Advances in Nutrition最新文献

{"title":"A Theory-Informed Review of Food Insecurity in Higher Education: Determinants, Gaps, and Policy Implications","authors":"Hiwot Abebe Haileslassie","doi":"10.1016/j.advnut.2025.100462","DOIUrl":"10.1016/j.advnut.2025.100462","url":null,"abstract":"","PeriodicalId":7349,"journal":{"name":"Advances in Nutrition","volume":"16 8","pages":"Article 100462"},"PeriodicalIF":9.2,"publicationDate":"2025-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144295473","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Optimal Intake of Animal-Source Foods: A Scoping Review to Inform a New WHO Guideline","authors":"Magali Rios-Leyvraz,&nbsp;Jason Montez","doi":"10.1016/j.advnut.2025.100467","DOIUrl":"10.1016/j.advnut.2025.100467","url":null,"abstract":"<div><div>Currently, the amount and types of animal-source foods that might be part of a healthy diet remain unclear. This scoping review was commissioned by the WHO for the development of a new guideline on optimal intake of animal-source foods and aimed to collect and describe the evidence available on animal-source foods and health outcomes. A systematic search of Embase, Medline, and PubMed, complemented with a search of recent nutrition guidelines, was conducted to identify systematic, scoping, and umbrella reviews published between 2019 and 2024. Reviews of prospective observational and interventional studies with participants ≥2 y from the general population, including pregnant women, assessing the effects of animal-source foods (red meat, poultry, fish, eggs, dairy) and as comparators selected protein-rich plant-source foods on any health outcome were included. Using a mining approach, prospective observational and interventional primary studies identified in the reviews were extracted. Research availability and gaps were depicted using evidence maps. From the 7458 records identified, a total of 652 reviews were included, encompassing 1626 eligible publications from 488 unique cohorts in 65 countries and 480 eligible publications from 387 unique trials in 37 countries. Single health outcomes were grouped together into 29 groups. The most often researched outcome groups were cancer, cardiovascular diseases, diabetes, body weight and composition, and all-cause mortality. Evidence gaps were identified in older adults, children, and pregnant women, in food-insecure settings, in Sub-Saharan Africa, Central and South East Asia. This scoping review offers a comprehensive overview of existing evidence on animal-source foods and health outcomes and identifies key research gaps to support the development of new nutrition guidelines.</div></div>","PeriodicalId":7349,"journal":{"name":"Advances in Nutrition","volume":"16 8","pages":"Article 100467"},"PeriodicalIF":9.2,"publicationDate":"2025-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144337293","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Treatment of Undernutrition in Pregnancy Requires Adequate Food and Inflammation Control","authors":"David Taylor Hendrixson ,&nbsp;Ashleen Lee ,&nbsp;Eliza Kleban ,&nbsp;Kevin B Stephenson ,&nbsp;Aminata S Koroma ,&nbsp;Mark J Manary","doi":"10.1016/j.advnut.2025.100479","DOIUrl":"10.1016/j.advnut.2025.100479","url":null,"abstract":"<div><div>Undernutrition in pregnancy remains a substantial problem worldwide, disproportionately affecting females living in low- and middle-income countries where food insecurity and limited access to high-quality nutrition exacerbate maternal and fetal health risks. Undernutrition during this critical time in the lifecycle can have adverse effects on both the pregnant female and her offspring. Despite the widespread recognition of this issue, current international guidelines provide insufficient direction on optimal nutritional management strategies. Most clinical trial evidence has yielded inconclusive results. This perspective synthesizes evidence on current management strategies in addressing macronutrient and micronutrient deficiencies in pregnancy. Additionally, we examine the critical role of inflammation in moderating the effectiveness of nutritional interventions and discuss emerging strategies that integrate infection control with nutrition to optimize maternal and neonatal outcomes. Given the limitations of existing management strategies, there is an urgent need for more comprehensive, evidence-based guidelines to improve pregnancy outcomes for undernourished females worldwide.</div></div>","PeriodicalId":7349,"journal":{"name":"Advances in Nutrition","volume":"16 8","pages":"Article 100479"},"PeriodicalIF":9.2,"publicationDate":"2025-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144627874","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Relevance of Mathematical Optimization as a Tool for Diet Modeling in the Development of Food-Based Dietary Recommendations in Sub-Saharan Africa: A Scoping Review","authors":"Sakiko Shiratori ,&nbsp;MG Dilini Abeysekara","doi":"10.1016/j.advnut.2025.100480","DOIUrl":"10.1016/j.advnut.2025.100480","url":null,"abstract":"<div><div>This study aimed to understand the role of mathematical programming in the development of food-based dietary recommendations (FBRs) in sub-Saharan Africa (SSA), identify current limitations, and highlight opportunities for advancing evidence-based