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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 Cristina Campoy</h3></div><div class="js-work-strip profile--work_container" data-work-id="128506286"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/128506286/Supplementary_Material_for_Systematic_Review_on_N_3_and_N_6_Polyunsaturated_Fatty_Acid_Intake_in_European_Countries_in_Light_of_the_Current_Recommendations_Focus_on_Specific_Population_Groups"><img alt="Research paper thumbnail of Supplementary Material for: Systematic Review on N-3 and N-6 Polyunsaturated Fatty Acid Intake in European Countries in Light of the Current Recommendations - Focus on Specific Population Groups" 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">Supplementary Material for: Systematic Review on N-3 and N-6 Polyunsaturated Fatty Acid Intake in European Countries in Light of the Current Recommendations - Focus on Specific Population Groups</div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">&lt;b&gt;&lt;i&gt;Background:&lt;/i&gt;&lt;/b&gt; Earlier reviews indicated that in many countrie...</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">&lt;b&gt;&lt;i&gt;Background:&lt;/i&gt;&lt;/b&gt; Earlier reviews indicated that in many countries adults, children and adolescents consume on an average less polyunsaturated fatty acids (PUFAs) than recommended by the Food and Agriculture Organisation/World Health Organisation. &lt;b&gt;&lt;i&gt;Summary:&lt;/i&gt;&lt;/b&gt; The intake of total and individual n-3 and n-6 PUFAs in European infants, children, adolescents, elderly and pregnant/lactating women was evaluated systematically. &lt;b&gt;&lt;i&gt;Results:&lt;/i&gt;&lt;/b&gt; The evaluations were done against recommendations of the European Food Safety Authority. &lt;b&gt;&lt;i&gt;Key Messages:&lt;/i&gt;&lt;/b&gt; Fifty-three studies from 17 different European countries reported an intake of total n-3 and n-6 PUFAs and/or individual n-3 or n-6 PUFAs in at least one of the specific population groups: 10 in pregnant women, 4 in lactating women, 3 in infants 6-12 months, 6 in children 1-3 years, 11 in children 4-9 years, 8 in adolescents 10-18 years and 11 in elderly &amp;gt;65 years. Mean linoleic acid intake was within the recommendation (4 energy percentage [E%]) in 52% of the countries, with inadequate intakes more likely in lactating women, adolescents and elderly. Mean α-linolenic acid intake was within the recommendation (0.5 E%) in 77% of the countries. In 26% of the countries, mean eicosapentaenoic acid and/or docosahexaenoic acid intake was as recommended. These results indicate that intake of n-3 and n-6 PUFAs may be suboptimal in specific population groups in Europe.</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="128506286"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="128506286"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 128506286; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=128506286]").text(description); $(".js-view-count[data-work-id=128506286]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 128506286; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='128506286']"); 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></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.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" } } $('.js-work-strip[data-work-id=128506286]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":128506286,"title":"Supplementary Material for: Systematic Review on N-3 and N-6 Polyunsaturated Fatty Acid Intake in European Countries in Light of the Current Recommendations - Focus on Specific Population Groups","translated_title":"","metadata":{"abstract":"\u0026lt;b\u0026gt;\u0026lt;i\u0026gt;Background:\u0026lt;/i\u0026gt;\u0026lt;/b\u0026gt; Earlier reviews indicated that in many countries adults, children and adolescents consume on an average less polyunsaturated fatty acids (PUFAs) than recommended by the Food and Agriculture Organisation/World Health Organisation. \u0026lt;b\u0026gt;\u0026lt;i\u0026gt;Summary:\u0026lt;/i\u0026gt;\u0026lt;/b\u0026gt; The intake of total and individual n-3 and n-6 PUFAs in European infants, children, adolescents, elderly and pregnant/lactating women was evaluated systematically. \u0026lt;b\u0026gt;\u0026lt;i\u0026gt;Results:\u0026lt;/i\u0026gt;\u0026lt;/b\u0026gt; The evaluations were done against recommendations of the European Food Safety Authority. \u0026lt;b\u0026gt;\u0026lt;i\u0026gt;Key Messages:\u0026lt;/i\u0026gt;\u0026lt;/b\u0026gt; Fifty-three studies from 17 different European countries reported an intake of total n-3 and n-6 PUFAs and/or individual n-3 or n-6 PUFAs in at least one of the specific population groups: 10 in pregnant women, 4 in lactating women, 3 in infants 6-12 months, 6 in children 1-3 years, 11 in children 4-9 years, 8 in adolescents 10-18 years and 11 in elderly \u0026amp;gt;65 years. Mean linoleic acid intake was within the recommendation (4 energy percentage [E%]) in 52% of the countries, with inadequate intakes more likely in lactating women, adolescents and elderly. Mean α-linolenic acid intake was within the recommendation (0.5 E%) in 77% of the countries. In 26% of the countries, mean eicosapentaenoic acid and/or docosahexaenoic acid intake was as recommended. These results indicate that intake of n-3 and n-6 PUFAs may be suboptimal in specific population groups in Europe.","publication_date":{"day":null,"month":null,"year":2017,"errors":{}}},"translated_abstract":"\u0026lt;b\u0026gt;\u0026lt;i\u0026gt;Background:\u0026lt;/i\u0026gt;\u0026lt;/b\u0026gt; Earlier reviews indicated that in many countries adults, children and adolescents consume on an average less polyunsaturated fatty acids (PUFAs) than recommended by the Food and Agriculture Organisation/World Health Organisation. \u0026lt;b\u0026gt;\u0026lt;i\u0026gt;Summary:\u0026lt;/i\u0026gt;\u0026lt;/b\u0026gt; The intake of total and individual n-3 and n-6 PUFAs in European infants, children, adolescents, elderly and pregnant/lactating women was evaluated systematically. \u0026lt;b\u0026gt;\u0026lt;i\u0026gt;Results:\u0026lt;/i\u0026gt;\u0026lt;/b\u0026gt; The evaluations were done against recommendations of the European Food Safety Authority. \u0026lt;b\u0026gt;\u0026lt;i\u0026gt;Key Messages:\u0026lt;/i\u0026gt;\u0026lt;/b\u0026gt; Fifty-three studies from 17 different European countries reported an intake of total n-3 and n-6 PUFAs and/or individual n-3 or n-6 PUFAs in at least one of the specific population groups: 10 in pregnant women, 4 in lactating women, 3 in infants 6-12 months, 6 in children 1-3 years, 11 in children 4-9 years, 8 in adolescents 10-18 years and 11 in elderly \u0026amp;gt;65 years. Mean linoleic acid intake was within the recommendation (4 energy percentage [E%]) in 52% of the countries, with inadequate intakes more likely in lactating women, adolescents and elderly. Mean α-linolenic acid intake was within the recommendation (0.5 E%) in 77% of the countries. In 26% of the countries, mean eicosapentaenoic acid and/or docosahexaenoic acid intake was as recommended. These results indicate that intake of n-3 and n-6 PUFAs may be suboptimal in specific population groups in Europe.","internal_url":"https://www.academia.edu/128506286/Supplementary_Material_for_Systematic_Review_on_N_3_and_N_6_Polyunsaturated_Fatty_Acid_Intake_in_European_Countries_in_Light_of_the_Current_Recommendations_Focus_on_Specific_Population_Groups","translated_internal_url":"","created_at":"2025-03-29T17:25:43.100-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":33136580,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[],"slug":"Supplementary_Material_for_Systematic_Review_on_N_3_and_N_6_Polyunsaturated_Fatty_Acid_Intake_in_European_Countries_in_Light_of_the_Current_Recommendations_Focus_on_Specific_Population_Groups","translated_slug":"","page_count":null,"language":"en","content_type":"Work","summary":"\u0026lt;b\u0026gt;\u0026lt;i\u0026gt;Background:\u0026lt;/i\u0026gt;\u0026lt;/b\u0026gt; Earlier reviews indicated that in many countries adults, children and adolescents consume on an average less polyunsaturated fatty acids (PUFAs) than recommended by the Food and Agriculture Organisation/World Health Organisation. \u0026lt;b\u0026gt;\u0026lt;i\u0026gt;Summary:\u0026lt;/i\u0026gt;\u0026lt;/b\u0026gt; The intake of total and individual n-3 and n-6 PUFAs in European infants, children, adolescents, elderly and pregnant/lactating women was evaluated systematically. \u0026lt;b\u0026gt;\u0026lt;i\u0026gt;Results:\u0026lt;/i\u0026gt;\u0026lt;/b\u0026gt; The evaluations were done against recommendations of the European Food Safety Authority. \u0026lt;b\u0026gt;\u0026lt;i\u0026gt;Key Messages:\u0026lt;/i\u0026gt;\u0026lt;/b\u0026gt; Fifty-three studies from 17 different European countries reported an intake of total n-3 and n-6 PUFAs and/or individual n-3 or n-6 PUFAs in at least one of the specific population groups: 10 in pregnant women, 4 in lactating women, 3 in infants 6-12 months, 6 in children 1-3 years, 11 in children 4-9 years, 8 in adolescents 10-18 years and 11 in elderly \u0026amp;gt;65 years. Mean linoleic acid intake was within the recommendation (4 energy percentage [E%]) in 52% of the countries, with inadequate intakes more likely in lactating women, adolescents and elderly. Mean α-linolenic acid intake was within the recommendation (0.5 E%) in 77% of the countries. In 26% of the countries, mean eicosapentaenoic acid and/or docosahexaenoic acid intake was as recommended. These results indicate that intake of n-3 and n-6 PUFAs may be suboptimal in specific population groups in Europe.","owner":{"id":33136580,"first_name":"Cristina","middle_initials":null,"last_name":"Campoy","page_name":"CFolgoso","domain_name":"granada","created_at":"2015-07-17T04:55:47.128-07:00","display_name":"Cristina Campoy","url":"https://granada.academia.edu/CFolgoso"},"attachments":[],"research_interests":[{"id":7710,"name":"Biology","url":"https://www.academia.edu/Documents/in/Biology"},{"id":26327,"name":"Medicine","url":"https://www.academia.edu/Documents/in/Medicine"},{"id":3102540,"name":"Dietary intake","url":"https://www.academia.edu/Documents/in/Dietary_intake-1"}],"urls":[{"id":47337713,"url":"https://figshare.com/articles/Supplementary_Material_for_Systematic_Review_on_N-3_and_N-6_Polyunsaturated_Fatty_Acid_Intake_in_European_Countries_in_Light_of_the_Current_Recommendations_-_Focus_on_Specific_Population_Groups/4640683"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") if (false) { Aedu.setUpFigureCarousel('profile-work-128506286-figures'); } }); </script> <div class="js-work-strip profile--work_container" data-work-id="128506285"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/128506285/_Congenital_rubella_"><img alt="Research paper thumbnail of [Congenital rubella]" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title">[Congenital rubella]</div><div class="wp-workCard_item"><span>PubMed</span><span>, Nov 1, 1990</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="128506285"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="128506285"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 128506285; 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") if (false) { Aedu.setUpFigureCarousel('profile-work-128506285-figures'); } }); </script> <div class="js-work-strip profile--work_container" data-work-id="128506284"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/128506284/Determination_of_Hippuric_acid_by_LC_MS_Results_from_NUHEAL_cohort"><img alt="Research paper thumbnail of Determination of Hippuric acid by LC-MS : Results from NUHEAL cohort" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title">Determination of Hippuric acid by LC-MS : Results from NUHEAL cohort</div><div class="wp-workCard_item"><span>Annals of Nutrition and Metabolism</span><span>, Dec 31, 2015</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Proteomic</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="128506284"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="128506284"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 128506284; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=128506284]").text(description); $(".js-view-count[data-work-id=128506284]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 128506284; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='128506284']"); 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></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.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" } } $('.js-work-strip[data-work-id=128506284]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":128506284,"title":"Determination of Hippuric acid by LC-MS : Results from NUHEAL cohort","translated_title":"","metadata":{"abstract":"Proteomic","publisher":"Karger Publishers","publication_date":{"day":31,"month":12,"year":2015,"errors":{}},"publication_name":"Annals of Nutrition and Metabolism"},"translated_abstract":"Proteomic","internal_url":"https://www.academia.edu/128506284/Determination_of_Hippuric_acid_by_LC_MS_Results_from_NUHEAL_cohort","translated_internal_url":"","created_at":"2025-03-29T17:25:42.396-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":33136580,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[],"slug":"Determination_of_Hippuric_acid_by_LC_MS_Results_from_NUHEAL_cohort","translated_slug":"","page_count":null,"language":"en","content_type":"Work","summary":"Proteomic","owner":{"id":33136580,"first_name":"Cristina","middle_initials":null,"last_name":"Campoy","page_name":"CFolgoso","domain_name":"granada","created_at":"2015-07-17T04:55:47.128-07:00","display_name":"Cristina Campoy","url":"https://granada.academia.edu/CFolgoso"},"attachments":[],"research_interests":[{"id":523,"name":"Chemistry","url":"https://www.academia.edu/Documents/in/Chemistry"},{"id":7802,"name":"Metabolomics","url":"https://www.academia.edu/Documents/in/Metabolomics"},{"id":190203,"name":"Cohort","url":"https://www.academia.edu/Documents/in/Cohort"},{"id":963365,"name":"LC MS","url":"https://www.academia.edu/Documents/in/LC_MS-1"},{"id":1019166,"name":"Hippuric Acid","url":"https://www.academia.edu/Documents/in/Hippuric_Acid"}],"urls":[{"id":47337711,"url":"https://www.narcis.nl/publication/RecordID/oai:scholarlypublications.universiteitleiden.nl:item_2994527"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") if (false) { Aedu.setUpFigureCarousel('profile-work-128506284-figures'); } }); </script> <div class="js-work-strip profile--work_container" data-work-id="128506283"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/128506283/_Effects_of_intra_partum_stress_on_lipid_metabolism_Adaptation_of_plasma_lipid_transport_systems_in_neonates_"><img alt="Research paper thumbnail of [Effects of intra-partum stress on lipid metabolism. Adaptation of plasma lipid transport systems in neonates]" 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">[Effects of intra-partum stress on lipid metabolism. Adaptation of plasma lipid transport systems in neonates]</div><div class="wp-workCard_item"><span>PubMed</span><span>, Sep 1, 1990</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Intrapartum asphyxia modifies lipoprotein cholesterol distribution with possible repercussions re...</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">Intrapartum asphyxia modifies lipoprotein cholesterol distribution with possible repercussions related to membrane structures and its metabolic functions. We have studied plasma lipid profile and plasma lipoproteins cholesterol distribution in cord blood from 115 newborn infants and 72 pregnant women at delivery. Results and discussion: newborn infants with perinatal asphyxia (n, 48; pHua less than 7.20) have a higher cord blood triglyceridemia and lower plasma HDL-cholesterol, associated to high significant concentrations of atherogenic ratios (CT/HDLc, LDLc/HDLc) than normal newborn infants (n, 67; pHua = 7.20) [TG, 54.81 +/- 2.96 mg/dl vs 45.74 +/- 2.10 mg/dl (p less than 0.005); CT/HDLc, 24.00 +/- 1.30 mg/dl vs 29.62 +/- 1.12 mg/dl (p less than 0.05); LDLc/HDLc, 1.38 +/- 0.10 vs 1.07 +/- 0.06 (p less than 0.01)]. The highest triglycemia and atherogenic ratios in the acidotic newborn infants reveal deep changes in "esterified cholesterol/binding proteins" system, whereon "Apo A1-LCAT-Apo D" molecular complex binding HDL participate. More studies must be done to understand well this phenomenology. Furthermore, at delivery, pregnant women, that their newborn infants suffer an intrapartum hypoxia, had lower lipidemia than those who had newborn infants with intrapartum physiological stress.</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="128506283"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="128506283"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 128506283; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=128506283]").text(description); $(".js-view-count[data-work-id=128506283]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 128506283; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='128506283']"); 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></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.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" } } $('.js-work-strip[data-work-id=128506283]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":128506283,"title":"[Effects of intra-partum stress on lipid metabolism. Adaptation of plasma lipid transport systems in neonates]","translated_title":"","metadata":{"abstract":"Intrapartum asphyxia modifies lipoprotein cholesterol distribution with possible repercussions related to membrane structures and its metabolic functions. We have studied plasma lipid profile and plasma lipoproteins cholesterol distribution in cord blood from 115 newborn infants and 72 pregnant women at delivery. Results and discussion: newborn infants with perinatal asphyxia (n, 48; pHua less than 7.20) have a higher cord blood triglyceridemia and lower plasma HDL-cholesterol, associated to high significant concentrations of atherogenic ratios (CT/HDLc, LDLc/HDLc) than normal newborn infants (n, 67; pHua = 7.20) [TG, 54.81 +/- 2.96 mg/dl vs 45.74 +/- 2.10 mg/dl (p less than 0.005); CT/HDLc, 24.00 +/- 1.30 mg/dl vs 29.62 +/- 1.12 mg/dl (p less than 0.05); LDLc/HDLc, 1.38 +/- 0.10 vs 1.07 +/- 0.06 (p less than 0.01)]. The highest triglycemia and atherogenic ratios in the acidotic newborn infants reveal deep changes in \"esterified cholesterol/binding proteins\" system, whereon \"Apo A1-LCAT-Apo D\" molecular complex binding HDL participate. More studies must be done to understand well this phenomenology. Furthermore, at delivery, pregnant women, that their newborn infants suffer an intrapartum hypoxia, had lower lipidemia than those who had newborn infants with intrapartum physiological stress.","publication_date":{"day":1,"month":9,"year":1990,"errors":{}},"publication_name":"PubMed"},"translated_abstract":"Intrapartum asphyxia modifies lipoprotein cholesterol distribution with possible repercussions related to membrane structures and its metabolic functions. We have studied plasma lipid profile and plasma lipoproteins cholesterol distribution in cord blood from 115 newborn infants and 72 pregnant women at delivery. Results and discussion: newborn infants with perinatal asphyxia (n, 48; pHua less than 7.20) have a higher cord blood triglyceridemia and lower plasma HDL-cholesterol, associated to high significant concentrations of atherogenic ratios (CT/HDLc, LDLc/HDLc) than normal newborn infants (n, 67; pHua = 7.20) [TG, 54.81 +/- 2.96 mg/dl vs 45.74 +/- 2.10 mg/dl (p less than 0.005); CT/HDLc, 24.00 +/- 1.30 mg/dl vs 29.62 +/- 1.12 mg/dl (p less than 0.05); LDLc/HDLc, 1.38 +/- 0.10 vs 1.07 +/- 0.06 (p less than 0.01)]. The highest triglycemia and atherogenic ratios in the acidotic newborn infants reveal deep changes in \"esterified cholesterol/binding proteins\" system, whereon \"Apo A1-LCAT-Apo D\" molecular complex binding HDL participate. More studies must be done to understand well this phenomenology. Furthermore, at delivery, pregnant women, that their newborn infants suffer an intrapartum hypoxia, had lower lipidemia than those who had newborn infants with intrapartum physiological stress.","internal_url":"https://www.academia.edu/128506283/_Effects_of_intra_partum_stress_on_lipid_metabolism_Adaptation_of_plasma_lipid_transport_systems_in_neonates_","translated_internal_url":"","created_at":"2025-03-29T17:25:42.103-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":33136580,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[],"slug":"_Effects_of_intra_partum_stress_on_lipid_metabolism_Adaptation_of_plasma_lipid_transport_systems_in_neonates_","translated_slug":"","page_count":null,"language":"en","content_type":"Work","summary":"Intrapartum asphyxia modifies lipoprotein cholesterol distribution with possible repercussions related to membrane structures and its metabolic functions. We have studied plasma lipid profile and plasma lipoproteins cholesterol distribution in cord blood from 115 newborn infants and 72 pregnant women at delivery. Results and discussion: newborn infants with perinatal asphyxia (n, 48; pHua less than 7.20) have a higher cord blood triglyceridemia and lower plasma HDL-cholesterol, associated