Advances in Nutrition最新文献

{"title":"Evolution of Food Classification Systems and Assessing Diet Quality","authors":"Andrea Krenek, Christopher D Gardner","doi":"10.1016/j.advnut.2026.100596","DOIUrl":"10.1016/j.advnut.2026.100596","url":null,"abstract":"","PeriodicalId":7349,"journal":{"name":"Advances in Nutrition","volume":"17 4","pages":"Article 100596"},"PeriodicalIF":9.2,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146168011","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":"Nutrition 2026 – Join The Global Nutrition Community in Washington D.C. (USA), July 25-28","authors":"","doi":"10.1016/j.advnut.2026.100637","DOIUrl":"10.1016/j.advnut.2026.100637","url":null,"abstract":"","PeriodicalId":7349,"journal":{"name":"Advances in Nutrition","volume":"17 4","pages":"Article 100637"},"PeriodicalIF":9.2,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147710446","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":"Human-Identical Milk Oligosaccharides in Infant Formula: How Close Are We to Evidence-Based Benefit?","authors":"Yarden Golan","doi":"10.1016/j.advnut.2026.100612","DOIUrl":"10.1016/j.advnut.2026.100612","url":null,"abstract":"","PeriodicalId":7349,"journal":{"name":"Advances in Nutrition","volume":"17 4","pages":"Article 100612"},"PeriodicalIF":9.2,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147357782","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":"Translating Science to Improve Health—a Report from the “Agriculture and Diet: Value Added for Nutrition, Translation, and Adaptation in a Global Ecology” (ADVANTAGE) Project Working Group 5","authors":"Donald Rose ,&nbsp;Wendi Gosliner ,&nbsp;Jennifer J Otten ,&nbsp;Christina A Roberto ,&nbsp;Selena Ahmed ,&nbsp;Patrick Webb ,&nbsp;Daniel J Raiten ,&nbsp;Jessica Fanzo","doi":"10.1016/j.advnut.2025.100586","DOIUrl":"10.1016/j.advnut.2025.100586","url":null,"abstract":"<div><div>Transforming food systems to improve health amidst accelerating climate and environmental change is a critical global challenge. This paper addresses the imperative and complexity of translating scientific evidence into actionable policies and practices at the climate-food-health nexus. We propose a conceptual and operational framework grounded in ecological systems thinking, highlighting the interdependencies across biological, social, and economic domains. Drawing on existing translational science models from public health, environmental health, and convergent food systems research, we distill 5 core principles for effective translation: <em>1</em>) integration of transdisciplinary evidence across scales; <em>2</em>) early and sustained engagement with policymakers, practitioners, and affected communities; <em>3</em>) contextually nuanced application of evidence; <em>4</em>) systematic identification of tradeoffs, conflicts of interest, and unintended consequences; and <em>5</em>) strategic communication that bridges knowledge and action. To illustrate these principles, we analyze 5 case studies spanning local, national, and global contexts. Each illustrates the pragmatic and political dimensions of evidence translation, including stakeholder alignment, data infrastructure, and institutional leadership. This paper underscores the need for adaptive governance, cross-sectoral convergence, and innovative implementation science to advance food systems that are resilient, equitable, and sustainable. Our recommendations are intended to inform researchers, decision-makers, and practitioners seeking to enact evidence-informed change in dynamic sociopolitical environments and diverse food systems contexts.