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itemprop="headline" >Carbohydrates</a></h1></div></div> <div class='container_wrap container_wrap_first main_color fullsize'> <div class='container'> <main class='template-page content av-content-full alpha units' role="main" itemprop="mainContentOfPage" > <article class='post-entry post-entry-type-page post-entry-43' itemscope="itemscope" itemtype="https://schema.org/CreativeWork" > <div class="entry-content-wrapper clearfix"> <header class="entry-content-header"></header><div class="entry-content" itemprop="text" ><div class="fl-builder-content fl-builder-content-43 fl-builder-content-primary fl-builder-global-templates-locked" data-post-id="43"><div class="fl-row fl-row-full-width fl-row-bg-photo fl-node-572a18a6b1c85 fl-row-custom-height fl-row-align-center fl-row-bg-fixed" data-node="572a18a6b1c85"> <div class="fl-row-content-wrap"> <div class="fl-row-content fl-row-fixed-width fl-node-content"> <div class="fl-col-group fl-node-572a18a6b1dcd" data-node="572a18a6b1dcd"> <div class="fl-col fl-node-572a18a6b1d2a" data-node="572a18a6b1d2a"> <div class="fl-col-content fl-node-content"></div> </div> </div> </div> </div> </div> <div class="fl-row fl-row-fixed-width fl-row-bg-none fl-node-6012c0b5b43d9 fl-row-default-height fl-row-align-center" data-node="6012c0b5b43d9"> <div class="fl-row-content-wrap"> <div class="fl-row-content fl-row-fixed-width fl-node-content"> <div class="fl-col-group fl-node-6012c0b5c8068" data-node="6012c0b5c8068"> <div class="fl-col fl-node-6012c0b5c8123" data-node="6012c0b5c8123"> <div class="fl-col-content fl-node-content"><div class="fl-module fl-module-rich-text fl-node-6012c0b5b38cb" data-node="6012c0b5b38cb"> <div class="fl-module-content fl-node-content"> <div class="fl-rich-text"> <p><span style="font-size: 32px;">The Carbohydrates Committee addresses outstanding scientific issues through discovery, research tools and translational messaging related to how carbohydrate-rich foods, food components and formulations are associated with consumption behavior, diet quality and health outcomes.</span></p> </div> </div> </div> </div> </div> </div> </div> </div> </div> <div class="fl-row fl-row-full-width fl-row-bg-none fl-node-572a18a6b175d fl-row-default-height fl-row-align-center" data-node="572a18a6b175d"> <div class="fl-row-content-wrap"> <div class="fl-row-content fl-row-fixed-width fl-node-content"> <div class="fl-col-group fl-node-572a18a6b19f3" data-node="572a18a6b19f3"> <div class="fl-col fl-node-572a18a6b1a99" data-node="572a18a6b1a99"> <div class="fl-col-content fl-node-content"><div class="fl-module fl-module-rich-text fl-node-615c84481c98b fl-animation fl-fade-in" data-node="615c84481c98b" data-animation-delay="0.0" data-animation-duration="1"> <div class="fl-module-content fl-node-content"> <div class="fl-rich-text"> <blockquote> <h3 class="lead"><span class="color-quinary" style="font-size: 24px;">Why is this research important?</span></h3> <p><span class="color-medium"><em>Carbohydrates are an important source of energy and nutrients in the food supply. The committee focuses its work on understanding <strong>sugar, fiber, </strong>and<strong> carbohydrate quality</strong> as they relate to human health.</em></span></p></blockquote> </div> </div> </div> <div class="fl-module fl-module-rich-text fl-node-572a18a6b1f1a fl-animation fl-fade-in" data-node="572a18a6b1f1a" data-animation-delay="0.0" data-animation-duration="1"> <div class="fl-module-content fl-node-content"> <div class="fl-rich-text"> <h3 class="lead"><span class="color-quinary">Research Focus Areas:</span></h3> <ul> <li>Advance scientific evidence and research tools to further understanding of <strong>how fiber relates to human health outcomes.</strong></li> <li>Characterize nutrient intakes and overall diet quality of <strong>various carbohydrate restricted or modified diet patterns. </strong></li> <li>Clarify and communicate research tools examining <strong>causal relationships between energy containing food/ingredients and body composition</strong>.</li> <li>Promote informed decision-making on food choices - focused on <strong>carbohydrate quality</strong>.</li> </ul> <p> </p> </div> </div> </div> <div class="fl-module fl-module-callout fl-node-572a4fdc116e4" data-node="572a4fdc116e4"> <div class="fl-module-content fl-node-content"> <div class="fl-callout fl-callout-has-photo fl-callout-photo-above-title"> <div class="fl-callout-content"> <div class="fl-callout-photo"><div class="fl-photo fl-photo-crop-landscape fl-photo-align-center" itemscope itemtype="https://schema.org/ImageObject"> <div class="fl-photo-content fl-photo-img-jpg"> <a href="https://iafns.org/our-work/research-tools-open-data/dietary-fiber-database/" target="_self" itemprop="url"> <img fetchpriority="high" decoding="async" class="fl-photo-img wp-image-530 size-medium" src="https://iafns.org/wp-content/uploads/bb-plugin/cache/SmallerBreadGrain-1-300x200-landscape-3a0a845b6ec69a3b181b73ff3b33107a-.jpg" alt="SmallerBreadGrain" itemprop="image" height="200" width="300" title="SmallerBreadGrain" /> </a> </div> </div> </div><div class="fl-callout-text-wrap"><div class="fl-callout-text"><h3 style="text-align: center;">Diet-Related Fibers & Human Health Outcomes Database</h3> </div><div class="fl-callout-button"><div class="fl-button-wrap fl-button-width-auto fl-button-center fl-button-has-icon"> <a href="https://iafns.org/our-work/research-tools-open-data/dietary-fiber-database/" target="_self" class="fl-button"> <i class="fl-button-icon fl-button-icon-before dashicons dashicons-before dashicons-external" aria-hidden="true"></i> <span class="fl-button-text">Access Database</span> </a> </div> </div></div> </div> </div> </div> </div> <div class="fl-module fl-module-rich-text fl-node-614cc951e4e94" data-node="614cc951e4e94"> <div class="fl-module-content fl-node-content"> <div class="fl-rich-text"> <p style="text-align: center;">IAFNS is currently offering graduate student and post-doc stipends for research using the comprehensive database (click <a href="https://iafns.org/our-work/grant-opportunities/">here</a> to apply).</p> </div> </div> </div> </div> </div> <div class="fl-col fl-node-572a18a6b1b3c fl-col-small" data-node="572a18a6b1b3c"> <div class="fl-col-content fl-node-content"><div class="fl-module fl-module-rich-text fl-node-572a18a6b1e74" data-node="572a18a6b1e74"> <div class="fl-module-content fl-node-content"> <div class="fl-rich-text"> <div style="text-align: right;"><span class="color-quinary"><b>COMMITTEE MEMBERS</b> </span></div> <div style="text-align: right;">Abbott Nutrition<br /> Archer Daniels Midland Company<br /> BENEO - Group<br /> Cargill, Incorporated<br /> General Mills, Inc.<br /> The Hershey Company<br /> Ingredion Incorporated<br /> Mondelēz International<br /> Post Consumer Brands<br /> Potatoes USA</div> <div style="text-align: right;"></div> <div style="text-align: right;"><span class="color-quinary"><br /> <b>ACADEMIC ADVISORS</b></span></div> <div style="text-align: right;"> <div> <div>Nick Bellissimo, PhD, Toronto Metropolitan University</div> <div class="ms-rteFontSize-2">Joanne Slavin, PhD, RD, University of Minnesota</div> </div> <div>Bruce Hamaker, PhD, Purdue University</div> <p><span class="color-quinary"><br /> <b>GOVERNMENT ADVISOR<br /> </b></span>David Baer, PhD, US Department of Agriculture, Agriculture Research Service</p> </div> </div> </div> </div> </div> </div> </div> <div class="fl-col-group fl-node-5d0bc6a42803d" data-node="5d0bc6a42803d"> <div class="fl-col fl-node-5d0bc6a42813e" data-node="5d0bc6a42813e"> <div class="fl-col-content fl-node-content"><div class="fl-module fl-module-button fl-node-5d0bc6a427f84" data-node="5d0bc6a427f84"> <div class="fl-module-content fl-node-content"> <div class="fl-button-wrap fl-button-width-auto fl-button-right"> <a href="https://iafns.org/join-us/" target="_self" class="fl-button"> <span class="fl-button-text">Join Us!</span> </a> </div> </div> </div> </div> </div> </div> </div> </div> </div> <div class="fl-row fl-row-fixed-width fl-row-bg-none fl-node-5cdaea5e9fa7a fl-row-default-height fl-row-align-center" data-node="5cdaea5e9fa7a"> <div class="fl-row-content-wrap"> <div class="fl-row-content fl-row-fixed-width fl-node-content"> <div class="fl-col-group fl-node-5cdaea5eac31e" data-node="5cdaea5eac31e"> <div class="fl-col fl-node-5cdaea5eac495" data-node="5cdaea5eac495"> <div class="fl-col-content fl-node-content"><div class="fl-module fl-module-heading fl-node-5cdaead417ee5" data-node="5cdaead417ee5"> <div class="fl-module-content fl-node-content"> <h2 class="fl-heading"> <span class="fl-heading-text">Projects Supported by the Committee:</span> </h2> </div> </div> <div class="fl-module fl-module-post-carousel fl-node-5cdaea660ef26" data-node="5cdaea660ef26"> <div class="fl-module-content fl-node-content"> <div class="fl-post-carousel fl-post-carousel-grid" itemscope="itemscope" itemtype="https://schema.org/Blog"> <div class="fl-post-carousel-wrapper"> <div class="fl-post-carousel-post 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itemtype="https://schema.org/Organization"><meta itemprop="name" content="IAFNS"></div><div itemscope itemprop="author" itemtype="https://schema.org/Person"><meta itemprop="url" content="https://iafns.org/author/sgibb/" /><meta itemprop="name" content="sgibb" /></div><div itemscope itemprop="image" itemtype="https://schema.org/ImageObject"><meta itemprop="url" content="https://iafns.org/wp-content/uploads/2019/11/IAFNS-STANDARDIZING-METHOD-AND-DEVELOPMENT-OF-NORMAL-VALUES-TO-MEASURE-HUMAN-SMALL-INTESTINAL-AND-COLONIC-PERMEABILITY.jpg" /><meta itemprop="width" content="1440" /><meta itemprop="height" content="810" /></div><div itemprop="interactionStatistic" itemscope itemtype="https://schema.org/InteractionCounter"><meta itemprop="interactionType" content="https://schema.org/CommentAction" /><meta itemprop="userInteractionCount" content="0" /></div> <div class="fl-post-carousel-image"> <div class="fl-photo fl-photo-crop-landscape fl-photo-align-center" itemscope itemtype="https://schema.org/ImageObject"> <div class="fl-photo-content fl-photo-img-jpg"> <a href="https://iafns.org/standardizing-method-and-development-of-normal-values-to-measure-human-small-intestinal-and-colonic-permeability/" target="_self" itemprop="url"> <img decoding="async" class="fl-photo-img wp-image-32198 size-medium" src="https://iafns.org/wp-content/uploads/bb-plugin/cache/IAFNS-STANDARDIZING-METHOD-AND-DEVELOPMENT-OF-NORMAL-VALUES-TO-MEASURE-HUMAN-SMALL-INTESTINAL-AND-COLONIC-PERMEABILITY-300x169-landscape-505a4798fdf8b4b82fe9ba79d34524be-.jpg" alt="IAFNS STANDARDIZING METHOD AND DEVELOPMENT OF NORMAL VALUES TO MEASURE HUMAN SMALL INTESTINAL AND COLONIC PERMEABILITY" itemprop="image" loading="false" height="169" width="300" title="IAFNS STANDARDIZING METHOD AND DEVELOPMENT OF NORMAL VALUES TO MEASURE HUMAN SMALL INTESTINAL AND COLONIC PERMEABILITY" /> </a> </div> </div> </div> <div class="fl-post-carousel-text"> <h2 