to high significant concentrations of atherogenic ratios (CT/HDLc, LDLc/HDLc) than normal newborn infants (n, 67; pHua = 7.20) [TG, 54.81 +/- 2.96 mg/dl vs 45.74 +/- 2.10 mg/dl (p less than 0.005); CT/HDLc, 24.00 +/- 1.30 mg/dl vs 29.62 +/- 1.12 mg/dl (p less than 0.05); LDLc/HDLc, 1.38 +/- 0.10 vs 1.07 +/- 0.06 (p less than 0.01)]. The highest triglycemia and atherogenic ratios in the acidotic newborn infants reveal deep changes in \"esterified cholesterol/binding proteins\" system, whereon \"Apo A1-LCAT-Apo D\" molecular complex binding HDL participate. More studies must be done to understand well this phenomenology. Furthermore, at delivery, pregnant women, that their newborn infants suffer an intrapartum hypoxia, had lower lipidemia than those who had newborn infants with intrapartum physiological stress.","owner":{"id":33136580,"first_name":"Cristina","middle_initials":null,"last_name":"Campoy","page_name":"CFolgoso","domain_name":"granada","created_at":"2015-07-17T04:55:47.128-07:00","display_name":"Cristina Campoy","url":"https://granada.academia.edu/CFolgoso"},"attachments":[],"research_interests":[{"id":154,"name":"Endocrinology","url":"https://www.academia.edu/Documents/in/Endocrinology"},{"id":26327,"name":"Medicine","url":"https://www.academia.edu/Documents/in/Medicine"},{"id":52055,"name":"Lipids","url":"https://www.academia.edu/Documents/in/Lipids"},{"id":62550,"name":"Pregnancy","url":"https://www.academia.edu/Documents/in/Pregnancy"},{"id":65390,"name":"Internal Medicine","url":"https://www.academia.edu/Documents/in/Internal_Medicine"},{"id":88839,"name":"Cord Blood","url":"https://www.academia.edu/Documents/in/Cord_Blood"},{"id":90514,"name":"Cholesterol","url":"https://www.academia.edu/Documents/in/Cholesterol"},{"id":98939,"name":"Pubmed","url":"https://www.academia.edu/Documents/in/Pubmed"},{"id":184609,"name":"Lipid metabolism","url":"https://www.academia.edu/Documents/in/Lipid_metabolism"},{"id":227299,"name":"Triglycerides","url":"https://www.academia.edu/Documents/in/Triglycerides"},{"id":253560,"name":"Newborn Infant","url":"https://www.academia.edu/Documents/in/Newborn_Infant"},{"id":1554834,"name":"Asphyxia neonatorum","url":"https://www.academia.edu/Documents/in/Asphyxia_neonatorum"},{"id":3298723,"name":"Asphyxia","url":"https://www.academia.edu/Documents/in/Asphyxia"},{"id":3647007,"name":"Stress Physiological","url":"https://www.academia.edu/Documents/in/Stress_Physiological"}],"urls":[{"id":47337710,"url":"https://pubmed.ncbi.nlm.nih.gov/2285189"}]}, dispatcherData: dispatcherData }); 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") if (false) { Aedu.setUpFigureCarousel('profile-work-128506279-figures'); } }); </script> <div class="js-work-strip profile--work_container" data-work-id="128506278"><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/128506278/Maternal_obesity_and_gestational_diabetes_alter_fatty_acids_during_pregnancy_the_preobe_follow_up"><img alt="Research paper thumbnail of Maternal obesity and gestational diabetes alter fatty acids during pregnancy – the preobe follow up" class="work-thumbnail" src="https://attachments.academia-assets.com/122076394/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/128506278/Maternal_obesity_and_gestational_diabetes_alter_fatty_acids_during_pregnancy_the_preobe_follow_up">Maternal obesity and gestational diabetes alter fatty acids during pregnancy – the preobe follow up</a></div><div class="wp-workCard_item"><span>Clinical Nutrition</span><span>, Sep 1, 2018</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">food records. Data were analyzed using independent t-tests, Fisher's exact test and Pearson's cor...</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">food records. Data were analyzed using independent t-tests, Fisher's exact test and Pearson's correlations coefficients. Results: 37 genetically proven MD-patients (78% m.3243A>G mutation, 42±12 years, BMI: 22.5 kg/m 2 95%>CI:21.3-23.7, 41% male) and 37 matched HC were included. More patients were classified as sarcopenic than HC (27% vs. 0%; p¼0.001). Compared with HC, patients had a shorter statue (1.71±1.0 m vs. 1.76±0.9 m; p¼0.04), lower bodyweight (66.6±12.3 kg vs. 72.2±8.9 kg; p¼0.01), lower ASM (17.7±4.0 kg vs. 19.8±3.8 kg; p¼0.02), lower HGS (28±9.7 kg vs. 42.6±8.7 kg; p<0.001), and lower protein intake (1.07 g/kg/d 95%>CI:0.95-1.20 vs. 1.27 g/kg/d 95%>CI: 1.14-1.41; p¼0.03). No difference appeared in SMI. HGS was related to SMI in both patients (r¼0.34; p¼0.04) and HC (r¼0.75; p<0.001), whereas it correlated with protein intake in patients solely (r¼0.39; p¼0.02). No relation was found between SMI and protein intake. Conclusion: MD-patients have decreased physical functioning measured by HGS, which is related with lower muscle mass and lower protein intake. Although SMI does not differ, the higher prevalence of sarcopenia warrants supporting protein intake through nutritional guidance in MD-patients.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="0765e6af40feb8327566e21529760ac8" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":122076394,"asset_id":128506278,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/122076394/download_file?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="128506278"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="128506278"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 128506278; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=128506278]").text(description); $(".js-view-count[data-work-id=128506278]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 128506278; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='128506278']"); 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></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.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: "0765e6af40feb8327566e21529760ac8" } } $('.js-work-strip[data-work-id=128506278]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":128506278,"title":"Maternal obesity and gestational diabetes alter fatty acids during pregnancy – the preobe follow up","translated_title":"","metadata":{"publisher":"Elsevier BV","grobid_abstract":"food records. Data were analyzed using independent t-tests, Fisher's exact test and Pearson's correlations coefficients. Results: 37 genetically proven MD-patients (78% m.3243A\u003eG mutation, 42±12 years, BMI: 22.5 kg/m 2 95%\u003eCI:21.3-23.7, 41% male) and 37 matched HC were included. More patients were classified as sarcopenic than HC (27% vs. 0%; p¼0.001). Compared with HC, patients had a shorter statue (1.71±1.0 m vs. 1.76±0.9 m; p¼0.04), lower bodyweight (66.6±12.3 kg vs. 72.2±8.9 kg; p¼0.01), lower ASM (17.7±4.0 kg vs. 19.8±3.8 kg; p¼0.02), lower HGS (28±9.7 kg vs. 42.6±8.7 kg; p\u003c0.001), and lower protein intake (1.07 g/kg/d 95%\u003eCI:0.95-1.20 vs. 1.27 g/kg/d 95%\u003eCI: 1.14-1.41; p¼0.03). No difference appeared in SMI. HGS was related to SMI in both patients (r¼0.34; p¼0.04) and HC (r¼0.75; p\u003c0.001), whereas it correlated with protein intake in patients solely (r¼0.39; p¼0.02). No relation was found between SMI and protein intake. Conclusion: MD-patients have decreased physical functioning measured by HGS, which is related with lower muscle mass and lower protein intake. Although SMI does not differ, the higher prevalence of sarcopenia warrants supporting protein intake through nutritional guidance in MD-patients.","publication_date":{"day":1,"month":9,"year":2018,"errors":{}},"publication_name":"Clinical Nutrition","grobid_abstract_attachment_id":122076394},"translated_abstract":null,"internal_url":"https://www.academia.edu/128506278/Maternal_obesity_and_gestational_diabetes_alter_fatty_acids_during_pregnancy_the_preobe_follow_up","translated_internal_url":"","created_at":"2025-03-29T17:25:40.332-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":33136580,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":122076394,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/122076394/thumbnails/1.jpg","file_name":"j.clnu.2018.06.202520250330-1-6ekez6.pdf","download_url":"https://www.academia.edu/attachments/122076394/download_file","bulk_download_file_name":"Maternal_obesity_and_gestational_diabete.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/122076394/j.clnu.2018.06.202520250330-1-6ekez6-libre.pdf?1743295238=\u0026response-content-disposition=attachment%3B+filename%3DMaternal_obesity_and_gestational_diabete.pdf\u0026Expires=1743325713\u0026Signature=W4LBJqHQD5o-JKtSL0BSEIfDGo8SUi41bxxb3UyMR0ME0W1X7npAgXiHeKmMoKzRmQZGoDPuqwRrqxFYJXp6D5FbM1pgUcjcUebSJrAsUn7wF-DeP5WUeJpoO4VSYqtu~q7N~5m4Yd1RaPbgSooJZ9AFnO33eOWZfUEI1xJCoBIjAxdqZr9Bcpl6aLuZYm4zE4G2NU57WMmDCOSKJBgb~J5d~2ZamJuLdtrMrX4zMdhc-6Jewisc0~PPp0YVJbqA~kxHJA~f9KVBrvFnQwLlQG8CAG5Z0mvH-6D5w4R6qI1LHtHH90qKjjS~zIq0OeEIXVxBEqV32LMvfMU~QnQ~qA__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"Maternal_obesity_and_gestational_diabetes_alter_fatty_acids_during_pregnancy_the_preobe_follow_up","translated_slug":"","page_count":1,"language":"en","content_type":"Work","summary":"food records. Data were analyzed using independent t-tests, Fisher's exact test and Pearson's correlations coefficients. Results: 37 genetically proven MD-patients (78% m.3243A\u003eG mutation, 42±12 years, BMI: 22.5 kg/m 2 95%\u003eCI:21.3-23.7, 41% male) and 37 matched HC were included. More patients were classified as sarcopenic than HC (27% vs. 0%; p¼0.001). Compared with HC, patients had a shorter statue (1.71±1.0 m vs. 1.76±0.9 m; p¼0.04), lower bodyweight (66.6±12.3 kg vs. 72.2±8.9 kg; p¼0.01), lower ASM (17.7±4.0 kg vs. 19.8±3.8 kg; p¼0.02), lower HGS (28±9.7 kg vs. 42.6±8.7 kg; p\u003c0.001), and lower protein intake (1.07 g/kg/d 95%\u003eCI:0.95-1.20 vs. 1.27 g/kg/d 95%\u003eCI: 1.14-1.41; p¼0.03). No difference appeared in SMI. HGS was related to SMI in both patients (r¼0.34; p¼0.04) and HC (r¼0.75; p\u003c0.001), whereas it correlated with protein intake in patients solely (r¼0.39; p¼0.02). No relation was found between SMI and protein intake. Conclusion: MD-patients have decreased physical functioning measured by HGS, which is related with lower muscle mass and lower protein intake. 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") if (false) { Aedu.setUpFigureCarousel('profile-work-128506277-figures'); } }); </script> <div class="js-work-strip profile--work_container" data-work-id="128506276"><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/128506276/Behavioral_predictors_of_attrition_in_adolescents_participating_in_a_multidisciplinary_obesity_treatment_program_EVASYON_study"><img alt="Research paper thumbnail of Behavioral predictors of attrition in adolescents participating in a multidisciplinary obesity treatment program: EVASYON study" class="work-thumbnail" src="https://attachments.academia-assets.com/122076401/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/128506276/Behavioral_predictors_of_attrition_in_adolescents_participating_in_a_multidisciplinary_obesity_treatment_program_EVASYON_study">Behavioral predictors of attrition in adolescents participating in a multidisciplinary obesity treatment program: EVASYON study</a></div><div class="wp-workCard_item"><span>International Journal of Obesity</span><span>, Sep 18, 2015</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">The aims of this study were to identify the cognitive and behavioral predictors of dropping out a...</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 aims of this study were to identify the cognitive and behavioral predictors of dropping out and to estimate the attrition rate during different phases of an intervention program to treat overweight and obesity in adolescents. Overweight/obese adolescents (n = 156, aged: 13-16 years; 71 male and 85 female subjects) were included in a multicomponent (diet, physical activity and psychological support) family-based group treatment program. At baseline and after 2 months (intensive phase) and 13 months (extensive phase) of follow-up, we measured adolescents' cognitive and behavioral dimensions, together with the parents' perception of their child's behavior. Of the 156 adolescents selected, 112 completed the full program (drop-out rate of 28.2%). The risk of dropping out during the extensive phase increased by 20% for each unit increase in the adolescent's social insecurity score (odds ratio = 1.20, 95% confidence interval = 1.07-1.34, P = 0.002). The adolescents who had a high interoceptive awareness showed a significant decrease of 13.0% in the probability of dropping out (odds ratio = 0.87, 95% confidence interval = 0.77-0.99, P = 0.040). Adolescents' social insecurity was the main predictor of drop-out in a multicomponent family-group-based obesity treatment program. To reduce attrition rates in these programs, the individual's social insecurity level needs to be reduced, whereas the family's awareness of eating-related behavior needs adjustment.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="e9c78d39577b49b356179b9b64ad3146" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":122076401,"asset_id":128506276,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/122076401/download_file?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="128506276"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="128506276"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 128506276; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=128506276]").text(description); $(".js-view-count[data-work-id=128506276]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 128506276; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='128506276']"); 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></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.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: "e9c78d39577b49b356179b9b64ad3146" } } $('.js-work-strip[data-work-id=128506276]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":128506276,"title":"Behavioral predictors of attrition in adolescents participating in a multidisciplinary obesity treatment program: EVASYON study","translated_title":"","metadata":{"publisher":"Nature Portfolio","grobid_abstract":"The aims of this study were to identify the cognitive and behavioral predictors of dropping out and to estimate the attrition rate during different phases of an intervention program to treat overweight and obesity in adolescents. 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Adolescents' social insecurity was the main predictor of drop-out in a multicomponent family-group-based obesity treatment program. 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") if (false) { Aedu.setUpFigureCarousel('profile-work-128506276-figures'); } }); </script> <div class="js-work-strip profile--work_container" data-work-id="128506275"><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/128506275/ESPGHAN_ESPEN_ESPR_CSPEN_guidelines_on_pediatric_parenteral_nutrition_Lipids"><img alt="Research paper thumbnail of ESPGHAN/ESPEN/ESPR/CSPEN guidelines on pediatric parenteral nutrition: Lipids" class="work-thumbnail" src="https://attachments.academia-assets.com/122076398/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/128506275/ESPGHAN_ESPEN_ESPR_CSPEN_guidelines_on_pediatric_parenteral_nutrition_Lipids">ESPGHAN/ESPEN/ESPR/CSPEN guidelines on pediatric parenteral nutrition: Lipids</a></div><div class="wp-workCard_item"><span>Clinical Nutrition</span><span>, Dec 1, 2018</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Literature search timeframe: The references cited in the previous guidelines are not repeated her...</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">Literature search timeframe: The references cited in the previous guidelines are not repeated here, except for some relevant publications, and only the previous guidelines are cited instead. All publications published after the previous guidelines (i.e., from January 2004 to December 2014), have been considered for the first draft of this manuscript. Randomized controlled trials (RCTs), review articles, prospective studies and meta-analyses published in 2015 and 2016, during the revision process, have also been considered. Type of publications: Original papers, meta-analyses and reviews.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="e3cdbb9f23b279dfc6cde5056c107094" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":122076398,"asset_id":128506275,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/122076398/download_file?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="128506275"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="128506275"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 128506275; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=128506275]").text(description); $(".js-view-count[data-work-id=128506275]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 128506275; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='128506275']"); 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></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.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: "e3cdbb9f23b279dfc6cde5056c107094" } } $('.js-work-strip[data-work-id=128506275]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":128506275,"title":"ESPGHAN/ESPEN/ESPR/CSPEN guidelines on pediatric parenteral nutrition: Lipids","translated_title":"","metadata":{"publisher":"Elsevier BV","grobid_abstract":"Literature search timeframe: The references cited in the previous guidelines are not repeated here, except for some relevant publications, and only the previous guidelines are cited instead. 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") if (false) { Aedu.setUpFigureCarousel('profile-work-128506275-figures'); } }); </script> <div class="js-work-strip profile--work_container" data-work-id="128506274"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/128506274/Factors_Affecting_Food_Choices_of_Parents_of_Children_Aged_4_10_Years_in_Four_European_Countries"><img alt="Research paper thumbnail of Factors Affecting Food Choices of Parents of Children Aged 4-10 Years in Four European Countries" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title">Factors Affecting Food Choices of Parents of Children Aged 4-10 Years in Four European Countries</div><div class="wp-workCard_item"><span>Annals of Nutrition and Metabolism</span><span>, 2013</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="128506274"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="128506274"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 128506274; 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dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=128506274]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":128506274,"title":"Factors Affecting Food Choices of Parents of Children Aged 4-10 Years in Four European Countries","translated_title":"","metadata":{"publisher":"Karger Publishers","publication_date":{"day":null,"month":null,"year":2013,"errors":{}},"publication_name":"Annals of Nutrition and Metabolism"},"translated_abstract":null,"internal_url":"https://www.academia.edu/128506274/Factors_Affecting_Food_Choices_of_Parents_of_Children_Aged_4_10_Years_in_Four_European_Countries","translated_internal_url":"","created_at":"2025-03-29T17:25:38.553-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":33136580,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[],"slug":"Factors_Affecting_Food_Choices_of_Parents_of_Children_Aged_4_10_Years_in_Four_European_Countries","translated_slug":"","page_count":null,"language":"en","content_type":"Work","summary":null,"owner":{"id":33136580,"first_name":"Cristina","middle_initials":null,"last_name":"Campoy","page_name":"CFolgoso","domain_name":"granada","created_at":"2015-07-17T04:55:47.128-07:00","display_name":"Cristina Campoy","url":"https://granada.academia.edu/CFolgoso"},"attachments":[],"research_interests":[{"id":221,"name":"Psychology","url":"https://www.academia.edu/Documents/in/Psychology"},{"id":7403,"name":"Environmental Health","url":"https://www.academia.edu/Documents/in/Environmental_Health"}],"urls":[{"id":47337701,"url":"https://openresearch.surrey.ac.uk/esploro/outputs/conferencePresentation/FACTORS-AFFECTING-FOOD-CHOICES-OF-PARENTS/99516457502346"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") if (false) { Aedu.setUpFigureCarousel('profile-work-128506274-figures'); } }); </script> <div class="js-work-strip profile--work_container" data-work-id="128506273"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/128506273/Quantitative_Study_of_Spanish_Parents_Beliefs_of_What_Effects_Childrens_Mental_Performance"><img alt="Research paper thumbnail of Quantitative Study of Spanish Parents Beliefs of What Effects Children's Mental Performance" 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">Quantitative Study of Spanish Parents Beliefs of What Effects Children's Mental Performance</div><div class="wp-workCard_item"><span>Journal of Pediatric Gastroenterology and Nutrition</span><span>, Jun 1, 2010</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Objectives and Study: Parents have a direct influence on the food choices presented to children i...