</div></div>","PeriodicalId":7349,"journal":{"name":"Advances in Nutrition","volume":"17 3","pages":"Article 100586"},"PeriodicalIF":9.2,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145907199","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":"Digestible and Metabolizable Energy Intake in Humans: a Systematic Review","authors":"Eiichi Yoshimura ,&nbsp;Naoya Oi ,&nbsp;Kanon Abe ,&nbsp;Yuki Nishida","doi":"10.1016/j.advnut.2026.100597","DOIUrl":"10.1016/j.advnut.2026.100597","url":null,"abstract":"<div><div>Understanding digestible energy intake (DEI) and metabolizable energy intake (MEI) is essential for elucidating human energy balance. The absolute of DEI refers to gross energy intake minus fecal energy loss (EL), whereas MEI further accounts for urinary EL. This systematic review aimed to synthesize the findings from studies that utilized bomb calorimetry to measure DEI and/or MEI (PROSPERO CRD42021230982). Medical Literature Analysis and Retrieval System Online (via PubMed), the Cochrane Library, Cumulative Index to Nursing and Allied Health Literature, and Scopus were searched for articles published between January 1973 and July 2024. Human studies (adults aged ≥18 y) were included without restrictions on study design. Data were descriptively summarized according to dietary conditions, including overeating, undereating, high-fiber diets, tree nut intake, time-restricted eating (TRE), medication use, and disease status. Twenty-three studies were included. Overeating generally increased absolute fecal ELs; however, proportional DEI and MEI remained relatively stable, suggesting adaptive responses. High-fiber diets and tree nut intake consistently lowered the proportions of DEI and MEI, indicating that dietary composition affects energy absorption efficiency. Results for TRE were inconsistent, with 1 study showing increased fecal EL and another reporting no significant changes. Aging and disease, particularly short bowel syndrome and home parenteral nutrition dependence, were associated with markedly reduced proportions of DEI and MEI. Despite methodological variability across studies, this review highlighted that both dietary quantity and composition significantly influence energy absorption. Furthermore, limited evidence suggested that aging and diseases impair energy absorption. Future studies using standardized protocols and randomized controlled trials are warranted to clarify the determinants of DEI and MEI across diverse populations.</div><div>This study was registered at PROSPERO as CRD42021230982.</div></div>","PeriodicalId":7349,"journal":{"name":"Advances in Nutrition","volume":"17 3","pages":"Article 100597"},"PeriodicalIF":9.2,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146144822","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":"Impact of Plant-Based Drinks on Cardiometabolic Outcomes: A Systematic Review and Network Meta-analysis","authors":"Sabina Wallerer ,&nbsp;Julia Stadelmaier ,&nbsp;Maria Petropoulou ,&nbsp;Eva Kiesswetter ,&nbsp;Jaqueline Beck ,&nbsp;Elida Sina ,&nbsp;Toni Meier ,&nbsp;Kathrin Sedlmaier ,&nbsp;Martin Kussmann ,&nbsp;Hans Hauner ,&nbsp;Lukas Schwingshackl","doi":"10.1016/j.advnut.2026.100595","DOIUrl":"10.1016/j.advnut.2026.100595","url":null,"abstract":"<div><div>The global demand for plant-based milk alternatives is rising, but their health effects compared with cow milk remain uncertain. Therefore, we conducted a systematic review and network meta-analysis (NMA) to compare different plant-based drinks with each other and with cow’s milk on cardiometabolic outcomes. A systematic search was conducted in 3 electronic databases (MEDLINE, Cochrane CENTRAL, and Web of Science) and 2 trial registries. Randomized controlled trials (RCTs) with a minimum duration of 3 wk comparing different plant-based drinks (e.g., soy, rice, and oat) with another or with cow milk were included. We rated risk of bias using RoB 2.0 tool. Anthropometric outcomes, blood lipids, fasting glucose, and blood pressure were pooled using mean differences (MDs). NMAs were performed using a random-effects model. The certainty of evidence was assessed using the Grading of Recommendations Assessment, Development and Evaluation approach. Fourteen RCTs involving 543 participants were included, comparing soy-, rice-, oat drinks, and cow milk. Overall, few differences were observed comparing plant-based drinks with another or with cow milk on cardiometabolic outcomes. Replacing 500 mL/d of cow’s milk with soy