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<journal-id journal-id-type="publisher-id">Front. Nutr.</journal-id>
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<journal-title>Frontiers in Nutrition</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Nutr.</abbrev-journal-title>
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<issn pub-type="epub">2296-861X</issn>
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<publisher-name>Frontiers Media S.A.</publisher-name>
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<article-id pub-id-type="doi">10.3389/fnut.2026.1802043</article-id>
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<article-categories>
<subj-group subj-group-type="heading">
<subject>Editorial</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>Editorial: Objective dietary assessment in nutrition epidemiology studies, volume II</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes">
<name><surname>Lloyd</surname> <given-names>Amanda J.</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>&#x0002A;</sup></xref>
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<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Writing &#x2013; original draft" vocab-term-identifier="https://credit.niso.org/contributor-roles/writing-original-draft/">Writing &#x2013; original draft</role>
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<contrib contrib-type="author">
<name><surname>Wilson</surname> <given-names>Thomas</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
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<contrib contrib-type="author">
<name><surname>Yadav</surname> <given-names>Hariom</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
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<aff id="aff1"><label>1</label><institution>Department of Life Science, Aberystwyth University</institution>, <city>Aberystwyth</city>, <country country="gb">United Kingdom</country></aff>
<aff id="aff2"><label>2</label><institution>Department of Neurosurgery, Brain and Spine, University of South Florida</institution>, <city>Tampa, FL</city>, <country country="us">United States</country></aff>
<author-notes>
<corresp id="c001"><label>&#x0002A;</label>Correspondence: Amanda J. Lloyd, <email xlink:href="mailto:abl@aber.ac.uk">abl@aber.ac.uk</email></corresp>
</author-notes>
<pub-date publication-format="electronic" date-type="pub" iso-8601-date="2026-02-24">
<day>24</day>
<month>02</month>
<year>2026</year>
</pub-date>
<pub-date publication-format="electronic" date-type="collection">
<year>2026</year>
</pub-date>
<volume>13</volume>
<elocation-id>1802043</elocation-id>
<history>
<date date-type="received">
<day>02</day>
<month>02</month>
<year>2026</year>
</date>
<date date-type="accepted">
<day>02</day>
<month>02</month>
<year>2026</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x000A9; 2026 Lloyd, Wilson and Yadav.</copyright-statement>
<copyright-year>2026</copyright-year>
<copyright-holder>Lloyd, Wilson and Yadav</copyright-holder>
<license>
<ali:license_ref start_date="2026-02-24">https://creativecommons.org/licenses/by/4.0/</ali:license_ref>
<license-p>This is an open-access article distributed under the terms of the <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution License (CC BY)</ext-link>. The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</license-p>
</license>
</permissions>
<kwd-group>
<kwd>diet</kwd>
<kwd>diet recording</kwd>
<kwd>dietary assessment methodology</kwd>
<kwd>dietary assessment tools</kwd>
<kwd>dietary patterns</kwd>
<kwd>epidemiology studies</kwd>
<kwd>nutrition</kwd>
<kwd>population studies</kwd>
</kwd-group>
<funding-group>
 <funding-statement>The author(s) declared that financial support was received for this work and/or its publication. AL and TW was funded by UKs Medical Research Council (MRC) and the Biotechnology and Biological Sciences Research Council (BBSRC) (MR/W028336/1: SODIAT).</funding-statement>
</funding-group>
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<custom-meta-group>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Nutritional Epidemiology</meta-value>
</custom-meta>
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<notes notes-type="frontiers-research-topic">
<p><bold>Editorial on the Research Topic</bold> <ext-link xlink:href="https://www.frontiersin.org/research-topics/60237/objective-dietary-assessment-in-nutrition-epidemiology-studies-volume-ii" ext-link-type="uri">Objective dietary assessment in nutrition epidemiology studies, volume II</ext-link></p></notes>
</front>
<body>
<sec sec-type="intro" id="s1">
<title>Introduction</title>
<p>Accurately capturing what people eat and drink remains one of the greatest challenges in public health nutrition and nutrition epidemiology. Despite decades of refinement, self-report tools, such as food frequency questionnaires, diet diaries, and recalls remain prone to recall bias, under- or over-reporting, and cultural variability. These limitations introduce systematic error into diet, disease relationships, complicating causal inference and undermining reproducibility.</p>
<p>The first volume of this Research Topic underscored the importance of developing and validating objective dietary assessment methods, including the use of biomarkers, digital technologies, and calibration models. Volume II builds on this momentum, bringing together 21 original contributions spanning multiple continents, dietary cultures, and methodologies. Collectively, these studies illustrate the richness of approaches being pursued: novel dietary indices, validation of culturally tailored tools, population-level surveillance, and integration of nutritional biomarkers with epidemiological outcomes.</p></sec>
<sec id="s2">
<title>Dietary indices and chronic disease outcomes</title>