</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">Objectives and Study: Parents have a direct influence on the food choices presented to children in the home. Thinking of what parents consider when choosing foood for their children it is important to know what factors they perceive to influence a child’s cognitive development and mental performance. Parents play a very important role in the development of children food choices and eating habits which may in turn influence children’s future health positively or negatively. The present study aims to quantitatively examine parents’ understanding of the factors influencing children’s mental performance. Methods: The study was conducted in Spain and participants were parents of children aged 4–10 years recruited through state elementary schools. A card sorting task was developed and used to conduct interviews with a total of 50 parents. Parents were asked about five different group of influencing factors: Biological, Educational, Social, Environmental and Psychological (18 factors in total), factors were based on evidence from scientific literature. Mental performance was defined in terms of Attention, Learning, Mood and Behavior Parents were asked to rate the effect of each factor as strong, moderate or no effects on child’s mental development in relation to each of the chosen aspects of mental performance. Responses were recorded manually, coded and group analysed using Friedman test and Cronbach Alpha test with the SPSS version 15.0. Results: The Friedman test for the general analysis show that factors that have a strong effect on mental performance for the participant were ‘‘School discipline’’, ‘‘Parents education level’’, ‘‘Class size’’, ‘‘Regularity of meals’’ and ‘‘Nutrition as a baby’’ for the four groups of cards colors sorting. Although Mood is considered lower than Attention, Learning and Behavior, all were taking from the strong effects answers groups. The card sorting colors game was tested in the study. Using the Cronbach Alpha test the questions’ homogenity, averaging all correlations between all items, were measured giving a mean value of 95,26/100. Conclusion: Spanish data reveal that parents perceive the Environmental, Social and Educational group of factors as having most influence on children’s mental performance. Mood is valued by the Spanish parents with less responses regarding the strengths compared with Attention, Learning and Behavior, which appear more homogeneous in relation to wich factors have an influence in mental performance. Disclosure of Interest: This study is part of the FP7 Project NUTRIMENTHE Grant agreement n8: 212652.</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="128506273"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="128506273"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 128506273; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=128506273]").text(description); $(".js-view-count[data-work-id=128506273]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 128506273; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='128506273']"); 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></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.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" } } $('.js-work-strip[data-work-id=128506273]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":128506273,"title":"Quantitative Study of Spanish Parents Beliefs of What Effects Children's Mental Performance","translated_title":"","metadata":{"abstract":"Objectives and Study: Parents have a direct influence on the food choices presented to children in the home. Thinking of what parents consider when choosing foood for their children it is important to know what factors they perceive to influence a child’s cognitive development and mental performance. Parents play a very important role in the development of children food choices and eating habits which may in turn influence children’s future health positively or negatively. The present study aims to quantitatively examine parents’ understanding of the factors influencing children’s mental performance. Methods: The study was conducted in Spain and participants were parents of children aged 4–10 years recruited through state elementary schools. A card sorting task was developed and used to conduct interviews with a total of 50 parents. Parents were asked about five different group of influencing factors: Biological, Educational, Social, Environmental and Psychological (18 factors in total), factors were based on evidence from scientific literature. Mental performance was defined in terms of Attention, Learning, Mood and Behavior Parents were asked to rate the effect of each factor as strong, moderate or no effects on child’s mental development in relation to each of the chosen aspects of mental performance. Responses were recorded manually, coded and group analysed using Friedman test and Cronbach Alpha test with the SPSS version 15.0. Results: The Friedman test for the general analysis show that factors that have a strong effect on mental performance for the participant were ‘‘School discipline’’, ‘‘Parents education level’’, ‘‘Class size’’, ‘‘Regularity of meals’’ and ‘‘Nutrition as a baby’’ for the four groups of cards colors sorting. Although Mood is considered lower than Attention, Learning and Behavior, all were taking from the strong effects answers groups. The card sorting colors game was tested in the study. Using the Cronbach Alpha test the questions’ homogenity, averaging all correlations between all items, were measured giving a mean value of 95,26/100. Conclusion: Spanish data reveal that parents perceive the Environmental, Social and Educational group of factors as having most influence on children’s mental performance. Mood is valued by the Spanish parents with less responses regarding the strengths compared with Attention, Learning and Behavior, which appear more homogeneous in relation to wich factors have an influence in mental performance. Disclosure of Interest: This study is part of the FP7 Project NUTRIMENTHE Grant agreement n8: 212652.","publisher":"Lippincott Williams \u0026 Wilkins","publication_date":{"day":1,"month":6,"year":2010,"errors":{}},"publication_name":"Journal of Pediatric Gastroenterology and Nutrition"},"translated_abstract":"Objectives and Study: Parents have a direct influence on the food choices presented to children in the home. Thinking of what parents consider when choosing foood for their children it is important to know what factors they perceive to influence a child’s cognitive development and mental performance. Parents play a very important role in the development of children food choices and eating habits which may in turn influence children’s future health positively or negatively. The present study aims to quantitatively examine parents’ understanding of the factors influencing children’s mental performance. Methods: The study was conducted in Spain and participants were parents of children aged 4–10 years recruited through state elementary schools. A card sorting task was developed and used to conduct interviews with a total of 50 parents. Parents were asked about five different group of influencing factors: Biological, Educational, Social, Environmental and Psychological (18 factors in total), factors were based on evidence from scientific literature. Mental performance was defined in terms of Attention, Learning, Mood and Behavior Parents were asked to rate the effect of each factor as strong, moderate or no effects on child’s mental development in relation to each of the chosen aspects of mental performance. Responses were recorded manually, coded and group analysed using Friedman test and Cronbach Alpha test with the SPSS version 15.0. Results: The Friedman test for the general analysis show that factors that have a strong effect on mental performance for the participant were ‘‘School discipline’’, ‘‘Parents education level’’, ‘‘Class size’’, ‘‘Regularity of meals’’ and ‘‘Nutrition as a baby’’ for the four groups of cards colors sorting. Although Mood is considered lower than Attention, Learning and Behavior, all were taking from the strong effects answers groups. The card sorting colors game was tested in the study. Using the Cronbach Alpha test the questions’ homogenity, averaging all correlations between all items, were measured giving a mean value of 95,26/100. Conclusion: Spanish data reveal that parents perceive the Environmental, Social and Educational group of factors as having most influence on children’s mental performance. Mood is valued by the Spanish parents with less responses regarding the strengths compared with Attention, Learning and Behavior, which appear more homogeneous in relation to wich factors have an influence in mental performance. Disclosure of Interest: This study is part of the FP7 Project NUTRIMENTHE Grant agreement n8: 212652.","internal_url":"https://www.academia.edu/128506273/Quantitative_Study_of_Spanish_Parents_Beliefs_of_What_Effects_Childrens_Mental_Performance","translated_internal_url":"","created_at":"2025-03-29T17:25:38.135-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":33136580,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[],"slug":"Quantitative_Study_of_Spanish_Parents_Beliefs_of_What_Effects_Childrens_Mental_Performance","translated_slug":"","page_count":null,"language":"en","content_type":"Work","summary":"Objectives and Study: Parents have a direct influence on the food choices presented to children in the home. Thinking of what parents consider when choosing foood for their children it is important to know what factors they perceive to influence a child’s cognitive development and mental performance. Parents play a very important role in the development of children food choices and eating habits which may in turn influence children’s future health positively or negatively. The present study aims to quantitatively examine parents’ understanding of the factors influencing children’s mental performance. Methods: The study was conducted in Spain and participants were parents of children aged 4–10 years recruited through state elementary schools. A card sorting task was developed and used to conduct interviews with a total of 50 parents. Parents were asked about five different group of influencing factors: Biological, Educational, Social, Environmental and Psychological (18 factors in total), factors were based on evidence from scientific literature. Mental performance was defined in terms of Attention, Learning, Mood and Behavior Parents were asked to rate the effect of each factor as strong, moderate or no effects on child’s mental development in relation to each of the chosen aspects of mental performance. Responses were recorded manually, coded and group analysed using Friedman test and Cronbach Alpha test with the SPSS version 15.0. Results: The Friedman test for the general analysis show that factors that have a strong effect on mental performance for the participant were ‘‘School discipline’’, ‘‘Parents education level’’, ‘‘Class size’’, ‘‘Regularity of meals’’ and ‘‘Nutrition as a baby’’ for the four groups of cards colors sorting. Although Mood is considered lower than Attention, Learning and Behavior, all were taking from the strong effects answers groups. The card sorting colors game was tested in the study. Using the Cronbach Alpha test the questions’ homogenity, averaging all correlations between all items, were measured giving a mean value of 95,26/100. Conclusion: Spanish data reveal that parents perceive the Environmental, Social and Educational group of factors as having most influence on children’s mental performance. Mood is valued by the Spanish parents with less responses regarding the strengths compared with Attention, Learning and Behavior, which appear more homogeneous in relation to wich factors have an influence in mental performance. Disclosure of Interest: This study is part of the FP7 Project NUTRIMENTHE Grant agreement n8: 212652.","owner":{"id":33136580,"first_name":"Cristina","middle_initials":null,"last_name":"Campoy","page_name":"CFolgoso","domain_name":"granada","created_at":"2015-07-17T04:55:47.128-07:00","display_name":"Cristina Campoy","url":"https://granada.academia.edu/CFolgoso"},"attachments":[],"research_interests":[{"id":221,"name":"Psychology","url":"https://www.academia.edu/Documents/in/Psychology"},{"id":252,"name":"Developmental Psychology","url":"https://www.academia.edu/Documents/in/Developmental_Psychology"},{"id":2827,"name":"Mental Health","url":"https://www.academia.edu/Documents/in/Mental_Health"},{"id":45293,"name":"Mood","url":"https://www.academia.edu/Documents/in/Mood"}],"urls":[{"id":47337700,"url":"https://openresearch.surrey.ac.uk/esploro/outputs/conferencePresentation/QUANTITATIVE-STUDY-OF-SPANISH-PARENTS-BELIEFS-OF-WHAT-EFFECTS-CHILDRENS-MENTAL-PERFORMANCE/99516875102346"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") if (false) { Aedu.setUpFigureCarousel('profile-work-128506273-figures'); } }); </script> <div class="js-work-strip profile--work_container" data-work-id="128506272"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/128506272/Effect_of_food_on_learning_views_of_parents_in_four_European_countries"><img alt="Research paper thumbnail of Effect of food on learning: views of parents in four European countries" 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">Effect of food on learning: views of parents in four European countries</div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Introduction: Nutrition is one of many factors influencing a child’s learning abilitiy. Objective...</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">Introduction: Nutrition is one of many factors influencing a child’s learning abilitiy. Objectives: This study aims to assess parents’ views on the effect of food on children’s ability to learn in four European countries (England, Germany, Hungary, Spain). Method. Design: Parents of children aged 4 to 10 years were recruited through state elementary schools. Participants were asked to sort 18 cards representing possible determinants of learning (in 6 categories: 4 food related, 3 educational, 2 physical, 4 social, 2 psychological, 3 biological) according to their views about strength of effect. Determinants were identified from the literature. Effects were scored: 0=none; 1=moderate; 2=strong. Results: 201 parents took part. There were no significant differences among countries in age, gender, number of children of participants. Higher proportions of parents in England and Germany had received university education than in the other countries (p=0.015); significantly fewer parents in Spain were in employment (p&lt;0.001). Taking all countries together, respondents felt that physical (sleep and activity), psychological (mood and behavior) and educational (class size, teaching quality, school discipline) determinants had the largest effects on learning (means 1.72, 1.71, 1.63, respectively). Social (birth order, income, parent’s education, stimulation at home) and biological determinants (birth weight, IQ, genetic factors) had the lowest effect (1.20, 1.06). Food determinants were ranked 4th out of 6 categories (mean 1.34). Within the food category, regular meals (and nutrition as a baby) are the most (and least) important determinants (1.59, 1.06, respectively). Food at school (1.37) and a child’s current diet (1.36) were intermediate. Responses from parents in Spain on some food determinants differed significantly from those of parents in the other countries. Conclusions: Parents do not perceive food as a major determinant of learning in children; better formulated and targeted communication with parents is needed. Supported by the European Communities 7th Framework Programme (NUTRIMENTHE Grant agreement number: 212652).</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="128506272"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="128506272"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 128506272; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=128506272]").text(description); $(".js-view-count[data-work-id=128506272]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 128506272; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='128506272']"); 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></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.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" } } $('.js-work-strip[data-work-id=128506272]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":128506272,"title":"Effect of food on learning: views of parents in four European countries","translated_title":"","metadata":{"abstract":"Introduction: Nutrition is one of many factors influencing a child’s learning abilitiy. Objectives: This study aims to assess parents’ views on the effect of food on children’s ability to learn in four European countries (England, Germany, Hungary, Spain). Method. Design: Parents of children aged 4 to 10 years were recruited through state elementary schools. Participants were asked to sort 18 cards representing possible determinants of learning (in 6 categories: 4 food related, 3 educational, 2 physical, 4 social, 2 psychological, 3 biological) according to their views about strength of effect. Determinants were identified from the literature. Effects were scored: 0=none; 1=moderate; 2=strong. Results: 201 parents took part. There were no significant differences among countries in age, gender, number of children of participants. Higher proportions of parents in England and Germany had received university education than in the other countries (p=0.015); significantly fewer parents in Spain were in employment (p\u0026lt;0.001). Taking all countries together, respondents felt that physical (sleep and activity), psychological (mood and behavior) and educational (class size, teaching quality, school discipline) determinants had the largest effects on learning (means 1.72, 1.71, 1.63, respectively). Social (birth order, income, parent’s education, stimulation at home) and biological determinants (birth weight, IQ, genetic factors) had the lowest effect (1.20, 1.06). Food determinants were ranked 4th out of 6 categories (mean 1.34). Within the food category, regular meals (and nutrition as a baby) are the most (and least) important determinants (1.59, 1.06, respectively). Food at school (1.37) and a child’s current diet (1.36) were intermediate. Responses from parents in Spain on some food determinants differed significantly from those of parents in the other countries. Conclusions: Parents do not perceive food as a major determinant of learning in children; better formulated and targeted communication with parents is needed. Supported by the European Communities 7th Framework Programme (NUTRIMENTHE Grant agreement number: 212652).","publication_date":{"day":null,"month":null,"year":2011,"errors":{}}},"translated_abstract":"Introduction: Nutrition is one of many factors influencing a child’s learning abilitiy. Objectives: This study aims to assess parents’ views on the effect of food on children’s ability to learn in four European countries (England, Germany, Hungary, Spain). Method. Design: Parents of children aged 4 to 10 years were recruited through state elementary schools. Participants were asked to sort 18 cards representing possible determinants of learning (in 6 categories: 4 food related, 3 educational, 2 physical, 4 social, 2 psychological, 3 biological) according to their views about strength of effect. Determinants were identified from the literature. Effects were scored: 0=none; 1=moderate; 2=strong. Results: 201 parents took part. There were no significant differences among countries in age, gender, number of children of participants. Higher proportions of parents in England and Germany had received university education than in the other countries (p=0.015); significantly fewer parents in Spain were in employment (p\u0026lt;0.001). Taking all countries together, respondents felt that physical (sleep and activity), psychological (mood and behavior) and educational (class size, teaching quality, school discipline) determinants had the largest effects on learning (means 1.72, 1.71, 1.63, respectively). Social (birth order, income, parent’s education, stimulation at home) and biological determinants (birth weight, IQ, genetic factors) had the lowest effect (1.20, 1.06). Food determinants were ranked 4th out of 6 categories (mean 1.34). Within the food category, regular meals (and nutrition as a baby) are the most (and least) important determinants (1.59, 1.06, respectively). Food at school (1.37) and a child’s current diet (1.36) were intermediate. Responses from parents in Spain on some food determinants differed significantly from those of parents in the other countries. Conclusions: Parents do not perceive food as a major determinant of learning in children; better formulated and targeted communication with parents is needed. Supported by the European Communities 7th Framework Programme (NUTRIMENTHE Grant agreement number: 212652).","internal_url":"https://www.academia.edu/128506272/Effect_of_food_on_learning_views_of_parents_in_four_European_countries","translated_internal_url":"","created_at":"2025-03-29T17:25:37.866-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":33136580,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[],"slug":"Effect_of_food_on_learning_views_of_parents_in_four_European_countries","translated_slug":"","page_count":null,"language":"en","content_type":"Work","summary":"Introduction: Nutrition is one of many factors influencing a child’s learning abilitiy. Objectives: This study aims to assess parents’ views on the effect of food on children’s ability to learn in four European countries (England, Germany, Hungary, Spain). Method. Design: Parents of children aged 4 to 10 years were recruited through state elementary schools. Participants were asked to sort 18 cards representing possible determinants of learning (in 6 categories: 4 food related, 3 educational, 2 physical, 4 social, 2 psychological, 3 biological) according to their views about strength of effect. Determinants were identified from the literature. Effects were scored: 0=none; 1=moderate; 2=strong. Results: 201 parents took part. There were no significant differences among countries in age, gender, number of children of participants. Higher proportions of parents in England and Germany had received university education than in the other countries (p=0.015); significantly fewer parents in Spain were in employment (p\u0026lt;0.001). Taking all countries together, respondents felt that physical (sleep and activity), psychological (mood and behavior) and educational (class size, teaching quality, school discipline) determinants had the largest effects on learning (means 1.72, 1.71, 1.63, respectively). Social (birth order, income, parent’s education, stimulation at home) and biological determinants (birth weight, IQ, genetic factors) had the lowest effect (1.20, 1.06). Food determinants were ranked 4th out of 6 categories (mean 1.34). Within the food category, regular meals (and nutrition as a baby) are the most (and least) important determinants (1.59, 1.06, respectively). Food at school (1.37) and a child’s current diet (1.36) were intermediate. Responses from parents in Spain on some food determinants differed significantly from those of parents in the other countries. Conclusions: Parents do not perceive food as a major determinant of learning in children; better formulated and targeted communication with parents is needed. Supported by the European Communities 7th Framework Programme (NUTRIMENTHE Grant agreement number: 212652).","owner":{"id":33136580,"first_name":"Cristina","middle_initials":null,"last_name":"Campoy","page_name":"CFolgoso","domain_name":"granada","created_at":"2015-07-17T04:55:47.128-07:00","display_name":"Cristina Campoy","url":"https://granada.academia.edu/CFolgoso"},"attachments":[],"research_interests":[{"id":221,"name":"Psychology","url":"https://www.academia.edu/Documents/in/Psychology"},{"id":26327,"name":"Medicine","url":"https://www.academia.edu/Documents/in/Medicine"},{"id":45293,"name":"Mood","url":"https://www.academia.edu/Documents/in/Mood"}],"urls":[{"id":47337699,"url":"https://surrey.eprints-hosting.org/763176/"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") if (false) { Aedu.setUpFigureCarousel('profile-work-128506272-figures'); } }); </script> <div 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dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") if (false) { Aedu.setUpFigureCarousel('profile-work-128506271-figures'); } }); </script> <div class="js-work-strip profile--work_container" data-work-id="128506270"><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/128506270/Method_devised_for_determining_low_molecular_weight_organic_acids_in_vinic_samples_by_capillary_electrophoresis_validation_of_the_method_with_real_samples"><img alt="Research paper thumbnail of Method devised for determining low molecular weight organic acids in vinic samples by capillary electrophoresis: validation of the method with real samples" class="work-thumbnail" src="https://attachments.academia-assets.com/122076393/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/128506270/Method_devised_for_determining_low_molecular_weight_organic_acids_in_vinic_samples_by_capillary_electrophoresis_validation_of_the_method_with_real_samples">Method devised for determining low molecular weight organic acids in vinic samples by capillary electrophoresis: validation of the method with real samples</a></div><div class="wp-workCard_item"><span>European Food Research and Technology</span><span>, Oct 1, 2001</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">The validation has been carried out of a method devised for determining by capillary electrophore...</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 validation has been carried out of a method devised for determining by capillary electrophoresis the low molecular weight organic acids present in various types of vinic sample. The organic acids specifically studied are those most commonly found in samples of vinic origin: formic, fumaric, succinic, oxalic, malic, tartaric, acetic, lactic and citric acids. The electropherograms were obtained using an electrolyte consisting of tetraborate buffer (10 mmol/l) at pH 9.3, an electroosmotic flow moderator (TTAOH), and Ca 2+ and Mg 2+ as complexing agents, for better resolution of some of the acids studied. Other conditions of the method are hydrostatic injection (10 cm height for 30 s), UV detection at a wavelength of 185 nm and temperature of 200 °C. The method used for the validation was comparison of the slopes of the curves obtained with standards and the regression curves obtained by standard addition. For this comparison, t and F statistics were used.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="7ece06529b004b016a18ca27674bf220" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":122076393,"asset_id":128506270,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/122076393/download_file?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="128506270"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="128506270"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 128506270; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=128506270]").text(description); $(".js-view-count[data-work-id=128506270]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 128506270; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='128506270']"); 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></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.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: "7ece06529b004b016a18ca27674bf220" } } $('.js-work-strip[data-work-id=128506270]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":128506270,"title":"Method devised for determining low molecular weight organic acids in vinic samples by capillary electrophoresis: validation of the method with real samples","translated_title":"","metadata":{"publisher":"Springer Science+Business Media","grobid_abstract":"The validation has been carried out of a method devised for determining by capillary electrophoresis the low molecular weight organic acids present in various types of vinic sample. The organic acids specifically studied are those most commonly found in samples of vinic origin: formic, fumaric, succinic, oxalic, malic, tartaric, acetic, lactic and citric acids. The electropherograms were obtained using an electrolyte consisting of tetraborate buffer (10 mmol/l) at pH 9.3, an electroosmotic flow moderator (TTAOH), and Ca 2+ and Mg 2+ as complexing agents, for better resolution of some of the acids studied. Other conditions of the method are hydrostatic injection (10 cm height for 30 s), UV detection at a wavelength of 185 nm and temperature of 200 °C. The method used for the validation was comparison of the slopes of the curves obtained with standards and the regression curves obtained by standard addition. For this comparison, t and F statistics were used.","publication_date":{"day":1,"month":10,"year":2001,"errors":{}},"publication_name":"European Food Research and Technology","grobid_abstract_attachment_id":122076393},"translated_abstract":null,"internal_url":"https://www.academia.edu/128506270/Method_devised_for_determining_low_molecular_weight_organic_acids_in_vinic_samples_by_capillary_electrophoresis_validation_of_the_method_with_real_samples","translated_internal_url":"","created_at":"2025-03-29T17:25:37.054-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":33136580,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":122076393,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/122076393/thumbnails/1.jpg","file_name":"s002170100398.pdf","download_url":"https://www.academia.edu/attachments/122076393/download_file","bulk_download_file_name":"Method_devised_for_determining_low_molec.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/122076393/s002170100398-libre.pdf?1743295240=\u0026response-content-disposition=attachment%3B+filename%3DMethod_devised_for_determining_low_molec.pdf\u0026Expires=1743325713\u0026Signature=gl~uK0zuwCvd4DdliVq6O0n3dN~tTjQsZeqaLXneUD9aLoRJGX222MdlXsLDErAndZbeLpPQcuniwsQ9lrfaXYGYsZIS6IaRuSrH8M118C9dx0afFqPJI~OSuq1IIbWRdSZd1fUjQXUjksVdFYGHbEfqcLvt06C6eWpK98JzoLH3NwuT4PkWiu7L0oeN-WMAxI~NiNMLjqPL-cMjsrPiVKfkdcvjOuYTsUyFVhfHdhKGMPJH1erFBaeKLT0ZwZpvDwYv9oPr0wGbphCYU8JUcRN~L~4Hlgoi5Lm41YqsjZjIvHubzvhyMVicTTQMlx-UoBcU6uJYo5eO-RT1ErpN5A__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"Method_devised_for_determining_low_molecular_weight_organic_acids_in_vinic_samples_by_capillary_electrophoresis_validation_of_the_method_with_real_samples","translated_slug":"","page_count":2,"language":"en","content_type":"Work","summary":"The validation has been carried out of a method devised for determining by capillary electrophoresis the low molecular weight organic acids present in various types of vinic sample. The organic acids specifically studied are those most commonly found in samples of vinic origin: formic, fumaric, succinic, oxalic, malic, tartaric, acetic, lactic and citric acids. The electropherograms were obtained using an electrolyte consisting of tetraborate buffer (10 mmol/l) at pH 9.3, an electroosmotic flow moderator (TTAOH), and Ca 2+ and Mg 2+ as complexing agents, for better resolution of some of the acids studied. Other conditions of the method are hydrostatic injection (10 cm height for 30 s), UV detection at a wavelength of 185 nm and temperature of 200 °C. The method used for the validation was comparison of the slopes of the curves obtained with standards and the regression curves obtained by standard addition. For this comparison, t and F statistics were used.","owner":{"id":33136580,"first_name":"Cristina","middle_initials":null,"last_name":"Campoy","page_name":"CFolgoso","domain_name":"granada","created_at":"2015-07-17T04:55:47.128-07:00","display_name":"Cristina Campoy","url":"https://granada.academia.edu/CFolgoso"},"attachments":[{"id":122076393,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/122076393/thumbnails/1.jpg","file_name":"s002170100398.pdf","download_url":"https://www.academia.edu/attachments/122076393/download_file","bulk_download_file_name":"Method_devised_for_determining_low_molec.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/122076393/s002170100398-libre.pdf?1743295240=\u0026response-content-disposition=attachment%3B+filename%3DMethod_devised_for_determining_low_molec.pdf\u0026Expires=1743325713\u0026Signature=gl~uK0zuwCvd4DdliVq6O0n3dN~tTjQsZeqaLXneUD9aLoRJGX222MdlXsLDErAndZbeLpPQcuniwsQ9lrfaXYGYsZIS6IaRuSrH8M118C9dx0afFqPJI~OSuq1IIbWRdSZd1fUjQXUjksVdFYGHbEfqcLvt06C6eWpK98JzoLH3NwuT4PkWiu7L0oeN-WMAxI~NiNMLjqPL-cMjsrPiVKfkdcvjOuYTsUyFVhfHdhKGMPJH1erFBaeKLT0ZwZpvDwYv9oPr0wGbphCYU8JUcRN~L~4Hlgoi5Lm41YqsjZjIvHubzvhyMVicTTQMlx-UoBcU6uJYo5eO-RT1ErpN5A__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":523,"name":"Chemistry","url":"https://www.academia.edu/Documents/in/Chemistry"},{"id":4656,"name":"Chromatography","url":"https://www.academia.edu/Documents/in/Chromatography"},{"id":14907,"name":"Industrial Biotechnology","url":"https://www.academia.edu/Documents/in/Industrial_Biotechnology"},{"id":15375,"name":"Capillary electrophoresis","url":"https://www.academia.edu/Documents/in/Capillary_electrophoresis"},{"id":37306,"name":"Quality Control","url":"https://www.academia.edu/Documents/in/Quality_Control"},{"id":38516,"name":"Wine","url":"https://www.academia.edu/Documents/in/Wine"},{"id":51513,"name":"Test Validation","url":"https://www.academia.edu/Documents/in/Test_Validation"},{"id":573653,"name":"Food Sciences","url":"https://www.academia.edu/Documents/in/Food_Sciences"},{"id":977996,"name":"Citric Acid","url":"https://www.academia.edu/Documents/in/Citric_Acid"},{"id":1237507,"name":"European Food","url":"https://www.academia.edu/Documents/in/European_Food"},{"id":1496706,"name":"Low molecular weight","url":"https://www.academia.edu/Documents/in/Low_molecular_weight"},{"id":1701407,"name":"Organic Acid","url":"https://www.academia.edu/Documents/in/Organic_Acid"},{"id":1845205,"name":"Tartaric acid","url":"https://www.academia.edu/Documents/in/Tartaric_acid"}],"urls":[{"id":47337697,"url":"https://doi.org/10.1007/s002170100398"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") if (false) { Aedu.setUpFigureCarousel('profile-work-128506270-figures'); } }); </script> <div class="js-work-strip profile--work_container" data-work-id="128506269"><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/128506269/Influences_on_infant_feeding_decisions_of_first_time_mothers_in_five_European_countries"><img alt="Research paper thumbnail of Influences on infant feeding decisions of first-time mothers in five European countries" class="work-thumbnail" src="https://attachments.academia-assets.com/122076396/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/128506269/Influences_on_infant_feeding_decisions_of_first_time_mothers_in_five_European_countries">Influences on infant feeding decisions of first-time mothers in five European countries</a></div><div class="wp-workCard_item"><span>European Journal of Clinical Nutrition</span><span>, Jun 13, 2012</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Background/ Objectives: Infant feeding decisions made by new parents have significant health impl...</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">Background/ Objectives: Infant feeding decisions made by new parents have significant health implications. The study aimed to investigate: influences on infant feeding decisions; characteristics of mothers reporting reliance on alternative information sources; associations between reliance on different sources and intentions to exclusively breastfeed and introduce complementary foods later, and subsequent breastfeeding and weaning behaviours. Subjects/ Methods: First-time mothers in five European countries (England, Finland, Germany, Hungary, Spain) completed questionnaires about the importance of 17 influences on infant feeding choices at birth and eight months later, during 2007-8. Use of individual sources and reliance on four categories (family and friends, health professionals, written materials, audio-visual media) were compared between countries. Associations between information sources used and mother characteristics, feeding intentions, and behaviours were investigated using appropriate statistical tests. Results: 2071 first-time mothers provided baseline data; 78% at eight months. Across all countries, the most important influences at both time points were books, partner and antenatal midwife. Mothers in higher income quintiles and remaining at school beyond age 16 reported greater reliance on written sources (p<.005). Mothers relying most on written sources reported longer exclusive breastfeeding (p=.002), and a tendency to introduce foods other than milk later (p=.079) than mothers relying most on personal or professional contacts. Variation exists between countries in the influence of different sources on feeding decisions of first-time mothers. Further research is required about which dissemination strategies are most effective at improving infant feeding behaviours in varied cultural settings, and for different socio -economic groups.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="d5aa102e749e62e4143223d7d0e983fa" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":122076396,"asset_id":128506269,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/122076396/download_file?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="128506269"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="128506269"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 128506269; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=128506269]").text(description); $(".js-view-count[data-work-id=128506269]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 128506269; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='128506269']"); 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></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.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: "d5aa102e749e62e4143223d7d0e983fa" } } $('.js-work-strip[data-work-id=128506269]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":128506269,"title":"Influences on infant feeding decisions of first-time mothers in five European countries","translated_title":"","metadata":{"publisher":"Springer Nature","grobid_abstract":"Background/ Objectives: Infant feeding decisions made by new parents have significant health implications. The study aimed to investigate: influences on infant feeding decisions; characteristics of mothers reporting reliance on alternative information sources; associations between reliance on different sources and intentions to exclusively breastfeed and introduce complementary foods later, and subsequent breastfeeding and weaning behaviours. Subjects/ Methods: First-time mothers in five European countries (England, Finland, Germany, Hungary, Spain) completed questionnaires about the importance of 17 influences on infant feeding choices at birth and eight months later, during 2007-8. Use of individual sources and reliance on four categories (family and friends, health professionals, written materials, audio-visual media) were compared between countries. Associations between information sources used and mother characteristics, feeding intentions, and behaviours were investigated using appropriate statistical tests. Results: 2071 first-time mothers provided baseline data; 78% at eight months. Across all countries, the most important influences at both time points were books, partner and antenatal midwife. Mothers in higher income quintiles and remaining at school beyond age 16 reported greater reliance on written sources (p\u003c.005). Mothers relying most on written sources reported longer exclusive breastfeeding (p=.002), and a tendency to introduce foods other than milk later (p=.079) than mothers relying most on personal or professional contacts. Variation exists between countries in the influence of different sources on feeding decisions of first-time mothers. Further research is required about which dissemination strategies are most effective at improving infant feeding behaviours in varied cultural settings, and for different socio -economic groups.","publication_date":{"day":13,"month":6,"year":2012,"errors":{}},"publication_name":"European Journal of Clinical Nutrition","grobid_abstract_attachment_id":122076396},"translated_abstract":null,"internal_url":"https://www.academia.edu/128506269/Influences_on_infant_feeding_decisions_of_first_time_mothers_in_five_European_countries","translated_internal_url":"","created_at":"2025-03-29T17:25:36.759-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":33136580,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":122076396,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/122076396/thumbnails/1.jpg","file_name":"Gage_20et_20al_202012_20Influences_20on_20Infant_20Feeding_20Decisions_20of_20First_20Time_20Mothers_20in_20Five_20European_20Countries..pdf","download_url":"https://www.academia.edu/attachments/122076396/download_file","bulk_download_file_name":"Influences_on_infant_feeding_decisions_o.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/122076396/Gage_20et_20al_202012_20Influences_20on_20Infant_20Feeding_20Decisions_20of_20First_20Time_20Mothers_20in_20Five_20European_20Countries.