83176902/More_Highly_Myelinated_White_Matter_Tracts_are_Associated_with_Faster_Processing_Speed_in_Healthy_Adults","translated_internal_url":"","created_at":"2022-07-14T23:42:54.509-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":316138,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":88613499,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/88613499/thumbnails/1.jpg","file_name":"1-s2.0-S1053811917310935-main.pdf","download_url":"https://www.academia.edu/attachments/88613499/download_file?st=MTczMjc5Mzc2Nyw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"More_Highly_Myelinated_White_Matter_Trac.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/88613499/1-s2.0-S1053811917310935-main-libre.pdf?1657870809=\u0026response-content-disposition=attachment%3B+filename%3DMore_Highly_Myelinated_White_Matter_Trac.pdf\u0026Expires=1732784194\u0026Signature=Oy39u1sqCBsBxcTMz4xoxZlxRtZ-2CGaOCC1DrFnRWSbSy02WwHIN8qyIkuO9~kcn8FASUII36WGC~Tb1Az0lT5DiynppkeYoO0ueZ1aON~dog8eNK0KNnM6qyya~wJUpxnmtvmybfknmpT6R~Akl~m5C4P~II4yKu0Mx8GKZK5CgjcWfLRegRSkc5GjOZu3ewwEzd5K3gkQvYAlhG-EARvH-DCxVoFi9VlJFOk5FFwtimPMayr2hNc0Fu6HRVjJ9n-05GYD-s8drZanLAW1Dbs4JppEByuBo5wKtkHzbcQigeYHIlwy3wZ~az6ONak4bwmO2rXdGZSyrgKJobVHjA__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"More_Highly_Myelinated_White_Matter_Tracts_are_Associated_with_Faster_Processing_Speed_in_Healthy_Adults","translated_slug":"","page_count":37,"language":"en","content_type":"Work","owner":{"id":316138,"first_name":"Nicolas","middle_initials":null,"last_name":"Cherbuin","page_name":"NicolasCherbuin","domain_name":"anu-au","created_at":"2011-01-25T10:53:15.454-08:00","display_name":"Nicolas Cherbuin","url":"https://anu-au.academia.edu/NicolasCherbuin"},"attachments":[{"id":88613499,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/88613499/thumbnails/1.jpg","file_name":"1-s2.0-S1053811917310935-main.pdf","download_url":"https://www.academia.edu/attachments/88613499/download_file?st=MTczMjc5Mzc2Nyw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"More_Highly_Myelinated_White_Matter_Trac.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/88613499/1-s2.0-S1053811917310935-main-libre.pdf?1657870809=\u0026response-content-disposition=attachment%3B+filename%3DMore_Highly_Myelinated_White_Matter_Trac.pdf\u0026Expires=1732784194\u0026Signature=Oy39u1sqCBsBxcTMz4xoxZlxRtZ-2CGaOCC1DrFnRWSbSy02WwHIN8qyIkuO9~kcn8FASUII36WGC~Tb1Az0lT5DiynppkeYoO0ueZ1aON~dog8eNK0KNnM6qyya~wJUpxnmtvmybfknmpT6R~Akl~m5C4P~II4yKu0Mx8GKZK5CgjcWfLRegRSkc5GjOZu3ewwEzd5K3gkQvYAlhG-EARvH-DCxVoFi9VlJFOk5FFwtimPMayr2hNc0Fu6HRVjJ9n-05GYD-s8drZanLAW1Dbs4JppEByuBo5wKtkHzbcQigeYHIlwy3wZ~az6ONak4bwmO2rXdGZSyrgKJobVHjA__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":7710,"name":"Biology","url":"https://www.academia.edu/Documents/in/Biology"},{"id":103260,"name":"Neuroimage","url":"https://www.academia.edu/Documents/in/Neuroimage"},{"id":362036,"name":"White matter","url":"https://www.academia.edu/Documents/in/White_matter"},{"id":497323,"name":"Fractional Anisotropy","url":"https://www.academia.edu/Documents/in/Fractional_Anisotropy"},{"id":2922956,"name":"Psychology and Cognitive Sciences","url":"https://www.academia.edu/Documents/in/Psychology_and_Cognitive_Sciences"},{"id":3763225,"name":"Medical and Health Sciences","url":"https://www.academia.edu/Documents/in/Medical_and_Health_Sciences"}],"urls":[{"id":22185050,"url":"https://syndication.highwire.org/content/doi/10.1101/152546"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="83176901"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/83176901/Chronic_obstructive_pulmonary_disease_and_the_risk_of_cardiovascular_diseases"><img alt="Research paper thumbnail of Chronic obstructive pulmonary disease and the risk of cardiovascular diseases" class="work-thumbnail" src="https://attachments.academia-assets.com/88613502/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/83176901/Chronic_obstructive_pulmonary_disease_and_the_risk_of_cardiovascular_diseases">Chronic obstructive pulmonary disease and the risk of cardiovascular diseases</a></div><div class="wp-workCard_item"><span>European Journal of Epidemiology</span><span>, 2010</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="ba414e7a078eecd56a3620d29885fb6b" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":88613502,"asset_id":83176901,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/88613502/download_file?st=MTczMjc5Mzc2Nyw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="83176901"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="83176901"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 83176901; 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We used the UK-based General Practice Research Database (GPRD) to assess the prevalence and incidence of cardiovascular diseases in COPD patients aged 40-79 between 1995 and 2005, and we randomly matched COPDfree comparison patients to COPD patients. In nested-case control analyses, we compared the risks of developing an incident diagnosis of cardiac arrhythmias, venous thromboembolism, myocardial infarction, or stroke between patients with and without COPD, stratifying the analyses by COPD-severity, using COPD-treatment as proxy for disease severity. We identified 35,772 patients with COPD and the same number of COPD-free patients. Most cardiovascular diseases were more prevalent among COPD patients than among the comparison group of COPD-free patients. The relative risk estimates of developing an incident diagnosis of cardiac arrhythmia (OR 1.19, 95% CI 0.98-1.43), deep vein thrombosis (OR 1.35, 95% CI 0.97-1.89), pulmonary embolism (OR 2.51, 95% CI 1.62-3.87), myocardial infarction (OR 1.40, 95% CI 1.13-1.73), or stroke (OR 1.13, 95% CI 0.92-1.38), tended to be increased for patients with COPD as compared to COPDfree controls. The findings of this large observational study provide further evidence that patients with COPD are at increased risk for most cardiovascular diseases.","publication_date":{"day":null,"month":null,"year":2010,"errors":{}},"publication_name":"European Journal of Epidemiology","grobid_abstract_attachment_id":88613502},"translated_abstract":null,"internal_url":"https://www.academia.edu/83176901/Chronic_obstructive_pulmonary_disease_and_the_risk_of_cardiovascular_diseases","translated_internal_url":"","created_at":"2022-07-14T23:42:54.301-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":316138,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":88613502,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/88613502/thumbnails/1.jpg","file_name":"10654_2010_Article_9435.pdf","download_url":"https://www.academia.edu/attachments/88613502/download_file?st=MTczMjc5Mzc2Nyw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Chronic_obstructive_pulmonary_disease_an.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/88613502/10654_2010_Article_9435-libre.pdf?1657870794=\u0026response-content-disposition=attachment%3B+filename%3DChronic_obstructive_pulmonary_disease_an.pdf\u0026Expires=1732784194\u0026Signature=bcdU-dRjxgrZS13LxhAlsI4pjnP8-h003AkpN8Bpz4MoiNNLHzXE68LVX1s1V1zS1r1X6AtHqekFB2IlkmCLFnPdR-tZM9bVxjAKKEtjyt8eqytWuS570kkdV2eB8y5crF0vj-qNlH0Fwq8ttsNqe6NgEKe65O0CSjYvLb~CsZF~aQ3LsFdcWmVEPG9WQt6CFiEF2rPi0UtWmmlW2JIu8lXea6qwW5cjYefwnvDPKcLT5ImVq42DBmpPYOxI1CvMX2-BxkZ8SKD9i9MSjxJHTx0JK5VS5xxAZSvIwOhN5UMBwLkQiclSJjkDjemap2gGhw-S9Yr1CE0ZzNJ1nV2jXQ__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"Chronic_obstructive_pulmonary_disease_and_the_risk_of_cardiovascular_diseases","translated_slug":"","page_count":8,"language":"en","content_type":"Work","owner":{"id":316138,"first_name":"Nicolas","middle_initials":null,"last_name":"Cherbuin","page_name":"NicolasCherbuin","domain_name":"anu-au","created_at":"2011-01-25T10:53:15.454-08:00","display_name":"Nicolas Cherbuin","url":"https://anu-au.academia.edu/NicolasCherbuin"},"attachments":[{"id":88613502,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/88613502/thumbnails/1.jpg","file_name":"10654_2010_Article_9435.pdf","download_url":"https://www.academia.edu/attachments/88613502/download_file?st=MTczMjc5Mzc2Nyw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Chronic_obstructive_pulmonary_disease_an.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/88613502/10654_2010_Article_9435-libre.pdf?1657870794=\u0026response-content-disposition=attachment%3B+filename%3DChronic_obstructive_pulmonary_disease_an.pdf\u0026Expires=1732784194\u0026Signature=bcdU-dRjxgrZS13LxhAlsI4pjnP8-h003AkpN8Bpz4MoiNNLHzXE68LVX1s1V1zS1r1X6AtHqekFB2IlkmCLFnPdR-tZM9bVxjAKKEtjyt8eqytWuS570kkdV2eB8y5crF0vj-qNlH0Fwq8ttsNqe6NgEKe65O0CSjYvLb~CsZF~aQ3LsFdcWmVEPG9WQt6CFiEF2rPi0UtWmmlW2JIu8lXea6qwW5cjYefwnvDPKcLT5ImVq42DBmpPYOxI1CvMX2-BxkZ8SKD9i9MSjxJHTx0JK5VS5xxAZSvIwOhN5UMBwLkQiclSJjkDjemap2gGhw-S9Yr1CE0ZzNJ1nV2jXQ__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":16664,"name":"Risk assessment","url":"https://www.academia.edu/Documents/in/Risk_assessment"},{"id":26327,"name":"Medicine","url":"https://www.academia.edu/Documents/in/Medicine"},{"id":28973,"name":"Comorbidity","url":"https://www.academia.edu/Documents/in/Comorbidity"},{"id":65341,"name":"COPD","url":"https://www.academia.edu/Documents/in/COPD"},{"id":137516,"name":"Follow-up studies","url":"https://www.academia.edu/Documents/in/Follow-up_studies"},{"id":174502,"name":"Incidence","url":"https://www.academia.edu/Documents/in/Incidence"},{"id":289271,"name":"Aged","url":"https://www.academia.edu/Documents/in/Aged"},{"id":289330,"name":"Prevalence","url":"https://www.academia.edu/Documents/in/Prevalence"},{"id":291274,"name":"Great Britain","url":"https://www.academia.edu/Documents/in/Great_Britain"},{"id":410370,"name":"Public health systems and services research","url":"https://www.academia.edu/Documents/in/Public_health_systems_and_services_research-1"},{"id":559242,"name":"Cardiovascular Diseases","url":"https://www.academia.edu/Documents/in/Cardiovascular_Diseases"},{"id":622589,"name":"Risk Assessment","url":"https://www.academia.edu/Documents/in/Risk_Assessment-2"},{"id":1819399,"name":"Case Control Studies","url":"https://www.academia.edu/Documents/in/Case_Control_Studies"},{"id":4122166,"name":"Pulmonary Disease Chronic Obstructive","url":"https://www.academia.edu/Documents/in/Pulmonary_Disease_Chronic_Obstructive"}],"urls":[{"id":22185049,"url":"http://link.springer.com/content/pdf/10.1007/s10654-010-9435-7.pdf"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="83176900"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/83176900/Mild_cogitive_impairment_in_the_60s"><img alt="Research paper thumbnail of Mild cogitive impairment in the 60s" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/83176900/Mild_cogitive_impairment_in_the_60s">Mild cogitive impairment in the 60s</a></div><div class="wp-workCard_item"><span>Alzheimer's & Dementia</span><span>, 2011</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">memory (verbal and visual-spatial);attention; language; executive; and visual-spatial functions. ...