<p>A core theme in this volume is the use of dietary indices to capture overall diet quality or nutrient-specific exposures in relation to chronic disease outcomes.</p>
<p><ext-link ext-link-type="uri" xlink:href="https://doi.org/10.3389/fnut.2025.1562362">Yu et al.</ext-link> assessed diet quality and quantity using the Chinese Diet Balance Index 2022, demonstrating that imbalances in diet quality increased the risk of sarcopenia. Their findings highlight the relevance of multidimensional diet quality indices in aging populations.</p>
<p><ext-link ext-link-type="uri" xlink:href="https://doi.org/10.3389/fnut.2025.1551754">Wen et al.</ext-link> investigated the Composite Dietary Antioxidant Index (CDAI) in relation to growth indicators among children aged 3&#x02013;12 years, showing that antioxidant-rich diets were associated with more favorable growth trajectories. Complementing this, <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.3389/fnut.2024.1496410">Cheng et al.</ext-link> applied the CDAI to a U.S. pediatric population, revealing associations between antioxidant intake and susceptibility to Epstein&#x02013;Barr virus infection, thus extending the relevance of CDAI beyond growth into infectious disease risk.</p>
<p><ext-link ext-link-type="uri" xlink:href="https://doi.org/10.3389/fnut.2024.1497784">Zhou et al.</ext-link> explored the Oxidative Balance Score (OBS) and found significant associations with peripheral artery disease in U.S. adults, underscoring the role of diet-driven oxidative stress in vascular health. <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.3389/fnut.2025.1533514">Yang S. et al.</ext-link> added to this theme by reporting that higher dietary phosphorus intake was protective against cardiovascular mortality among individuals with asthma, illustrating how nutrient-specific measures can be applied to at-risk clinical populations.</p>
<p>Altogether, these studies demonstrate the power of composite indices and targeted nutrient measures as standardized approaches to link diet with a spectrum of chronic health outcomes.</p></sec>
<sec id="s3">
<title>Population-based studies on dietary patterns</title>
<p>A second cluster of papers examined dietary diversity, nutrient intake, and diet-related risks across diverse populations.</p>
<p><ext-link ext-link-type="uri" xlink:href="https://doi.org/10.3389/fnut.2025.1480133">Qin et al.</ext-link> analyzed spatiotemporal trends in dietary diversity among Chinese residents, mapping both improvements and persistent regional disparities. <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.3389/fnut.2025.1508774">Liang et al.</ext-link> focused on the association between retinol intake and hyperuricaemia in Southwest China, highlighting potential nutrient, disease links of public health concern. <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.3389/fnut.2024.1494383">Xu et al.</ext-link> provided projections on the future burden of chronic kidney disease due to type 2 diabetes; attributable to dietary risks, drawing on Global Burden of Disease 2021 data, adding a valuable predictive dimension.</p>
<p><ext-link ext-link-type="uri" xlink:href="https://doi.org/10.3389/fnut.2024.1451220">Alkazemi et al.</ext-link> investigated dietary magnesium and fiber intakes among women with metabolic syndrome in Kuwait, finding systematically low intake levels with clinical implications. <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.3389/fnut.2024.1400813">Alemu et al.</ext-link> examined dietary diversity among pregnant women in Ethiopia, reporting suboptimal dietary adequacy with implications for maternal and child health. <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.3389/fpubh.2024.1361673">Mohammed et al.</ext-link> documented urban&#x02013;rural disparities in minimum acceptable diet intake among Ethiopian children, while <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.3389/fnut.2024.1363061">Endawkie et al.</ext-link> extended this by identifying household and community level factors underlying zero vegetable and fruit consumption in East Africa.</p>
<p>These analyses provide a picture of dietary diversity and risk factors across Asia, the Middle East, and Africa, illustrating the geographic breadth of challenges in dietary assessment and the need for culturally sensitive, region-specific dietary surveillance.</p></sec>
<sec id="s4">
<title>Methodological validation and feasibility studies</title>
<p>Advances in dietary assessment methodology were another major theme of this Research Topic.</p>
<p><ext-link ext-link-type="uri" xlink:href="https://doi.org/10.3389/fnut.2024.1369700">Saxby et al.</ext-link> piloted the feasibility of self-reported dietary recalls among newly diagnosed multiple sclerosis patients, demonstrating that dietary recalls remain practical, though they require adaptation to clinical contexts. <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.3389/fnut.2024.1322225">Ni et al.</ext-link> developed and validated a food frequency questionnaire tailored for pregnant women from the Chinese Miao ethnic group, demonstrating both reproducibility and validity in a culturally specific population, a critical step toward equitable dietary research.</p>
<p><ext-link ext-link-type="uri" xlink:href="https://doi.org/10.3389/fnut.2024.1374386">Ahern et al.</ext-link> analyzed secular trends in <italic>ad libitum</italic> energy intake in controlled research settings from 1999 to 2020, showing both consistency and shifts that underscore the importance of methodological calibration across decades of study designs.</p>