-libre.pdf?1743295243=\u0026response-content-disposition=attachment%3B+filename%3DInfluences_on_infant_feeding_decisions_o.pdf\u0026Expires=1743325713\u0026Signature=NToO12NhkytKzhMnsLv3U7M4qin8RLZeCRzWcRLJiATQS8ZfPMXgggfh4KhDUr6X-9VBA4qNz7vmJvfTvAJfvZdl-E0X7dIH-J4Al0HwufcZwwqee76nITV4HSobgJAKVoHWgWNVDu4bKa3zJq2aWI38xcJrvNcmnZI2yeogBIeHHMs9kGfHDhhyv1UB1ajbnBQe1BkQzXviY2-ikqGuxNdUedQbejtyDn5hOM7sQZuJeqOwkpyg0DEckfIz0YsjwYeihWixkyP73Iz4N8uBuIS0NsGrqKhAaugjRVkwKbAEJ~HyfhKmONMGeQdUv9jGaJ8TI8OBpKmUZAgCh7mTAg__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"Influences_on_infant_feeding_decisions_of_first_time_mothers_in_five_European_countries","translated_slug":"","page_count":18,"language":"en","content_type":"Work","summary":"Background/ Objectives: Infant feeding decisions made by new parents have significant health implications. The study aimed to investigate: influences on infant feeding decisions; characteristics of mothers reporting reliance on alternative information sources; associations between reliance on different sources and intentions to exclusively breastfeed and introduce complementary foods later, and subsequent breastfeeding and weaning behaviours. Subjects/ Methods: First-time mothers in five European countries (England, Finland, Germany, Hungary, Spain) completed questionnaires about the importance of 17 influences on infant feeding choices at birth and eight months later, during 2007-8. Use of individual sources and reliance on four categories (family and friends, health professionals, written materials, audio-visual media) were compared between countries. Associations between information sources used and mother characteristics, feeding intentions, and behaviours were investigated using appropriate statistical tests. Results: 2071 first-time mothers provided baseline data; 78% at eight months. Across all countries, the most important influences at both time points were books, partner and antenatal midwife. Mothers in higher income quintiles and remaining at school beyond age 16 reported greater reliance on written sources (p\u003c.005). Mothers relying most on written sources reported longer exclusive breastfeeding (p=.002), and a tendency to introduce foods other than milk later (p=.079) than mothers relying most on personal or professional contacts. Variation exists between countries in the influence of different sources on feeding decisions of first-time mothers. Further research is required about which dissemination strategies are most effective at improving infant feeding behaviours in varied cultural settings, and for different socio -economic groups.","owner":{"id":33136580,"first_name":"Cristina","middle_initials":null,"last_name":"Campoy","page_name":"CFolgoso","domain_name":"granada","created_at":"2015-07-17T04:55:47.128-07:00","display_name":"Cristina Campoy","url":"https://granada.academia.edu/CFolgoso"},"attachments":[{"id":122076396,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/122076396/thumbnails/1.jpg","file_name":"Gage_20et_20al_202012_20Influences_20on_20Infant_20Feeding_20Decisions_20of_20First_20Time_20Mothers_20in_20Five_20European_20Countries..pdf","download_url":"https://www.academia.edu/attachments/122076396/download_file","bulk_download_file_name":"Influences_on_infant_feeding_decisions_o.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/122076396/Gage_20et_20al_202012_20Influences_20on_20Infant_20Feeding_20Decisions_20of_20First_20Time_20Mothers_20in_20Five_20European_20Countries.-libre.pdf?1743295243=\u0026response-content-disposition=attachment%3B+filename%3DInfluences_on_infant_feeding_decisions_o.pdf\u0026Expires=1743325713\u0026Signature=NToO12NhkytKzhMnsLv3U7M4qin8RLZeCRzWcRLJiATQS8ZfPMXgggfh4KhDUr6X-9VBA4qNz7vmJvfTvAJfvZdl-E0X7dIH-J4Al0HwufcZwwqee76nITV4HSobgJAKVoHWgWNVDu4bKa3zJq2aWI38xcJrvNcmnZI2yeogBIeHHMs9kGfHDhhyv1UB1ajbnBQe1BkQzXviY2-ikqGuxNdUedQbejtyDn5hOM7sQZuJeqOwkpyg0DEckfIz0YsjwYeihWixkyP73Iz4N8uBuIS0NsGrqKhAaugjRVkwKbAEJ~HyfhKmONMGeQdUv9jGaJ8TI8OBpKmUZAgCh7mTAg__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"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":30494,"name":"England","url":"https://www.academia.edu/Documents/in/England"},{"id":40516,"name":"Spain","url":"https://www.academia.edu/Documents/in/Spain"},{"id":46676,"name":"Finland","url":"https://www.academia.edu/Documents/in/Finland"},{"id":46785,"name":"Breastfeeding","url":"https://www.academia.edu/Documents/in/Breastfeeding"},{"id":50576,"name":"Germany","url":"https://www.academia.edu/Documents/in/Germany"},{"id":81896,"name":"Hungary","url":"https://www.academia.edu/Documents/in/Hungary"},{"id":133057,"name":"Young Adult","url":"https://www.academia.edu/Documents/in/Young_Adult"},{"id":134346,"name":"Infant","url":"https://www.academia.edu/Documents/in/Infant"},{"id":137516,"name":"Follow-up studies","url":"https://www.academia.edu/Documents/in/Follow-up_studies"},{"id":154426,"name":"Infant feeding","url":"https://www.academia.edu/Documents/in/Infant_feeding"},{"id":162282,"name":"Mothers","url":"https://www.academia.edu/Documents/in/Mothers"},{"id":170690,"name":"Weaning","url":"https://www.academia.edu/Documents/in/Weaning"},{"id":327850,"name":"Questionnaires","url":"https://www.academia.edu/Documents/in/Questionnaires"},{"id":330953,"name":"Longitudinal Studies","url":"https://www.academia.edu/Documents/in/Longitudinal_Studies"},{"id":443581,"name":"Breast feeding","url":"https://www.academia.edu/Documents/in/Breast_feeding"},{"id":573653,"name":"Food Sciences","url":"https://www.academia.edu/Documents/in/Food_Sciences"},{"id":1529835,"name":"Choice Behavior","url":"https://www.academia.edu/Documents/in/Choice_Behavior"},{"id":2345130,"name":"Socioeconomic Factors","url":"https://www.academia.edu/Documents/in/Socioeconomic_Factors"}],"urls":[{"id":47337696,"url":"https://www.nature.com/articles/ejcn201256.pdf"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") if (false) { Aedu.setUpFigureCarousel('profile-work-128506269-figures'); } }); </script> <div class="js-work-strip profile--work_container" data-work-id="128506268"><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/128506268/Maternal_BMI_and_gestational_diabetes_mellitus_Impacts_on_the_maternal_and_cord_blood_metabolome"><img alt="Research paper thumbnail of Maternal BMI and gestational diabetes mellitus: Impacts on the maternal and cord blood metabolome" class="work-thumbnail" src="https://attachments.academia-assets.com/122076390/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/128506268/Maternal_BMI_and_gestational_diabetes_mellitus_Impacts_on_the_maternal_and_cord_blood_metabolome">Maternal BMI and gestational diabetes mellitus: Impacts on the maternal and cord blood metabolome</a></div><div class="wp-workCard_item"><span>Clinical Nutrition</span><span>, Sep 1, 2018</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="e45b10b3f699656c495b57e11da79ce4" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":122076390,"asset_id":128506268,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/122076390/download_file?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="128506268"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="128506268"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 128506268; 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SSW</div><div class="wp-workCard_item"><span>Aktuelle Ernährungsmedizin</span><span>, Apr 19, 2004</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="128506267"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="128506267"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 128506267; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=128506267]").text(description); $(".js-view-count[data-work-id=128506267]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 128506267; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='128506267']"); 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></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.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" } } $('.js-work-strip[data-work-id=128506267]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":128506267,"title":"Aufnahme von Docosahexaensäure und Folsäure über die Nahrung bei Schwangeren in der 20. 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Mean linoleic acid intake was within the recommendation (4 energy percentage [E%]) in 52% of the countries, with inadequate intakes more likely in lactating women, adolescents and elderly. Mean α-linolenic acid intake was within the recommendation (0.5 E%) in 77% of the countries. In 26% of the countries, mean eicosapentaenoic acid and/or docosahexaenoic acid intake was as recommended. These results indicate that intake of n-3 and n-6 PUFAs may be suboptimal in specific population groups in Europe.</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="128506286"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="128506286"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 128506286; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=128506286]").text(description); $(".js-view-count[data-work-id=128506286]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 128506286; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='128506286']"); 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></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.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" } } $('.js-work-strip[data-work-id=128506286]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":128506286,"title":"Supplementary Material for: Systematic Review on N-3 and N-6 Polyunsaturated Fatty Acid Intake in European Countries in Light of the Current Recommendations - Focus on Specific Population Groups","translated_title":"","metadata":{"abstract":"\u0026lt;b\u0026gt;\u0026lt;i\u0026gt;Background:\u0026lt;/i\u0026gt;\u0026lt;/b\u0026gt; Earlier reviews indicated that in many countries adults, children and adolescents consume on an average less polyunsaturated fatty acids (PUFAs) than recommended by the Food and Agriculture Organisation/World Health Organisation. \u0026lt;b\u0026gt;\u0026lt;i\u0026gt;Summary:\u0026lt;/i\u0026gt;\u0026lt;/b\u0026gt; The intake of total and individual n-3 and n-6 PUFAs in European infants, children, adolescents, elderly and pregnant/lactating women was evaluated systematically. \u0026lt;b\u0026gt;\u0026lt;i\u0026gt;Results:\u0026lt;/i\u0026gt;\u0026lt;/b\u0026gt; The evaluations were done against recommendations of the European Food Safety Authority. \u0026lt;b\u0026gt;\u0026lt;i\u0026gt;Key Messages:\u0026lt;/i\u0026gt;\u0026lt;/b\u0026gt; Fifty-three studies from 17 different European countries reported an intake of total n-3 and n-6 PUFAs and/or individual n-3 or n-6 PUFAs in at least one of the specific population groups: 10 in pregnant women, 4 in lactating women, 3 in infants 6-12 months, 6 in children 1-3 years, 11 in children 4-9 years, 8 in adolescents 10-18 years and 11 in elderly \u0026amp;gt;65 years. 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") if (false) { Aedu.setUpFigureCarousel('profile-work-128506284-figures'); } }); </script> <div class="js-work-strip profile--work_container" data-work-id="128506283"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/128506283/_Effects_of_intra_partum_stress_on_lipid_metabolism_Adaptation_of_plasma_lipid_transport_systems_in_neonates_"><img alt="Research paper thumbnail of [Effects of intra-partum stress on lipid metabolism. Adaptation of plasma lipid transport systems in neonates]" 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">[Effects of intra-partum stress on lipid metabolism. Adaptation of plasma lipid transport systems in neonates]</div><div class="wp-workCard_item"><span>PubMed</span><span>, Sep 1, 1990</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Intrapartum asphyxia modifies lipoprotein cholesterol distribution with possible repercussions re...</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">Intrapartum asphyxia modifies lipoprotein cholesterol distribution with possible repercussions related to membrane structures and its metabolic functions. We have studied plasma lipid profile and plasma lipoproteins cholesterol distribution in cord blood from 115 newborn infants and 72 pregnant women at delivery. Results and discussion: newborn infants with perinatal asphyxia (n, 48; pHua less than 7.20) have a higher cord blood triglyceridemia and lower plasma HDL-cholesterol, associated to high significant concentrations of atherogenic ratios (CT/HDLc, LDLc/HDLc) than normal newborn infants (n, 67; pHua = 7.20) [TG, 54.81 +/- 2.96 mg/dl vs 45.74 +/- 2.10 mg/dl (p less than 0.005); CT/HDLc, 24.00 +/- 1.30 mg/dl vs 29.62 +/- 1.12 mg/dl (p less than 0.05); LDLc/HDLc, 1.38 +/- 0.10 vs 1.07 +/- 0.06 (p less than 0.01)]. The highest triglycemia and atherogenic ratios in the acidotic newborn infants reveal deep changes in "esterified cholesterol/binding proteins" system, whereon "Apo A1-LCAT-Apo D" molecular complex binding HDL participate. More studies must be done to understand well this phenomenology. Furthermore, at delivery, pregnant women, that their newborn infants suffer an intrapartum hypoxia, had lower lipidemia than those who had newborn infants with intrapartum physiological stress.</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="128506283"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="128506283"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 128506283; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=128506283]").text(description); $(".js-view-count[data-work-id=128506283]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 128506283; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='128506283']"); 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></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.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" } } $('.js-work-strip[data-work-id=128506283]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":128506283,"title":"[Effects of intra-partum stress on lipid metabolism. Adaptation of plasma lipid transport systems in neonates]","translated_title":"","metadata":{"abstract":"Intrapartum asphyxia modifies lipoprotein cholesterol distribution with possible repercussions related to membrane structures and its metabolic functions. We have studied plasma lipid profile and plasma lipoproteins cholesterol distribution in cord blood from 115 newborn infants and 72 pregnant women at delivery. Results and discussion: newborn infants with perinatal asphyxia (n, 48; pHua less than 7.20) have a higher cord blood triglyceridemia and lower plasma HDL-cholesterol, associated to high significant concentrations of atherogenic ratios (CT/HDLc, LDLc/HDLc) than normal newborn infants (n, 67; pHua = 7.20) [TG, 54.81 +/- 2.96 mg/dl vs 45.74 +/- 2.10 mg/dl (p less than 0.005); CT/HDLc, 24.00 +/- 1.30 mg/dl vs 29.62 +/- 1.12 mg/dl (p less than 0.05); LDLc/HDLc, 1.38 +/- 0.10 vs 1.07 +/- 0.06 (p less than 0.01)]. The highest triglycemia and atherogenic ratios in the acidotic newborn infants reveal deep changes in \"esterified cholesterol/binding proteins\" system, whereon \"Apo A1-LCAT-Apo D\" molecular complex binding HDL participate. More studies must be done to understand well this phenomenology. Furthermore, at delivery, pregnant women, that their newborn infants suffer an intrapartum hypoxia, had lower lipidemia than those who had newborn infants with intrapartum physiological stress.","publication_date":{"day":1,"month":9,"year":1990,"errors":{}},"publication_name":"PubMed"},"translated_abstract":"Intrapartum asphyxia modifies lipoprotein cholesterol distribution with possible repercussions related to membrane structures and its metabolic functions. We have studied plasma lipid profile and plasma lipoproteins cholesterol distribution in cord blood from 115 newborn infants and 72 pregnant women at delivery. Results and discussion: newborn infants with perinatal asphyxia (n, 48; pHua less than 7.20) have a higher cord blood triglyceridemia and lower plasma HDL-cholesterol, associated to high significant concentrations of atherogenic ratios (CT/HDLc, LDLc/HDLc) than normal newborn infants (n, 67; pHua = 7.20) [TG, 54.81 +/- 2.96 mg/dl vs 45.74 +/- 2.10 mg/dl (p less than 0.005); CT/HDLc, 24.00 +/- 1.30 mg/dl vs 29.62 +/- 1.12 mg/dl (p less than 0.05); LDLc/HDLc, 1.38 +/- 0.10 vs 1.07 +/- 0.06 (p less than 0.01)]. The highest triglycemia and atherogenic ratios in the acidotic newborn infants reveal deep changes in \"esterified cholesterol/binding proteins\" system, whereon \"Apo A1-LCAT-Apo D\" molecular complex binding HDL participate. More studies must be done to understand well this phenomenology. Furthermore, at delivery, pregnant women, that their newborn infants suffer an intrapartum hypoxia, had lower lipidemia than those who had newborn infants with intrapartum physiological stress.","internal_url":"https://www.academia.edu/128506283/_Effects_of_intra_partum_stress_on_lipid_metabolism_Adaptation_of_plasma_lipid_transport_systems_in_neonates_","translated_internal_url":"","created_at":"2025-03-29T17:25:42.103-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":33136580,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[],"slug":"_Effects_of_intra_partum_stress_on_lipid_metabolism_Adaptation_of_plasma_lipid_transport_systems_in_neonates_","translated_slug":"","page_count":null,"language":"en","content_type":"Work","summary":"Intrapartum asphyxia modifies lipoprotein cholesterol distribution with possible repercussions related to membrane structures and its metabolic functions. We have studied plasma lipid profile and plasma lipoproteins cholesterol distribution in cord blood from 115 newborn infants and 72 pregnant women at delivery. Results and discussion: newborn infants with perinatal asphyxia (n, 48; pHua less than 7.20) have a higher cord blood triglyceridemia and lower plasma HDL-cholesterol, associated to high significant concentrations of atherogenic ratios (CT/HDLc, LDLc/HDLc) than normal newborn infants (n, 67; pHua = 7.20) [TG, 54.81 +/- 2.96 mg/dl vs 45.74 +/- 2.10 mg/dl (p less than 0.005); CT/HDLc, 24.00 +/- 1.30 mg/dl vs 29.62 +/- 1.12 mg/dl (p less than 0.05); LDLc/HDLc, 1.38 +/- 0.10 vs 1.07 +/- 0.06 (p less than 0.01)]. The highest triglycemia and atherogenic ratios in the acidotic newborn infants reveal deep changes in \"esterified cholesterol/binding proteins\" system, whereon \"Apo A1-LCAT-Apo D\" molecular complex binding HDL participate. More studies must be done to understand well this phenomenology. Furthermore, at delivery, pregnant women, that their newborn infants suffer an intrapartum hypoxia, had lower lipidemia than those who had newborn infants with intrapartum physiological stress.","owner":{"id":33136580,"first_name":"Cristina","middle_initials":null,"last_name":"Campoy","page_name":"CFolgoso","domain_name":"granada","created_at":"2015-07-17T04:55:47.128-07:00","display_name":"Cristina Campoy","url":"https://granada.academia.edu/CFolgoso"},"attachments":[],"research_interests":[{"id":154,"name":"Endocrinology","url":"https://www.academia.edu/Documents/in/Endocrinology"},{"id":26327,"name":"Medicine","url":"https://www.academia.edu/Documents/in/Medicine"},{"id":52055,"name":"Lipids","url":"https://www.academia.edu/Documents/in/Lipids"},{"id":62550,"name":"Pregnancy","url":"https://www.academia.edu/Documents/in/Pregnancy"},{"id":65390,"name":"Internal Medicine","url":"https://www.academia.edu/Documents/in/Internal_Medicine"},{"id":88839,"name":"Cord Blood","url":"https://www.academia.edu/Documents/in/Cord_Blood"},{"id":90514,"name":"Cholesterol","url":"https://www.academia.edu/Documents/in/Cholesterol"},{"id":98939,"name":"Pubmed","url":"https://www.academia.edu/Documents/in/Pubmed"},{"id":184609,"name":"Lipid metabolism","url":"https://www.academia.edu/Documents/in/Lipid_metabolism"},{"id":227299,"name":"Triglycerides","url":"https://www.academia.edu/Documents/in/Triglycerides"},{"id":253560,"name":"Newborn Infant","url":"https://www.academia.edu/Documents/in/Newborn_Infant"},{"id":1554834,"name":"Asphyxia neonatorum","url":"https://www.academia.edu/Documents/in/Asphyxia_neonatorum"},{"id":3298723,"name":"Asphyxia","url":"https://www.academia.edu/Documents/in/Asphyxia"},{"id":3647007,"name":"Stress Physiological","url":"https://www.academia.edu/Documents/in/Stress_Physiological"}],"urls":[{"id":47337710,"url":"https://pubmed.ncbi.nlm.nih.gov/2285189"}]}, dispatcherData: dispatcherData }); 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") if (false) { Aedu.setUpFigureCarousel('profile-work-128506279-figures'); } }); </script> <div class="js-work-strip profile--work_container" data-work-id="128506278"><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/128506278/Maternal_obesity_and_gestational_diabetes_alter_fatty_acids_during_pregnancy_the_preobe_follow_up"><img alt="Research paper thumbnail of Maternal obesity and gestational diabetes alter fatty acids during pregnancy – the preobe follow up" class="work-thumbnail" src="https://attachments.academia-assets.com/122076394/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/128506278/Maternal_obesity_and_gestational_diabetes_alter_fatty_acids_during_pregnancy_the_preobe_follow_up">Maternal obesity and gestational diabetes alter fatty acids during pregnancy – the preobe follow up</a></div><div class="wp-workCard_item"><span>Clinical Nutrition</span><span>, Sep 1, 2018</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">food records. Data were analyzed using independent t-tests, Fisher's exact test and Pearson's cor...</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">food records. Data were analyzed using independent t-tests, Fisher's exact test and Pearson's correlations coefficients. Results: 37 genetically proven MD-patients (78% m.3243A>G mutation, 42±12 years, BMI: 22.5 kg/m 2 95%>CI:21.3-23.7, 41% male) and 37 matched HC were included. More patients were classified as sarcopenic than HC (27% vs. 0%; p¼0.001). Compared with HC, patients had a shorter statue (1.71±1.0 m vs. 1.76±0.9 m; p¼0.04), lower bodyweight (66.6±12.3 kg vs. 72.2±8.9 kg; p¼0.01), lower ASM (17.7±4.0 kg vs. 19.8±3.8 kg; p¼0.02), lower HGS (28±9.7 kg vs. 42.6±8.7 kg; p<0.001), and lower protein intake (1.07 g/kg/d 95%>CI:0.95-1.20 vs. 1.27 g/kg/d 95%>CI: 1.14-1.41; p¼0.03). No difference appeared in SMI. HGS was related to SMI in both patients (r¼0.34; p¼0.04) and HC (r¼0.75; p<0.001), whereas it correlated with protein intake in patients solely (r¼0.39; p¼0.02). No relation was found between SMI and protein intake. Conclusion: MD-patients have decreased physical functioning measured by HGS, which is related with lower muscle mass and lower protein intake. Although SMI does not differ, the higher prevalence of sarcopenia warrants supporting protein intake through nutritional guidance in MD-patients.