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">memory (verbal and visual-spatial);attention; language; executive; and visual-spatial functions. AdaptedPetersen-Morris Criteria 1⁄4 impairment based on1⁄4 1 measure in a domain&gt; 1.5SDs below normative expectations. Comprehensive Criteria 1⁄4 impairment basedon 1⁄4 2 measures in a domain &gt; 1.0 SD below normative expectations. ConservativeCriteria 1⁄4 impairment based on1⁄4 2 measures in a domain&gt; 1.5 SDs belownormative expectations. Participantswere classified as normal, single-, or multiple-domain MCI. Premorbid general cognitive abilitywas based on the Armed Forces Qualification Test (AFQT) administered at age 20. Results: 44.18% metAdaptedPetersen-Morris Criteria; 20.18% met Comprehensive Criteria; and 11.3% met ConservativeCriteria. Heritability was 0.32for the AdaptedPetersen-Morris, 0.28 for the Comprehensive, and 0.46 for the Conservative Criteria. Phenotypic correlations between MCIand age 20 AFQT were -0.42 to -0.44; the genetic correlation (i.e., degree ofshared genetic influences) was -0.50 for the Adapted Petersen-Morris, -0.57 for theComprehensive,and -0.93 for the Conservative Criteria. Age 20 AFQT was lowest in multiple-domainMCI participants, followed by single-domain MCI, and then cognitively normalparticipants. Current AFQT followed thesame pattern, even after adjusting for age 20 AFQT. Conclusions: Neuropsychologically-definedMCI can be identified even among non-clinically referred adults in their 50s. To our knowledge, this is the first report ofthe heritability of MCI. Thus, it is anappropriate phenotype for genetic association studies. Associations of premorbid cognitive abilitywith MCI suggest that low premorbid ability/cognitive reserve is a risk/protectivefactor. However, genetic correlationsand analyses controlling for premorbid ability also suggest additionalprocesses at work. Ongoing follow-upswill determine the utility of different MCI definitions, and whether heritabilitychanges with age.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="83176900"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="83176900"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 83176900; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=83176900]").text(description); $(".js-view-count[data-work-id=83176900]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 83176900; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='83176900']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 83176900, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=83176900]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":83176900,"title":"Mild cogitive impairment in the 60s","translated_title":"","metadata":{"abstract":"memory (verbal and visual-spatial);attention; language; executive; and visual-spatial functions. AdaptedPetersen-Morris Criteria 1⁄4 impairment based on1⁄4 1 measure in a domain\u0026gt; 1.5SDs below normative expectations. Comprehensive Criteria 1⁄4 impairment basedon 1⁄4 2 measures in a domain \u0026gt; 1.0 SD below normative expectations. ConservativeCriteria 1⁄4 impairment based on1⁄4 2 measures in a domain\u0026gt; 1.5 SDs belownormative expectations. Participantswere classified as normal, single-, or multiple-domain MCI. Premorbid general cognitive abilitywas based on the Armed Forces Qualification Test (AFQT) administered at age 20. Results: 44.18% metAdaptedPetersen-Morris Criteria; 20.18% met Comprehensive Criteria; and 11.3% met ConservativeCriteria. Heritability was 0.32for the AdaptedPetersen-Morris, 0.28 for the Comprehensive, and 0.46 for the Conservative Criteria. Phenotypic correlations between MCIand age 20 AFQT were -0.42 to -0.44; the genetic correlation (i.e., degree ofshared genetic influences) was -0.50 for the Adapted Petersen-Morris, -0.57 for theComprehensive,and -0.93 for the Conservative Criteria. Age 20 AFQT was lowest in multiple-domainMCI participants, followed by single-domain MCI, and then cognitively normalparticipants. Current AFQT followed thesame pattern, even after adjusting for age 20 AFQT. Conclusions: Neuropsychologically-definedMCI can be identified even among non-clinically referred adults in their 50s. To our knowledge, this is the first report ofthe heritability of MCI. Thus, it is anappropriate phenotype for genetic association studies. Associations of premorbid cognitive abilitywith MCI suggest that low premorbid ability/cognitive reserve is a risk/protectivefactor. However, genetic correlationsand analyses controlling for premorbid ability also suggest additionalprocesses at work. Ongoing follow-upswill determine the utility of different MCI definitions, and whether heritabilitychanges with age.","publisher":"Elsevier BV","publication_date":{"day":null,"month":null,"year":2011,"errors":{}},"publication_name":"Alzheimer's \u0026 Dementia"},"translated_abstract":"memory (verbal and visual-spatial);attention; language; executive; and visual-spatial functions. AdaptedPetersen-Morris Criteria 1⁄4 impairment based on1⁄4 1 measure in a domain\u0026gt; 1.5SDs below normative expectations. Comprehensive Criteria 1⁄4 impairment basedon 1⁄4 2 measures in a domain \u0026gt; 1.0 SD below normative expectations. ConservativeCriteria 1⁄4 impairment based on1⁄4 2 measures in a domain\u0026gt; 1.5 SDs belownormative expectations. Participantswere classified as normal, single-, or multiple-domain MCI. Premorbid general cognitive abilitywas based on the Armed Forces Qualification Test (AFQT) administered at age 20. Results: 44.18% metAdaptedPetersen-Morris Criteria; 20.18% met Comprehensive Criteria; and 11.3% met ConservativeCriteria. Heritability was 0.32for the AdaptedPetersen-Morris, 0.28 for the Comprehensive, and 0.46 for the Conservative Criteria. Phenotypic correlations between MCIand age 20 AFQT were -0.42 to -0.44; the genetic correlation (i.e., degree ofshared genetic influences) was -0.50 for the Adapted Petersen-Morris, -0.57 for theComprehensive,and -0.93 for the Conservative Criteria. Age 20 AFQT was lowest in multiple-domainMCI participants, followed by single-domain MCI, and then cognitively normalparticipants. Current AFQT followed thesame pattern, even after adjusting for age 20 AFQT. Conclusions: Neuropsychologically-definedMCI can be identified even among non-clinically referred adults in their 50s. To our knowledge, this is the first report ofthe heritability of MCI. Thus, it is anappropriate phenotype for genetic association studies. Associations of premorbid cognitive abilitywith MCI suggest that low premorbid ability/cognitive reserve is a risk/protectivefactor. However, genetic correlationsand analyses controlling for premorbid ability also suggest additionalprocesses at work. Ongoing follow-upswill determine the utility of different MCI definitions, and whether heritabilitychanges with age.","internal_url":"https://www.academia.edu/83176900/Mild_cogitive_impairment_in_the_60s","translated_internal_url":"","created_at":"2022-07-14T23:42:54.074-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":316138,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[],"slug":"Mild_cogitive_impairment_in_the_60s","translated_slug":"","page_count":null,"language":"en","content_type":"Work","owner":{"id":316138,"first_name":"Nicolas","middle_initials":null,"last_name":"Cherbuin","page_name":"NicolasCherbuin","domain_name":"anu-au","created_at":"2011-01-25T10:53:15.454-08:00","display_name":"Nicolas Cherbuin","url":"https://anu-au.academia.edu/NicolasCherbuin"},"attachments":[],"research_interests":[{"id":26327,"name":"Medicine","url":"https://www.academia.edu/Documents/in/Medicine"},{"id":244814,"name":"Clinical Sciences","url":"https://www.academia.edu/Documents/in/Clinical_Sciences"},{"id":1239755,"name":"Neurosciences","url":"https://www.academia.edu/Documents/in/Neurosciences"}],"urls":[]}, dispatcherData: dispatcherData }); 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="74827845"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/74827845/APOE_%CE%B54_and_the_Influence_of_Sex_Age_Vascular_Risk_Factors_and_Ethnicity_on_Cognitive_Decline"><img alt="Research paper thumbnail of APOE ε4 and the Influence of Sex, Age, Vascular Risk Factors, and Ethnicity on Cognitive Decline" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/74827845/APOE_%CE%B54_and_the_Influence_of_Sex_Age_Vascular_Risk_Factors_and_Ethnicity_on_Cognitive_Decline">APOE ε4 and the Influence of Sex, Age, Vascular Risk Factors, and Ethnicity on Cognitive Decline</a></div><div class="wp-workCard_item"><span>The Journals of Gerontology: Series A</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">We aimed to examine the relationship between Apolipoprotein E ε4 (APOE*4) carriage on cognitive d...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">We aimed to examine the relationship between Apolipoprotein E ε4 (APOE*4) carriage on cognitive decline, and whether these associations were moderated by sex, baseline age, ethnicity, and vascular risk factors. Participants were 19,225 individuals aged 54–103 years from 15 longitudinal cohort studies with a mean follow-up duration ranging between 1.2 and 10.7 years. Two-step individual participant data meta-analysis was used to pool results of study-wise analyses predicting memory and general cognitive decline from carriage of one or two APOE*4 alleles, and moderation of these associations by age, sex, vascular risk factors, and ethnicity. Separate pooled estimates were calculated in both men and women who were younger (ie, 62 years) and older (ie, 80 years) at baseline. Results showed that APOE*4 carriage was related to faster general cognitive decline in women, and faster memory decline in men. A stronger dose-dependent effect was observed in older men, with faster general cogniti...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="74827845"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="74827845"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 74827845; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=74827845]").text(description); $(".js-view-count[data-work-id=74827845]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 74827845; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='74827845']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 74827845, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=74827845]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":74827845,"title":"APOE ε4 and the Influence of Sex, Age, Vascular Risk Factors, and Ethnicity on Cognitive Decline","translated_title":"","metadata":{"abstract":"We aimed to examine the relationship between Apolipoprotein E ε4 (APOE*4) carriage on cognitive decline, and whether these associations were moderated by sex, baseline age, ethnicity, and vascular risk factors. 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="74827843"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/74827843/Mapping_the_Literature_on_Nutritional_Interventions_in_Cognitive_Health_A_Data_Driven_Approach"><img alt="Research paper thumbnail of Mapping the Literature on Nutritional Interventions in Cognitive Health: A Data-Driven Approach" class="work-thumbnail" src="https://attachments.academia-assets.com/82839768/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/74827843/Mapping_the_Literature_on_Nutritional_Interventions_in_Cognitive_Health_A_Data_Driven_Approach">Mapping the Literature on Nutritional Interventions in Cognitive Health: A Data-Driven Approach</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Manual review of the extensive literature covering nutrition-based lifestyle interventions to pro...