<p><ext-link ext-link-type="uri" xlink:href="https://doi.org/10.3389/fnut.2024.1381731">Wardenaar et al.</ext-link> contributed two related studies in sports nutrition: first, the development of the Safe Supplement Screener (S3), designed to assess risk behavior in supplement use among athletes; and second, a cross-validation study of S3 in NCAA Division I athletes. Together, these papers highlight how structured, evidence-based screeners can enhance accuracy and safety in supplement reporting, where misclassification may have clinical and regulatory implications.</p>
<p>These methodological contributions collectively underscore the importance of ongoing validation, cultural tailoring, and integration of new tools into specific research and clinical populations.</p></sec>
<sec id="s5">
<title>Nutritional status and special populations</title>
<p>Several contributions addressed dietary assessment in vulnerable or clinical populations where nutritional risks are acute.</p>
<p><ext-link ext-link-type="uri" xlink:href="https://doi.org/10.3389/fnut.2024.1450669">Shifera and Yosef</ext-link> investigated undernutrition among tuberculosis patients in Ethiopia, identifying predictors that could inform targeted interventions. <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.3389/fnut.2024.1375592">Takano et al.</ext-link> evaluated nutritional status and oral supplement use in elderly daycare users in Japan, leveraging a web-based version of the Mini Nutritional Assessment (MNA Plus) to demonstrate the potential of digital tools for real-world clinical screening.</p>
<p><ext-link ext-link-type="uri" xlink:href="https://doi.org/10.3389/fnut.2024.1364309">Feng et al.</ext-link> examined dietary glycine intake in relation to hypertension, hyperlipidaemia, and obesity in rural northern China, providing novel evidence on amino acid intake and metabolic risk. <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.3389/fnut.2024.1366525">Yang X. et al.</ext-link> conducted a global analysis of developmental and intellectual disabilities attributable to iodine deficiency from 1990 to 2019, with predictions to 2030, highlighting enduring global disparities in micronutrient deficiency.</p>
<p>These papers reinforce the crucial role of accurate, context-appropriate dietary assessment in vulnerable groups, where the stakes for mismeasurement are particularly high.</p></sec>
<sec sec-type="conclusions" id="s6">
<title>Conclusion</title>
<p>The 21 contributions in Volume II collectively extend the field of dietary assessment in three critical ways. First, they demonstrate the expanding toolkit of indices, screeners, and validated questionnaires capable of capturing both nutrient-specific and overall dietary exposures. Second, they highlight the importance of context and population diversity, with studies spanning children, pregnant women, athletes, elderly populations, and patients with chronic or infectious diseases, across Asia, Africa and the Middle East. Finally, they highlight the integration of objective and semi-objective approaches, from biomarkers and antioxidant indices to digital tools and culturally specific FFQs as the path forward for more reliable nutritional epidemiology.</p>
<p>As dietary assessment continues to evolve, the integration of objective tools with culturally sensitive approaches will be essential for advancing global nutrition science.</p>
<p>Persistent challenges remain. These include the need to:</p>
<list list-type="bullet">
<list-item><p>Harmonize methods across cohorts to enable comparability.</p></list-item>
<list-item><p>Reduce cost and participant burden to scale objective methods.</p></list-item>
<list-item><p>Integrate self-report and objective measures through robust calibration.</p></list-item>
<list-item><p>Ensure cultural adaptability and equity in dietary assessment tools.</p></list-item>
</list>
<p>The contributions in this volume demonstrate that the field is moving rapidly toward more precise, inclusive, and technologically enabled dietary assessment. By building on methodological innovation and global diversity, the work presented here brings us closer to resolving the long-standing limitations of dietary self-report and strengthening the evidence base for diet, disease relationships.</p>
<p>We thank all authors, reviewers, and the editorial team for their efforts, and we hope this Research Topic helps future innovation and collaboration, creating more accurate, equitable, and globally relevant dietary epidemiology.</p></sec>
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<back>
<sec sec-type="author-contributions" id="s7">
<title>Author contributions</title>
<p>AL: Writing &#x02013; review &#x00026; editing, Writing &#x02013; original draft. TW: Writing &#x02013; review &#x00026; editing, Writing &#x02013; original draft. HY: Writing &#x02013; review &#x00026; editing.</p>
</sec>
<sec sec-type="COI-statement" id="conf1">
<title>Conflict of interest</title>
<p>The author(s) declared that this work was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
<p>The author HY declared that they were an editorial board member of Frontiers, at the time of submission. This had no impact on the peer review process and the final decision.</p>
</sec>
<sec sec-type="ai-statement" id="s9">
<title>Generative AI statement</title>
<p>The author(s) declared that generative AI was not used in the creation of this manuscript.</p>
<p>Any alternative text (alt text) provided alongside figures in this article has been generated by Frontiers with the support of artificial intelligence and reasonable efforts have been made to ensure accuracy, including review by the authors wherever possible. If you identify any issues, please contact us.</p></sec>
<sec sec-type="disclaimer" id="s10">
<title>Publisher&#x00027;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
<fn-group>
<fn fn-type="custom" custom-type="edited-by" id="fn0001">
<p>Edited and reviewed by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/164172/overview">Mauro Serafini</ext-link>, University of Teramo, Italy</p>
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