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="0765e6af40feb8327566e21529760ac8" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":122076394,"asset_id":128506278,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/122076394/download_file?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="128506278"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="128506278"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 128506278; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=128506278]").text(description); $(".js-view-count[data-work-id=128506278]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 128506278; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='128506278']"); 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></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.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: "0765e6af40feb8327566e21529760ac8" } } $('.js-work-strip[data-work-id=128506278]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":128506278,"title":"Maternal obesity and gestational diabetes alter fatty acids during pregnancy – the preobe follow up","translated_title":"","metadata":{"publisher":"Elsevier BV","grobid_abstract":"food records. Data were analyzed using independent t-tests, Fisher's exact test and Pearson's correlations coefficients. Results: 37 genetically proven MD-patients (78% m.3243A\u003eG mutation, 42±12 years, BMI: 22.5 kg/m 2 95%\u003eCI:21.3-23.7, 41% male) and 37 matched HC were included. More patients were classified as sarcopenic than HC (27% vs. 0%; p¼0.001). Compared with HC, patients had a shorter statue (1.71±1.0 m vs. 1.76±0.9 m; p¼0.04), lower bodyweight (66.6±12.3 kg vs. 72.2±8.9 kg; p¼0.01), lower ASM (17.7±4.0 kg vs. 19.8±3.8 kg; p¼0.02), lower HGS (28±9.7 kg vs. 42.6±8.7 kg; p\u003c0.001), and lower protein intake (1.07 g/kg/d 95%\u003eCI:0.95-1.20 vs. 1.27 g/kg/d 95%\u003eCI: 1.14-1.41; p¼0.03). No difference appeared in SMI. HGS was related to SMI in both patients (r¼0.34; p¼0.04) and HC (r¼0.75; p\u003c0.001), whereas it correlated with protein intake in patients solely (r¼0.39; p¼0.02). No relation was found between SMI and protein intake. Conclusion: MD-patients have decreased physical functioning measured by HGS, which is related with lower muscle mass and lower protein intake. Although SMI does not differ, the higher prevalence of sarcopenia warrants supporting protein intake through nutritional guidance in MD-patients.","publication_date":{"day":1,"month":9,"year":2018,"errors":{}},"publication_name":"Clinical Nutrition","grobid_abstract_attachment_id":122076394},"translated_abstract":null,"internal_url":"https://www.academia.edu/128506278/Maternal_obesity_and_gestational_diabetes_alter_fatty_acids_during_pregnancy_the_preobe_follow_up","translated_internal_url":"","created_at":"2025-03-29T17:25:40.332-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":33136580,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":122076394,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/122076394/thumbnails/1.jpg","file_name":"j.clnu.2018.06.202520250330-1-6ekez6.pdf","download_url":"https://www.academia.edu/attachments/122076394/download_file","bulk_download_file_name":"Maternal_obesity_and_gestational_diabete.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/122076394/j.clnu.2018.06.202520250330-1-6ekez6-libre.pdf?1743295238=\u0026response-content-disposition=attachment%3B+filename%3DMaternal_obesity_and_gestational_diabete.pdf\u0026Expires=1743325713\u0026Signature=W4LBJqHQD5o-JKtSL0BSEIfDGo8SUi41bxxb3UyMR0ME0W1X7npAgXiHeKmMoKzRmQZGoDPuqwRrqxFYJXp6D5FbM1pgUcjcUebSJrAsUn7wF-DeP5WUeJpoO4VSYqtu~q7N~5m4Yd1RaPbgSooJZ9AFnO33eOWZfUEI1xJCoBIjAxdqZr9Bcpl6aLuZYm4zE4G2NU57WMmDCOSKJBgb~J5d~2ZamJuLdtrMrX4zMdhc-6Jewisc0~PPp0YVJbqA~kxHJA~f9KVBrvFnQwLlQG8CAG5Z0mvH-6D5w4R6qI1LHtHH90qKjjS~zIq0OeEIXVxBEqV32LMvfMU~QnQ~qA__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"Maternal_obesity_and_gestational_diabetes_alter_fatty_acids_during_pregnancy_the_preobe_follow_up","translated_slug":"","page_count":1,"language":"en","content_type":"Work","summary":"food records. Data were analyzed using independent t-tests, Fisher's exact test and Pearson's correlations coefficients. Results: 37 genetically proven MD-patients (78% m.3243A\u003eG mutation, 42±12 years, BMI: 22.5 kg/m 2 95%\u003eCI:21.3-23.7, 41% male) and 37 matched HC were included. More patients were classified as sarcopenic than HC (27% vs. 0%; p¼0.001). Compared with HC, patients had a shorter statue (1.71±1.0 m vs. 1.76±0.9 m; p¼0.04), lower bodyweight (66.6±12.3 kg vs. 72.2±8.9 kg; p¼0.01), lower ASM (17.7±4.0 kg vs. 19.8±3.8 kg; p¼0.02), lower HGS (28±9.7 kg vs. 42.6±8.7 kg; p\u003c0.001), and lower protein intake (1.07 g/kg/d 95%\u003eCI:0.95-1.20 vs. 1.27 g/kg/d 95%\u003eCI: 1.14-1.41; p¼0.03). No difference appeared in SMI. HGS was related to SMI in both patients (r¼0.34; p¼0.04) and HC (r¼0.75; p\u003c0.001), whereas it correlated with protein intake in patients solely (r¼0.39; p¼0.02). No relation was found between SMI and protein intake. Conclusion: MD-patients have decreased physical functioning measured by HGS, which is related with lower muscle mass and lower protein intake. Although SMI does not differ, the higher prevalence of sarcopenia warrants supporting protein intake through nutritional guidance in MD-patients.","owner":{"id":33136580,"first_name":"Cristina","middle_initials":null,"last_name":"Campoy","page_name":"CFolgoso","domain_name":"granada","created_at":"2015-07-17T04:55:47.128-07:00","display_name":"Cristina Campoy","url":"https://granada.academia.edu/CFolgoso"},"attachments":[{"id":122076394,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/122076394/thumbnails/1.jpg","file_name":"j.clnu.2018.06.202520250330-1-6ekez6.pdf","download_url":"https://www.academia.edu/attachments/122076394/download_file","bulk_download_file_name":"Maternal_obesity_and_gestational_diabete.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/122076394/j.clnu.2018.06.202520250330-1-6ekez6-libre.pdf?1743295238=\u0026response-content-disposition=attachment%3B+filename%3DMaternal_obesity_and_gestational_diabete.pdf\u0026Expires=1743325713\u0026Signature=W4LBJqHQD5o-JKtSL0BSEIfDGo8SUi41bxxb3UyMR0ME0W1X7npAgXiHeKmMoKzRmQZGoDPuqwRrqxFYJXp6D5FbM1pgUcjcUebSJrAsUn7wF-DeP5WUeJpoO4VSYqtu~q7N~5m4Yd1RaPbgSooJZ9AFnO33eOWZfUEI1xJCoBIjAxdqZr9Bcpl6aLuZYm4zE4G2NU57WMmDCOSKJBgb~J5d~2ZamJuLdtrMrX4zMdhc-6Jewisc0~PPp0YVJbqA~kxHJA~f9KVBrvFnQwLlQG8CAG5Z0mvH-6D5w4R6qI1LHtHH90qKjjS~zIq0OeEIXVxBEqV32LMvfMU~QnQ~qA__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":154,"name":"Endocrinology","url":"https://www.academia.edu/Documents/in/Endocrinology"},{"id":591,"name":"Nutrition and Dietetics","url":"https://www.academia.edu/Documents/in/Nutrition_and_Dietetics"},{"id":3851,"name":"Obesity","url":"https://www.academia.edu/Documents/in/Obesity"},{"id":26327,"name":"Medicine","url":"https://www.academia.edu/Documents/in/Medicine"},{"id":58130,"name":"Gestational diabetes","url":"https://www.academia.edu/Documents/in/Gestational_diabetes"},{"id":59614,"name":"Clinical Nutrition","url":"https://www.academia.edu/Documents/in/Clinical_Nutrition"},{"id":62550,"name":"Pregnancy","url":"https://www.academia.edu/Documents/in/Pregnancy"},{"id":65390,"name":"Internal Medicine","url":"https://www.academia.edu/Documents/in/Internal_Medicine"},{"id":71511,"name":"Diabetes mellitus","url":"https://www.academia.edu/Documents/in/Diabetes_mellitus"},{"id":770944,"name":"Fetus","url":"https://www.academia.edu/Documents/in/Fetus"}],"urls":[{"id":47337705,"url":"https://doi.org/10.1016/j.clnu.2018.06.2025"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") if (false) { Aedu.setUpFigureCarousel('profile-work-128506278-figures'); } }); </script> <div class="js-work-strip profile--work_container" data-work-id="128506277"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/128506277/LC_PUFAs_im_Kolostrum_und_mRNA_Expression_von_Th1_Th2_assoziierten_Markern_im_Nabelschnurblut_und_m%C3%BCtterlichen_Blut"><img alt="Research paper thumbnail of LC-PUFAs im Kolostrum und mRNA-Expression von Th1-/Th2-assoziierten Markern im Nabelschnurblut und mütterlichen Blut" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title">LC-PUFAs im Kolostrum und mRNA-Expression von Th1-/Th2-assoziierten Markern im Nabelschnurblut und mütterlichen Blut</div><div class="wp-workCard_item"><span>Aktuelle Ernährungsmedizin</span><span>, Apr 19, 2004</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="128506277"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="128506277"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 128506277; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=128506277]").text(description); $(".js-view-count[data-work-id=128506277]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 128506277; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='128506277']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") if (false) { Aedu.setUpFigureCarousel('profile-work-128506277-figures'); } }); </script> <div class="js-work-strip profile--work_container" data-work-id="128506276"><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/128506276/Behavioral_predictors_of_attrition_in_adolescents_participating_in_a_multidisciplinary_obesity_treatment_program_EVASYON_study"><img alt="Research paper thumbnail of Behavioral predictors of attrition in adolescents participating in a multidisciplinary obesity treatment program: EVASYON study" class="work-thumbnail" src="https://attachments.academia-assets.com/122076401/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/128506276/Behavioral_predictors_of_attrition_in_adolescents_participating_in_a_multidisciplinary_obesity_treatment_program_EVASYON_study">Behavioral predictors of attrition in adolescents participating in a multidisciplinary obesity treatment program: EVASYON study</a></div><div class="wp-workCard_item"><span>International Journal of Obesity</span><span>, Sep 18, 2015</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">The aims of this study were to identify the cognitive and behavioral predictors of dropping out a...</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 aims of this study were to identify the cognitive and behavioral predictors of dropping out and to estimate the attrition rate during different phases of an intervention program to treat overweight and obesity in adolescents. Overweight/obese adolescents (n = 156, aged: 13-16 years; 71 male and 85 female subjects) were included in a multicomponent (diet, physical activity and psychological support) family-based group treatment program. At baseline and after 2 months (intensive phase) and 13 months (extensive phase) of follow-up, we measured adolescents' cognitive and behavioral dimensions, together with the parents' perception of their child's behavior. Of the 156 adolescents selected, 112 completed the full program (drop-out rate of 28.2%). The risk of dropping out during the extensive phase increased by 20% for each unit increase in the adolescent's social insecurity score (odds ratio = 1.20, 95% confidence interval = 1.07-1.34, P = 0.002). The adolescents who had a high interoceptive awareness showed a significant decrease of 13.0% in the probability of dropping out (odds ratio = 0.87, 95% confidence interval = 0.77-0.99, P = 0.040). Adolescents' social insecurity was the main predictor of drop-out in a multicomponent family-group-based obesity treatment program. To reduce attrition rates in these programs, the individual's social insecurity level needs to be reduced, whereas the family's awareness of eating-related behavior needs adjustment.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="e9c78d39577b49b356179b9b64ad3146" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":122076401,"asset_id":128506276,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/122076401/download_file?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="128506276"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="128506276"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 128506276; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=128506276]").text(description); $(".js-view-count[data-work-id=128506276]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 128506276; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='128506276']"); 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></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.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: "e9c78d39577b49b356179b9b64ad3146" } } $('.js-work-strip[data-work-id=128506276]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":128506276,"title":"Behavioral predictors of attrition in adolescents participating in a multidisciplinary obesity treatment program: EVASYON study","translated_title":"","metadata":{"publisher":"Nature Portfolio","grobid_abstract":"The aims of this study were to identify the cognitive and behavioral predictors of dropping out and to estimate the attrition rate during different phases of an intervention program to treat overweight and obesity in adolescents. 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") if (false) { Aedu.setUpFigureCarousel('profile-work-128506276-figures'); } }); </script> <div class="js-work-strip profile--work_container" data-work-id="128506275"><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/128506275/ESPGHAN_ESPEN_ESPR_CSPEN_guidelines_on_pediatric_parenteral_nutrition_Lipids"><img alt="Research paper thumbnail of ESPGHAN/ESPEN/ESPR/CSPEN guidelines on pediatric parenteral nutrition: Lipids" class="work-thumbnail" src="https://attachments.academia-assets.com/122076398/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/128506275/ESPGHAN_ESPEN_ESPR_CSPEN_guidelines_on_pediatric_parenteral_nutrition_Lipids">ESPGHAN/ESPEN/ESPR/CSPEN guidelines on pediatric parenteral nutrition: Lipids</a></div><div class="wp-workCard_item"><span>Clinical Nutrition</span><span>, Dec 1, 2018</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Literature search timeframe: The references cited in the previous guidelines are not repeated her...</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">Literature search timeframe: The references cited in the previous guidelines are not repeated here, except for some relevant publications, and only the previous guidelines are cited instead. All publications published after the previous guidelines (i.e., from January 2004 to December 2014), have been considered for the first draft of this manuscript. Randomized controlled trials (RCTs), review articles, prospective studies and meta-analyses published in 2015 and 2016, during the revision process, have also been considered. Type of publications: Original papers, meta-analyses and reviews.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="e3cdbb9f23b279dfc6cde5056c107094" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":122076398,"asset_id":128506275,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/122076398/download_file?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="128506275"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="128506275"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 128506275; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=128506275]").text(description); $(".js-view-count[data-work-id=128506275]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 128506275; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='128506275']"); 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></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.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: "e3cdbb9f23b279dfc6cde5056c107094" } } $('.js-work-strip[data-work-id=128506275]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":128506275,"title":"ESPGHAN/ESPEN/ESPR/CSPEN guidelines on pediatric parenteral nutrition: Lipids","translated_title":"","metadata":{"publisher":"Elsevier BV","grobid_abstract":"Literature search timeframe: The references cited in the previous guidelines are not repeated here, except for some relevant publications, and only the previous guidelines are cited instead. 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") if (false) { Aedu.setUpFigureCarousel('profile-work-128506275-figures'); } }); </script> <div class="js-work-strip profile--work_container" data-work-id="128506274"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/128506274/Factors_Affecting_Food_Choices_of_Parents_of_Children_Aged_4_10_Years_in_Four_European_Countries"><img alt="Research paper thumbnail of Factors Affecting Food Choices of Parents of Children Aged 4-10 Years in Four European Countries" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title">Factors Affecting Food Choices of Parents of Children Aged 4-10 Years in Four European Countries</div><div class="wp-workCard_item"><span>Annals of Nutrition and Metabolism</span><span>, 2013</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="128506274"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="128506274"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 128506274; 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") if (false) { Aedu.setUpFigureCarousel('profile-work-128506274-figures'); } }); </script> <div class="js-work-strip profile--work_container" data-work-id="128506273"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/128506273/Quantitative_Study_of_Spanish_Parents_Beliefs_of_What_Effects_Childrens_Mental_Performance"><img alt="Research paper thumbnail of Quantitative Study of Spanish Parents Beliefs of What Effects Children's Mental Performance" 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">Quantitative Study of Spanish Parents Beliefs of What Effects Children's Mental Performance</div><div class="wp-workCard_item"><span>Journal of Pediatric Gastroenterology and Nutrition</span><span>, Jun 1, 2010</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Objectives and Study: Parents have a direct influence on the food choices presented to children i...</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">Objectives and Study: Parents have a direct influence on the food choices presented to children in the home. Thinking of what parents consider when choosing foood for their children it is important to know what factors they perceive to influence a child’s cognitive development and mental performance. Parents play a very important role in the development of children food choices and eating habits which may in turn influence children’s future health positively or negatively. The present study aims to quantitatively examine parents’ understanding of the factors influencing children’s mental performance. Methods: The study was conducted in Spain and participants were parents of children aged 4–10 years recruited through state elementary schools. A card sorting task was developed and used to conduct interviews with a total of 50 parents. Parents were asked about five different group of influencing factors: Biological, Educational, Social, Environmental and Psychological (18 factors in total), factors were based on evidence from scientific literature. Mental performance was defined in terms of Attention, Learning, Mood and Behavior Parents were asked to rate the effect of each factor as strong, moderate or no effects on child’s mental development in relation to each of the chosen aspects of mental performance. Responses were recorded manually, coded and group analysed using Friedman test and Cronbach Alpha test with the SPSS version 15.0. Results: The Friedman test for the general analysis show that factors that have a strong effect on mental performance for the participant were ‘‘School discipline’’, ‘‘Parents education level’’, ‘‘Class size’’, ‘‘Regularity of meals’’ and ‘‘Nutrition as a baby’’ for the four groups of cards colors sorting. Although Mood is considered lower than Attention, Learning and Behavior, all were taking from the strong effects answers groups. The card sorting colors game was tested in the study. Using the Cronbach Alpha test the questions’ homogenity, averaging all correlations between all items, were measured giving a mean value of 95,26/100. Conclusion: Spanish data reveal that parents perceive the Environmental, Social and Educational group of factors as having most influence on children’s mental performance. Mood is valued by the Spanish parents with less responses regarding the strengths compared with Attention, Learning and Behavior, which appear more homogeneous in relation to wich factors have an influence in mental performance. Disclosure of Interest: This study is part of the FP7 Project NUTRIMENTHE Grant agreement n8: 212652.