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Manual review of the extensive literature covering nutrition-based lifestyle interventions to promote healthy cognitive ageing has proved educative, however, data-driven techniques can better account for the large size of the literature (tens of thousands of potentially relevant publications to date) and interdisciplinary nature of where relevant publications may be found. In this study we present a new way to map the literature landscape focusing on nutrition-based lifestyle interventions to promote healthy cognitive ageing. We applied a combination of citation network analysis and text mining to map out the existing literature on nutritional interventions and cognitive health. Results indicated five overarching clusters of publications, which could be further deconstructed into a total of 35 clusters. These could be broadly distinguished by focus on lifespan stages (e.g. infancy versus older age), and specificity regarding nutrition (e.g. narrow focus on iodine deficiency versus b...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="ebb7817a37de622d5efd8f77a27f56e2" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":82839768,"asset_id":74827843,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/82839768/download_file?st=MTczMjc5Mzc2Nyw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="74827843"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="74827843"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 74827843; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=74827843]").text(description); $(".js-view-count[data-work-id=74827843]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 74827843; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='74827843']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 74827843, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "ebb7817a37de622d5efd8f77a27f56e2" } } $('.js-work-strip[data-work-id=74827843]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":74827843,"title":"Mapping the Literature on Nutritional Interventions in Cognitive Health: A Data-Driven Approach","translated_title":"","metadata":{"abstract":"Manual review of the extensive literature covering nutrition-based lifestyle interventions to promote healthy cognitive ageing has proved educative, however, data-driven techniques can better account for the large size of the literature (tens of thousands of potentially relevant publications to date) and interdisciplinary nature of where relevant publications may be found. In this study we present a new way to map the literature landscape focusing on nutrition-based lifestyle interventions to promote healthy cognitive ageing. We applied a combination of citation network analysis and text mining to map out the existing literature on nutritional interventions and cognitive health. Results indicated five overarching clusters of publications, which could be further deconstructed into a total of 35 clusters. These could be broadly distinguished by focus on lifespan stages (e.g. infancy versus older age), and specificity regarding nutrition (e.g. narrow focus on iodine deficiency versus b...","publisher":"MDPI AG"},"translated_abstract":"Manual review of the extensive literature covering nutrition-based lifestyle interventions to promote healthy cognitive ageing has proved educative, however, data-driven techniques can better account for the large size of the literature (tens of thousands of potentially relevant publications to date) and interdisciplinary nature of where relevant publications may be found. In this study we present a new way to map the literature landscape focusing on nutrition-based lifestyle interventions to promote healthy cognitive ageing. We applied a combination of citation network analysis and text mining to map out the existing literature on nutritional interventions and cognitive health. Results indicated five overarching clusters of publications, which could be further deconstructed into a total of 35 clusters. These could be broadly distinguished by focus on lifespan stages (e.g. infancy versus older age), and specificity regarding nutrition (e.g. narrow focus on iodine deficiency versus b...","internal_url":"https://www.academia.edu/74827843/Mapping_the_Literature_on_Nutritional_Interventions_in_Cognitive_Health_A_Data_Driven_Approach","translated_internal_url":"","created_at":"2022-03-28T15:26:03.930-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":316138,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":82839768,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/82839768/thumbnails/1.jpg","file_name":"nutrients-11-00038-v2.pdf","download_url":"https://www.academia.edu/attachments/82839768/download_file?st=MTczMjc5Mzc2Nyw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Mapping_the_Literature_on_Nutritional_In.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/82839768/nutrients-11-00038-v2-libre.pdf?1648506912=\u0026response-content-disposition=attachment%3B+filename%3DMapping_the_Literature_on_Nutritional_In.pdf\u0026Expires=1732784194\u0026Signature=HyO3~2xqTaGSdNvZViY6LilHPrzxFSqoWMNl4m826FHkNCqvIj2F6crSfsDBvg2vrs4R~uCA-jUePXFYemi0B5wXWWHol-eSUTV4PtGlXhJI460ANmULCDstX6IZ6YyyfyOeSKuPCjWJz4sYjgb-6Pe3wMyl~InC5v2422Zf11m3jUCHbXcnY6Meoaqf9SMhfJK4Z93eIqwBa77eB9-wdHFqEmhUwONmrgNt0Z4-Y1gfRLS4dyob6CfNYOmYczPnW9U~MlxmmySEzDBOPmTY3GgxC8Iwxo3RWhVrRwtxsCrkpBZQjWTN1T-2V4fRzZewZL-PCPG3Tn~g3YeDBxHMIQ__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"Mapping_the_Literature_on_Nutritional_Interventions_in_Cognitive_Health_A_Data_Driven_Approach","translated_slug":"","page_count":9,"language":"en","content_type":"Work","owner":{"id":316138,"first_name":"Nicolas","middle_initials":null,"last_name":"Cherbuin","page_name":"NicolasCherbuin","domain_name":"anu-au","created_at":"2011-01-25T10:53:15.454-08:00","display_name":"Nicolas Cherbuin","url":"https://anu-au.academia.edu/NicolasCherbuin"},"attachments":[{"id":82839768,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/82839768/thumbnails/1.jpg","file_name":"nutrients-11-00038-v2.pdf","download_url":"https://www.academia.edu/attachments/82839768/download_file?st=MTczMjc5Mzc2Nyw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Mapping_the_Literature_on_Nutritional_In.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/82839768/nutrients-11-00038-v2-libre.pdf?1648506912=\u0026response-content-disposition=attachment%3B+filename%3DMapping_the_Literature_on_Nutritional_In.pdf\u0026Expires=1732784194\u0026Signature=HyO3~2xqTaGSdNvZViY6LilHPrzxFSqoWMNl4m826FHkNCqvIj2F6crSfsDBvg2vrs4R~uCA-jUePXFYemi0B5wXWWHol-eSUTV4PtGlXhJI460ANmULCDstX6IZ6YyyfyOeSKuPCjWJz4sYjgb-6Pe3wMyl~InC5v2422Zf11m3jUCHbXcnY6Meoaqf9SMhfJK4Z93eIqwBa77eB9-wdHFqEmhUwONmrgNt0Z4-Y1gfRLS4dyob6CfNYOmYczPnW9U~MlxmmySEzDBOPmTY3GgxC8Iwxo3RWhVrRwtxsCrkpBZQjWTN1T-2V4fRzZewZL-PCPG3Tn~g3YeDBxHMIQ__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":221,"name":"Psychology","url":"https://www.academia.edu/Documents/in/Psychology"},{"id":591,"name":"Nutrition and Dietetics","url":"https://www.academia.edu/Documents/in/Nutrition_and_Dietetics"},{"id":26327,"name":"Medicine","url":"https://www.academia.edu/Documents/in/Medicine"},{"id":116278,"name":"Psychological Intervention","url":"https://www.academia.edu/Documents/in/Psychological_Intervention"},{"id":190486,"name":"Nutrients","url":"https://www.academia.edu/Documents/in/Nutrients"}],"urls":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="74827842"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/74827842/A_simple_and_clinically_relevant_combination_of_neuroimaging_and_functional_indexes_for_the_identification_of_those_at_highest_risk_of_Alzheimers_disease"><img alt="Research paper thumbnail of A simple and clinically relevant combination of neuroimaging and functional indexes for the identification of those at highest risk of Alzheimer's disease" class="work-thumbnail" src="https://attachments.academia-assets.com/82839774/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/74827842/A_simple_and_clinically_relevant_combination_of_neuroimaging_and_functional_indexes_for_the_identification_of_those_at_highest_risk_of_Alzheimers_disease">A simple and clinically relevant combination of neuroimaging and functional indexes for the identification of those at highest risk of Alzheimer's disease</a></div><div class="wp-workCard_item"><span>Neurobiology of aging</span><span>, 2018</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">The current challenge in clinical practice is to identify those with mild cognitive impairment (M...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">The current challenge in clinical practice is to identify those with mild cognitive impairment (MCI), who are at greater risk of Alzheimer&#39;s disease (AD) conversion in the near future. The aim of this study was to assess a clinically practical new hippocampal index-hippocampal volume normalized by cerebellar volume (hippocampus to cerebellum volume ratio) used alone or in combination with scores on the Mini-Mental State Examination, as a predictor of conversion from MCI to AD. The predictive value of the HCCR was also contrasted to that of the hippocampal volume to intracranial volume ratio. The findings revealed that the performance of the combination of measures was significantly better than that of each measure used individually. The combination of Mini-Mental State Examination and hippocampal volume, normalized by the cerebellum or by intracranial volume, accurately discriminated individuals with MCI who progress to AD within 5 years from other MCI types (stable, reverters) ...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="40bd38ea6869ee6ea6a0a83a000f7a3a" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":82839774,"asset_id":74827842,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/82839774/download_file?st=MTczMjc5Mzc2Nyw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="74827842"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="74827842"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 74827842; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=74827842]").text(description); $(".js-view-count[data-work-id=74827842]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 74827842; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='74827842']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 74827842, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "40bd38ea6869ee6ea6a0a83a000f7a3a" } } $('.js-work-strip[data-work-id=74827842]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":74827842,"title":"A simple and clinically relevant combination of neuroimaging and functional indexes for the identification of those at highest risk of Alzheimer's disease","translated_title":"","metadata":{"abstract":"The current challenge in clinical practice is to identify those with mild cognitive impairment (MCI), who are at greater risk of Alzheimer\u0026#39;s disease (AD) conversion in the near future. 