dietary interventions. Following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews, a systematic search from January 2000 to May 2024 identified 97 relevant studies. Among these, 30 studies spanning 12 SSA countries (of 48 countries and territories in SSA) met the inclusion criteria. The reviewed studies leveraged linear programming (LP) or extensions of LP (i.e., linear goal programming) to formulate FBRs by optimizing current dietary patterns to meet nutritional needs and gaps (<em>n</em> = 24), developing nutritionally and regionally optimized and cost-minimized food baskets (<em>n</em> = 4), and describing the use of LP as a method for designing population-specific food-based dietary guidelines (<em>n</em> = 2). The primary goal of the reviewed studies is to develop nutritionally adequate and economically affordable food patterns, rather than to address multiple chronic nutrition-related conditions simultaneously, reflecting the distinct priorities of diet modeling in low-resource settings compared with those of resource-rich contexts. The formulated FBRs and optimized diets are often defined for specific demographic groups, with a limited geographic scope reflecting regional priorities. Diets can be optimized both nutritionally and economically by prioritizing locally available food groups and items; however, in some cases, additional supplementation and or inclusion of rarely consumed nutrient-dense foods may be necessary. Mathematical optimization, particularly LP, is a valuable tool for addressing dietary challenges and developing evidence-based, context-specific FBRs. Its use is facilitated by the availability of user-friendly software. However, its successful application requires high-quality input data, consideration of behavioral and practical aspects, and interdisciplinary collaboration. High-quality input data and incorporating sociocultural contexts are critical for leveraging mathematical optimization to inform inclusive and effective dietary recommendations in SSA.</div></div>","PeriodicalId":7349,"journal":{"name":"Advances in Nutrition","volume":"16 8","pages":"Article 100480"},"PeriodicalIF":9.2,"publicationDate":"2025-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144627805","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Current Evidence on Optimal Intake of Animal-Source Foods and Health Status","authors":"Lukas Schwingshackl ,&nbsp;Sabrina Schlesinger","doi":"10.1016/j.advnut.2025.100466","DOIUrl":"10.1016/j.advnut.2025.100466","url":null,"abstract":"","PeriodicalId":7349,"journal":{"name":"Advances in Nutrition","volume":"16 8","pages":"Article 100466"},"PeriodicalIF":9.2,"publicationDate":"2025-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144487277","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Perspective: Biomarkers of Aging in Human Nutrition Research—A Focus on Applications, Challenges, and Opportunities","authors":"Keeva NM Loughlin ,&nbsp;Pol Grootswagers ,&nbsp;Guido Camps ,&nbsp;Lisette CPGM de Groot","doi":"10.1016/j.advnut.2025.100486","DOIUrl":"10.1016/j.advnut.2025.100486","url":null,"abstract":"<div><div>Predictive algorithm-based biomarkers of aging (BoA), such as aging clocks, are increasingly applied within human nutrition research. Despite great promise of these BoA, validation efforts and guidelines for implementation are lagging behind the vast and growing number of available biomarkers, complicating their use and introducing variance across studies. Therefore, in the current perspective paper, we provide practical insights and an initial set of recommendations for consistent future implementation of BoA within nutrition research based on current knowledge, both on a general level and within different research scenarios. We critically reflect on existing observational and experimental nutrition research, and outline the potential application of BoA in identifying at-risk groups, exploring heterogeneity underlying aging and nutritional effects, and personalized approaches. This work aims to support nutritional researchers in making informed decisions on contextually appropriate biomarkers and provides directions for future nutritional research involving BoA, because, despite much needed advancements, we consider BoA exciting and promising tools in nutrition research.</div></div>","PeriodicalId":7349,"journal":{"name":"Advances in Nutrition","volume":"16 9","pages":"Article 100486"},"PeriodicalIF":9.2,"publicationDate":"2025-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144755246","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Co-creating and Mapping an Exclusive Breastfeeding Framework among Latino Populations in the United States: An Integrated Framework Adaptation Process and Scoping Review","authors":"Armando Peña ,&nbsp;Zoe Barnsfather ,&nbsp;Alison M Miller ,&nbsp;Ashley Alvarado ,&nbsp;Deanna Reinoso ,&nbsp;Melissa Klitzman ,&nbsp;Ann Marie Neeley ,&nbsp;Ana Maria Linares ,&nbsp;Katherine Harkov ,&nbsp;Tess Phillips ,&nbsp;Amanda Santiago ,&nbsp;Christine Spencer ,&nbsp;Fernanda Betti ,&nbsp;Julie A Patterson ,&nbsp;Ines Casanova ,&nbsp;Karla Baquerizo ,&nbsp;Kiran Snow ,&nbsp;Angelica Maria Mays ,&nbsp;Shannon Lopez ,&nbsp;Courtnie Leeper ,&nbsp;Richard J Holden","doi":"10.1016/j.advnut.2025.100483","DOIUrl":"10.1016/j.advnut.2025.100483","url":null,"abstract":"<div><div>Increasing