</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="128506273"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="128506273"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 128506273; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=128506273]").text(description); $(".js-view-count[data-work-id=128506273]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 128506273; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='128506273']"); 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></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.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" } } $('.js-work-strip[data-work-id=128506273]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":128506273,"title":"Quantitative Study of Spanish Parents Beliefs of What Effects Children's Mental Performance","translated_title":"","metadata":{"abstract":"Objectives and Study: Parents have a direct influence on the food choices presented to children in the home. Thinking of what parents consider when choosing foood for their children it is important to know what factors they perceive to influence a child’s cognitive development and mental performance. Parents play a very important role in the development of children food choices and eating habits which may in turn influence children’s future health positively or negatively. The present study aims to quantitatively examine parents’ understanding of the factors influencing children’s mental performance. Methods: The study was conducted in Spain and participants were parents of children aged 4–10 years recruited through state elementary schools. A card sorting task was developed and used to conduct interviews with a total of 50 parents. Parents were asked about five different group of influencing factors: Biological, Educational, Social, Environmental and Psychological (18 factors in total), factors were based on evidence from scientific literature. Mental performance was defined in terms of Attention, Learning, Mood and Behavior Parents were asked to rate the effect of each factor as strong, moderate or no effects on child’s mental development in relation to each of the chosen aspects of mental performance. Responses were recorded manually, coded and group analysed using Friedman test and Cronbach Alpha test with the SPSS version 15.0. Results: The Friedman test for the general analysis show that factors that have a strong effect on mental performance for the participant were ‘‘School discipline’’, ‘‘Parents education level’’, ‘‘Class size’’, ‘‘Regularity of meals’’ and ‘‘Nutrition as a baby’’ for the four groups of cards colors sorting. Although Mood is considered lower than Attention, Learning and Behavior, all were taking from the strong effects answers groups. The card sorting colors game was tested in the study. Using the Cronbach Alpha test the questions’ homogenity, averaging all correlations between all items, were measured giving a mean value of 95,26/100. Conclusion: Spanish data reveal that parents perceive the Environmental, Social and Educational group of factors as having most influence on children’s mental performance. Mood is valued by the Spanish parents with less responses regarding the strengths compared with Attention, Learning and Behavior, which appear more homogeneous in relation to wich factors have an influence in mental performance. Disclosure of Interest: This study is part of the FP7 Project NUTRIMENTHE Grant agreement n8: 212652.","publisher":"Lippincott Williams \u0026 Wilkins","publication_date":{"day":1,"month":6,"year":2010,"errors":{}},"publication_name":"Journal of Pediatric Gastroenterology and Nutrition"},"translated_abstract":"Objectives and Study: Parents have a direct influence on the food choices presented to children in the home. Thinking of what parents consider when choosing foood for their children it is important to know what factors they perceive to influence a child’s cognitive development and mental performance. Parents play a very important role in the development of children food choices and eating habits which may in turn influence children’s future health positively or negatively. The present study aims to quantitatively examine parents’ understanding of the factors influencing children’s mental performance. Methods: The study was conducted in Spain and participants were parents of children aged 4–10 years recruited through state elementary schools. A card sorting task was developed and used to conduct interviews with a total of 50 parents. Parents were asked about five different group of influencing factors: Biological, Educational, Social, Environmental and Psychological (18 factors in total), factors were based on evidence from scientific literature. Mental performance was defined in terms of Attention, Learning, Mood and Behavior Parents were asked to rate the effect of each factor as strong, moderate or no effects on child’s mental development in relation to each of the chosen aspects of mental performance. Responses were recorded manually, coded and group analysed using Friedman test and Cronbach Alpha test with the SPSS version 15.0. Results: The Friedman test for the general analysis show that factors that have a strong effect on mental performance for the participant were ‘‘School discipline’’, ‘‘Parents education level’’, ‘‘Class size’’, ‘‘Regularity of meals’’ and ‘‘Nutrition as a baby’’ for the four groups of cards colors sorting. Although Mood is considered lower than Attention, Learning and Behavior, all were taking from the strong effects answers groups. The card sorting colors game was tested in the study. Using the Cronbach Alpha test the questions’ homogenity, averaging all correlations between all items, were measured giving a mean value of 95,26/100. Conclusion: Spanish data reveal that parents perceive the Environmental, Social and Educational group of factors as having most influence on children’s mental performance. Mood is valued by the Spanish parents with less responses regarding the strengths compared with Attention, Learning and Behavior, which appear more homogeneous in relation to wich factors have an influence in mental performance. Disclosure of Interest: This study is part of the FP7 Project NUTRIMENTHE Grant agreement n8: 212652.","internal_url":"https://www.academia.edu/128506273/Quantitative_Study_of_Spanish_Parents_Beliefs_of_What_Effects_Childrens_Mental_Performance","translated_internal_url":"","created_at":"2025-03-29T17:25:38.135-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":33136580,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[],"slug":"Quantitative_Study_of_Spanish_Parents_Beliefs_of_What_Effects_Childrens_Mental_Performance","translated_slug":"","page_count":null,"language":"en","content_type":"Work","summary":"Objectives and Study: Parents have a direct influence on the food choices presented to children in the home. Thinking of what parents consider when choosing foood for their children it is important to know what factors they perceive to influence a child’s cognitive development and mental performance. Parents play a very important role in the development of children food choices and eating habits which may in turn influence children’s future health positively or negatively. The present study aims to quantitatively examine parents’ understanding of the factors influencing children’s mental performance. Methods: The study was conducted in Spain and participants were parents of children aged 4–10 years recruited through state elementary schools. A card sorting task was developed and used to conduct interviews with a total of 50 parents. Parents were asked about five different group of influencing factors: Biological, Educational, Social, Environmental and Psychological (18 factors in total), factors were based on evidence from scientific literature. Mental performance was defined in terms of Attention, Learning, Mood and Behavior Parents were asked to rate the effect of each factor as strong, moderate or no effects on child’s mental development in relation to each of the chosen aspects of mental performance. Responses were recorded manually, coded and group analysed using Friedman test and Cronbach Alpha test with the SPSS version 15.0. Results: The Friedman test for the general analysis show that factors that have a strong effect on mental performance for the participant were ‘‘School discipline’’, ‘‘Parents education level’’, ‘‘Class size’’, ‘‘Regularity of meals’’ and ‘‘Nutrition as a baby’’ for the four groups of cards colors sorting. Although Mood is considered lower than Attention, Learning and Behavior, all were taking from the strong effects answers groups. The card sorting colors game was tested in the study. Using the Cronbach Alpha test the questions’ homogenity, averaging all correlations between all items, were measured giving a mean value of 95,26/100. Conclusion: Spanish data reveal that parents perceive the Environmental, Social and Educational group of factors as having most influence on children’s mental performance. Mood is valued by the Spanish parents with less responses regarding the strengths compared with Attention, Learning and Behavior, which appear more homogeneous in relation to wich factors have an influence in mental performance. Disclosure of Interest: This study is part of the FP7 Project NUTRIMENTHE Grant agreement n8: 212652.","owner":{"id":33136580,"first_name":"Cristina","middle_initials":null,"last_name":"Campoy","page_name":"CFolgoso","domain_name":"granada","created_at":"2015-07-17T04:55:47.128-07:00","display_name":"Cristina Campoy","url":"https://granada.academia.edu/CFolgoso"},"attachments":[],"research_interests":[{"id":221,"name":"Psychology","url":"https://www.academia.edu/Documents/in/Psychology"},{"id":252,"name":"Developmental Psychology","url":"https://www.academia.edu/Documents/in/Developmental_Psychology"},{"id":2827,"name":"Mental Health","url":"https://www.academia.edu/Documents/in/Mental_Health"},{"id":45293,"name":"Mood","url":"https://www.academia.edu/Documents/in/Mood"}],"urls":[{"id":47337700,"url":"https://openresearch.surrey.ac.uk/esploro/outputs/conferencePresentation/QUANTITATIVE-STUDY-OF-SPANISH-PARENTS-BELIEFS-OF-WHAT-EFFECTS-CHILDRENS-MENTAL-PERFORMANCE/99516875102346"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") if (false) { Aedu.setUpFigureCarousel('profile-work-128506273-figures'); } }); </script> <div class="js-work-strip profile--work_container" data-work-id="128506272"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/128506272/Effect_of_food_on_learning_views_of_parents_in_four_European_countries"><img alt="Research paper thumbnail of Effect of food on learning: views of parents in four European countries" 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">Effect of food on learning: views of parents in four European countries</div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Introduction: Nutrition is one of many factors influencing a child’s learning abilitiy. Objective...</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">Introduction: Nutrition is one of many factors influencing a child’s learning abilitiy. Objectives: This study aims to assess parents’ views on the effect of food on children’s ability to learn in four European countries (England, Germany, Hungary, Spain). Method. Design: Parents of children aged 4 to 10 years were recruited through state elementary schools. Participants were asked to sort 18 cards representing possible determinants of learning (in 6 categories: 4 food related, 3 educational, 2 physical, 4 social, 2 psychological, 3 biological) according to their views about strength of effect. Determinants were identified from the literature. Effects were scored: 0=none; 1=moderate; 2=strong. Results: 201 parents took part. There were no significant differences among countries in age, gender, number of children of participants. Higher proportions of parents in England and Germany had received university education than in the other countries (p=0.015); significantly fewer parents in Spain were in employment (p&lt;0.001). Taking all countries together, respondents felt that physical (sleep and activity), psychological (mood and behavior) and educational (class size, teaching quality, school discipline) determinants had the largest effects on learning (means 1.72, 1.71, 1.63, respectively). Social (birth order, income, parent’s education, stimulation at home) and biological determinants (birth weight, IQ, genetic factors) had the lowest effect (1.20, 1.06). Food determinants were ranked 4th out of 6 categories (mean 1.34). Within the food category, regular meals (and nutrition as a baby) are the most (and least) important determinants (1.59, 1.06, respectively). Food at school (1.37) and a child’s current diet (1.36) were intermediate. Responses from parents in Spain on some food determinants differed significantly from those of parents in the other countries. Conclusions: Parents do not perceive food as a major determinant of learning in children; better formulated and targeted communication with parents is needed. Supported by the European Communities 7th Framework Programme (NUTRIMENTHE Grant agreement number: 212652).</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="128506272"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="128506272"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 128506272; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=128506272]").text(description); $(".js-view-count[data-work-id=128506272]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 128506272; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='128506272']"); 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></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.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" } } $('.js-work-strip[data-work-id=128506272]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":128506272,"title":"Effect of food on learning: views of parents in four European countries","translated_title":"","metadata":{"abstract":"Introduction: Nutrition is one of many factors influencing a child’s learning abilitiy. Objectives: This study aims to assess parents’ views on the effect of food on children’s ability to learn in four European countries (England, Germany, Hungary, Spain). Method. Design: Parents of children aged 4 to 10 years were recruited through state elementary schools. Participants were asked to sort 18 cards representing possible determinants of learning (in 6 categories: 4 food related, 3 educational, 2 physical, 4 social, 2 psychological, 3 biological) according to their views about strength of effect. Determinants were identified from the literature. Effects were scored: 0=none; 1=moderate; 2=strong. Results: 201 parents took part. There were no significant differences among countries in age, gender, number of children of participants. Higher proportions of parents in England and Germany had received university education than in the other countries (p=0.015); significantly fewer parents in Spain were in employment (p\u0026lt;0.001). Taking all countries together, respondents felt that physical (sleep and activity), psychological (mood and behavior) and educational (class size, teaching quality, school discipline) determinants had the largest effects on learning (means 1.72, 1.71, 1.63, respectively). Social (birth order, income, parent’s education, stimulation at home) and biological determinants (birth weight, IQ, genetic factors) had the lowest effect (1.20, 1.06). Food determinants were ranked 4th out of 6 categories (mean 1.34). Within the food category, regular meals (and nutrition as a baby) are the most (and least) important determinants (1.59, 1.06, respectively). Food at school (1.37) and a child’s current diet (1.36) were intermediate. Responses from parents in Spain on some food determinants differed significantly from those of parents in the other countries. Conclusions: Parents do not perceive food as a major determinant of learning in children; better formulated and targeted communication with parents is needed. Supported by the European Communities 7th Framework Programme (NUTRIMENTHE Grant agreement number: 212652).","publication_date":{"day":null,"month":null,"year":2011,"errors":{}}},"translated_abstract":"Introduction: Nutrition is one of many factors influencing a child’s learning abilitiy. Objectives: This study aims to assess parents’ views on the effect of food on children’s ability to learn in four European countries (England, Germany, Hungary, Spain). Method. Design: Parents of children aged 4 to 10 years were recruited through state elementary schools. Participants were asked to sort 18 cards representing possible determinants of learning (in 6 categories: 4 food related, 3 educational, 2 physical, 4 social, 2 psychological, 3 biological) according to their views about strength of effect. Determinants were identified from the literature. Effects were scored: 0=none; 1=moderate; 2=strong. Results: 201 parents took part. There were no significant differences among countries in age, gender, number of children of participants. Higher proportions of parents in England and Germany had received university education than in the other countries (p=0.015); significantly fewer parents in Spain were in employment (p\u0026lt;0.001). Taking all countries together, respondents felt that physical (sleep and activity), psychological (mood and behavior) and educational (class size, teaching quality, school discipline) determinants had the largest effects on learning (means 1.72, 1.71, 1.63, respectively). Social (birth order, income, parent’s education, stimulation at home) and biological determinants (birth weight, IQ, genetic factors) had the lowest effect (1.20, 1.06). Food determinants were ranked 4th out of 6 categories (mean 1.34). Within the food category, regular meals (and nutrition as a baby) are the most (and least) important determinants (1.59, 1.06, respectively). Food at school (1.37) and a child’s current diet (1.36) were intermediate. Responses from parents in Spain on some food determinants differed significantly from those of parents in the other countries. Conclusions: Parents do not perceive food as a major determinant of learning in children; better formulated and targeted communication with parents is needed. Supported by the European Communities 7th Framework Programme (NUTRIMENTHE Grant agreement number: 212652).","internal_url":"https://www.academia.edu/128506272/Effect_of_food_on_learning_views_of_parents_in_four_European_countries","translated_internal_url":"","created_at":"2025-03-29T17:25:37.866-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":33136580,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[],"slug":"Effect_of_food_on_learning_views_of_parents_in_four_European_countries","translated_slug":"","page_count":null,"language":"en","content_type":"Work","summary":"Introduction: Nutrition is one of many factors influencing a child’s learning abilitiy. Objectives: This study aims to assess parents’ views on the effect of food on children’s ability to learn in four European countries (England, Germany, Hungary, Spain). Method. Design: Parents of children aged 4 to 10 years were recruited through state elementary schools. Participants were asked to sort 18 cards representing possible determinants of learning (in 6 categories: 4 food related, 3 educational, 2 physical, 4 social, 2 psychological, 3 biological) according to their views about strength of effect. Determinants were identified from the literature. Effects were scored: 0=none; 1=moderate; 2=strong. Results: 201 parents took part. There were no significant differences among countries in age, gender, number of children of participants. Higher proportions of parents in England and Germany had received university education than in the other countries (p=0.015); significantly fewer parents in Spain were in employment (p\u0026lt;0.001). Taking all countries together, respondents felt that physical (sleep and activity), psychological (mood and behavior) and educational (class size, teaching quality, school discipline) determinants had the largest effects on learning (means 1.72, 1.71, 1.63, respectively). Social (birth order, income, parent’s education, stimulation at home) and biological determinants (birth weight, IQ, genetic factors) had the lowest effect (1.20, 1.06). Food determinants were ranked 4th out of 6 categories (mean 1.34). Within the food category, regular meals (and nutrition as a baby) are the most (and least) important determinants (1.59, 1.06, respectively). Food at school (1.37) and a child’s current diet (1.36) were intermediate. Responses from parents in Spain on some food determinants differed significantly from those of parents in the other countries. Conclusions: Parents do not perceive food as a major determinant of learning in children; better formulated and targeted communication with parents is needed. Supported by the European Communities 7th Framework Programme (NUTRIMENTHE Grant agreement number: 212652).","owner":{"id":33136580,"first_name":"Cristina","middle_initials":null,"last_name":"Campoy","page_name":"CFolgoso","domain_name":"granada","created_at":"2015-07-17T04:55:47.128-07:00","display_name":"Cristina Campoy","url":"https://granada.academia.edu/CFolgoso"},"attachments":[],"research_interests":[{"id":221,"name":"Psychology","url":"https://www.academia.edu/Documents/in/Psychology"},{"id":26327,"name":"Medicine","url":"https://www.academia.edu/Documents/in/Medicine"},{"id":45293,"name":"Mood","url":"https://www.academia.edu/Documents/in/Mood"}],"urls":[{"id":47337699,"url":"https://surrey.eprints-hosting.org/763176/"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") if (false) { Aedu.setUpFigureCarousel('profile-work-128506272-figures'); } }); </script> <div 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href="https://www.academia.edu/128506271/Association_of_telomere_length_with_IL_6_levels_during_an_obesity_treatment_in_adolescents_interaction_with_the_174G_C_polymorphism_in_the_i_IL_6_i_gene">Association of telomere length with IL-6 levels during an obesity treatment in adolescents: interaction with the-174G/C polymorphism in the <i>IL-6</i> gene</a></div><div class="wp-workCard_item"><span>Pediatric obesity</span><span>, Apr 13, 2016</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="09b140ce1549aede49746592fd1fa496" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":122076399,"asset_id":128506271,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/122076399/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action 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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/128506270/Method_devised_for_determining_low_molecular_weight_organic_acids_in_vinic_samples_by_capillary_electrophoresis_validation_of_the_method_with_real_samples">Method devised for determining low molecular weight organic acids in vinic samples by capillary electrophoresis: validation of the method with real samples</a></div><div class="wp-workCard_item"><span>European Food Research and Technology</span><span>, Oct 1, 2001</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">The validation has been carried out of a method devised for determining by capillary electrophore...