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The combination of Mini-Mental State Examination and hippocampal volume, normalized by the cerebellum or by intracranial volume, accurately discriminated individuals with MCI who progress to AD within 5 years from other MCI types (stable, reverters) ...","publication_date":{"day":null,"month":null,"year":2018,"errors":{}},"publication_name":"Neurobiology of aging"},"translated_abstract":"The current challenge in clinical practice is to identify those with mild cognitive impairment (MCI), who are at greater risk of Alzheimer\u0026#39;s disease (AD) conversion in the near future. The aim of this study was to assess a clinically practical new hippocampal index-hippocampal volume normalized by cerebellar volume (hippocampus to cerebellum volume ratio) used alone or in combination with scores on the Mini-Mental State Examination, as a predictor of conversion from MCI to AD. The predictive value of the HCCR was also contrasted to that of the hippocampal volume to intracranial volume ratio. The findings revealed that the performance of the combination of measures was significantly better than that of each measure used individually. 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="74827841"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/74827841/General_Practice_Clinical_Data_Help_Identify_Dementia_Hotspots_A_Novel_Geospatial_Analysis_Approach"><img alt="Research paper thumbnail of General Practice Clinical Data Help Identify Dementia Hotspots: A Novel Geospatial Analysis Approach" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/74827841/General_Practice_Clinical_Data_Help_Identify_Dementia_Hotspots_A_Novel_Geospatial_Analysis_Approach">General Practice Clinical Data Help Identify Dementia Hotspots: A Novel Geospatial Analysis Approach</a></div><div class="wp-workCard_item"><span>Journal of Alzheimer's disease : JAD</span><span>, Jan 8, 2017</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">We have a poor understanding of whether dementia clusters geographically, how this occurs, and ho...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">We have a poor understanding of whether dementia clusters geographically, how this occurs, and how dementia may relate to socio-demographic factors. To shed light on these important questions, this study aimed to compute a dementia risk score for individuals to assess spatial variation of dementia risk, identify significant clusters (hotspots), and explore their association with socioeconomic status. We used clinical records from 16 general practices (468 Statistical Area level 1 s, N = 14,746) from the city of west Adelaide, Australia for the duration of 1 January 2012 to 31 December 2014. Dementia risk was estimated using The Australian National University-Alzheimer&#39;s Disease Risk Index. Hotspot analyses were applied to examine potential clusters in dementia risk at small area level. Significant hotspots were observed in eastern and southern areas while coldspots were observed in the western area within the study perimeter. Additionally, significant hotspots were observed in l...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="74827841"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="74827841"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 74827841; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=74827841]").text(description); $(".js-view-count[data-work-id=74827841]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 74827841; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='74827841']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 74827841, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=74827841]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":74827841,"title":"General Practice Clinical Data Help Identify Dementia Hotspots: A Novel Geospatial Analysis Approach","translated_title":"","metadata":{"abstract":"We have a poor understanding of whether dementia clusters geographically, how this occurs, and how dementia may relate to socio-demographic factors. 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Additionally, significant hotspots were observed in l...","publication_date":{"day":8,"month":1,"year":2017,"errors":{}},"publication_name":"Journal of Alzheimer's disease : JAD"},"translated_abstract":"We have a poor understanding of whether dementia clusters geographically, how this occurs, and how dementia may relate to socio-demographic factors. To shed light on these important questions, this study aimed to compute a dementia risk score for individuals to assess spatial variation of dementia risk, identify significant clusters (hotspots), and explore their association with socioeconomic status. We used clinical records from 16 general practices (468 Statistical Area level 1 s, N = 14,746) from the city of west Adelaide, Australia for the duration of 1 January 2012 to 31 December 2014. Dementia risk was estimated using The Australian National University-Alzheimer\u0026#39;s Disease Risk Index. Hotspot analyses were applied to examine potential clusters in dementia risk at small area level. Significant hotspots were observed in eastern and southern areas while coldspots were observed in the western area within the study perimeter. Additionally, significant hotspots were observed in l...","internal_url":"https://www.academia.edu/74827841/General_Practice_Clinical_Data_Help_Identify_Dementia_Hotspots_A_Novel_Geospatial_Analysis_Approach","translated_internal_url":"","created_at":"2022-03-28T15:26:03.618-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":316138,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[],"slug":"General_Practice_Clinical_Data_Help_Identify_Dementia_Hotspots_A_Novel_Geospatial_Analysis_Approach","translated_slug":"","page_count":null,"language":"en","content_type":"Work","owner":{"id":316138,"first_name":"Nicolas","middle_initials":null,"last_name":"Cherbuin","page_name":"NicolasCherbuin","domain_name":"anu-au","created_at":"2011-01-25T10:53:15.454-08:00","display_name":"Nicolas Cherbuin","url":"https://anu-au.academia.edu/NicolasCherbuin"},"attachments":[],"research_interests":[{"id":237,"name":"Cognitive Science","url":"https://www.academia.edu/Documents/in/Cognitive_Science"},{"id":244814,"name":"Clinical Sciences","url":"https://www.academia.edu/Documents/in/Clinical_Sciences"},{"id":1239755,"name":"Neurosciences","url":"https://www.academia.edu/Documents/in/Neurosciences"}],"urls":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="74827840"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/74827840/Tailored_and_Adaptive_Computerized_Cognitive_Training_in_Older_Adults_at_Risk_for_Dementia_A_Randomized_Controlled_Trial"><img alt="Research paper thumbnail of Tailored and Adaptive Computerized Cognitive Training in Older Adults at Risk for Dementia: A Randomized Controlled Trial" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/74827840/Tailored_and_Adaptive_Computerized_Cognitive_Training_in_Older_Adults_at_Risk_for_Dementia_A_Randomized_Controlled_Trial">Tailored and Adaptive Computerized Cognitive Training in Older Adults at Risk for Dementia: A Randomized Controlled Trial</a></div><div class="wp-workCard_item"><span>Journal of Alzheimer's Disease</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Computerized Cognitive Training (CCT) has been shown to improve cognitive function in older adult...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Computerized Cognitive Training (CCT) has been shown to improve cognitive function in older adults with mild cognitive impairment (MCI) or mood-related neuropsychiatric symptoms (MrNPS), but many questions remain unresolved. To evaluate the extent to which CCT benefits older adults with both MCI and MrNPS, and its effects on meta-cognitive and non-cognitive outcomes, as well as establish whether adapting difficulty levels and tailoring to individuals&amp;amp;amp;amp;amp;#39; profile is superior to generic training. Older adults with MCI (n = 9), MrNPS (n = 11), or both (MCI+, n = 25) were randomized into a home-based individually-tailored and adaptive CCT (n = 21) or an active control condition (AC; n = 23) in a double-blind design. Interventions lasted 8-12 weeks and outcomes were assessed after the intervention, and at a 3-month follow-up. Participants in both conditions reported greater satisfaction with their everyday memory following intervention and at follow-up. However, participants in the CCT condition showed greater improvement on composite measures of memory, learning, and global cognition at follow-up. Participants with MrNPS in the CCT condition were also found to have improved mood at 3-month follow-up and reported using fewer memory strategies at the post-intervention and follow-up assessments. There was no evidence that participants with MCI+ were disadvantaged relative to the other diagnostic conditions. Finally, informant-rated caregiver burden declined at follow-up assessment in the CCT condition relative to the AC condition. Home-based CCT with adaptive difficulty and personal tailoring appears superior to more generic CCT in relation to both cognitive and non-cognitive outcomes. Mechanisms of treatment effect and future directions are discussed.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="74827840"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="74827840"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 74827840; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=74827840]").text(description); $(".js-view-count[data-work-id=74827840]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 74827840; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='74827840']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 74827840, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=74827840]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":74827840,"title":"Tailored and Adaptive Computerized Cognitive Training in Older Adults at Risk for Dementia: A Randomized Controlled Trial","translated_title":"","metadata":{"abstract":"Computerized Cognitive Training (CCT) has been shown to improve cognitive function in older adults with mild cognitive impairment (MCI) or mood-related neuropsychiatric symptoms (MrNPS), but many questions remain unresolved. To evaluate the extent to which CCT benefits older adults with both MCI and MrNPS, and its effects on meta-cognitive and non-cognitive outcomes, as well as establish whether adapting difficulty levels and tailoring to individuals\u0026amp;amp;amp;amp;amp;#39; profile is superior to generic training. Older adults with MCI (n = 9), MrNPS (n = 11), or both (MCI+, n = 25) were randomized into a home-based individually-tailored and adaptive CCT (n = 21) or an active control condition (AC; n = 23) in a double-blind design. Interventions lasted 8-12 weeks and outcomes were assessed after the intervention, and at a 3-month follow-up. Participants in both conditions reported greater satisfaction with their everyday memory following intervention and at follow-up. However, participants in the CCT condition showed greater improvement on composite measures of memory, learning, and global cognition at follow-up. Participants with MrNPS in the CCT condition were also found to have improved mood at 3-month follow-up and reported using fewer memory strategies at the post-intervention and follow-up assessments. There was no evidence that participants with MCI+ were disadvantaged relative to the other diagnostic conditions. Finally, informant-rated caregiver burden declined at follow-up assessment in the CCT condition relative to the AC condition. Home-based CCT with adaptive difficulty and personal tailoring appears superior to more generic CCT in relation to both cognitive and non-cognitive outcomes. Mechanisms of treatment effect