exclusive breastfeeding among Latino populations has the potential to reduce health disparities. There is a need for a multilevel and multidomain framework of exclusive breastfeeding determinants. This study aimed to co-create an exclusive breastfeeding determinants framework among Latino populations and map this framework using the current literature. Our community coalition convened in working groups to adapt a multilevel and multidomain determinants framework with 20 cells (4 levels × 5 domains) for exclusive breastfeeding among Latino populations. We documented all referenced determinants in working groups, and 2 independent raters deductively and inductively analyzed these specific determinants into themes by cell (level domain). An integrated scoping review mapped the determinants addressed in the literature of exclusive breastfeeding interventions among Latinos in the United States onto the framework cells. Two independent raters transcribed intervention descriptions verbatim and deductively analyzed the text using our list of determinants as the codebook. Inductive analysis allowed for emerging determinants. We mapped determinants that were addressed by theme. A total of 111 specific determinants were referenced in working groups that were categorized into 53 determinant themes. Most studies addressed Individual-level determinants at each domain (<em>n</em> = 11–16 studies) except for Built Environment (<em>n</em> = 3). At the Interpersonal level, Behavior (<em>n</em> = 11) and Health Care System (<em>n =</em> 16) domains were predominantly addressed. At the Community level, Built Environment (<em>n =</em> 14) and Health Care System (<em>n =</em> 15) domains were addressed. Most studies at the Societal level addressed the Health Care System domain but none addressed Biological, Behavior, or Built Environment domains. Extension of care, culturally relevant care, knowledge and skills, mother–infant bonding, and practitioner–dyad relationship were referenced the most of all 56 themes (<em>n ≥</em> 13 each). Increasing exclusive breastfeeding among Latinos is a multifaceted challenge. Innovative areas for future work include Biological and Sociocultural domains beyond the Individual level as well as most domains at the Societal level.</div></div>","PeriodicalId":7349,"journal":{"name":"Advances in Nutrition","volume":"16 9","pages":"Article 100483"},"PeriodicalIF":9.2,"publicationDate":"2025-07-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144683715","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Perspective: Framework for Developing Prediction Equations for Estimating the Absorption and Bioavailability of Nutrients from Foods","authors":"Connie Weaver ,&nbsp;Seth Armah ,&nbsp;Richard S Bruno ,&nbsp;Andrew Fletcher ,&nbsp;Raymond Glahn ,&nbsp;Isabelle Herter-Aeberli ,&nbsp;Tasija Karosas ,&nbsp;Cornelia U Loechl ,&nbsp;Veronica Lopez-Teros ,&nbsp;Michael I McBurney ,&nbsp;Alida Melse-Boonstra ,&nbsp;Rachel Novotny ,&nbsp;Manju B Reddy ,&nbsp;Jessica Rigutto-Farebrother ,&nbsp;Sherry Tanumihardjo ,&nbsp;Emorn Udomkesmalee ,&nbsp;Ellen Van Den Heuvel ,&nbsp;Taylor Wallace ,&nbsp;Pattanee Winichagoon","doi":"10.1016/j.advnut.2025.100481","DOIUrl":"10.1016/j.advnut.2025.100481","url":null,"abstract":"<div><div>Current nutrient intake recommendations, nutritional assessments, and food labeling rely on estimated total nutrient content in foods and dietary supplements. However, the adequacy of nutrient intake depends not only on the total amount consumed but also on the fraction absorbed and utilized by the body. Accurate assessments of nutrient bioavailability require predictive equations or algorithms. This paper outlines a 4-step framework designed to guide researchers in developing such equations. The framework includes: <em>1</em>) identifying key factors that influence nutrient or bioactive compound bioavailability; <em>2</em>) conducting a comprehensive literature review of high-quality human studies to inform the development of predictive equations; <em>3</em>) constructing predictive equations based on these insights; and <em>4</em>) validate the equation, when feasible, to potentiate translation. This structured approach aims to enhance the accuracy and precision of nutrient bioavailability estimates, address data limitations, and highlight evidence gaps to inform future research and policy on nutrients and bioactive compounds.</div></div>","PeriodicalId":7349,"journal":{"name":"Advances in Nutrition","volume":"16 9","pages":"Article 100481"},"PeriodicalIF":9.2,"publicationDate":"2025-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144669097","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Educational Attainment as a Super Determinant of Diet Quality and Dietary Inequities☆","authors":"Dana Lee Olstad,&nbsp;Lynn McIntyre","doi":"10.1016/j.advnut.2025.100482","DOIUrl":"10.1016/j.advnut.2025.100482","url":null,"abstract":"<div><div>Inequities in diet quality are evident worldwide and reflect structural disadvantages. There is increasing evidence that dietary inequities may be most meaningful in relation to educational attainment, a finding that contradicts the common belief that dietary inequities are primarily attributable to material disadvantage (i.e. inadequate