Food and Nutrition Bulletin最新文献

{"title":"Modeling Growth Trajectories in Stunted Children Under 5 Years of Age: A Retrospective Analysis of Clinical Data from Guatemala.","authors":"Christian Lumley, Lee Voth-Gaeddert, Gabriela Montenegro-Bethancourt, Leah Ratner, Shela Sridhar, Anahí Venzor-Strader, Stephen Alajajian, Peter Rohloff","doi":"10.1177/03795721261437900","DOIUrl":"10.1177/03795721261437900","url":null,"abstract":"<p><p>BackgroundStunting is a pervasive issue in low- and middle-income countries, particularly affecting rural and Indigenous populations. Little reported data is available on the growth of clinical populations of children with stunting, including those with more severe stunting.ObjectiveThis study examines growth trajectories of children under 5 years of age from a long-standing clinical care program to address childhood stunting that provides monthly at-home growth monitoring, family food rations, nutrition counseling, micronutrient supplementation, and childhood illness management.HypothesisWe hypothesized that children with stunting are a clinically heterogeneous group, where some experience ongoing growth failure and others catch-up growth.MethodsWe utilized data from 2827 children and 38 864 height measurements. We applied superimposition by translation and rotation modeling to characterize growth patterns.ResultsMedian age at first measurement was 9 months (IQR: 3, 16) and median length of growth monitoring was 17 months (IQR: 8, 30). Median height-for-age Z-score at first measurement was -2.51 (IQR: -3.23, -1.68). There was variability in growth dynamics, with some children showing potential catch-up growth, particularly those with the lowest initial height-for-age metrics. In regression analysis, factors significantly associated with growth improvement over time included greater initial severity of stunting, male sex, and geographical region.ConclusionsThese findings underscore the heterogeneity of growth responses among stunted children and the need for individualized intervention strategies. They emphasize the necessity for ongoing investigations of both tailored clinical interventions and novel factors associated with growth variability and catch-up growth.</p>","PeriodicalId":12394,"journal":{"name":"Food and Nutrition Bulletin","volume":" ","pages":"73-84"},"PeriodicalIF":2.3,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147671930","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Better Capacity for Better Nutrition in Asia:: <i>Nurturing and Engaging National and Regional Academic Institutions to Advance the Nutrition Agenda in Asia</i>.","authors":"","doi":"10.1177/03795721261441191","DOIUrl":"10.1177/03795721261441191","url":null,"abstract":"","PeriodicalId":12394,"journal":{"name":"Food and Nutrition Bulletin","volume":" ","pages":"71-72"},"PeriodicalIF":1.6,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147688482","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Differential Determinants of Dairy, Egg, and Meat Consumption Among Children Aged 6 to 23 Months in Harar City, Eastern Ethiopia: A Secondary Data Analysis.","authors":"Bira Belay","doi":"10.1177/03795721261450295","DOIUrl":"10.1177/03795721261450295","url":null,"abstract":"<p><p>BackgroundAnimal-source foods (ASFs) are critical for addressing child undernutrition, yet consumption remains low in Ethiopia. Prevailing evidence often aggregates ASFs, potentially obscuring the unique socioeconomic and demographic determinants of specific, nutrient-rich foods like dairy, eggs, and meat.ObjectiveThis secondary analysis aimed to compare the determinants of dairy, egg, and meat/poultry consumption among children aged 6 to 23 months in Harar City, Eastern Ethiopia, using existing cross-sectional data.MethodsThis secondary analysis utilized data from an institution-based cross-sectional study conducted among 542 mother-child pairs from July to August 2024. The original data were collected electronically via structured questionnaires. For this analysis, consumption of each ASF (dairy, eggs, meat/poultry) in the preceding 24 h was the primary outcome. Separate multivariable logistic regression models identified adjusted factors associated with each food type. The very low prevalence of meat/poultry consumption (4.5%) limits statistical power for detecting associations.ResultsConsumption prevalence was 28.6% for dairy, 15.0% for eggs, and 4.5% for meat/poultry. Household wealth exhibited a strong, positive gradient for all ASFs, most pronounced for eggs (richest vs poorest: Adjusted Odds Ratio [AOR] = 3.50; 95% Confidence Interval [CI]: 1.33, 9.24). Maternal primary education was significantly associated with higher odds of dairy (AOR = 1.93; 95% CI: 1.17, 3.19) and egg consumption (AOR = 2.52; 95% CI: 1.26, 5.05) but not meat. Large family size (≥7 members) was a major constraint, reducing the odds of egg consumption by 70% (AOR = 0.30; 95% CI: 0.13, 0.74).ConclusionsThe socioeconomic and demographic determinants of ASF consumption are not uniform but are distinctly patterned by food type. Nutrition-sensitive interventions must therefore be equally specific, combining economic strategies to improve affordability with targeted education-particularly for dairy and eggs-while addressing intrahousehold food allocation in larger families.