and future directions are discussed.","publisher":"IOS Press","publication_name":"Journal of Alzheimer's Disease"},"translated_abstract":"Computerized Cognitive Training (CCT) has been shown to improve cognitive function in older adults with mild cognitive impairment (MCI) or mood-related neuropsychiatric symptoms (MrNPS), but many questions remain unresolved. To evaluate the extent to which CCT benefits older adults with both MCI and MrNPS, and its effects on meta-cognitive and non-cognitive outcomes, as well as establish whether adapting difficulty levels and tailoring to individuals\u0026amp;amp;amp;amp;amp;#39; profile is superior to generic training. Older adults with MCI (n = 9), MrNPS (n = 11), or both (MCI+, n = 25) were randomized into a home-based individually-tailored and adaptive CCT (n = 21) or an active control condition (AC; n = 23) in a double-blind design. Interventions lasted 8-12 weeks and outcomes were assessed after the intervention, and at a 3-month follow-up. Participants in both conditions reported greater satisfaction with their everyday memory following intervention and at follow-up. However, participants in the CCT condition showed greater improvement on composite measures of memory, learning, and global cognition at follow-up. Participants with MrNPS in the CCT condition were also found to have improved mood at 3-month follow-up and reported using fewer memory strategies at the post-intervention and follow-up assessments. There was no evidence that participants with MCI+ were disadvantaged relative to the other diagnostic conditions. Finally, informant-rated caregiver burden declined at follow-up assessment in the CCT condition relative to the AC condition. Home-based CCT with adaptive difficulty and personal tailoring appears superior to more generic CCT in relation to both cognitive and non-cognitive outcomes. Mechanisms of treatment effect and future directions are discussed.","internal_url":"https://www.academia.edu/74827840/Tailored_and_Adaptive_Computerized_Cognitive_Training_in_Older_Adults_at_Risk_for_Dementia_A_Randomized_Controlled_Trial","translated_internal_url":"","created_at":"2022-03-28T15:26:03.472-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":316138,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[],"slug":"Tailored_and_Adaptive_Computerized_Cognitive_Training_in_Older_Adults_at_Risk_for_Dementia_A_Randomized_Controlled_Trial","translated_slug":"","page_count":null,"language":"en","content_type":"Work","owner":{"id":316138,"first_name":"Nicolas","middle_initials":null,"last_name":"Cherbuin","page_name":"NicolasCherbuin","domain_name":"anu-au","created_at":"2011-01-25T10:53:15.454-08:00","display_name":"Nicolas Cherbuin","url":"https://anu-au.academia.edu/NicolasCherbuin"},"attachments":[],"research_interests":[{"id":237,"name":"Cognitive Science","url":"https://www.academia.edu/Documents/in/Cognitive_Science"},{"id":244814,"name":"Clinical Sciences","url":"https://www.academia.edu/Documents/in/Clinical_Sciences"},{"id":1239755,"name":"Neurosciences","url":"https://www.academia.edu/Documents/in/Neurosciences"}],"urls":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="74827839"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/74827839/Personality_and_Total_Health_Through_Life_Project_Eye_Substudy_Methodology_and_Baseline_Retinal_Features"><img alt="Research paper thumbnail of Personality and Total Health Through Life Project Eye Substudy: Methodology and Baseline Retinal Features" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/74827839/Personality_and_Total_Health_Through_Life_Project_Eye_Substudy_Methodology_and_Baseline_Retinal_Features">Personality and Total Health Through Life Project Eye Substudy: Methodology and Baseline Retinal Features</a></div><div class="wp-workCard_item"><span>Asia-Pacific journal of ophthalmology (Philadelphia, Pa.)</span><span>, Jan 27, 2017</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">To describe the methodology and present the retinal grading findings of an older sample of Austra...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">To describe the methodology and present the retinal grading findings of an older sample of Australians with well-defined indices of neurocognitive function in the Personality and Total Health (PATH) Through Life project. A cross-sectional study. Three hundred twenty-six individuals from the PATH Through Life project were invited to participate. Participants completed a general questionnaire and 2-field, 45-degree nonmydriatic color digital retinal photography. Photographs were graded for retinal pathology according to established protocols. Two hundred fifty-four (77.9%) subjects, aged 72 to 78 years, agreed to participate in the eye substudy. Gradable images of at least 1 eye were acquired in 211 of 254 subjects (83.1%). Retinal photographic screening identified 1 or more signs of pathology in 130 of the 174 subjects (74.7%) with gradable images of both eyes. A total of 45 participants (17.7%) had self-reported diabetes and diabetic retinopathy was observed in 22 (48.9%) of these p...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="74827839"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="74827839"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 74827839; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=74827839]").text(description); $(".js-view-count[data-work-id=74827839]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 74827839; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='74827839']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 74827839, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=74827839]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":74827839,"title":"Personality and Total Health Through Life Project Eye Substudy: Methodology and Baseline Retinal Features","translated_title":"","metadata":{"abstract":"To describe the methodology and present the retinal grading findings of an older sample of Australians with well-defined indices of neurocognitive function in the Personality and Total Health (PATH) Through Life project. A cross-sectional study. Three hundred twenty-six individuals from the PATH Through Life project were invited to participate. Participants completed a general questionnaire and 2-field, 45-degree nonmydriatic color digital retinal photography. Photographs were graded for retinal pathology according to established protocols. Two hundred fifty-four (77.9%) subjects, aged 72 to 78 years, agreed to participate in the eye substudy. Gradable images of at least 1 eye were acquired in 211 of 254 subjects (83.1%). Retinal photographic screening identified 1 or more signs of pathology in 130 of the 174 subjects (74.7%) with gradable images of both eyes. A total of 45 participants (17.7%) had self-reported diabetes and diabetic retinopathy was observed in 22 (48.9%) of these p...","publication_date":{"day":27,"month":1,"year":2017,"errors":{}},"publication_name":"Asia-Pacific journal of ophthalmology (Philadelphia, Pa.)"},"translated_abstract":"To describe the methodology and present the retinal grading findings of an older sample of Australians with well-defined indices of neurocognitive function in the Personality and Total Health (PATH) Through Life project. A cross-sectional study. Three hundred twenty-six individuals from the PATH Through Life project were invited to participate. Participants completed a general questionnaire and 2-field, 45-degree nonmydriatic color digital retinal photography. Photographs were graded for retinal pathology according to established protocols. Two hundred fifty-four (77.9%) subjects, aged 72 to 78 years, agreed to participate in the eye substudy. Gradable images of at least 1 eye were acquired in 211 of 254 subjects (83.1%). Retinal photographic screening identified 1 or more signs of pathology in 130 of the 174 subjects (74.7%) with gradable images of both eyes. A total of 45 participants (17.7%) had self-reported diabetes and diabetic retinopathy was observed in 22 (48.9%) of these p...","internal_url":"https://www.academia.edu/74827839/Personality_and_Total_Health_Through_Life_Project_Eye_Substudy_Methodology_and_Baseline_Retinal_Features","translated_internal_url":"","created_at":"2022-03-28T15:26:03.314-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":316138,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[],"slug":"Personality_and_Total_Health_Through_Life_Project_Eye_Substudy_Methodology_and_Baseline_Retinal_Features","translated_slug":"","page_count":null,"language":"en","content_type":"Work","owner":{"id":316138,"first_name":"Nicolas","middle_initials":null,"last_name":"Cherbuin","page_name":"NicolasCherbuin","domain_name":"anu-au","created_at":"2011-01-25T10:53:15.454-08:00","display_name":"Nicolas Cherbuin","url":"https://anu-au.academia.edu/NicolasCherbuin"},"attachments":[],"research_interests":[{"id":2672,"name":"Personality","url":"https://www.academia.edu/Documents/in/Personality"},{"id":4212,"name":"Cognition","url":"https://www.academia.edu/Documents/in/Cognition"},{"id":6697,"name":"Australia","url":"https://www.academia.edu/Documents/in/Australia"},{"id":26327,"name":"Medicine","url":"https://www.academia.edu/Documents/in/Medicine"},{"id":117200,"name":"Retina","url":"https://www.academia.edu/Documents/in/Retina"},{"id":232534,"name":"Health Status","url":"https://www.academia.edu/Documents/in/Health_Status"},{"id":289271,"name":"Aged","url":"https://www.academia.edu/Documents/in/Aged"},{"id":990525,"name":"Retinal Diseases","url":"https://www.academia.edu/Documents/in/Retinal_Diseases"},{"id":1034181,"name":"Cross Sectional Studies","url":"https://www.academia.edu/Documents/in/Cross_Sectional_Studies"}],"urls":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="74827838"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/74827838/Cancer_and_Cognitive_Function_The_PATH_Through_Life_Project"><img alt="Research paper thumbnail of Cancer and Cognitive Function: The PATH Through Life Project" class="work-thumbnail" src="https://attachments.academia-assets.com/82839773/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/74827838/Cancer_and_Cognitive_Function_The_PATH_Through_Life_Project">Cancer and Cognitive Function: The PATH Through Life Project</a></div><div class="wp-workCard_item"><span>The journals of gerontology. Series A, Biological sciences and medical sciences</span><span>, Jan 4, 2017</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">A limited number of studies have shown that cancer diagnosis plays a protective role in Alzheimer...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">A limited number of studies have shown that cancer diagnosis plays a protective role in Alzheimer&#39;s disease. However, the effect of the cancer diagnosis on general cognitive function/cognitive decline has not been previously examined. The aim of this study was to investigate the relationship between cancer diagnosis and cognitive function and mild cognitive impairment/disorders (MCI/MCD), adjusting for cancer treatments. These data were drawn from the Personality and Total Health (PATH) Through Life Study, a population-based Australian cohort study. A total of 2,547 participants (age range 60-66 years; 48.4% women) who answered cancer-related questions were included in analyses. Random effects linear and logistic models were used to analyze 8-year follow-up data. Participants who were diagnosed with cancer at or prior to baseline (n = 166) had higher levels of physical conditions and depression compared with those who received cancer diagnoses during follow-ups (n = 346) and tho...