incomes). Moreover, diet quality declines with each step down the educational ladder, and therefore, these educational inequities affect all of society. The purpose of this perspective is to posit that educational attainment is a key structural stratifier of diet quality and dietary inequities—what we term a super determinant—and that greater research attention should be given to interrogating pathways through which educational attainment shapes diet quality. To inform our perspective, we conducted extensive keyword searches in PubMed and Google Scholar to identify concepts, theories, and empirical data pertaining to educational inequities in diet quality, health, and mortality, followed by a conceptual synthesis of findings. On the basis of these findings, we first describe pathways through which educational attainment shapes diet quality. We then demonstrate that educational inequities in diet quality are often much larger than they are for income. For instance, absolute gaps and gradients in Healthy Eating Index-2015 scores between the most and least educated adults were 7–11 points in Canada, whereas they were just 2–5 points in relation to household income. We provide converging evidence related to large and growing educational inequities in diet quality, health, and mortality internationally. We subsequently consider an important counterfactual—that the affordability of a healthy diet is the key determinant of dietary inequities—and empirically demonstrate that economic factors are not primary drivers of socioeconomic inequities in diet quality. We conclude that attributing dietary inequities primarily to the higher costs of healthy foods is overly simplistic and ignores the critical role of educational attainment as a structural stratifier of dietary inequities.</div></div>","PeriodicalId":7349,"journal":{"name":"Advances in Nutrition","volume":"16 9","pages":"Article 100482"},"PeriodicalIF":9.2,"publicationDate":"2025-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144669096","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Artificial Intelligence in the Management of Malnutrition in Cancer Patients: A Systematic Review","authors":"Marco Sguanci ,&nbsp;Sara Morales Palomares ,&nbsp;Giovanni Cangelosi ,&nbsp;Fabio Petrelli ,&nbsp;Elena Sandri ,&nbsp;Gaetano Ferrara ,&nbsp;Stefano Mancin","doi":"10.1016/j.advnut.2025.100438","DOIUrl":"10.1016/j.advnut.2025.100438","url":null,"abstract":"<div><div>Malnutrition is a critical complication among cancer patients, affecting ≤80% of individuals depending on cancer type, stage, and treatment. Artificial intelligence (AI) has emerged as a promising tool in healthcare, with potential applications in nutritional management to improve early detection, risk stratification, and personalized interventions. This systematic review evaluated the role of AI in identifying and managing malnutrition in cancer patients, focusing on its effectiveness in nutritional status assessment, prediction, clinical outcomes, and body composition monitoring. A systematic search was conducted across PubMed, Cochrane Library, Cumulative Index to Nursing and Allied Health Literature, and Excerpta Medica Database from June to July 2024, following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. Quantitative primary studies investigating AI-based interventions for malnutrition detection, body composition analysis, and nutritional optimization in oncology were included. Study quality was assessed using the Joanna Briggs Institute Critical Appraisal Tools, and evidence certainty was evaluated with the Oxford Centre for Evidence-Based Medicine framework. Eleven studies (<em>n</em> = 52,228 patients) met the inclusion criteria and were categorized into 3 overarching domains: nutritional status assessment and prediction, clinical and functional outcomes, and body composition and cachexia monitoring. AI-based models demonstrated high predictive accuracy in malnutrition detection (area under the curve &gt;0.80). Machine learning algorithms, including decision trees, random forests, and support vector machines, outperformed conventional screening tools. Deep learning models applied to medical imaging achieved high segmentation accuracy (Dice similarity coefficient: 0.92–0.94), enabling early cachexia detection. AI-driven virtual dietitian systems improved dietary adherence (84%) and reduced unplanned hospitalizations. AI-enhanced workflows streamlined dietitian referrals, reducing referral times by 2.4 d. AI demonstrates significant potential in optimizing malnutrition screening, body composition monitoring, and personalized nutritional interventions for cancer patients. Its integration into oncology nutrition care could enhance patient outcomes and optimize healthcare resource allocation. Further research is necessary to standardize AI models and ensure clinical applicability. This systematic review followed a protocol registered prospectively on Open Science Framework (<span><span>https://doi.org/10.17605/OSF.IO/A259M</span><svg><path></path></svg></span>).</div></div>","PeriodicalId":7349,"journal":{"name":"Advances in Nutrition","volume":"16 7","pages":"Article 100438"},"PeriodicalIF":8.0,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144000375","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}