drink may reduce low-density lipoprotein (LDL) cholesterol [MD: –0.47 mmol/L (–0.85; –0.10); low certainty], but showed no effect for high-density lipoprotein (HDL) cholesterol [MD: 0.01 mmol/L (–0.03; 0.05); moderate certainty]. Oat drink may slightly reduce total cholesterol compared with cow milk and rice drink [MD: –0.12 mmol/L (–0.24; –0.01); MD: –0.23 mmol/L (–0.40; –0.05)], but the evidence is very uncertain. Replacing 500 mL/d of cow milk with soy drink may reduce systolic and diastolic blood pressure [MD: –8.23 mmHg (–10.90; –5.55); MD: –7.82 mmHg (–13.61; –2.02); low certainty]. Our findings suggest that evidence for cardiometabolic differences between plant-based drinks and cow milk is limited. However, soy drink may lower blood pressure and LDL cholesterol compared with cow milk. The certainty of evidence was mainly low, highlighting the need for high-quality RCTs.</div><div>This study was registered at PROSPERO as CRD42025638028.</div></div>","PeriodicalId":7349,"journal":{"name":"Advances in Nutrition","volume":"17 3","pages":"Article 100595"},"PeriodicalIF":9.2,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146133631","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":"Limited Evidence of Benefits from Clinical Trials of Human-Identical Milk Oligosaccharides for Infants","authors":"Rupak Shivakoti ,&nbsp;Barbara Laughton ,&nbsp;Jenna Mandell ,&nbsp;Ana Barrios-Tascon ,&nbsp;Reshma Rajendran ,&nbsp;Richard Glashoff ,&nbsp;Lars Bode ,&nbsp;Grace Aldrovandi ,&nbsp;Louise Kuhn","doi":"10.1016/j.advnut.2026.100593","DOIUrl":"10.1016/j.advnut.2026.100593","url":null,"abstract":"<div><div>Human milk oligosaccharides (HMOs) are complex carbohydrates unique to human milk, and a wealth of observational and mechanistic studies indicate that HMOs are key to infant health by supporting gut microbiota and immune development. This review synthesizes evidence from randomized clinical trials evaluating whether supplementation with human-identical milk oligosaccharides (HiMOs), i.e., synthetic HMOs, in infants and young children improves health outcomes. We identified 12 randomized clinical trials: 8 in healthy infants, 3 in special populations of infants, and 1 in young children. We selected only trials with a randomized, parallel group design; most of the included trials also had an observational human milk-fed control group. The most widely evaluated HiMO was 2′-fucosyllactose used alone or in combination with other HiMOs. In some trials, other bioactive components were included in the control and/or intervention formula groups, complicating interpretation. All trials in healthy infants confirmed the noninferiority of HiMO-supplemented formula on growth and tolerability relative to control formula. Results were mixed with respect to reductions in morbidity, and all studies were underpowered for more severe morbidity outcomes. Stool microbiota and biomarkers of inflammation and gut function generally shifted in a direction closer to human milk-fed infants with HiMO intervention. Some growth improvements were noted in association with HiMO intervention in preterm infants and in infants with severe acute malnutrition. HiMO supplementation may be a promising intervention to improve child health, but due to the heterogeneity and limitations of the clinical trials that have been undertaken, many questions remain about the nature of the benefits and the specific populations who might benefit.</div></div>","PeriodicalId":7349,"journal":{"name":"Advances in Nutrition","volume":"17 3","pages":"Article 100593"},"PeriodicalIF":9.2,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145991852","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":"Prevalence of Overweight and Obesity and Its Associated Factors among Preschool Children in Sub-Saharan Africa: a Systematic Review and Meta-analysis","authors":"Abdu Hailu Shibeshi ,&nbsp;Zeytu Gashaw Asfaw ,&nbsp;Aragaw Asfaw Hasen ,&nbsp;Kassaye Getaneh Arge ,&nbsp;Nuru Mohammed Hussen ,&nbsp;Abubeker Alebachew Seid ,&nbsp;Abdulkerim Hassen Moloro ,&nbsp;Hiwot