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="0e337e477866c8c2fdb9c43b391cb607" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":82839773,"asset_id":74827838,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/82839773/download_file?st=MTczMjc5Mzc2Nyw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="74827838"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="74827838"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 74827838; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=74827838]").text(description); $(".js-view-count[data-work-id=74827838]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 74827838; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='74827838']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 74827838, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "0e337e477866c8c2fdb9c43b391cb607" } } $('.js-work-strip[data-work-id=74827838]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":74827838,"title":"Cancer and Cognitive Function: The PATH Through Life Project","translated_title":"","metadata":{"abstract":"A limited number of studies have shown that cancer diagnosis plays a protective role in Alzheimer\u0026#39;s disease. However, the effect of the cancer diagnosis on general cognitive function/cognitive decline has not been previously examined. The aim of this study was to investigate the relationship between cancer diagnosis and cognitive function and mild cognitive impairment/disorders (MCI/MCD), adjusting for cancer treatments. These data were drawn from the Personality and Total Health (PATH) Through Life Study, a population-based Australian cohort study. A total of 2,547 participants (age range 60-66 years; 48.4% women) who answered cancer-related questions were included in analyses. Random effects linear and logistic models were used to analyze 8-year follow-up data. Participants who were diagnosed with cancer at or prior to baseline (n = 166) had higher levels of physical conditions and depression compared with those who received cancer diagnoses during follow-ups (n = 346) and tho...","publication_date":{"day":4,"month":1,"year":2017,"errors":{}},"publication_name":"The journals of gerontology. Series A, Biological sciences and medical sciences"},"translated_abstract":"A limited number of studies have shown that cancer diagnosis plays a protective role in Alzheimer\u0026#39;s disease. However, the effect of the cancer diagnosis on general cognitive function/cognitive decline has not been previously examined. The aim of this study was to investigate the relationship between cancer diagnosis and cognitive function and mild cognitive impairment/disorders (MCI/MCD), adjusting for cancer treatments. These data were drawn from the Personality and Total Health (PATH) Through Life Study, a population-based Australian cohort study. A total of 2,547 participants (age range 60-66 years; 48.4% women) who answered cancer-related questions were included in analyses. Random effects linear and logistic models were used to analyze 8-year follow-up data. Participants who were diagnosed with cancer at or prior to baseline (n = 166) had higher levels of physical conditions and depression compared with those who received cancer diagnoses during follow-ups (n = 346) and tho...","internal_url":"https://www.academia.edu/74827838/Cancer_and_Cognitive_Function_The_PATH_Through_Life_Project","translated_internal_url":"","created_at":"2022-03-28T15:26:03.166-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":316138,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":82839773,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/82839773/thumbnails/1.jpg","file_name":"25867775.pdf","download_url":"https://www.academia.edu/attachments/82839773/download_file?st=MTczMjc5Mzc2Nyw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Cancer_and_Cognitive_Function_The_PATH_T.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/82839773/25867775-libre.pdf?1648506913=\u0026response-content-disposition=attachment%3B+filename%3DCancer_and_Cognitive_Function_The_PATH_T.pdf\u0026Expires=1732784194\u0026Signature=C2FA9iSjbePWhDJgTpRhVitVhZudNRUnSn7MXMsjN77utAUyEXOzGmjMrfxE2vKSGNGyfu-PF3dWsi9Y1Y-R4kz6ldHX1rFc0FeYz6oy4TFn6N7Qy0l~PwE1GWsgnhlnCZ2i3kHxgjM1molmCOYsqLESzfe3WfkSV4uEX0-6sOi6Wn~3wGbBH8SanAXh~miy9l~yoclOpEkhy~upLEnsGoHpmzHLT7FKQMj4C9yYiPRCGB60B~8nU5X7JLnhtegaB8NcF5Zf29cV9vfT9EG7WkP9HtfH9qjMgW~gxy9qfMaUPcE2q~0xNhYTXADYGGfkJSG4fh1WXiKMhHHfu7Yf5A__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"Cancer_and_Cognitive_Function_The_PATH_Through_Life_Project","translated_slug":"","page_count":5,"language":"en","content_type":"Work","owner":{"id":316138,"first_name":"Nicolas","middle_initials":null,"last_name":"Cherbuin","page_name":"NicolasCherbuin","domain_name":"anu-au","created_at":"2011-01-25T10:53:15.454-08:00","display_name":"Nicolas Cherbuin","url":"https://anu-au.academia.edu/NicolasCherbuin"},"attachments":[{"id":82839773,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/82839773/thumbnails/1.jpg","file_name":"25867775.pdf","download_url":"https://www.academia.edu/attachments/82839773/download_file?st=MTczMjc5Mzc2Nyw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Cancer_and_Cognitive_Function_The_PATH_T.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/82839773/25867775-libre.pdf?1648506913=\u0026response-content-disposition=attachment%3B+filename%3DCancer_and_Cognitive_Function_The_PATH_T.pdf\u0026Expires=1732784194\u0026Signature=C2FA9iSjbePWhDJgTpRhVitVhZudNRUnSn7MXMsjN77utAUyEXOzGmjMrfxE2vKSGNGyfu-PF3dWsi9Y1Y-R4kz6ldHX1rFc0FeYz6oy4TFn6N7Qy0l~PwE1GWsgnhlnCZ2i3kHxgjM1molmCOYsqLESzfe3WfkSV4uEX0-6sOi6Wn~3wGbBH8SanAXh~miy9l~yoclOpEkhy~upLEnsGoHpmzHLT7FKQMj4C9yYiPRCGB60B~8nU5X7JLnhtegaB8NcF5Zf29cV9vfT9EG7WkP9HtfH9qjMgW~gxy9qfMaUPcE2q~0xNhYTXADYGGfkJSG4fh1WXiKMhHHfu7Yf5A__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":6697,"name":"Australia","url":"https://www.academia.edu/Documents/in/Australia"},{"id":244814,"name":"Clinical Sciences","url":"https://www.academia.edu/Documents/in/Clinical_Sciences"},{"id":289271,"name":"Aged","url":"https://www.academia.edu/Documents/in/Aged"},{"id":330953,"name":"Longitudinal Studies","url":"https://www.academia.edu/Documents/in/Longitudinal_Studies"},{"id":469018,"name":"Neoplasms","url":"https://www.academia.edu/Documents/in/Neoplasms"},{"id":2467548,"name":"Neuropsychological Tests","url":"https://www.academia.edu/Documents/in/Neuropsychological_Tests"},{"id":2807004,"name":"Cognitive dysfunction","url":"https://www.academia.edu/Documents/in/Cognitive_dysfunction"}],"urls":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="74827836"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/74827836/Increasing_Body_Mass_Index_at_Midlife_is_Associated_with_Increased_Cortical_Thinning_in_Alzheimers_Disease_Vulnerable_Regions"><img alt="Research paper thumbnail of Increasing Body Mass Index at Midlife is Associated with Increased Cortical Thinning in Alzheimer's Disease-Vulnerable Regions" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/74827836/Increasing_Body_Mass_Index_at_Midlife_is_Associated_with_Increased_Cortical_Thinning_in_Alzheimers_Disease_Vulnerable_Regions">Increasing Body Mass Index at Midlife is Associated with Increased Cortical Thinning in Alzheimer's Disease-Vulnerable Regions</a></div><div class="wp-workCard_item"><span>Journal of Alzheimer's disease : JAD</span><span>, Jan 26, 2017</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Higher body mass index (BMI) at midlife is associated with greater decreases in cognitive functio...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Higher body mass index (BMI) at midlife is associated with greater decreases in cognitive function at older age as well as increased Alzheimer&#39;s disease (AD) risk, compared to those with normal BMI. Here, we tested whether BMI at midlife was associated with cortical thinning in brain regions known to be affected in early AD. We examined a large sample (n = 404) of midlife individuals (44-49 years) from the PATH population-based study. Individuals were scanned with magnetic resonance imaging (1.5T) on up to three occasions over eight years. Change in cortical thickness was modeled as a linear function of BMI and change in BMI longitudinally. Being obese was associated with thinner right frontal cortex at baseline (44-49 years). Across all individuals, increasing BMI over the 8-year study period was associated with increased cortical thinning in posterior cingulate bilaterally, as well as right lingual gyrus, anterior cingulate, and the peri-calcarine sulcus. Accelerated age-relat...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="74827836"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="74827836"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 74827836; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=74827836]").text(description); $(".js-view-count[data-work-id=74827836]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 74827836; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='74827836']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 74827836, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=74827836]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":74827836,"title":"Increasing Body Mass Index at Midlife is Associated with Increased Cortical Thinning in Alzheimer's Disease-Vulnerable Regions","translated_title":"","metadata":{"abstract":"Higher body mass index (BMI) at midlife is associated with greater decreases in cognitive function at older age as well as increased Alzheimer\u0026#39;s disease (AD) risk, compared to those with normal BMI. Here, we tested whether BMI at midlife was associated with cortical thinning in brain regions known to be affected in early AD. We examined a large sample (n = 404) of midlife individuals (44-49 years) from the PATH population-based study. Individuals were scanned with magnetic resonance imaging (1.5T) on up to three occasions over eight years. Change in cortical thickness was modeled as a linear function of BMI and change in BMI longitudinally. Being obese was associated with thinner right frontal cortex at baseline (44-49 years). Across all individuals, increasing BMI over the 8-year study period was associated with increased cortical thinning in posterior cingulate bilaterally, as well as right lingual gyrus, anterior cingulate, and the peri-calcarine sulcus. Accelerated age-relat...","publication_date":{"day":26,"month":1,"year":2017,"errors":{}},"publication_name":"Journal of Alzheimer's disease : JAD"},"translated_abstract":"Higher body mass index (BMI) at midlife is associated with greater decreases in cognitive function at older age as well as increased Alzheimer\u0026#39;s disease (AD) risk, compared to those with normal BMI. Here, we tested whether BMI at midlife was associated with cortical thinning in brain regions known to be affected in early AD. We examined a large sample (n = 404) of midlife individuals (44-49 years) from the PATH population-based study. Individuals were scanned with magnetic resonance imaging (1.5T) on