</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 validation has been carried out of a method devised for determining by capillary electrophoresis the low molecular weight organic acids present in various types of vinic sample. The organic acids specifically studied are those most commonly found in samples of vinic origin: formic, fumaric, succinic, oxalic, malic, tartaric, acetic, lactic and citric acids. The electropherograms were obtained using an electrolyte consisting of tetraborate buffer (10 mmol/l) at pH 9.3, an electroosmotic flow moderator (TTAOH), and Ca 2+ and Mg 2+ as complexing agents, for better resolution of some of the acids studied. Other conditions of the method are hydrostatic injection (10 cm height for 30 s), UV detection at a wavelength of 185 nm and temperature of 200 °C. The method used for the validation was comparison of the slopes of the curves obtained with standards and the regression curves obtained by standard addition. For this comparison, t and F statistics were used.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="7ece06529b004b016a18ca27674bf220" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":122076393,"asset_id":128506270,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/122076393/download_file?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="128506270"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="128506270"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 128506270; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=128506270]").text(description); $(".js-view-count[data-work-id=128506270]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 128506270; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='128506270']"); 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></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.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: "7ece06529b004b016a18ca27674bf220" } } $('.js-work-strip[data-work-id=128506270]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":128506270,"title":"Method devised for determining low molecular weight organic acids in vinic samples by capillary electrophoresis: validation of the method with real samples","translated_title":"","metadata":{"publisher":"Springer Science+Business Media","grobid_abstract":"The validation has been carried out of a method devised for determining by capillary electrophoresis the low molecular weight organic acids present in various types of vinic sample. The organic acids specifically studied are those most commonly found in samples of vinic origin: formic, fumaric, succinic, oxalic, malic, tartaric, acetic, lactic and citric acids. The electropherograms were obtained using an electrolyte consisting of tetraborate buffer (10 mmol/l) at pH 9.3, an electroosmotic flow moderator (TTAOH), and Ca 2+ and Mg 2+ as complexing agents, for better resolution of some of the acids studied. Other conditions of the method are hydrostatic injection (10 cm height for 30 s), UV detection at a wavelength of 185 nm and temperature of 200 °C. The method used for the validation was comparison of the slopes of the curves obtained with standards and the regression curves obtained by standard addition. For this comparison, t and F statistics were used.","publication_date":{"day":1,"month":10,"year":2001,"errors":{}},"publication_name":"European Food Research and Technology","grobid_abstract_attachment_id":122076393},"translated_abstract":null,"internal_url":"https://www.academia.edu/128506270/Method_devised_for_determining_low_molecular_weight_organic_acids_in_vinic_samples_by_capillary_electrophoresis_validation_of_the_method_with_real_samples","translated_internal_url":"","created_at":"2025-03-29T17:25:37.054-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":33136580,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":122076393,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/122076393/thumbnails/1.jpg","file_name":"s002170100398.pdf","download_url":"https://www.academia.edu/attachments/122076393/download_file","bulk_download_file_name":"Method_devised_for_determining_low_molec.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/122076393/s002170100398-libre.pdf?1743295240=\u0026response-content-disposition=attachment%3B+filename%3DMethod_devised_for_determining_low_molec.pdf\u0026Expires=1743325713\u0026Signature=gl~uK0zuwCvd4DdliVq6O0n3dN~tTjQsZeqaLXneUD9aLoRJGX222MdlXsLDErAndZbeLpPQcuniwsQ9lrfaXYGYsZIS6IaRuSrH8M118C9dx0afFqPJI~OSuq1IIbWRdSZd1fUjQXUjksVdFYGHbEfqcLvt06C6eWpK98JzoLH3NwuT4PkWiu7L0oeN-WMAxI~NiNMLjqPL-cMjsrPiVKfkdcvjOuYTsUyFVhfHdhKGMPJH1erFBaeKLT0ZwZpvDwYv9oPr0wGbphCYU8JUcRN~L~4Hlgoi5Lm41YqsjZjIvHubzvhyMVicTTQMlx-UoBcU6uJYo5eO-RT1ErpN5A__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"Method_devised_for_determining_low_molecular_weight_organic_acids_in_vinic_samples_by_capillary_electrophoresis_validation_of_the_method_with_real_samples","translated_slug":"","page_count":2,"language":"en","content_type":"Work","summary":"The validation has been carried out of a method devised for determining by capillary electrophoresis the low molecular weight organic acids present in various types of vinic sample. The organic acids specifically studied are those most commonly found in samples of vinic origin: formic, fumaric, succinic, oxalic, malic, tartaric, acetic, lactic and citric acids. The electropherograms were obtained using an electrolyte consisting of tetraborate buffer (10 mmol/l) at pH 9.3, an electroosmotic flow moderator (TTAOH), and Ca 2+ and Mg 2+ as complexing agents, for better resolution of some of the acids studied. Other conditions of the method are hydrostatic injection (10 cm height for 30 s), UV detection at a wavelength of 185 nm and temperature of 200 °C. The method used for the validation was comparison of the slopes of the curves obtained with standards and the regression curves obtained by standard addition. For this comparison, t and F statistics were used.","owner":{"id":33136580,"first_name":"Cristina","middle_initials":null,"last_name":"Campoy","page_name":"CFolgoso","domain_name":"granada","created_at":"2015-07-17T04:55:47.128-07:00","display_name":"Cristina Campoy","url":"https://granada.academia.edu/CFolgoso"},"attachments":[{"id":122076393,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/122076393/thumbnails/1.jpg","file_name":"s002170100398.pdf","download_url":"https://www.academia.edu/attachments/122076393/download_file","bulk_download_file_name":"Method_devised_for_determining_low_molec.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/122076393/s002170100398-libre.pdf?1743295240=\u0026response-content-disposition=attachment%3B+filename%3DMethod_devised_for_determining_low_molec.pdf\u0026Expires=1743325713\u0026Signature=gl~uK0zuwCvd4DdliVq6O0n3dN~tTjQsZeqaLXneUD9aLoRJGX222MdlXsLDErAndZbeLpPQcuniwsQ9lrfaXYGYsZIS6IaRuSrH8M118C9dx0afFqPJI~OSuq1IIbWRdSZd1fUjQXUjksVdFYGHbEfqcLvt06C6eWpK98JzoLH3NwuT4PkWiu7L0oeN-WMAxI~NiNMLjqPL-cMjsrPiVKfkdcvjOuYTsUyFVhfHdhKGMPJH1erFBaeKLT0ZwZpvDwYv9oPr0wGbphCYU8JUcRN~L~4Hlgoi5Lm41YqsjZjIvHubzvhyMVicTTQMlx-UoBcU6uJYo5eO-RT1ErpN5A__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":523,"name":"Chemistry","url":"https://www.academia.edu/Documents/in/Chemistry"},{"id":4656,"name":"Chromatography","url":"https://www.academia.edu/Documents/in/Chromatography"},{"id":14907,"name":"Industrial Biotechnology","url":"https://www.academia.edu/Documents/in/Industrial_Biotechnology"},{"id":15375,"name":"Capillary electrophoresis","url":"https://www.academia.edu/Documents/in/Capillary_electrophoresis"},{"id":37306,"name":"Quality Control","url":"https://www.academia.edu/Documents/in/Quality_Control"},{"id":38516,"name":"Wine","url":"https://www.academia.edu/Documents/in/Wine"},{"id":51513,"name":"Test Validation","url":"https://www.academia.edu/Documents/in/Test_Validation"},{"id":573653,"name":"Food Sciences","url":"https://www.academia.edu/Documents/in/Food_Sciences"},{"id":977996,"name":"Citric Acid","url":"https://www.academia.edu/Documents/in/Citric_Acid"},{"id":1237507,"name":"European Food","url":"https://www.academia.edu/Documents/in/European_Food"},{"id":1496706,"name":"Low molecular weight","url":"https://www.academia.edu/Documents/in/Low_molecular_weight"},{"id":1701407,"name":"Organic Acid","url":"https://www.academia.edu/Documents/in/Organic_Acid"},{"id":1845205,"name":"Tartaric acid","url":"https://www.academia.edu/Documents/in/Tartaric_acid"}],"urls":[{"id":47337697,"url":"https://doi.org/10.1007/s002170100398"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") if (false) { Aedu.setUpFigureCarousel('profile-work-128506270-figures'); } }); </script> <div class="js-work-strip profile--work_container" data-work-id="128506269"><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/128506269/Influences_on_infant_feeding_decisions_of_first_time_mothers_in_five_European_countries"><img alt="Research paper thumbnail of Influences on infant feeding decisions of first-time mothers in five European countries" class="work-thumbnail" src="https://attachments.academia-assets.com/122076396/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/128506269/Influences_on_infant_feeding_decisions_of_first_time_mothers_in_five_European_countries">Influences on infant feeding decisions of first-time mothers in five European countries</a></div><div class="wp-workCard_item"><span>European Journal of Clinical Nutrition</span><span>, Jun 13, 2012</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Background/ Objectives: Infant feeding decisions made by new parents have significant health impl...</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">Background/ Objectives: Infant feeding decisions made by new parents have significant health implications. The study aimed to investigate: influences on infant feeding decisions; characteristics of mothers reporting reliance on alternative information sources; associations between reliance on different sources and intentions to exclusively breastfeed and introduce complementary foods later, and subsequent breastfeeding and weaning behaviours. Subjects/ Methods: First-time mothers in five European countries (England, Finland, Germany, Hungary, Spain) completed questionnaires about the importance of 17 influences on infant feeding choices at birth and eight months later, during 2007-8. Use of individual sources and reliance on four categories (family and friends, health professionals, written materials, audio-visual media) were compared between countries. Associations between information sources used and mother characteristics, feeding intentions, and behaviours were investigated using appropriate statistical tests. Results: 2071 first-time mothers provided baseline data; 78% at eight months. Across all countries, the most important influences at both time points were books, partner and antenatal midwife. Mothers in higher income quintiles and remaining at school beyond age 16 reported greater reliance on written sources (p<.005). Mothers relying most on written sources reported longer exclusive breastfeeding (p=.002), and a tendency to introduce foods other than milk later (p=.079) than mothers relying most on personal or professional contacts. Variation exists between countries in the influence of different sources on feeding decisions of first-time mothers. Further research is required about which dissemination strategies are most effective at improving infant feeding behaviours in varied cultural settings, and for different socio -economic groups.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="d5aa102e749e62e4143223d7d0e983fa" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":122076396,"asset_id":128506269,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/122076396/download_file?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="128506269"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="128506269"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 128506269; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=128506269]").text(description); $(".js-view-count[data-work-id=128506269]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 128506269; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='128506269']"); 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></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.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: "d5aa102e749e62e4143223d7d0e983fa" } } $('.js-work-strip[data-work-id=128506269]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":128506269,"title":"Influences on infant feeding decisions of first-time mothers in five European countries","translated_title":"","metadata":{"publisher":"Springer Nature","grobid_abstract":"Background/ Objectives: Infant feeding decisions made by new parents have significant health implications. The study aimed to investigate: influences on infant feeding decisions; characteristics of mothers reporting reliance on alternative information sources; associations between reliance on different sources and intentions to exclusively breastfeed and introduce complementary foods later, and subsequent breastfeeding and weaning behaviours. Subjects/ Methods: First-time mothers in five European countries (England, Finland, Germany, Hungary, Spain) completed questionnaires about the importance of 17 influences on infant feeding choices at birth and eight months later, during 2007-8. Use of individual sources and reliance on four categories (family and friends, health professionals, written materials, audio-visual media) were compared between countries. Associations between information sources used and mother characteristics, feeding intentions, and behaviours were investigated using appropriate statistical tests. Results: 2071 first-time mothers provided baseline data; 78% at eight months. Across all countries, the most important influences at both time points were books, partner and antenatal midwife. Mothers in higher income quintiles and remaining at school beyond age 16 reported greater reliance on written sources (p\u003c.005). Mothers relying most on written sources reported longer exclusive breastfeeding (p=.002), and a tendency to introduce foods other than milk later (p=.079) than mothers relying most on personal or professional contacts. Variation exists between countries in the influence of different sources on feeding decisions of first-time mothers. Further research is required about which dissemination strategies are most effective at improving infant feeding behaviours in varied cultural settings, and for different socio -economic groups.","publication_date":{"day":13,"month":6,"year":2012,"errors":{}},"publication_name":"European Journal of Clinical Nutrition","grobid_abstract_attachment_id":122076396},"translated_abstract":null,"internal_url":"https://www.academia.edu/128506269/Influences_on_infant_feeding_decisions_of_first_time_mothers_in_five_European_countries","translated_internal_url":"","created_at":"2025-03-29T17:25:36.759-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":33136580,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":122076396,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/122076396/thumbnails/1.jpg","file_name":"Gage_20et_20al_202012_20Influences_20on_20Infant_20Feeding_20Decisions_20of_20First_20Time_20Mothers_20in_20Five_20European_20Countries..pdf","download_url":"https://www.academia.edu/attachments/122076396/download_file","bulk_download_file_name":"Influences_on_infant_feeding_decisions_o.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/122076396/Gage_20et_20al_202012_20Influences_20on_20Infant_20Feeding_20Decisions_20of_20First_20Time_20Mothers_20in_20Five_20European_20Countries.-libre.pdf?1743295243=\u0026response-content-disposition=attachment%3B+filename%3DInfluences_on_infant_feeding_decisions_o.pdf\u0026Expires=1743325713\u0026Signature=NToO12NhkytKzhMnsLv3U7M4qin8RLZeCRzWcRLJiATQS8ZfPMXgggfh4KhDUr6X-9VBA4qNz7vmJvfTvAJfvZdl-E0X7dIH-J4Al0HwufcZwwqee76nITV4HSobgJAKVoHWgWNVDu4bKa3zJq2aWI38xcJrvNcmnZI2yeogBIeHHMs9kGfHDhhyv1UB1ajbnBQe1BkQzXviY2-ikqGuxNdUedQbejtyDn5hOM7sQZuJeqOwkpyg0DEckfIz0YsjwYeihWixkyP73Iz4N8uBuIS0NsGrqKhAaugjRVkwKbAEJ~HyfhKmONMGeQdUv9jGaJ8TI8OBpKmUZAgCh7mTAg__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"Influences_on_infant_feeding_decisions_of_first_time_mothers_in_five_European_countries","translated_slug":"","page_count":18,"language":"en","content_type":"Work","summary":"Background/ Objectives: Infant feeding decisions made by new parents have significant health implications. The study aimed to investigate: influences on infant feeding decisions; characteristics of mothers reporting reliance on alternative information sources; associations between reliance on different sources and intentions to exclusively breastfeed and introduce complementary foods later, and subsequent breastfeeding and weaning behaviours. Subjects/ Methods: First-time mothers in five European countries (England, Finland, Germany, Hungary, Spain) completed questionnaires about the importance of 17 influences on infant feeding choices at birth and eight months later, during 2007-8. Use of individual sources and reliance on four categories (family and friends, health professionals, written materials, audio-visual media) were compared between countries. Associations between information sources used and mother characteristics, feeding intentions, and behaviours were investigated using appropriate statistical tests. Results: 2071 first-time mothers provided baseline data; 78% at eight months. Across all countries, the most important influences at both time points were books, partner and antenatal midwife. Mothers in higher income quintiles and remaining at school beyond age 16 reported greater reliance on written sources (p\u003c.005). Mothers relying most on written sources reported longer exclusive breastfeeding (p=.002), and a tendency to introduce foods other than milk later (p=.079) than mothers relying most on personal or professional contacts. Variation exists between countries in the influence of different sources on feeding decisions of first-time mothers. 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") if (false) { Aedu.setUpFigureCarousel('profile-work-128506269-figures'); } }); </script> <div class="js-work-strip profile--work_container" data-work-id="128506268"><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/128506268/Maternal_BMI_and_gestational_diabetes_mellitus_Impacts_on_the_maternal_and_cord_blood_metabolome"><img alt="Research paper thumbnail of Maternal BMI and gestational diabetes mellitus: Impacts on the maternal and cord blood metabolome" class="work-thumbnail" src="https://attachments.academia-assets.com/122076390/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/128506268/Maternal_BMI_and_gestational_diabetes_mellitus_Impacts_on_the_maternal_and_cord_blood_metabolome">Maternal BMI and gestational diabetes mellitus: Impacts on the maternal and cord blood metabolome</a></div><div class="wp-workCard_item"><span>Clinical Nutrition</span><span>, Sep 1, 2018</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="e45b10b3f699656c495b57e11da79ce4" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":122076390,"asset_id":128506268,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/122076390/download_file?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="128506268"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="128506268"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 128506268; 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