Altaye Asebe ,&nbsp;Etsay Woldu Anbesu ,&nbsp;Dejen Kahsay Asgedom ,&nbsp;Molla Getie Mehari ,&nbsp;Bizunesh Fantahun Kase","doi":"10.1016/j.advnut.2026.100594","DOIUrl":"10.1016/j.advnut.2026.100594","url":null,"abstract":"<div><div>Overweight and obesity among preschool children have become significant public health concerns in sub-Saharan Africa (SSA), driven by rapid urbanization, economic growth, and dietary shifts. This systematic review and meta-analysis assessed the prevalence of overweight and obesity and its associated factors among preschool children in SSA. A comprehensive search of peer-reviewed and gray literature was conducted up to 29 January, 2025, using databases such as MEDLINE, ScienceDirect, Research4Life, and <em>African Journals of Online</em>. The study followed Preferred Reporting Items for Systematic Review and Meta-Analysis guidelines. Due to significant heterogeneity (<em>I</em>² = 99.4%, <em>P</em> &lt; 0.001) identified through Cochran’s Q statistic, a random-effects model was used to estimate the pooled prevalence. Publication bias was assessed with funnel plots and Egger’s test. A total of 27 studies (<em>n</em> = 30,805) were included; 77.78% of studies showed a low risk of bias per the Joanna Briggs Institute appraisal tool. The pooled prevalence of overweight/obesity was 14.77% [95% confidence interval (CI): 11.94%, 17.60%]. Key factors associated with overweight/obesity included being aged 2–3 y [odds ratio (OR) = 2.65; 95% CI: 1.73, 4.05] and 48–60 mo (OR = 1.99; 95% CI: 1.33, 2.98), spending over 2 h on screen activities (OR = 3.33; 95% CI: 1.89, 5.84), consuming sweet foods (OR = 2.55; 95% CI: 1.86, 3.48), and having an overweight mother (OR = 3.72; 95% CI: 1.30, 10.65). Given the high prevalence, interventions should focus on promoting healthy diets, reducing screen time, encouraging physical activity, and supporting maternal health and nutrition. The review was registered in PROSPERO as CRD42024560996.</div></div>","PeriodicalId":7349,"journal":{"name":"Advances in Nutrition","volume":"17 3","pages":"Article 100594"},"PeriodicalIF":9.2,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145991919","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":"A Scoping Review of Sensor-Based Capture of Eating and Drinking Occasions That Could Be Used for Enhancing Personalized Nutrition Interventions in Real Time","authors":"Leanne Wang ,&nbsp;Margaret Allman-Farinelli ,&nbsp;Eric Hekler ,&nbsp;Anna Rangan","doi":"10.1016/j.advnut.2025.100575","DOIUrl":"10.1016/j.advnut.2025.100575","url":null,"abstract":"<div><h3>Background</h3><div>Traditional dietary assessment methods used in nutrition research and practice are self-reported, burdensome, and prone to error, limiting utility. In recent years, sensor-based devices and machine learning approaches have emerged as promising tools for automating eating behavior detection and initiating different approaches to assessing intake. These technologies have potential to enhance dietary assessment and its accuracy, support personalized dietary interventions through real time, context-aware feedback, and reduce burden on respondents and practitioners. A prior 2021 review by the authors concluded that existing devices are not yet feasible for dietetic practice.</div></div><div><h3>Objectives</h3><div>This study aims to conduct a scoping review of sensor-based devices capable of detecting eating and drinking and to evaluate whether recent advancements have improved their feasibility for use in real-world nutrition applications.</div></div><div><h3>Methods</h3><div>A scoping review was conducted using the Preferred Reporting Items for Systematic reviews and Meta-Analyses for Scoping Reviews framework. Studies published between January 2022 and September 2025 that evaluated the performance of sensor-based devices in identifying food and/or beverage intake were included. Devices were evaluated against 6 feasibility criteria to assess real-world applicability: ≥80% accuracy, freedom in food and beverage selection; social acceptability and comfort; long battery life; real-time detection; and ability to detect both eating and drinking.