up to three occasions over eight years. Change in cortical thickness was modeled as a linear function of BMI and change in BMI longitudinally. Being obese was associated with thinner right frontal cortex at baseline (44-49 years). Across all individuals, increasing BMI over the 8-year study period was associated with increased cortical thinning in posterior cingulate bilaterally, as well as right lingual gyrus, anterior cingulate, and the peri-calcarine sulcus. Accelerated age-relat...","internal_url":"https://www.academia.edu/74827836/Increasing_Body_Mass_Index_at_Midlife_is_Associated_with_Increased_Cortical_Thinning_in_Alzheimers_Disease_Vulnerable_Regions","translated_internal_url":"","created_at":"2022-03-28T15:26:03.019-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":316138,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[],"slug":"Increasing_Body_Mass_Index_at_Midlife_is_Associated_with_Increased_Cortical_Thinning_in_Alzheimers_Disease_Vulnerable_Regions","translated_slug":"","page_count":null,"language":"en","content_type":"Work","owner":{"id":316138,"first_name":"Nicolas","middle_initials":null,"last_name":"Cherbuin","page_name":"NicolasCherbuin","domain_name":"anu-au","created_at":"2011-01-25T10:53:15.454-08:00","display_name":"Nicolas Cherbuin","url":"https://anu-au.academia.edu/NicolasCherbuin"},"attachments":[],"research_interests":[{"id":237,"name":"Cognitive Science","url":"https://www.academia.edu/Documents/in/Cognitive_Science"},{"id":26327,"name":"Medicine","url":"https://www.academia.edu/Documents/in/Medicine"},{"id":152666,"name":"iOS","url":"https://www.academia.edu/Documents/in/iOS"},{"id":244814,"name":"Clinical Sciences","url":"https://www.academia.edu/Documents/in/Clinical_Sciences"},{"id":1239755,"name":"Neurosciences","url":"https://www.academia.edu/Documents/in/Neurosciences"}],"urls":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="74827834"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/74827834/Promising_Links_between_Meditation_and_Reduced_Brain_Aging_An_Attempt_to_Bridge_Some_Gaps_between_the_Alleged_Fountain_of_Youth_and_the_Youth_of_the_Field"><img alt="Research paper thumbnail of Promising Links between Meditation and Reduced (Brain) Aging: An Attempt to Bridge Some Gaps between the Alleged Fountain of Youth and the Youth of the Field" class="work-thumbnail" src="https://attachments.academia-assets.com/82839770/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/74827834/Promising_Links_between_Meditation_and_Reduced_Brain_Aging_An_Attempt_to_Bridge_Some_Gaps_between_the_Alleged_Fountain_of_Youth_and_the_Youth_of_the_Field">Promising Links between Meditation and Reduced (Brain) Aging: An Attempt to Bridge Some Gaps between the Alleged Fountain of Youth and the Youth of the Field</a></div><div class="wp-workCard_item"><span>Frontiers in psychology</span><span>, 2017</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Over the last decade, an increasing number of studies has reported a positive impact of meditatio...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Over the last decade, an increasing number of studies has reported a positive impact of meditation on cerebral aging. However, the underlying mechanisms for these seemingly brain-protecting effects are not well-understood. This may be due to the fact, at least partly, that systematic empirical meditation research has emerged only recently as a field of scientific scrutiny. Thus, on the one hand, critical questions remain largely unanswered; and on the other hand, outcomes of existing research require better integration to build a more comprehensive and holistic picture. In this article, we first review theories and mechanisms pertaining to normal (brain) aging, specifically focusing on telomeres, inflammation, stress regulation, and macroscopic brain anatomy. Then, we summarize existing research integrating the developing evidence suggesting that meditation exerts positive effects on (brain) aging, while carefully discussing possible mechanisms through which these effects may be med...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="4725b2e5109a477c2ea74b33e4ef6d7f" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":82839770,"asset_id":74827834,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/82839770/download_file?st=MTczMjc5Mzc2Nyw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="74827834"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="74827834"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 74827834; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=74827834]").text(description); $(".js-view-count[data-work-id=74827834]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 74827834; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='74827834']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 74827834, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "4725b2e5109a477c2ea74b33e4ef6d7f" } } $('.js-work-strip[data-work-id=74827834]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":74827834,"title":"Promising Links between Meditation and Reduced (Brain) Aging: An Attempt to Bridge Some Gaps between the Alleged Fountain of Youth and the Youth of the Field","translated_title":"","metadata":{"abstract":"Over the last decade, an increasing number of studies has reported a positive impact of meditation on cerebral aging. However, the underlying mechanisms for these seemingly brain-protecting effects are not well-understood. This may be due to the fact, at least partly, that systematic empirical meditation research has emerged only recently as a field of scientific scrutiny. Thus, on the one hand, critical questions remain largely unanswered; and on the other hand, outcomes of existing research require better integration to build a more comprehensive and holistic picture. In this article, we first review theories and mechanisms pertaining to normal (brain) aging, specifically focusing on telomeres, inflammation, stress regulation, and macroscopic brain anatomy. Then, we summarize existing research integrating the developing evidence suggesting that meditation exerts positive effects on (brain) aging, while carefully discussing possible mechanisms through which these effects may be med...","publication_date":{"day":null,"month":null,"year":2017,"errors":{}},"publication_name":"Frontiers in psychology"},"translated_abstract":"Over the last decade, an increasing number of studies has reported a positive impact of meditation on cerebral aging. However, the underlying mechanisms for these seemingly brain-protecting effects are not well-understood. This may be due to the fact, at least partly, that systematic empirical meditation research has emerged only recently as a field of scientific scrutiny. Thus, on the one hand, critical questions remain largely unanswered; and on the other hand, outcomes of existing research require better integration to build a more comprehensive and holistic picture. In this article, we first review theories and mechanisms pertaining to normal (brain) aging, specifically focusing on telomeres, inflammation, stress regulation, and macroscopic brain anatomy. Then, we summarize existing research integrating the developing evidence suggesting that meditation exerts positive effects on (brain) aging, while carefully discussing possible mechanisms through which these effects may be med...","internal_url":"https://www.academia.edu/74827834/Promising_Links_between_Meditation_and_Reduced_Brain_Aging_An_Attempt_to_Bridge_Some_Gaps_between_the_Alleged_Fountain_of_Youth_and_the_Youth_of_the_Field","translated_internal_url":"","created_at":"2022-03-28T15:26:02.877-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":316138,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":82839770,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/82839770/thumbnails/1.jpg","file_name":"9cba927f923c253bb011bd16c73cacafa627.pdf","download_url":"https://www.academia.edu/attachments/82839770/download_file?st=MTczMjc5Mzc2Nyw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Promising_Links_between_Meditation_and_R.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/82839770/9cba927f923c253bb011bd16c73cacafa627-libre.pdf?1648506912=\u0026response-content-disposition=attachment%3B+filename%3DPromising_Links_between_Meditation_and_R.pdf\u0026Expires=1732784194\u0026Signature=YEkUNQ3K4pBN2nZ2KDYSZiov8GLNQ33Ev9actondZpHBYKwDtxQolAv8wddXzMyH4uSfq7Qj3hWgaLJvQGDC7Shkybr6KFZiZVGpXKJxZyYUQRkZzt6XRLEsKsrWsf63-4BrKr8844OmhswvenRrKWjZtBe27C4PEW6q5lB49L4gFwBoE9x2d0bqNbRU2hekq~wz23oGAB4sXNYxjynphUyhP4zQ609RkyX7N2a0muWY0SmOZcmgduU7XGVipJ65kEth-vddK4uneWJfaAN1b1KYIyuKXF88EihvEY3fWFFRv6ezKu-7daX4qSJHf6Rcb2cbFHyWW3~4OY3UcZWHWA__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"Promising_Links_between_Meditation_and_Reduced_Brain_Aging_An_Attempt_to_Bridge_Some_Gaps_between_the_Alleged_Fountain_of_Youth_and_the_Youth_of_the_Field","translated_slug":"","page_count":8,"language":"en","content_type":"Work","owner":{"id":316138,"first_name":"Nicolas","middle_initials":null,"last_name":"Cherbuin","page_name":"NicolasCherbuin","domain_name":"anu-au","created_at":"2011-01-25T10:53:15.454-08:00","display_name":"Nicolas Cherbuin","url":"https://anu-au.academia.edu/NicolasCherbuin"},"attachments":[{"id":82839770,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/82839770/thumbnails/1.jpg","file_name":"9cba927f923c253bb011bd16c73cacafa627.pdf","download_url":"https://www.academia.edu/attachments/82839770/download_file?st=MTczMjc5Mzc2Nyw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Promising_Links_between_Meditation_and_R.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/82839770/9cba927f923c253bb011bd16c73cacafa627-libre.pdf?1648506912=\u0026response-content-disposition=attachment%3B+filename%3DPromising_Links_between_Meditation_and_R.pdf\u0026Expires=1732784194\u0026Signature=YEkUNQ3K4pBN2nZ2KDYSZiov8GLNQ33Ev9actondZpHBYKwDtxQolAv8wddXzMyH4uSfq7Qj3hWgaLJvQGDC7Shkybr6KFZiZVGpXKJxZyYUQRkZzt6XRLEsKsrWsf63-4BrKr8844OmhswvenRrKWjZtBe27C4PEW6q5lB49L4gFwBoE9x2d0bqNbRU2hekq~wz23oGAB4sXNYxjynphUyhP4zQ609RkyX7N2a0muWY0SmOZcmgduU7XGVipJ65kEth-vddK4uneWJfaAN1b1KYIyuKXF88EihvEY3fWFFRv6ezKu-7daX4qSJHf6Rcb2cbFHyWW3~4OY3UcZWHWA__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":221,"name":"Psychology","url":"https://www.academia.edu/Documents/in/Psychology"}],"urls":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="74827833"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/74827833/The_association_between_Western_and_Prudent_dietary_patterns_and_fasting_blood_glucose_levels_in_type_2_diabetes_and_normal_glucose_metabolism_in_older_Australian_adults"><img alt="Research paper thumbnail of The association between Western and Prudent dietary patterns and fasting blood glucose levels in type 2 diabetes and normal glucose metabolism in older Australian adults" class="work-thumbnail" src="https://attachments.academia-assets.com/82839771/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/74827833/The_association_between_Western_and_Prudent_dietary_patterns_and_fasting_blood_glucose_levels_in_type_2_diabetes_and_normal_glucose_metabolism_in_older_Australian_adults">The association between Western and Prudent dietary patterns and fasting blood glucose levels in type 2 diabetes and normal glucose metabolism in older Australian adults</a></div><div class="wp-workCard_item"><span>Heliyon</span><span>, 2017</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">High blood glucose and type 2 diabetes are associated with a range of adverse health and cognitiv...