class="fl-post-carousel-title" itemprop="headline"> <a href="https://iafns.org/standardizing-method-and-development-of-normal-values-to-measure-human-small-intestinal-and-colonic-permeability/" title="Standardizing Method and Development of Normal Values to Measure Human Small Intestinal and Colonic Permeability">Standardizing Method and Development of Normal Values to Measure Human Small Intestinal and Colonic Permeability</a> </h2> </div> </div> <div class="fl-post-carousel-post post-24062 post type-post status-publish format-standard has-post-thumbnail hentry category-carbohydrates" itemscope itemtype="https://schema.org/BlogPosting"> <meta itemscope itemprop="mainEntityOfPage" itemtype="https://schema.org/WebPage" itemid="https://iafns.org/metabolic-and-physiological-properties-of-rare-sugars-review-paper/" content="Metabolic and Physiological Properties of Rare Sugars Review Paper" /><meta itemprop="datePublished" content="2019-09-17" /><meta itemprop="dateModified" content="2023-07-31" /><div itemprop="publisher" itemscope itemtype="https://schema.org/Organization"><meta itemprop="name" content="IAFNS"></div><div itemscope itemprop="author" itemtype="https://schema.org/Person"><meta itemprop="url" content="https://iafns.org/author/sgibb/" /><meta itemprop="name" content="sgibb" /></div><div itemscope itemprop="image" itemtype="https://schema.org/ImageObject"><meta itemprop="url" content="https://iafns.org/wp-content/uploads/2019/09/IAFNS-METABOLIC-AND-PHYSIOLOGICAL-PROPERTIES-OF-RARE-SUGARS-REVIEW-PAPER.jpg" /><meta itemprop="width" content="1426" /><meta itemprop="height" content="810" /></div><div itemprop="interactionStatistic" itemscope itemtype="https://schema.org/InteractionCounter"><meta itemprop="interactionType" content="https://schema.org/CommentAction" /><meta itemprop="userInteractionCount" content="0" /></div> <div class="fl-post-carousel-image"> <div class="fl-photo fl-photo-crop-landscape fl-photo-align-center" itemscope itemtype="https://schema.org/ImageObject"> <div 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Paper</a> </h2> </div> </div> <div class="fl-post-carousel-post post-24096 post type-post status-publish format-standard has-post-thumbnail hentry category-carbohydrates" itemscope itemtype="https://schema.org/BlogPosting"> <meta itemscope itemprop="mainEntityOfPage" itemtype="https://schema.org/WebPage" itemid="https://iafns.org/global-comparison-of-how-short-term-blood-glucose-response-to-food-is-measured-and-translated/" content="Global Comparison of How Short-Term Blood Glucose Response to Food is Measured and Translated" /><meta itemprop="datePublished" content="2019-06-15" /><meta itemprop="dateModified" content="2023-07-31" /><div itemprop="publisher" itemscope itemtype="https://schema.org/Organization"><meta itemprop="name" content="IAFNS"></div><div itemscope itemprop="author" itemtype="https://schema.org/Person"><meta itemprop="url" content="https://iafns.org/author/sgibb/" /><meta itemprop="name" content="sgibb" /></div><div itemscope itemprop="image" itemtype="https://schema.org/ImageObject"><meta itemprop="url" content="https://iafns.org/wp-content/uploads/2019/06/IAFNS-GLOBAL-COMPARISON-OF-HOW-SHORT-TERM-BLOOD-GLUCOSE-RESPONSE-TO-FOOD-IS-MEASURED-AND-TRANSLATED.jpg" /><meta itemprop="width" content="1440" /><meta itemprop="height" content="810" /></div><div itemprop="interactionStatistic" itemscope itemtype="https://schema.org/InteractionCounter"><meta itemprop="interactionType" content="https://schema.org/CommentAction" /><meta itemprop="userInteractionCount" content="0" /></div> <div class="fl-post-carousel-image"> <div class="fl-photo fl-photo-crop-landscape fl-photo-align-center" itemscope itemtype="https://schema.org/ImageObject"> <div class="fl-photo-content fl-photo-img-jpg"> <a href="https://iafns.org/global-comparison-of-how-short-term-blood-glucose-response-to-food-is-measured-and-translated/" target="_self" itemprop="url"> <img decoding="async" class="fl-photo-img wp-image-32204 size-medium" src="https://iafns.org/wp-content/uploads/bb-plugin/cache/IAFNS-GLOBAL-COMPARISON-OF-HOW-SHORT-TERM-BLOOD-GLUCOSE-RESPONSE-TO-FOOD-IS-MEASURED-AND-TRANSLATED-300x169-landscape-77a91ae5950a240d0ab9476f4f782cf2-.jpg" alt="IAFNS GLOBAL COMPARISON OF HOW SHORT-TERM BLOOD GLUCOSE RESPONSE TO FOOD IS MEASURED AND TRANSLATED" itemprop="image" loading="false" height="169" width="300" title="IAFNS GLOBAL COMPARISON OF HOW SHORT-TERM BLOOD GLUCOSE RESPONSE TO FOOD IS MEASURED AND TRANSLATED" /> </a> </div> </div> </div> <div class="fl-post-carousel-text"> <h2 class="fl-post-carousel-title" itemprop="headline"> <a href="https://iafns.org/global-comparison-of-how-short-term-blood-glucose-response-to-food-is-measured-and-translated/" title="Global Comparison of How Short-Term Blood Glucose Response to Food is Measured and Translated">Global Comparison of How Short-Term Blood Glucose Response to Food is Measured and Translated</a> </h2> </div> </div> <div class="fl-post-carousel-post post-22480 post type-post status-publish format-standard has-post-thumbnail hentry category-carbohydrates" itemscope itemtype="https://schema.org/BlogPosting"> <meta itemscope itemprop="mainEntityOfPage" itemtype="https://schema.org/WebPage" itemid="https://iafns.org/the-scientific-basis-of-guideline-recommendations-on-sugar-intake/" content="The Scientific Basis of Guideline Recommendations on Sugar Intake" /><meta itemprop="datePublished" content="2015-09-23" /><meta itemprop="dateModified" content="2023-07-31" /><div itemprop="publisher" itemscope itemtype="https://schema.org/Organization"><meta itemprop="name" content="IAFNS"></div><div itemscope itemprop="author" itemtype="https://schema.org/Person"><meta itemprop="url" content="https://iafns.org/author/blarrick/" /><meta itemprop="name" content="blarrick" /></div><div itemscope itemprop="image" itemtype="https://schema.org/ImageObject"><meta itemprop="url" content="https://iafns.org/wp-content/uploads/2015/09/IAFNS-THE-SCIENTIFIC-BASIS-OF-GUIDELINE-RECOMMENDATIONS-ON-SUGAR-INTAKE.jpg" /><meta itemprop="width" content="1440" /><meta itemprop="height" content="810" /></div><div itemprop="interactionStatistic" itemscope itemtype="https://schema.org/InteractionCounter"><meta itemprop="interactionType" content="https://schema.org/CommentAction" /><meta itemprop="userInteractionCount" content="0" /></div> <div class="fl-post-carousel-image"> <div class="fl-photo fl-photo-crop-landscape fl-photo-align-center" itemscope itemtype="https://schema.org/ImageObject"> <div class="fl-photo-content fl-photo-img-jpg"> <a href="https://iafns.org/the-scientific-basis-of-guideline-recommendations-on-sugar-intake/" target="_self" itemprop="url"> <img decoding="async" class="fl-photo-img wp-image-32292 size-medium" src="https://iafns.org/wp-content/uploads/bb-plugin/cache/IAFNS-THE-SCIENTIFIC-BASIS-OF-GUIDELINE-RECOMMENDATIONS-ON-SUGAR-INTAKE-300x169-landscape-f66d344ee410a8d9510627b3152219ff-.jpg" alt="IAFNS THE SCIENTIFIC BASIS OF GUIDELINE RECOMMENDATIONS ON SUGAR INTAKE" itemprop="image" loading="false" height="169" width="300" title="IAFNS THE SCIENTIFIC BASIS OF GUIDELINE RECOMMENDATIONS ON SUGAR INTAKE" /> </a> </div> </div> </div> <div class="fl-post-carousel-text"> <h2 class="fl-post-carousel-title" itemprop="headline"> <a href="https://iafns.org/the-scientific-basis-of-guideline-recommendations-on-sugar-intake/" title="The Scientific Basis of Guideline Recommendations on Sugar Intake">The Scientific Basis of Guideline Recommendations on Sugar Intake</a> </h2> </div> </div> <div class="fl-post-carousel-post post-22418 post type-post status-publish format-standard has-post-thumbnail hentry category-carbohydrates" itemscope itemtype="https://schema.org/BlogPosting"> <meta itemscope itemprop="mainEntityOfPage" itemtype="https://schema.org/WebPage" itemid="https://iafns.org/development-of-a-fiber-database-and-evidence-map/" content="Development of a Fiber Database and Evidence Map" /><meta itemprop="datePublished" content="2013-10-04" /><meta itemprop="dateModified" content="2023-07-31" /><div itemprop="publisher" itemscope itemtype="https://schema.org/Organization"><meta itemprop="name" content="IAFNS"></div><div itemscope itemprop="author" itemtype="https://schema.org/Person"><meta itemprop="url" content="https://iafns.org/author/blarrick/" /><meta itemprop="name" content="blarrick" /></div><div itemscope itemprop="image" itemtype="https://schema.org/ImageObject"><meta itemprop="url" content="https://iafns.org/wp-content/uploads/2013/10/IAFNS-DEVELOPMENT-OF-A-FIBER-DATABASE-AND-EVIDENCE-MAP.jpg" /><meta itemprop="width" content="1440" /><meta itemprop="height" content="810" /></div><div itemprop="interactionStatistic" itemscope itemtype="https://schema.org/InteractionCounter"><meta itemprop="interactionType" content="https://schema.org/CommentAction" /><meta itemprop="userInteractionCount" content="0" /></div> <div class="fl-post-carousel-image"> <div class="fl-photo fl-photo-crop-landscape fl-photo-align-center" itemscope itemtype="https://schema.org/ImageObject"> <div class="fl-photo-content fl-photo-img-jpg"> <a href="https://iafns.org/development-of-a-fiber-database-and-evidence-map/" target="_self" itemprop="url"> <img decoding="async" class="fl-photo-img wp-image-32330 size-medium" src="https://iafns.org/wp-content/uploads/bb-plugin/cache/IAFNS-DEVELOPMENT-OF-A-FIBER-DATABASE-AND-EVIDENCE-MAP-300x169-landscape-3570770a8d2e92ff0504a6cd0d99ad7b-.jpg" alt="IAFNS DEVELOPMENT OF A FIBER DATABASE AND EVIDENCE MAP" itemprop="image" loading="false" height="169" width="300" title="IAFNS DEVELOPMENT OF A FIBER DATABASE AND EVIDENCE MAP" /> </a> </div> </div> </div> <div class="fl-post-carousel-text"> <h2 class="fl-post-carousel-title" itemprop="headline"> <a href="https://iafns.org/development-of-a-fiber-database-and-evidence-map/" title="Development of a Fiber Database and Evidence Map">Development of a Fiber Database and Evidence Map</a> </h2> </div> </div> <div class="fl-post-carousel-post post-22519 post type-post status-publish format-standard has-post-thumbnail hentry category-carbohydrates" itemscope itemtype="https://schema.org/BlogPosting"> <meta itemscope itemprop="mainEntityOfPage" itemtype="https://schema.org/WebPage" itemid="https://iafns.org/future-research-needs-assessment-for-fructose-sugar-and-health-outcomes/" content="Future Research Needs Assessment for Fructose/Sugar and Health Outcomes" /><meta itemprop="datePublished" content="2013-04-29" /><meta itemprop="dateModified" content="2023-07-31" /><div itemprop="publisher" itemscope itemtype="https://schema.org/Organization"><meta itemprop="name" content="IAFNS"></div><div itemscope itemprop="author" itemtype="https://schema.org/Person"><meta itemprop="url" content="https://iafns.org/author/blarrick/" /><meta itemprop="name" content="blarrick" /></div><div itemscope itemprop="image" itemtype="https://schema.org/ImageObject"><meta itemprop="url" content="https://iafns.org/wp-content/uploads/2013/04/IAFNS-FUTURE-RESEARCH-NEEDS-ASSESSMENT-FOR-FRUCTOSE-SUGAR-AND-HEALTH-OUTCOMES.jpg" /><meta