</div></div><div><h3>Results</h3><div>Fifty studies (52 devices) were included: 19 wrist-worn, 8 neck-worn, 7 ear-worn, 7 glasses-type, 6 in the “other” category, and 5 multiposition devices. None met all 6 feasibility criteria. The most common unmet criterion was adequate battery life (<em>n</em> = 43), followed by real-time processing (<em>n</em> = 37), variety of foods or behaviors in testing (<em>n</em> = 31), detection of both eating and drinking (<em>n</em> = 31), social acceptability and comfort (<em>n</em> = 15), and accuracy (<em>n</em> = 10).</div></div><div><h3>Conclusions</h3><div>Although no sensor-based devices met all criteria for real-world feasibility, recent advancements suggest meaningful progress in areas of social acceptability and computational efficiency. These improvements signal a shift toward more practical, user-friendly designs that may soon be capable of supporting automated dietary assessment and individualized nutrition care.</div></div>","PeriodicalId":7349,"journal":{"name":"Advances in Nutrition","volume":"17 2","pages":"Article 100575"},"PeriodicalIF":9.2,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145812346","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":"Multimodal (Bio)Markers and Risk of Obesity – A Comprehensive Scoping Review","authors":"Farhad Vahid ,&nbsp;Alejandra Loyola-Leyva ,&nbsp;Josep Tur ,&nbsp;Cristina Bouzas ,&nbsp;Yvan Devaux ,&nbsp;Laurent Malisoux ,&nbsp;Silvia Garcia ,&nbsp;Magali De Carvalho ,&nbsp;Marina Ródenas-Munar ,&nbsp;Jonathan Turner ,&nbsp;Elsa Lamy ,&nbsp;Maria Perez-Jimenez ,&nbsp;Gitte Ravn-Haren ,&nbsp;Rikke Andersen ,&nbsp;Sarah Forberger ,&nbsp;Rajini Nagrani ,&nbsp;Maria Giovanna Onorati ,&nbsp;Gino Gabriel Bonetti ,&nbsp;Daniela Rodrigues ,&nbsp;Torsten Bohn","doi":"10.1016/j.advnut.2025.100579","DOIUrl":"10.1016/j.advnut.2025.100579","url":null,"abstract":"<div><div>Obesity has been associated with several chronic diseases, especially noncommunicable ones and related comorbidities. Despite international efforts to decrease the prevalence of obesity, the number of persons struggling with this ailment is not decreasing. An important aspect is obesity prevention, including the early detection of the risk, i.e. whether an individual is likely to develop obesity, to allow for early risk stratification and countermeasure initiation. However, obesity is a complex and multifactorial complication, and many factors appear to play a role, including age, sex, diet, physical activity (PA), psychological and emotional status, genetic make-up, epigenetics, and gut microbiota. One isolated biomarker, therefore, could not enable optimal risk stratification and prognosis for the individual; rather, a combined set or multimodal approach to tackle risk prediction is demanded. Such a multimodal interpretation would integrate biomarkers from various domains, such as more classical markers (insulin, leptin), multiomics (e.g. genetics, epigenomics, transcriptomics, proteomics, and metabolomics), behavioral attributes (dietary, PA, and sleep patterns, and smoking status), psychological traits (mental health status, depression, and eating disorders), and gut–microbiota (composition and diversity) into a combined interpretation, also employing more advanced interpretation tools, such as machine learning and artificial intelligence. In this scoping review, we aimed to summarize the current state of the art in this area, highlighting the progress and novel approaches in combating obesity, and focusing on the feasibility and effectiveness of such biomarkers and their application within clinical trials. In addition, we outline potential future steps and recommendations for future approaches.</div></div>","PeriodicalId":7349,"journal":{"name":"Advances in Nutrition","volume":"17 2","pages":"Article 100579"},"PeriodicalIF":9.2,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145844394","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}