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">High blood glucose and type 2 diabetes are associated with a range of adverse health and cognitive outcomes. One factor that contributes to high blood glucose and type 2 diabetes is dietary intake. This study investigated the relationship between dietary patterns, fasting blood glucose and diabetes status in a sample of 209 participants aged 60-65. Blood plasma glucose was measured from venous blood samples. Individual Prudent and Western dietary patterns were estimated from a self-completed food frequency questionnaire. The relationship between dietary patterns, diabetes, and blood glucose was assessed via general linear model analyses controlling for age, sex, height, and total caloric intake. Results indicated that there was no association between Prudent diet and fasting blood glucose levels, or type 2 diabetes. In contrast, an individual in the upper tertile for Western dietary score had a significantly higher risk of having diabetes than an individual in the lower tertile for ...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="b9d30bb07f85748e5dcb179261830174" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":82839771,"asset_id":74827833,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/82839771/download_file?st=MTczMjc5Mzc2Nyw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="74827833"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="74827833"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 74827833; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=74827833]").text(description); $(".js-view-count[data-work-id=74827833]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 74827833; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='74827833']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 74827833, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "b9d30bb07f85748e5dcb179261830174" } } $('.js-work-strip[data-work-id=74827833]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":74827833,"title":"The association between Western and Prudent dietary patterns and fasting blood glucose levels in type 2 diabetes and normal glucose metabolism in older Australian adults","translated_title":"","metadata":{"abstract":"High blood glucose and type 2 diabetes are associated with a range of adverse health and cognitive outcomes. 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In contrast, an individual in the upper tertile for Western dietary score had a significantly higher risk of having diabetes than an individual in the lower tertile for ...","publication_date":{"day":null,"month":null,"year":2017,"errors":{}},"publication_name":"Heliyon"},"translated_abstract":"High blood glucose and type 2 diabetes are associated with a range of adverse health and cognitive outcomes. One factor that contributes to high blood glucose and type 2 diabetes is dietary intake. This study investigated the relationship between dietary patterns, fasting blood glucose and diabetes status in a sample of 209 participants aged 60-65. Blood plasma glucose was measured from venous blood samples. Individual Prudent and Western dietary patterns were estimated from a self-completed food frequency questionnaire. The relationship between dietary patterns, diabetes, and blood glucose was assessed via general linear model analyses controlling for age, sex, height, and total caloric intake. Results indicated that there was no association between Prudent diet and fasting blood glucose levels, or type 2 diabetes. 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="74827832"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/74827832/Validating_the_role_of_the_Australian_National_University_Alzheimers_Disease_Risk_Index_ANU_ADRI_and_a_genetic_risk_score_in_progression_to_cognitive_impairment_in_a_population_based_cohort_of_older_adults_followed_for_12_years"><img alt="Research paper thumbnail of Validating the role of the Australian National University Alzheimer's Disease Risk Index (ANU-ADRI) and a genetic risk score in progression to cognitive impairment in a population-based cohort of older adults followed for 12 years" class="work-thumbnail" src="https://attachments.academia-assets.com/82839887/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/74827832/Validating_the_role_of_the_Australian_National_University_Alzheimers_Disease_Risk_Index_ANU_ADRI_and_a_genetic_risk_score_in_progression_to_cognitive_impairment_in_a_population_based_cohort_of_older_adults_followed_for_12_years">Validating the role of the Australian National University Alzheimer's Disease Risk Index (ANU-ADRI) and a genetic risk score in progression to cognitive impairment in a population-based cohort of older adults followed for 12 years</a></div><div class="wp-workCard_item"><span>Alzheimer's research & therapy</span><span>, Jan 4, 2017</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">The number of people living with dementia is expected to exceed 130 million by 2050, which will h...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">The number of people living with dementia is expected to exceed 130 million by 2050, which will have serious personal, social and economic implications. Employing successful intervention and treatment strategies focused on disease prevention is currently the only available approach that can have an impact on the projected rates of dementia, with risk assessment being a key component of population-based risk reduction for identification of at-risk individuals. We evaluated a risk index comprising lifestyle, medical and demographic factors (the Australian National University Alzheimer&#39;s Disease Risk Index [ANU-ADRI]), as well as a genetic risk score (GRS), for assessment of the risk of progression to mild cognitive impairment (MCI). The ANU-ADRI was computed for the baseline assessment of 2078 participants in the Personality and Total Health (PATH) Through Life project. GRSs were constructed on the basis of 25 single-nucleotide polymorphisms previously associated with Alzheimer&#3...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="7d9f44bdb3da0f40ee9e4fce11151016" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":82839887,"asset_id":74827832,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/82839887/download_file?st=MTczMjc5Mzc2Nyw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="74827832"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="74827832"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 74827832; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=74827832]").text(description); $(".js-view-count[data-work-id=74827832]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 74827832; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='74827832']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 74827832, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "7d9f44bdb3da0f40ee9e4fce11151016" } } $('.js-work-strip[data-work-id=74827832]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":74827832,"title":"Validating the role of the Australian National University Alzheimer's Disease Risk Index (ANU-ADRI) and a genetic risk score in progression to cognitive impairment in a population-based cohort of older adults followed for 12 years","translated_title":"","metadata":{"abstract":"The number of people living with dementia is expected to exceed 130 million by 2050, which will have serious personal, social and economic implications. 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="74827831"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/74827831/Age_related_cognitive_decline_and_associations_with_sex_education_and_apolipoprotein_E_genotype_across_ethnocultural_groups_and_geographic_regions_a_collaborative_cohort_study"><img alt="Research paper thumbnail of Age-related cognitive decline and associations with sex, education and apolipoprotein E genotype across ethnocultural groups and geographic regions: a collaborative cohort study" class="work-thumbnail" src="https://attachments.academia-assets.com/82839799/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/74827831/Age_related_cognitive_decline_and_associations_with_sex_education_and_apolipoprotein_E_genotype_across_ethnocultural_groups_and_geographic_regions_a_collaborative_cohort_study">Age-related cognitive decline and associations with sex, education and apolipoprotein E genotype across ethnocultural groups and geographic regions: a collaborative cohort study</a></div><div class="wp-workCard_item"><span>PLoS medicine</span><span>, 2017</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">The prevalence of dementia varies around the world, potentially contributed to by international d...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">The prevalence of dementia varies around the world, potentially contributed to by international differences in rates of age-related cognitive decline. Our primary goal was to investigate how rates of age-related decline in cognitive test performance varied among international cohort studies of cognitive aging. We also determined the extent to which sex, educational attainment, and apolipoprotein E ε4 allele (APOE*4) carrier status were associated with decline. We harmonized longitudinal data for 14 cohorts from 12 countries (Australia, Brazil, France, Greece, Hong Kong, Italy, Japan, Singapore, Spain, South Korea, United Kingdom, United States), for a total of 42,170 individuals aged 54-105 y (42% male), including 3.3% with dementia at baseline. The studies began between 1989 and 2011, with all but three ongoing, and each had 2-16 assessment waves (median = 3) and a follow-up duration of 2-15 y. We analyzed standardized Mini-Mental State Examination (MMSE) and memory, processing spe...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="41ec5a1e834102c1558b7f86b1794449" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":82839799,"asset_id":74827831,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/82839799/download_file?st=MTczMjc5Mzc2Nyw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="74827831"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="74827831"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 74827831; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=74827831]").text(description); $(".js-view-count[data-work-id=74827831]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 74827831; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='74827831']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 74827831, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "41ec5a1e834102c1558b7f86b1794449" } } $('.js-work-strip[data-work-id=74827831]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":74827831,"title":"Age-related cognitive decline and associations with sex, education and apolipoprotein E genotype across ethnocultural groups and geographic regions: a collaborative cohort study","translated_title":"","metadata":{"abstract":"The prevalence of dementia varies around the world, potentially contributed to by international differences in rates of age-related cognitive decline. 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