itemprop="width" content="1440" /><meta itemprop="height" content="810" /></div><div itemprop="interactionStatistic" itemscope itemtype="https://schema.org/InteractionCounter"><meta itemprop="interactionType" content="https://schema.org/CommentAction" /><meta itemprop="userInteractionCount" content="0" /></div> <div class="fl-post-carousel-image"> <div class="fl-photo fl-photo-crop-landscape fl-photo-align-center" itemscope itemtype="https://schema.org/ImageObject"> <div class="fl-photo-content fl-photo-img-jpg"> <a href="https://iafns.org/future-research-needs-assessment-for-fructose-sugar-and-health-outcomes/" target="_self" itemprop="url"> <img decoding="async" class="fl-photo-img wp-image-32341 size-medium" src="https://iafns.org/wp-content/uploads/bb-plugin/cache/IAFNS-FUTURE-RESEARCH-NEEDS-ASSESSMENT-FOR-FRUCTOSE-SUGAR-AND-HEALTH-OUTCOMES-300x169-landscape-533761e6371f35cd466026e84d327b92-.jpg" alt="IAFNS FUTURE RESEARCH NEEDS ASSESSMENT FOR FRUCTOSE SUGAR AND HEALTH OUTCOMES" itemprop="image" loading="false" height="169" width="300" title="IAFNS FUTURE RESEARCH NEEDS ASSESSMENT FOR FRUCTOSE SUGAR AND HEALTH OUTCOMES" /> </a> </div> </div> </div> <div class="fl-post-carousel-text"> <h2 class="fl-post-carousel-title" itemprop="headline"> <a href="https://iafns.org/future-research-needs-assessment-for-fructose-sugar-and-health-outcomes/" title="Future Research Needs Assessment for Fructose/Sugar and Health Outcomes">Future Research Needs Assessment for Fructose/Sugar and Health Outcomes</a> </h2> </div> </div> </div> <div class="fl-post-carousel-navigation" aria-label="carousel buttons"> <a class="carousel-prev" href="#" aria-label="previous" role="button"><div class="fl-post-carousel-svg-container"><svg version="1.1" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" viewBox="0 0 512 512"> <path d="M398.572,104.287L246.857,256.001l151.715,151.714c3.617,3.618,5.428,7.904,5.428,12.856c0,4.953-1.811,9.238-5.428,12.857 l-47.428,47.428c-3.619,3.619-7.904,5.428-12.857,5.428s-9.238-1.809-12.857-5.428l-212-212c-3.619-3.618-5.428-7.904-5.428-12.856 c0-4.953,1.81-9.238,5.428-12.857l212-212c3.619-3.618,7.904-5.428,12.857-5.428s9.238,1.81,12.857,5.428l47.428,47.429 C402.189,82.19,404,86.476,404,91.428c0,4.953-1.811,9.238-5.428,12.857V104.287z"/> </svg> </div></a> <a class="carousel-next" href="#" aria-label="next" role="button"><div class="fl-post-carousel-svg-container"><svg version="1.1" xmlns="http://www.w3.org/2000/svg" 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data-node="572a18a6b21bf"> <div class="fl-col-content fl-node-content"><div class="fl-module fl-module-separator fl-node-572a18a6b2263" data-node="572a18a6b2263"> <div class="fl-module-content fl-node-content"> <div class="fl-separator"></div> </div> </div> </div> </div> </div> </div> </div> </div> <div class="fl-row fl-row-fixed-width fl-row-bg-none fl-node-572a1882bca2d fl-row-default-height fl-row-align-center" data-node="572a1882bca2d"> <div class="fl-row-content-wrap"> <div class="fl-row-content fl-row-fixed-width fl-node-content"> <div class="fl-col-group fl-node-572a693f1eee8" data-node="572a693f1eee8"> <div class="fl-col fl-node-572a693f1f1e4 fl-col-small" data-node="572a693f1f1e4"> <div class="fl-col-content fl-node-content"><div class="fl-module fl-module-rich-text fl-node-572a18a6b1fc6" data-node="572a18a6b1fc6"> <div class="fl-module-content fl-node-content"> <div class="fl-rich-text"> <h2 style="text-align: center;">Publications</h2> </div> </div> </div> <div class="fl-module fl-module-rich-text fl-node-572a1882bf276" data-node="572a1882bf276"> <div class="fl-module-content fl-node-content"> <div class="fl-rich-text"> <p><div id="publications1" class="rollup-list rollup-list-publications"> <header class="rollup-list-header"> <div class="rollup-filter rollup-filter-publications"> <a class="rollup-toggle" href="#rollup-filters1"><i class="fas fa-filter"></i><span class="label">Filter</span><i class="fas fa-angle-down"></i></a> <div id="rollup-filters1" class="drop-menu menu-hidden"> <div class="rollup-filter-section"> <h6>Publication Date</h6> <ul> <li><a href="/our-work/nutrition/carbohydrates/?v2=events-recent-year-2022&v1=publications-new#publications1">Newest to Oldest</a></li> <li><a href="/our-work/nutrition/carbohydrates/?v2=events-recent-year-2022&v1=publications-old#publications1">Oldest to Newest</a></li> </ul> </div> <div class="rollup-filter-section"> <h6>Publication Title</h6> <ul> <li><a href="/our-work/nutrition/carbohydrates/?v2=events-recent-year-2022&v1=publications-az#publications1">A to Z</a></li> <li><a href="/our-work/nutrition/carbohydrates/?v2=events-recent-year-2022&v1=publications-za#publications1">Z to A</a></li> </ul> </div> <div class="rollup-filter-section"> <h6>Publication Type</h6> <ul> <li><a href="/our-work/nutrition/carbohydrates/?v2=events-recent-year-2022&v1=publications-all#publications1">All Publications</a></li> <li><a href="/our-work/nutrition/carbohydrates/?v2=events-recent-year-2022&v1=publications-type-journal-article#publications1">Journal Articles</a></li><li><a href="/our-work/nutrition/carbohydrates/?v2=events-recent-year-2022&v1=publications-type-monograph#publications1">Monographs</a></li><li><a href="/our-work/nutrition/carbohydrates/?v2=events-recent-year-2022&v1=publications-type-white-paper-report#publications1">White Papers/Reports</a></li><li><a href="/our-work/nutrition/carbohydrates/?v2=events-recent-year-2022&v1=publications-type-event-proceedings#publications1">Event Proceedings</a></li><li><a href="/our-work/nutrition/carbohydrates/?v2=events-recent-year-2022&v1=publications-type-book#publications1">Books</a></li> </ul> </div> </div> </div> </header> <section class="rollup-list-content"> <article class="excerpt post-34355 publication type-publication status-publish hentry category-carbohydrates category-dietary-lipids ilsi_committee-carbohydrates ilsi_committee-dietary-lipids ilsi_committee-lipids" role="article"> <header class="article-header"> <h3><a href="https://iafns.org/publication/restricted-carbohydrate-diets-below-45-energy-are-not-associated-with-risk-of-mortality-in-the-national-health-and-nutrition-examination-survey-1999-2018/">Restricted Carbohydrate Diets Below 45% Energy are not Associated with Risk of Mortality in the National Health and Nutrition Examination Survey, 1999–2018</a></h3> <p class="article-date"><span class="journal-name">Nutritional Epidemiology</span><span class="journal-sep">, </span>2024</p>  </header> <section class="article-content"> Dietary strategies, such as restricting carbohydrate intake, are becoming popular strategies for improving health status. </section> <section class="article-more"> <p><a href="https://iafns.org/publication/restricted-carbohydrate-diets-below-45-energy-are-not-associated-with-risk-of-mortality-in-the-national-health-and-nutrition-examination-survey-1999-2018/">Read more<span class="element-invisible"> about Restricted Carbohydrate Diets Below 45% Energy are not Associated with Risk of Mortality in the National Health and Nutrition Examination Survey, 1999–2018</span></a></p> </section> </article> <article class="excerpt post-34196 publication type-publication status-publish hentry category-carbohydrates ilsi_committee-carbohydrates" role="article"> <header class="article-header"> <h3><a href="https://iafns.org/publication/physiologic-effects-of-isolated-or-synthetic-dietary-fiber-in-children-a-scoping-review/">Physiologic Effects of Isolated or Synthetic Dietary Fiber in Children: A Scoping Review</a></h3> <p class="article-date"><span class="journal-name">Current Developments in Nutrition</span><span class="journal-sep">, </span>2024</p>  </header> <section class="article-content"> <p>Fiber is an integral part of a healthy diet. Studies have shown that the fiber intake in children is below adequate amounts, leading to adverse health outcomes.</p> </section> <section class="article-more"> <p><a href="https://iafns.org/publication/physiologic-effects-of-isolated-or-synthetic-dietary-fiber-in-children-a-scoping-review/">Read more<span class="element-invisible"> about Physiologic Effects of Isolated or Synthetic Dietary Fiber in Children: A Scoping Review</span></a></p> </section> </article> <article class="excerpt post-33194 publication type-publication status-publish hentry category-carbohydrates ilsi_committee-carbohydrates" role="article"> <header class="article-header"> <h3><a href="https://iafns.org/publication/micronutrient-intake-from-three-popular-diet-patterns-in-the-united-states-modeled-replacement-of-foods-highest-in-added-sugar-and-sodium-using-the-national-health-and-nutrition-examination-survey-2/">Micronutrient Intake from Three Popular Diet Patterns in the United States: Modeled Replacement of Foods Highest in Added Sugar and Sodium Using the National Health and Nutrition Examination Survey, 2005–2018</a></h3> <p class="article-date"><span class="journal-name">Nutritional Epidemiology</span><span class="journal-sep">, </span>2023</p>  </header> <section class="article-content"> <p>Modeled replacement of foods highest in added sugar led to more favorable changes in mean micronutrient intake compared to modeled replacement of foods highest in sodium.</p> </section> <section class="article-more"> <p><a href="https://iafns.org/publication/micronutrient-intake-from-three-popular-diet-patterns-in-the-united-states-modeled-replacement-of-foods-highest-in-added-sugar-and-sodium-using-the-national-health-and-nutrition-examination-survey-2/">Read more<span class="element-invisible"> about Micronutrient Intake from Three Popular Diet Patterns in the United States: Modeled Replacement of Foods Highest in Added Sugar and Sodium Using the National Health and Nutrition Examination Survey, 2005–2018</span></a></p> </section> </article> <article class="excerpt post-30731 publication type-publication status-publish hentry category-carbohydrates category-dietary-lipids ilsi_committee-carbohydrates ilsi_committee-dietary-lipids ilsi_committee-lipids" role="article"> <header class="article-header"> <h3><a href="https://iafns.org/publication/fat-intake-modifies-the-association-between-restricted-carbohydrate-diets-and-prevalent-cardiometabolic-diseases-among-adults-in-the-united-states-national-health-and-nutrition-examination-survey-19/">Fat Intake Modifies the Association between Restricted Carbohydrate Diets and Prevalent Cardiometabolic Diseases among Adults in the United States: National Health and Nutrition Examination Survey, 1999–2018</a></h3> <p class="article-date"><span class="journal-name">Current Developments in Nutrition</span><span class="journal-sep">, </span>2023</p>  </header> <section class="article-content"> <p>This study evaluates cross-sectional relationships between carbohydrate restricted diets and cardiometabolic diseases in adult Americans, specifically comparing how amount and type of fat affects the relationship. Diets with carbohydrate intake below recommended amounts were associated with prevalence of cardiometabolic disease.</p> </section> <section class="article-more"> <p><a href="https://iafns.org/publication/fat-intake-modifies-the-association-between-restricted-carbohydrate-diets-and-prevalent-cardiometabolic-diseases-among-adults-in-the-united-states-national-health-and-nutrition-examination-survey-19/">Read more<span class="element-invisible"> about Fat Intake Modifies the Association between Restricted Carbohydrate Diets and Prevalent Cardiometabolic Diseases among Adults in the United States: National Health and Nutrition Examination Survey, 1999–2018</span></a></p> </section> </article> <article class="excerpt post-29514 publication type-publication status-publish hentry category-carbohydrates ilsi_committee-carbohydrates" role="article"> <header class="article-header"> <h3><a href="https://iafns.org/publication/quality-of-popular-diet-patterns-in-the-united-states-evaluating-the-effect-of-substitutions-for-foods-high-in-added-sugar-sodium-saturated-fat-and-refined-grains/">Quality of Popular Diet Patterns in the United States: Evaluating the Effect of Substitutions for Foods High in Added Sugar, Sodium, Saturated Fat and Refined Grains</a></h3> <p class="article-date"><span class="journal-name">Current Developments in Nutrition</span><span class="journal-sep">, </span>2022</p>  </header> <section class="article-content"> <p>Low diet quality was observed for all popular diet patterns evaluated in this study. Greater efforts are needed to encourage the adoption of dietary patterns that emphasize consumption of a variety of high-quality food groups lower in added sugar, sodium, saturated fat and refined grains.</p> </section> <section class="article-more"> <p><a href="https://iafns.org/publication/quality-of-popular-diet-patterns-in-the-united-states-evaluating-the-effect-of-substitutions-for-foods-high-in-added-sugar-sodium-saturated-fat-and-refined-grains/">Read more<span class="element-invisible"> about Quality of Popular Diet Patterns in the United States: Evaluating the Effect of Substitutions for Foods High in Added Sugar, Sodium, Saturated Fat and Refined Grains</span></a></p> </section> </article> <div class="pagination" role="navigation"> <span aria-current="page" class="page-numbers current">1</span> <a class="page-numbers" href="/our-work/nutrition/carbohydrates/?v2=events-recent-year-2022&kp1=2#publications1">2</a> <a class="page-numbers" href="/our-work/nutrition/carbohydrates/?v2=events-recent-year-2022&kp1=3#publications1">3</a> <a class="next page-numbers" href="/our-work/nutrition/carbohydrates/?v2=events-recent-year-2022&kp1=2#publications1"><span class="label">Next</span><i class="fas fa-angle-right"></i></a></div> <pre style="display:none;font-size:12px;">WP_Query Object ( [query] => Array ( [post_type] => publication [posts_per_page] => 5 [type] => [area] => [committee] => carbohydrates [authors] => [showtitle] => false [meta_query] => Array ( [relation] => AND [0] => Array ( [key] => _ilsi_date [value] => 2019-11-23 [compare] => >= [type] => DATE ) ) [maxyears] => 5 [tax_query] => Array ( [0] => Array ( [taxonomy] => ilsi_committee [field] => name [terms] => carbohydrates ) ) [paged] => 1 [meta_key] => _ilsi_date [orderby] => meta_value [order] => DESC ) [query_vars] => Array ( [post_type] => publication [posts_per_page] => 5 [type] => [area] => [committee] => carbohydrates [authors] => [showtitle] => false 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[allow_query_attachment_by_filename:protected] => [stopwords:WP_Query:private] => [compat_fields:WP_Query:private] => Array ( [0] => query_vars_hash [1] => query_vars_changed ) [compat_methods:WP_Query:private] => Array ( [0] => init_query_flags [1] => parse_tax_query ) ) </pre> </section> </div></p> </div> </div> </div> </div> </div> <div class="fl-col fl-node-572a693f1f2a1 fl-col-small" data-node="572a693f1f2a1"> <div class="fl-col-content fl-node-content"><div class="fl-module fl-module-rich-text fl-node-572a5f36f3103" data-node="572a5f36f3103"> <div class="fl-module-content fl-node-content"> <div class="fl-rich-text"> <h2 style="text-align: center;">Events</h2> </div> </div> </div> <div class="fl-module fl-module-html fl-node-572a5f2b27a00" data-node="572a5f2b27a00"> <div class="fl-module-content fl-node-content"> <div class="fl-html"> <div id="events2" class="rollup-list rollup-list-events"> <header class="rollup-list-header"> <div class="rollup-filter rollup-filter-events"> <a class="rollup-toggle" href="#rollup-filters2"><i class="fas fa-filter"></i><span class="label">Filter</span><i class="fas fa-angle-down"></i></a> <div id="rollup-filters2" class="drop-menu menu-hidden"> <div class="rollup-filter-section"> <h6>Past Events</h6> <ul> <li><a href="/our-work/nutrition/carbohydrates/?v2=events-recent-year-2024#events2">2024</a></li><li><a href="/our-work/nutrition/carbohydrates/?v2=events-recent-year-2023#events2">2023</a></li><li><a href="/our-work/nutrition/carbohydrates/?v2=events-recent-year-2022#events2">2022</a></li><li><a href="/our-work/nutrition/carbohydrates/?v2=events-recent-year-2021#events2">2021</a></li><li><a href="/our-work/nutrition/carbohydrates/?v2=events-recent-year-2020#events2">2020</a></li><li><a href="/our-work/nutrition/carbohydrates/?v2=events-recent-year-2019#events2">2019</a></li><li><a href="/our-work/nutrition/carbohydrates/?v2=events-recent-year-2018#events2">2018</a></li><li><a href="/our-work/nutrition/carbohydrates/?v2=events-recent-year-2017#events2">2017</a></li><li><a href="/our-work/nutrition/carbohydrates/?v2=events-recent-year-2016#events2">2016</a></li><li><a href="/our-work/nutrition/carbohydrates/?v2=events-recent-year-2015#events2">2015</a></li><li><a href="/our-work/nutrition/carbohydrates/?v2=events-recent-year-2014#events2">2014</a></li><li><a href="/our-work/nutrition/carbohydrates/?v2=events-recent-year-2013#events2">2013</a></li><li><a href="/our-work/nutrition/carbohydrates/?v2=events-recent-year-2012#events2">2012</a></li><li><a href="/our-work/nutrition/carbohydrates/?v2=events-recent-year-2011#events2">2011</a></li><li><a href="/our-work/nutrition/carbohydrates/?v2=events-recent-year-2010#events2">2010</a></li> </ul> </div> </div> </div> </header> <section class="rollup-list-content"> <article class="excerpt post-27922 event type-event status-publish hentry tag-carbohydrates tag-dietary-lipids tag-gut-microbiome tag-low-calorie-sweeteners tag-protein" role="article"> <header class="article-header"> <h3><a href="https://iafns.org/event/iafns-at-nutrition-2022/">IAFNS at NUTRITION 2022</a></h3> <p class="article-date">June 14, 2022 – June 16, 2022</p> <p class="article-location">Virtual, Event</p>  </header> <section class="article-content"> <p>IAFNS was represented at the American Society for Nutrition Annual meeting – <a href="https://nutrition.org/nutrition-2022-live-online/meeting-registration/">NUTRITION 2022</a> – learn about some of our funded projects.</p> </section> <section class="article-more"> <p><a href="https://iafns.org/event/iafns-at-nutrition-2022/">Read more<span class="element-invisible"> about IAFNS at NUTRITION 2022</span></a></p> </section> </article> <pre style="display:none;font-size:12px;">WP_Query Object ( [query] => Array ( [post_type] => event [posts_per_page] => 5 [type] => [area] => [before] => 2024-11-23 [after] => [tags] => carbohydrates [showtitle] => false 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[value] => 2022-12-31 [compare] => < [compare_key] => = [alias] => mt3 [cast] => CHAR ) ) [has_or_relation:protected] => ) [date_query] => [request] => SELECT SQL_CALC_FOUND_ROWS wp_posts.ID FROM wp_posts LEFT JOIN wp_term_relationships ON (wp_posts.ID = wp_term_relationships.object_id) INNER JOIN wp_postmeta ON ( wp_posts.ID = wp_postmeta.post_id ) INNER JOIN wp_postmeta AS mt1 ON ( wp_posts.ID = mt1.post_id ) INNER JOIN wp_postmeta AS mt2 ON ( wp_posts.ID = mt2.post_id ) INNER JOIN wp_postmeta AS mt3 ON ( wp_posts.ID = mt3.post_id ) WHERE 1=1 AND ( wp_term_relationships.term_taxonomy_id IN (146) ) AND ( wp_postmeta.meta_key = '_ilsi_date' AND ( ( mt1.meta_key = '_ilsi_date' AND CAST(mt1.meta_value AS DATE) >= '2019-11-23' ) AND ( mt2.meta_key = '_ilsi_date' AND mt2.meta_value BETWEEN '2022-01-01' AND '2022-12-31' ) AND ( mt3.meta_key = '_ilsi_date' AND mt3.meta_value < '2022-12-31' ) ) ) AND ((wp_posts.post_type = 'event' AND (wp_posts.post_status = 'publish' OR wp_posts.post_status = 'acf-disabled'))) GROUP BY wp_posts.ID ORDER BY wp_postmeta.meta_value DESC LIMIT 0, 5 [posts] => Array ( [0] => WP_Post Object ( [ID] => 27922 [post_author] => 343 [post_date] => 2022-03-15 15:08:58 [post_date_gmt] => 2022-03-15 15:08:58 [post_content] =>  <p>Join IAFNS at the American Society for Nutrition Annual meeting - <a href="https://nutrition.org/nutrition-2022-live-online/meeting-registration/">NUTRITION 2022</a> - to learn about some of our funded projects.</p> <a href="#" id="fl-accordion--label-0" tabindex="0" aria-controls="fl-accordion--panel-0">Diet-Related and Gut-Derived Metabolites and Health Outcomes: A Scoping Review: Abstract Presentation Number: PO24-19-22 </a> <a href="#" id="fl-accordion--icon-0" tabindex="0" aria-controls="fl-accordion--panel-0"><i>Expand</i></a> Presenting Author: Yuanxi Jia, Johns Hopkins University<br /> Topical Area: Nutritional Microbiology/Microbiome<br /> Supported by: IAFNS <a href="https://iafns.org/our-work/nutrition/gut-microbiome/" target="_blank" rel="noopener">Gut Microbiome Committee</a><br /> For more information, see <a href="https://iafns.org/the-identification-of-microbially-derived-metabolites-as-biomarkers-what-changes-of-which-metabolites-matter-for-health/" target="_blank" rel="noopener">here.</a> <p><strong>ABSTRACT</strong></p> <p><strong>Objectives: </strong>To conduct a scoping review to map available evidence about the health impact of gut microbiota-derived metabolites in humans.</p> <p><strong>Methods: </strong>We searched PubMed and Embase for studies that assessed the health impact of gut microbiota-derived metabolites in humans. We included case-control studies, cross-sectional studies, cohort studies, and clinical trials. Any health condition was considered. Based on an initial prioritization phase informed by preliminary searching and expert input, we narrowed our scope to ten metabolites: deoxycholate or deoxycholic acid (DCA), lithocholate or lithocholic acid (LCA), glycolithocholate or glycolithocholic acid, glycodeoxycholate or glycodeoxycholic acid, tryptamine, putrescine, d-alanine, urolithins, N-acetylmannosamine, and phenylacetylglutamine. We used evidence mapping to identify evidence gaps and associations that may permit future systematic reviews. The screening was conducted in PICO Portal aided by artificial intelligence.</p> <p><strong>Results: </strong>Overall, for these 10 metabolites, we identified 352 studies with 168,072 participants. Most (326, 92.6%) were case-control studies, followed by cohort studies (14, 4.0%), clinical trials (8, 2.3%), and cross-sectional studies (6, 1.7%). Most studies assessed the following associations: DCA on hepatobiliary disorders (64 studies, 7,976 participants), colorectal cancer (19 studies, 7,461 participants), and other digestive disorders (27 studies, 2,463 participants); LCA on hepatobiliary disorders (34 studies, 4,297 participants), colorectal cancers (14 studies, 4,955 participants), and other digestive disorders (26 studies, 2,117 participants); putrescine on colorectal cancers (16 studies, 94,399 participants) and cancers excluding colorectal and hepatobiliary cancers (42 studies, 4,250 participants).</p> <p><strong>Conclusions: </strong>The association of gut microbiota-derived metabolites and human health is being examined in an increasing number of studies, most of which are case-control studies. As these metabolites hold considerable potential for elucidating microbiome-disease associations, there is a need to conduct more prospective studies including clinical trials. Moreover, systemic reviews are needed to characterize the metabolite-disease associations.</p> <p><strong>Funding Sources</strong>: Institute for the Advancement of Food and Nutrition Sciences (IAFNS)</p> <a href="#" id="fl-accordion--label-1" tabindex="0" aria-controls="fl-accordion--panel-1">Relationship Between Exposure to Dietary Sweetness and Body Weight-Related Outcomes in Adults: An Evidence Map: Abstract Presentation Number: PO08-20-22</a> <a href="#" id="fl-accordion--icon-1" tabindex="0" aria-controls="fl-accordion--panel-1"><i>Expand</i></a> Presenting Author: Kelly A. Higgins, USDA, ARS<br /> Topical Area: Dietary Patterns<br /> Supported by: IAFNS <a href="https://iafns.org/our-work/nutrition/carbohydrates/" target="_blank" rel="noopener">Carbohydrates</a> and <a href="https://iafns.org/our-work/nutrition/low-calorie-sweeteners/" target="_blank" rel="noopener">Low- and No-Calorie Sweeteners Committees</a><br /> For more information, see <a href="https://iafns.org/evidence-map-on-the-relationship-between-exposure-to-dietary-sweetness-and-body-weight-related-outcomes-in-adults/" target="_blank" rel="noopener">here. </a> <p><strong>ABSTRACT</strong></p> <p><strong>Objectives: </strong>An evidence map was conducted to characterize published research investigating dietary sweetness and body weight. The primary aim was to identify studies that investigate total dietary sweetness and body weight-related outcomes among healthy adults; the secondary aim was to map the evidence that investigates sugar, sweetener, or sweet food/beverage intake and body weight.</p> <p><strong>Methods: </strong>Using pre-registered search terms (https://osf.io/my7pb), 33,609 publications (duplicates removed) from PubMed, Cochrane Library, and Scopus were screened for inclusion. Eligible studies were cross-sectional studies, longitudinal cohort studies, case control studies, clinical trials, and systematic reviews conducted among adults (≥18 years) which investigated the associations between total dietary sweetness, sugar, sweetener (energetic or nonenergetic), or sweet food/beverage intake on body weight, body mass index, adiposity, and energy intake.</p> <p><strong>Results: </strong>A total of 824 eligible publications were identified. Two clinical trials and 5 cross-sectional studies investigated the associations between total dietary sweetness and a body weight-related outcome. An additional 630 publications were identified that investigated sugar, sweetener, or sweet food/beverage intake and body weight-related outcomes, including 225 clinical trials, 87 longitudinal cohort studies, and 298 cross-sectional studies. Ninety publications reported on dietary patterns that included sweet foods/beverages alongside other dietary components. Most studies (91%) did not measure the sweetness of the diet or individual foods consumed. Additionally, 97 systematic reviews that addressed relevant but different research questions related to sweetness exposure and body weight-related outcomes were identified.</p> <p><strong>Conclusions: </strong>While there is a breadth of evidence available from studies that investigate sugar, sweetener, and sweet food/beverage intake and body weight, there is limited evidence on the association between total dietary sweetness exposure and body weight.</p> <p><strong>Funding Sources</strong>: USDA Agricultural Research Service, Institute for the Advancement of Food and Nutrition Sciences</p> <a href="#" id="fl-accordion--label-2" tabindex="0" aria-controls="fl-accordion--panel-2">Quality of Popular Diets in the United States: Abstract Presentation Number: PO08-09-22</a> <a href="#" id="fl-accordion--icon-2" tabindex="0" aria-controls="fl-accordion--panel-2"><i>Expand</i></a> Presenting Author: Zach Conrad, William & Mary<br /> Topical Area: Dietary Patterns<br /> Supported by: IAFNS<a href="https://iafns.org/our-work/nutrition/carbohydrates/" target="_blank" rel="noopener"> Carbohydrates Committee</a><br /> For more information, see<a href="https://iafns.org/assess-macronutrient-intakes-and-diet-quality-for-contemporary-consumer-diets/" target="_blank" rel="noopener"> here.</a> <p><strong>ABSTRACT</strong></p> <p><strong>Objectives: </strong>1) Evaluate the quality of popular diets in the US, and 2) model the effect of targeted food substitutions on diet quality.</p> <p><strong>Methods: </strong>Dietary data from 34,411 adults ≥20 y were acquired from the National Health and Nutrition Examination Survey, 2005-2018. Usual dietary intake was assessed using the National Cancer Institute's usual intake methodology, and the Healthy Eating Index-2015 was used to evaluate the diet quality of eleven popular diets. A diet model was used to evaluate the effect of targeted food substitutions on diet quality.</p> <p><strong>Results: </strong>Participants that followed a pescatarian diet pattern had the highest diet quality (65.2, 95% CI: 64.0-66.4), followed by vegetarian (63.0, 62.0-63.0), very low grain (62.7, 62.2-63.3), flexible paleo (62.3, 61.1-63.4), low grain (61.2, 60.6-61.9), low-moderate grain (59.7, 59.3-60.2), omnivorous (57.8, 57.5-58.1), restricted carbohydrate (56.9, 56.6-57.3), time restricted (55.2, 54.8-55.5), moderate protein (55.0, 54.7-55.3), and high protein (51.8, 51.0-62.7). Modeled replacement of up to three daily servings of foods highest in added sugar, sodium, and saturated fat with alternative foods led to a statistically significant increase in diet quality and a decrease in energy intake for most diets (P < 0.001 for most diets).</p> <p><strong>Conclusions: </strong>Low diet quality was observed for all popular diets evaluated in this study. Modeled dietary shifts that align with recommendations to choose foods lower in added sugar, sodium, and saturated fat led to only modest improvements in diet quality but a larger reduction in energy intake. Greater efforts are needed to shift consumer perceptions away from reductionist dietary approaches that place undue emphasis on specific foods, individual macronutrients, and timing of eating, and toward healthy dietary patterns that emphasize consumption of a variety of high-quality food groups.</p> <p><strong>Funding Sources</strong>: This work was supported by the Institute for the Advancement of Food and Nutrition Sciences (IAFNS) Carbohydrate Committee. IAFNS is a nonprofit science organization that pools funding from industry collaborators and advances science through the in-kind and financial contributions from public and private sector participants. IAFNS had no role in the design, analysis, interpretation, or presentation of the data and results.</p> <a href="#" id="fl-accordion--label-3" tabindex="0" aria-controls="fl-accordion--panel-3">Association Between Restricted Carbohydrate Diets and Cardiometabolic Disease: Abstract Presentation Number: PO22-26-22</a> <a href="#" id="fl-accordion--icon-3" tabindex="0" aria-controls="fl-accordion--panel-3"><i>Expand</i></a> Presenting Author: Corina Kowalski, William & Mary<br /> Topical Area: Nutritional Epidemiology<br /> Supported by: IAFNS <a href="https://iafns.org/our-work/nutrition/carbohydrates/" target="_blank" rel="noopener">Carbohydrate</a> and <a href="https://iafns.org/our-work/nutrition/dietary-lipids/" target="_blank" rel="noopener">Lipids Committees </a><br /> For more information, see <a href="https://iafns.org/assess-macronutrient-intakes-and-diet-quality-for-contemporary-consumer-diets/" target="_blank" rel="noopener">here</a>. <p><strong>ABSTRACT</strong></p> <p><strong>Objectives: </strong>This study evaluated the association between restricted carbohydrate diets and prevalent cardiometabolic disease (CMD), stratified by fat intake.</p> <p><strong>Methods: </strong>Dietary and CMD data were obtained from 19,078 participants ≥20 y in the National Health and Nutrition Examination Survey (NHANES) 1999-2018. The National Cancer Institute (NCI) methodology was used to assess usual intake of foods and nutrients.</p> <p><strong>Results: </strong>Compared to individuals that met all macronutrient<u> </u>recommendations, those consuming restricted carbohydrate diets ( < 45%en) were 1.123 (95% CI 1.113-1.133) times as likely to have CMD, and those consuming the recommended amount of carbohydrates only were 1.060 (1.058-1.062) times as likely to have CMD. Higher intakes of saturated and polyunsaturated fat were associated with greater prevalence of CMD in restricted and recommended carbohydrate intake groups. Higher intakes of monounsaturated fat were associated with lower prevalence of CMD among participants that met carbohydrate recommendations only.</p> <p><strong>Conclusions: </strong>Participants that consumed restricted carbohydrate diets were more likely to have CMD compared to participants that met all macronutrient recommendations, and this association was modified by fat intake. Greater efforts are needed to understand longitudinal associations between carbohydrate intake and CMD.</p> <p><strong>Funding Sources</strong>: This work was supported by the Institute for the Advancement of Food and Nutrition Sciences (IAFNS) Carbohydrate and Lipid Committees. IAFNS is a nonprofit science organization that pools funding from industry collaborators and advances science through the in-kind and financial contributions from public and private sector participants. IAFNS had no role in the design, analysis, interpretation, or presentation of the data and results.</p> <a href="#" id="fl-accordion--label-4" tabindex="0" aria-controls="fl-accordion--panel-4">Restricted Carbohydrate Diets High in Fat Are Associated With Increased Likelihood of Prevalent Metabolic Syndrome: Abstract Presentation Number: PO22-13-22</a> <a href="#" id="fl-accordion--icon-4" tabindex="0" aria-controls="fl-accordion--panel-4"><i>Expand</i></a> Presenting Author: Dakota Dustin, The Ohio State University<br /> Topical Area: Nutritional Epidemiology<br /> Supported by: IAFNS <a href="https://iafns.org/our-work/nutrition/carbohydrates/" target="_blank" rel="noopener">Carbohydrate</a> and <a href="https://iafns.org/our-work/nutrition/dietary-lipids/" target="_blank" rel="noopener">Lipids Committees</a><br /> For more information, see <a href="https://iafns.org/assess-macronutrient-intakes-and-diet-quality-for-contemporary-consumer-diets/" target="_blank" rel="noopener">here.</a> <p><strong>ABSTRACT</strong></p> <p><strong>Objectives: </strong>This study evaluated the association between a restricted carbohydrate diet ( < 45% energy from carbohydrate) and metabolic syndrome stratified by fatty acid classes in a nationally representative sample of U.S adults.</p> <p><strong>Methods: </strong>Data on food and nutrient intake, and markers of metabolic syndrome, were obtained from 19,078 respondents ≥20 y in the National Health and Nutrition Examination Survey (NHANES) 1999-2018. The National Cancer Institute's usual intake methodology was used to evaluate the associations between usual dietary intake and prevalent metabolic syndrome.</p> <p><strong>Results: </strong>Compared to individuals that met all AMDR macronutrient recommendations, the odds of having metabolic syndrome were 1.085 (95%CI: 1.077-1.094) times higher among those that consumed a restricted carbohydrate diet (P < 0.001) and 1.115 (1.153-1.156) times higher for those that met only current recommendations for total carbohydrates (P < 0.001). Higher fat intake, regardless of class, was associated with increased likelihood of metabolic syndrome among individuals that consumed restricted carbohydrate diets but not among individuals that met current carbohydrate recommendations.</p> <p><strong>Conclusions: </strong>The likelihood of prevalent metabolic syndrome was moderately higher (8.5%) among individuals that consumed restricted carbohydrate diets compared to individuals that met all macronutrient recommendations. High intake of fat of any class was associated with increased likelihood of metabolic syndrome in those consuming a restricted carbohydrate diet.</p> <p><strong>Funding Sources</strong>: This work was supported by the Institute for the Advancement of Food and Nutrition Sciences (IAFNS) Carbohydrate and Lipid Committees. IAFNS is a nonprofit science organization that pools funding from industry collaborators and advances science through the in-kind and financial contributions from public and private sector participants. IAFNS had no role in the design, analysis, interpretation, or presentation of the data and results.</p> <p> </p> <a href="#" id="fl-accordion--label-5" tabindex="0" aria-controls="fl-accordion--panel-5">Associations Between Essential Amino Acids and Functional Health Outcomes in Older Adults: Analysis of the National Health and Nutrition Examination Survey, 2001-2018:Abstract Presentation Number: PO22-09-22</a> <a href="#" id="fl-accordion--icon-5" tabindex="0" aria-controls="fl-accordion--panel-5"><i>Expand</i></a> Abstract Topical Area: Nutritional Epidemiology, FSU Metabolic Kitchen & Diet Assessment Center<br /> Presenting Author: Susan Cheung<br /> Supported by: IAFNS <a href="https://iafns.org/our-work/nutrition/protein/" target="_blank" rel="noopener">Protein Committee</a><br /> For more information, see <a href="https://iafns.org/advancing-the-understanding-of-specific-essential-amino-acid-intakes-and-health-benefits-among-older-adults-in-north-america/" target="_blank" rel="noopener">here</a>. <p><strong>ABSTRACT:</strong></p> <p><strong>Objectives: </strong>Little is known about the relationships between habitual essential amino acid (EAA) intake and functional health in older US adults. This cross-sectional study investigates associations between usual EAA intakes and body composition, muscle strength, and physical function in US adults ≥ 65 y.</p> <p><strong>Methods: </strong>The Food and Nutrient Database for Dietary Studies (FNDDS) 2001-2018 was linked to USDA FoodData Central to access existing EAA composition data for FNDDS ingredients. FNDDS ingredients without existing EAA data were matched to similar ingredient codes with available EAA data. Usual intakes of EAA, leucine, lysine, and sulfur-containing AAs (SAA; methionine + cysteine) from NHANES 2001-2018 were calculated as relative [mg/kg ideal body weight (IBW)/d] and absolute (g/d) intakes for individuals ≥ 65 y (n=10,843). Dependent variables were muscle strength measured by isometric grip test, BMI, waist circumference (WC), DXA-measured appendicular lean mass and whole-body fat mass, and self-reported physical function. Regression analyses were used to determine covariate-adjusted relationships between EAA, leucine, lysine, and SAA intake and functional health outcomes. P < 0.0013 was considered significant.</p> <p><strong>Results: </strong>Absolute and relative EAA, leucine, lysine, and SAA intakes were not associated with muscle strength or self-reported physical function in males or females or with body composition in males. Absolute EAA intakes (per g) were associated with WC in females (β ± SEM, 2.1 ± 0.6 cm, P = 0.0007). Absolute lysine intakes (per g) were associated with BMI (3.0 ± 0.7 kg/m<sup>2</sup>, P < 0.0001) and WC (7.0 ± 1.7 cm, P = 0.0001) in females. Relative EAA, leucine, and lysine intakes (per mg/kg IBW) were associated with BMI (0.07 ± 0.02, 0.26 ± 0.07, and 0.25 ± 0.04 kg/m<sup>2</sup>, respectively; P ≤ 0.0004 for all) and WC (0.18 ± 0.03, 0.81 ± 0.17, and 0.64 ± 0.10 cm, respectively; P < 0.0001 for all) in females. Relative lysine intakes (per mg/kg IBW) were associated with whole body fat mass (0.24 ± 0.07 kg, P = 0.0006) in females.</p> <p><strong>Conclusions: </strong>EAA intakes, particularly lysine, were positively associated with measures of adiposity in women ≥ 65 y. Investigating sources of lysine intake may provide insight about which foods or food groups are driving this relationship.</p> <p><strong>Funding Sources</strong>: IAFNS Protein Committee, USAMRDC, DoD Center Alliance for Nutrition and Dietary Supplements Research</p> <a href="#" id="fl-accordion--label-6" tabindex="0" aria-controls="fl-accordion--panel-6">Amino Acid Intake and Conformance With the Dietary Reference Intakes in the United States: Analysis of the National Health and Nutrition Examination Survey, 2001-2018: Abstract Presentation Number: PO22-06-22</a> <a href="#" id="fl-accordion--icon-6" tabindex="0" aria-controls="fl-accordion--panel-6"><i>Expand</i></a> Abstract Topical Area: Nutritional Epidemiology<br /> Presenting Author: Claire Berryman, Florida State University<br /> Supported by: IAFNS <a href="https://iafns.org/our-work/nutrition/protein/" target="_blank" rel="noopener">Protein Committee</a><br /> For more information, see <a href="https://iafns.org/advancing-the-understanding-of-specific-essential-amino-acid-intakes-and-health-benefits-among-older-adults-in-north-america/" target="_blank" rel="noopener">here.</a> <strong>ABSTRACT</strong><br /> <strong>Objectives:</strong> The lack of complete amino acid composition data in food composition databases has made determining population-wide amino acid intake difficult. This cross-sectional study characterizes habitual intakes of each amino acid and adherence to dietary requirements for each essential amino acid (EAA) by age, gender, and race/ethnicity in the US population. <p><strong>Methods:</strong> Food and Nutrient Database for Dietary Studies ingredient codes with missing amino acid composition data were matched to similar ingredients with available data, so that amino acid composition could be determined for virtually 100% of foods reported in What We Eat in America, the dietary intake assessment component of NHANES. Amino acid intakes during 2-y cycles of NHANES 2001-2018 (n = 84,629; ≥ 2y) were calculated as relative [mg/kg of ideal body weight (IBW)/d] and absolute (g/d) intakes. Data from NHANES 2011-2018 were used to determine the percentage of the population consuming less than the Dietary Reference Intakes for each EAA by age, sex, and race/ethnicity.</p> <p><strong>Results:</strong> Relative intakes of EAAs were greatest in those 2-3 y (females: 1552 ± 9 and males: 1659 ± 9 mg/kg IBW/d) and lowest in those ≥ 80 y (females: 446 ± 2 and males: 461 ± 3 mg/kg IBW/d). Absolute intakes of EAAs were greatest in those 31-50 y (females: 31.4 ± 0.1 and males: 45.5 ± 0.1 g/d) and lowest in those 2-3 y (females: 22.4 ± 0.1 and males: 26.0 ± 0.1 g/d). In individuals 2-18 y and ≥ 19 y, relative intakes of EAAs were lowest in the NHB population (860 ± 16 and 505 ± 5 mg/kg IBW/d, respectively) and highest in the Asian population (994 ± 35 and 580 ± 7 mg/kg IBW/d, respectively). Less than 1% of individuals ≥ 19 y were not meeting the Estimated Average Requirements for each EAA.</p> <p><strong>Conclusions:</strong> Individual amino acid intakes in the US population exceed recommended minimum population requirements. Future studies can use the method described here to quantify habitual amino acid intake and examine relationships with health and disease.</p> <p><strong>Funding Sources:</strong> Institute for the Advancement of Food and Nutrition Sciences (IAFNS) Protein Committee, US Army Medical Research and Development Command, and the Department of Defense Center Alliance for Nutrition and Dietary Supplements Research.</p>  [post_title] => IAFNS at NUTRITION 2022 [post_excerpt] => [post_status] => publish [comment_status] => closed [ping_status] => closed [post_password] => [post_name] => iafns-at-nutrition-2022 [to_ping] => [pinged] => [post_modified] => 2024-07-17 15:56:22 [post_modified_gmt] => 2024-07-17 19:56:22 [post_content_filtered] => [post_parent] => 0 [guid] => https://iafns.org/?post_type=event&p=27922 [menu_order] => 0 [post_type] => event [post_mime_type] => [comment_count] => 0 [filter] => raw ) ) [post_count] => 1 [current_post] => -1 [before_loop] => [in_the_loop] => [post] => WP_Post Object ( [ID] => 27922 [post_author] => 343 [post_date] => 2022-03-15 15:08:58 [post_date_gmt] => 2022-03-15 15:08:58 [post_content] =>  <p>Join IAFNS at the American Society for Nutrition Annual meeting - <a href="https://nutrition.org/nutrition-2022-live-online/meeting-registration/">NUTRITION 2022</a> - to learn about some of our funded projects.</p> <a href="#" id="fl-accordion--label-0" tabindex="0" aria-controls="fl-accordion--panel-0">Diet-Related and Gut-Derived Metabolites and Health Outcomes: A Scoping Review: Abstract Presentation Number: PO24-19-22 </a> <a href="#" id="fl-accordion--icon-0" tabindex="0" aria-controls="fl-accordion--panel-0"><i>Expand</i></a> Presenting Author: Yuanxi Jia, Johns Hopkins University<br /> Topical Area: Nutritional Microbiology/Microbiome<br /> Supported by: IAFNS <a href="https://iafns.org/our-work/nutrition/gut-microbiome/" target="_blank" rel="noopener">Gut Microbiome Committee</a><br /> For more information, see <a href="https://iafns.org/the-identification-of-microbially-derived-metabolites-as-biomarkers-what-changes-of-which-metabolites-matter-for-health/" target="_blank" rel="noopener">here.</a> <p><strong>ABSTRACT</strong></p> <p><strong>Objectives: </strong>To conduct a scoping review to map available evidence about the health impact of gut microbiota-derived metabolites in humans.</p> <p><strong>Methods: </strong>We searched PubMed and Embase for studies that assessed the health impact of gut microbiota-derived metabolites in humans. We included case-control studies, cross-sectional studies, cohort studies, and clinical trials. Any health condition was considered. Based on an initial prioritization phase informed by preliminary searching and expert input, we narrowed our scope to ten metabolites: deoxycholate or deoxycholic acid (DCA), lithocholate or lithocholic acid (LCA), glycolithocholate or glycolithocholic acid, glycodeoxycholate or glycodeoxycholic acid, tryptamine, putrescine, d-alanine, urolithins, N-acetylmannosamine, and phenylacetylglutamine. We used evidence mapping to identify evidence gaps and associations that may permit future systematic reviews. The screening was conducted in PICO Portal aided by artificial intelligence.</p> <p><strong>Results: </strong>Overall, for these 10 metabolites, we identified 352 studies with 168,072 participants. Most (326, 92.6%) were case-control studies, followed by cohort studies (14, 4.0%), clinical trials (8, 2.3%), and cross-sectional studies (6, 1.7%). Most studies assessed the following associations: DCA on hepatobiliary disorders (64 studies, 7,976 participants), colorectal cancer (19 studies, 7,461 participants), and other digestive disorders (27 studies, 2,463 participants); LCA on hepatobiliary disorders (34 studies, 4,297 participants), colorectal cancers (14 studies, 4,955 participants), and other digestive disorders (26 studies, 2,117 participants); putrescine on colorectal cancers (16 studies, 94,399 participants) and cancers excluding colorectal and hepatobiliary cancers (42 studies, 4,250 participants).</p> <p><strong>Conclusions: </strong>The association of gut microbiota-derived metabolites and human health is being examined in an increasing number of studies, most of which are case-control studies. As these metabolites hold considerable potential for elucidating microbiome-disease associations, there is a need to conduct more prospective studies including clinical trials. Moreover, systemic reviews are needed to characterize the metabolite-disease associations.</p> <p><strong>Funding Sources</strong>: Institute for the Advancement of Food and Nutrition Sciences (IAFNS)</p> <a href="#" id="fl-accordion--label-1" tabindex="0" aria-controls="fl-accordion--panel-1">Relationship Between Exposure to Dietary Sweetness and Body Weight-Related Outcomes in Adults: An Evidence Map: Abstract Presentation Number: PO08-20-22</a> <a href="#" id="fl-accordion--icon-1" tabindex="0" aria-controls="fl-accordion--panel-1"><i>Expand</i></a> Presenting Author: Kelly A. Higgins, USDA, ARS<br /> Topical Area: Dietary Patterns<br /> Supported by: IAFNS <a href="https://iafns.org/our-work/nutrition/carbohydrates/" target="_blank" rel="noopener">Carbohydrates</a> and <a href="https://iafns.org/our-work/nutrition/low-calorie-sweeteners/" target="_blank" rel="noopener">Low- and No-Calorie Sweeteners Committees</a><br /> For more information, see <a href="https://iafns.org/evidence-map-on-the-relationship-between-exposure-to-dietary-sweetness-and-body-weight-related-outcomes-in-adults/" target="_blank" rel="noopener">here. </a> <p><strong>ABSTRACT</strong></p> <p><strong>Objectives: </strong>An evidence map was conducted to characterize published research investigating dietary sweetness and body weight. The primary aim was to identify studies that investigate total dietary sweetness and body weight-related outcomes among healthy adults; the secondary aim was to map the evidence that investigates sugar, sweetener, or sweet food/beverage intake and body weight.</p> <p><strong>Methods: </strong>Using pre-registered search terms (https://osf.io/my7pb), 33,609 publications (duplicates removed) from PubMed, Cochrane Library, and Scopus were screened for inclusion. Eligible studies were cross-sectional studies, longitudinal cohort studies, case control studies, clinical trials, and systematic reviews conducted among adults (≥18 years) which investigated the associations between total dietary sweetness, sugar, sweetener (energetic or nonenergetic), or sweet food/beverage intake on body weight, body mass index, adiposity, and energy intake.</p> <p><strong>Results: </strong>A total of 824 eligible publications were identified. Two clinical trials and 5 cross-sectional studies investigated the associations between total dietary sweetness and a body weight-related outcome. An additional 630 publications were identified that investigated sugar, sweetener, or sweet food/beverage intake and body weight-related outcomes, including 225 clinical trials, 87 longitudinal cohort studies, and 298 cross-sectional studies. Ninety publications reported on dietary patterns that included sweet foods/beverages alongside other dietary components. Most studies (91%) did not measure the sweetness of the diet or individual foods consumed. Additionally, 97 systematic reviews that addressed relevant but different research questions related to sweetness exposure and body weight-related outcomes were identified.</p> <p><strong>Conclusions: </strong>While there is a breadth of evidence available from studies that investigate sugar, sweetener, and sweet food/beverage intake and body weight, there is limited evidence on the association between total dietary sweetness exposure and body weight.</p> <p><strong>Funding Sources</strong>: USDA Agricultural Research Service, Institute for the Advancement of Food and Nutrition Sciences</p> <a href="#" id="fl-accordion--label-2" tabindex="0" aria-controls="fl-accordion--panel-2">Quality of Popular Diets in the United States: Abstract Presentation Number: PO08-09-22</a> <a href="#" id="fl-accordion--icon-2" tabindex="0" aria-controls="fl-accordion--panel-2"><i>Expand</i></a> Presenting Author: Zach Conrad, William & Mary<br /> Topical Area: Dietary Patterns<br /> Supported by: IAFNS<a href="https://iafns.org/our-work/nutrition/carbohydrates/" target="_blank" rel="noopener"> Carbohydrates Committee</a><br /> For more information, see<a href="https://iafns.org/assess-macronutrient-intakes-and-diet-quality-for-contemporary-consumer-diets/" target="_blank" rel="noopener"> here.</a> <p><strong>ABSTRACT</strong></p> <p><strong>Objectives: </strong>1) Evaluate the quality of popular diets in the US, and 2) model the effect of targeted food substitutions on diet quality.</p> <p><strong>Methods: </strong>Dietary data from 34,411 adults ≥20 y were acquired from the National Health and Nutrition Examination Survey, 2005-2018. Usual dietary intake was assessed using the National Cancer Institute's usual intake methodology, and the Healthy Eating Index-2015 was used to evaluate the diet quality of eleven popular diets. A diet model was used to evaluate the effect of targeted food substitutions on diet quality.</p> <p><strong>Results: </strong>Participants that followed a pescatarian diet pattern had the highest diet quality (65.2, 95% CI: 64.0-66.4), followed by vegetarian (63.0, 62.0-63.0), very low grain (62.7, 62.2-63.3), flexible paleo (62.3, 61.1-63.4), low grain (61.2, 60.6-61.9), low-moderate grain (59.7, 59.3-60.2), omnivorous (57.8, 57.5-58.1), restricted carbohydrate (56.9, 56.6-57.3), time restricted (55.2, 54.8-55.5), moderate protein (55.0, 54.7-55.3), and high protein (51.8, 51.0-62.7). Modeled replacement of up to three daily servings of foods highest in added sugar, sodium, and saturated fat with alternative foods led to a statistically significant increase in diet quality and a decrease in energy intake for most diets (P < 0.001 for most diets).</p> <p><strong>Conclusions: </strong>Low diet quality was observed for all popular diets evaluated in this study. Modeled dietary shifts that align with recommendations to choose foods lower in added sugar, sodium, and saturated fat led to only modest improvements in diet quality but a larger reduction in energy intake. Greater efforts are needed to shift consumer perceptions away from reductionist dietary approaches that place undue emphasis on specific foods, individual macronutrients, and timing of eating, and toward healthy dietary patterns that emphasize consumption of a variety of high-quality food groups.</p> <p><strong>Funding Sources</strong>: This work was supported by the Institute for the Advancement of Food and Nutrition Sciences (IAFNS) Carbohydrate Committee. IAFNS is a nonprofit science organization that pools funding from industry collaborators and advances science through the in-kind and financial contributions from public and private sector participants. IAFNS had no role in the design, analysis, interpretation, or presentation of the data and results.</p> <a href="#" id="fl-accordion--label-3" tabindex="0" aria-controls="fl-accordion--panel-3">Association Between Restricted Carbohydrate Diets and Cardiometabolic Disease: Abstract Presentation Number: PO22-26-22</a> <a href="#" id="fl-accordion--icon-3" tabindex="0" aria-controls="fl-accordion--panel-3"><i>Expand</i></a> Presenting Author: Corina Kowalski, William & Mary<br /> Topical Area: Nutritional Epidemiology<br /> Supported by: IAFNS <a href="https://iafns.org/our-work/nutrition/carbohydrates/" target="_blank" rel="noopener">Carbohydrate</a> and <a href="https://iafns.org/our-work/nutrition/dietary-lipids/" target="_blank" rel="noopener">Lipids Committees </a><br /> For more information, see <a href="https://iafns.org/assess-macronutrient-intakes-and-diet-quality-for-contemporary-consumer-diets/" target="_blank" rel="noopener">here</a>. <p><strong>ABSTRACT</strong></p> <p><strong>Objectives: </strong>This study evaluated the association between restricted carbohydrate diets and prevalent cardiometabolic disease (CMD), stratified by fat intake.</p> <p><strong>Methods: </strong>Dietary and CMD data were obtained from 19,078 participants ≥20 y in the National Health and Nutrition Examination Survey (NHANES) 1999-2018. The National Cancer Institute (NCI) methodology was used to assess usual intake of foods and nutrients.</p> <p><strong>Results: </strong>Compared to individuals that met all macronutrient<u> </u>recommendations, those consuming restricted carbohydrate diets ( < 45%en) were 1.123 (95% CI 1.113-1.133) times as likely to have CMD, and those consuming the recommended amount of carbohydrates only were 1.060 (1.058-1.062) times as likely to have CMD. Higher intakes of saturated and polyunsaturated fat were associated with greater prevalence of CMD in restricted and recommended carbohydrate intake groups. Higher intakes of monounsaturated fat were associated with lower prevalence of CMD among participants that met carbohydrate recommendations only.</p> <p><strong>Conclusions: </strong>Participants that consumed restricted carbohydrate diets were more likely to have CMD compared to participants that met all macronutrient recommendations, and this association was modified by fat intake. Greater efforts are needed to understand longitudinal associations between carbohydrate intake and CMD.</p> <p><strong>Funding Sources</strong>: This work was supported by the Institute for the Advancement of Food and Nutrition Sciences (IAFNS) Carbohydrate and Lipid Committees. IAFNS is a nonprofit science organization that pools funding from industry collaborators and advances science through the in-kind and financial contributions from public and private sector participants. IAFNS had no role in the design, analysis, interpretation, or presentation of the data and results.</p> <a href="#" id="fl-accordion--label-4" tabindex="0" aria-controls="fl-accordion--panel-4">Restricted Carbohydrate Diets High in Fat Are Associated With Increased Likelihood of Prevalent Metabolic Syndrome: Abstract Presentation Number: PO22-13-22</a> <a href="#" id="fl-accordion--icon-4" tabindex="0" aria-controls="fl-accordion--panel-4"><i>Expand</i></a> Presenting Author: Dakota Dustin, The Ohio State University<br /> Topical Area: Nutritional Epidemiology<br /> Supported by: IAFNS <a href="https://iafns.org/our-work/nutrition/carbohydrates/" target="_blank" rel="noopener">Carbohydrate</a> and <a href="https://iafns.org/our-work/nutrition/dietary-lipids/" target="_blank" rel="noopener">Lipids Committees</a><br /> For more information, see <a href="https://iafns.org/assess-macronutrient-intakes-and-diet-quality-for-contemporary-consumer-diets/" target="_blank" rel="noopener">here.</a> <p><strong>ABSTRACT</strong></p> <p><strong>Objectives: </strong>This study evaluated the association between a restricted carbohydrate diet ( < 45% energy from carbohydrate) and metabolic syndrome stratified by fatty acid classes in a nationally representative sample of U.S adults.</p> <p><strong>Methods: </strong>Data on food and nutrient intake, and markers of metabolic syndrome, were obtained from 19,078 respondents ≥20 y in the National Health and Nutrition Examination Survey (NHANES) 1999-2018. The National Cancer Institute's usual intake methodology was used to evaluate the associations between usual dietary intake and prevalent metabolic syndrome.</p> <p><strong>Results: </strong>Compared to individuals that met all AMDR macronutrient recommendations, the odds of having metabolic syndrome were 1.085 (95%CI: 1.077-1.094) times higher among those that consumed a restricted carbohydrate diet (P < 0.001) and 1.115 (1.153-1.156) times higher for those that met only current recommendations for total carbohydrates (P < 0.001). Higher fat intake, regardless of class, was associated with increased likelihood of metabolic syndrome among individuals that consumed restricted carbohydrate diets but not among individuals that met current carbohydrate recommendations.</p> <p><strong>Conclusions: </strong>The likelihood of prevalent metabolic syndrome was moderately higher (8.5%) among individuals that consumed restricted carbohydrate diets compared to individuals that met all macronutrient recommendations. High intake of fat of any class was associated with increased likelihood of metabolic syndrome in those consuming a restricted carbohydrate diet.</p> <p><strong>Funding Sources</strong>: This work was supported by the Institute for the Advancement of Food and Nutrition Sciences (IAFNS) Carbohydrate and Lipid Committees. IAFNS is a nonprofit science organization that pools funding from industry collaborators and advances science through the in-kind and financial contributions from public and private sector participants. IAFNS had no role in the design, analysis, interpretation, or presentation of the data and results.</p> <p> </p> <a href="#" id="fl-accordion--label-5" tabindex="0" aria-controls="fl-accordion--panel-5">Associations Between Essential Amino Acids and Functional Health Outcomes in Older Adults: Analysis of the National Health and Nutrition Examination Survey, 2001-2018:Abstract Presentation Number: PO22-09-22</a> <a href="#" id="fl-accordion--icon-5" tabindex="0" aria-controls="fl-accordion--panel-5"><i>Expand</i></a> Abstract Topical Area: Nutritional Epidemiology, FSU Metabolic Kitchen & Diet Assessment Center<br /> Presenting Author: Susan Cheung<br /> Supported by: IAFNS <a href="https://iafns.org/our-work/nutrition/protein/" target="_blank" rel="noopener">Protein Committee</a><br /> For more information, see <a href="https://iafns.org/advancing-the-understanding-of-specific-essential-amino-acid-intakes-and-health-benefits-among-older-adults-in-north-america/" target="_blank" rel="noopener">here</a>. <p><strong>ABSTRACT:</strong></p> <p><strong>Objectives: </strong>Little is known about the relationships between habitual essential amino acid (EAA) intake and functional health in older US adults. This cross-sectional study investigates associations between usual EAA intakes and body composition, muscle strength, and physical function in US adults ≥ 65 y.</p> <p><strong>Methods: </strong>The Food and Nutrient Database for Dietary Studies (FNDDS) 2001-2018 was linked to USDA FoodData Central to access existing EAA composition data for FNDDS ingredients. FNDDS ingredients without existing EAA data were matched to similar ingredient codes with available EAA data. Usual intakes of EAA, leucine, lysine, and sulfur-containing AAs (SAA; methionine + cysteine) from NHANES 2001-2018 were calculated as relative [mg/kg ideal body weight (IBW)/d] and absolute (g/d) intakes for individuals ≥ 65 y (n=10,843). Dependent variables were muscle strength measured by isometric grip test, BMI, waist circumference (WC), DXA-measured appendicular lean mass and whole-body fat mass, and self-reported physical function. Regression analyses were used to determine covariate-adjusted relationships between EAA, leucine, lysine, and SAA intake and functional health outcomes. P < 0.0013 was considered significant.</p> <p><strong>Results: </strong>Absolute and relative EAA, leucine, lysine, and SAA intakes were not associated with muscle strength or self-reported physical function in males or females or with body composition in males. Absolute EAA intakes (per g) were associated with WC in females (β ± SEM, 2.1 ± 0.6 cm, P = 0.0007). Absolute lysine intakes (per g) were associated with BMI (3.0 ± 0.7 kg/m<sup>2</sup>, P < 0.0001) and WC (7.0 ± 1.7 cm, P = 0.0001) in females. Relative EAA, leucine, and lysine intakes (per mg/kg IBW) were associated with BMI (0.07 ± 0.02, 0.26 ± 0.07, and 0.25 ± 0.04 kg/m<sup>2</sup>, respectively; P ≤ 0.0004 for all) and WC (0.18 ± 0.03, 0.81 ± 0.17, and 0.64 ± 0.10 cm, respectively; P < 0.0001 for all) in females. Relative lysine intakes (per mg/kg IBW) were associated with whole body fat mass (0.24 ± 0.07 kg, P = 0.0006) in females.</p> <p><strong>Conclusions: </strong>EAA intakes, particularly lysine, were positively associated with measures of adiposity in women ≥ 65 y. Investigating sources of lysine intake may provide insight about which foods or food groups are driving this relationship.</p> <p><strong>Funding Sources</strong>: IAFNS Protein Committee, USAMRDC, DoD Center Alliance for Nutrition and Dietary Supplements Research</p> <a href="#" id="fl-accordion--label-6" tabindex="0" aria-controls="fl-accordion--panel-6">Amino Acid Intake and Conformance With the Dietary Reference Intakes in the United States: Analysis of the National Health and Nutrition Examination Survey, 2001-2018: Abstract Presentation Number: PO22-06-22</a> <a href="#" id="fl-accordion--icon-6" tabindex="0" aria-controls="fl-accordion--panel-6"><i>Expand</i></a> Abstract Topical Area: Nutritional Epidemiology<br /> Presenting Author: Claire Berryman, Florida State University<br /> Supported by: IAFNS <a href="https://iafns.org/our-work/nutrition/protein/" target="_blank" rel="noopener">Protein Committee</a><br /> For more information, see <a href="https://iafns.org/advancing-the-understanding-of-specific-essential-amino-acid-intakes-and-health-benefits-among-older-adults-in-north-america/" target="_blank" rel="noopener">here.</a> <strong>ABSTRACT</strong><br /> <strong>Objectives:</strong> The lack of complete amino acid composition data in food composition databases has made determining population-wide amino acid intake difficult. This cross-sectional study characterizes habitual intakes of each amino acid and adherence to dietary requirements for each essential amino acid (EAA) by age, gender, and race/ethnicity in the US population. <p><strong>Methods:</strong> Food and Nutrient Database for Dietary Studies ingredient codes with missing amino acid composition data were matched to similar ingredients with available data, so that amino acid composition could be determined for virtually 100% of foods reported in What We Eat in America, the dietary intake assessment component of NHANES. Amino acid intakes during 2-y cycles of NHANES 2001-2018 (n = 84,629; ≥ 2y) were calculated as relative [mg/kg of ideal body weight (IBW)/d] and absolute (g/d) intakes. Data from NHANES 2011-2018 were used to determine the percentage of the population consuming less than the Dietary Reference Intakes for each EAA by age, sex, and race/ethnicity.</p> <p><strong>Results:</strong> Relative intakes of EAAs were greatest in those 2-3 y (females: 1552 ± 9 and males: 1659 ± 9 mg/kg IBW/d) and lowest in those ≥ 80 y (females: 446 ± 2 and males: 461 ± 3 mg/kg IBW/d). Absolute intakes of EAAs were greatest in those 31-50 y (females: 31.4 ± 0.1 and males: 45.5 ± 0.1 g/d) and lowest in those 2-3 y (females: 22.4 ± 0.1 and males: 26.0 ± 0.1 g/d). In individuals 2-18 y and ≥ 19 y, relative intakes of EAAs were lowest in the NHB population (860 ± 16 and 505 ± 5 mg/kg IBW/d, respectively) and highest in the Asian population (994 ± 35 and 580 ± 7 mg/kg IBW/d, respectively). Less than 1% of individuals ≥ 19 y were not meeting the Estimated Average Requirements for each EAA.</p> <p><strong>Conclusions:</strong> Individual amino acid intakes in the US population exceed recommended minimum population requirements. Future studies can use the method described here to quantify habitual amino acid intake and examine relationships with health and disease.</p> <p><strong>Funding Sources:</strong> Institute for the Advancement of Food and Nutrition Sciences (IAFNS) Protein Committee, US Army Medical Research and Development Command, and the Department of Defense Center Alliance for Nutrition and Dietary Supplements Research.</p>  [post_title] => IAFNS at NUTRITION 2022 [post_excerpt] => [post_status] => publish [comment_status] => closed [ping_status] => closed [post_password] => [post_name] => iafns-at-nutrition-2022 [to_ping] => [pinged] => [post_modified] => 2024-07-17 15:56:22 [post_modified_gmt] => 2024-07-17 19:56:22 [post_content_filtered] => [post_parent] => 0 [guid] => https://iafns.org/?post_type=event&p=27922 [menu_order] => 0 [post_type] => event [post_mime_type] => [comment_count] => 0 [filter] => raw ) [comment_count] => 0 [current_comment] => -1 [found_posts] => 1 [max_num_pages] => 1 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