</p>","PeriodicalId":12394,"journal":{"name":"Food and Nutrition Bulletin","volume":" ","pages":"109-115"},"PeriodicalIF":2.3,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147928085","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Global Food Policies and Obesity: Lessons From Selected Country Experiences.","authors":"Esther Ugo Alum, Ada Ak Akwari, Muhammed Kibuuka, Patience Owere Ekpang, Joseph Enyia Ekpang, Obasi Uche Orji","doi":"10.1177/03795721251408170","DOIUrl":"10.1177/03795721251408170","url":null,"abstract":"<p><p>BackgroundObesity is a global public health crisis exacerbated by ultra-processed and nutrient-poor foods. Despite policy interventions, progress remains uneven due to socioeconomic, political, and industry barriers.ObjectiveThis review examines global food policies on obesity prevention, highlights implementation gaps, and suggests pathways for more equitable, coordinated action.MethodsA narrative review was conducted using literature from PubMed and Scopus (2017-2025), including peer-reviewed studies, policy documents, and international agency reports. Key search terms included \"global food policies,\" \"obesity prevention,\" \"ultra-processed foods,\" \"nutrition labeling,\" and \"sugar taxes.\" Inclusion criteria encompassed studies on policy strategies for obesity prevention and healthier food environments.ResultsThe review categorized food policy interventions into key thematic areas: fiscal policies, nutrition labeling, marketing restrictions, regulation of ultra-processed foods (UPFs), out-of-home/food-service policies (eg, menu and nutrient labeling, portion-size and sodium limits, healthy defaults, procurement standards), school food policies, and international coordination. Evidence shows that front-of-package labeling and sugar-sweetened beverage levies are effective in some regions. Healthy food subsidies and purchase incentives yield mixed but promising results, especially among low-income groups. However, socioeconomic disparities, industry resistance, weak regulations, and poor multisector and public-private partnerships (PPPs) governance limit their scalability and sustainability.ConclusionsCurrent global food policy efforts are insufficient to curb the escalating obesity epidemic. Transformative, multisectoral, and equity-focused policy frameworks augmented by digital tools for monitoring, enforcement, and targeted health promotion are critical to accelerate progress and reduce inequities. Priority should be given to regulating UPFs, standardizing labels, tightening marketing controls, and integrating obesity prevention into health policies.</p>","PeriodicalId":12394,"journal":{"name":"Food and Nutrition Bulletin","volume":" ","pages":"51-64"},"PeriodicalIF":2.3,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145988941","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Reviewers List 2025.","authors":"","doi":"10.1177/03795721261418867","DOIUrl":"https://doi.org/10.1177/03795721261418867","url":null,"abstract":"","PeriodicalId":12394,"journal":{"name":"Food and Nutrition Bulletin","volume":"47 1","pages":"65"},"PeriodicalIF":1.6,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147275808","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Predictive Modeling to Identify Stunting Risk in Children.","authors":"Siti Rahayu Nadhiroh, Armedy Ronny Hasugian, Allisa Nadhira Permata Arinda Putri, Su Peng Loh, Stefania Widya Setyaningtyas, Sa'idah Zahrotul Jannah, Matthew Kelly","doi":"10.1177/03795721251405722","DOIUrl":"10.1177/03795721251405722","url":null,"abstract":"<p><p>BackgroundIndonesia still experiences a high stunting burden. This has both short- and long-term impacts, including higher morbidity and mortality, impaired future growth, increased chronic disease risk, and reduced productivity later in life.ObjectiveThis paper aims to assess the main risk factors associated with stunting in Indonesia and to develop a predictive model to identify stunting risk in children.MethodsData from the 2018 Indonesian Basic Health Research database were analyzed for children aged under 5 years (<i>n</i> = 13 106) and their mothers. Bivariate analysis was used to select variables significantly associated with stunting risk. A decision tree model was then applied to predict the risk of stunting by age group, and the data were plotted into a receiver operating characteristic (ROC) curve.ResultsThe stunting rate reached 25.8%. Based on the decision tree, age, sex, birth weight, birth length, mother's highest level of education, handwashing habits, and exclusive breastfeeding were found to impact stunting risk. The prediction model demonstrated an accuracy of 73.8% for assessing the risk of stunting. The ROC curve showed an area under the curve of 63.7%, with a sensitivity of 60.1% and specificity of 59.8%.ConclusionsThis prediction model is accurate for assessing the risk of stunting. The decision tree-based prediction model performs reasonably well in differentiating between stunted and non-stunted children across different age groups, as indicated by the ROC curve.</p>","PeriodicalId":12394,"journal":{"name":"Food and Nutrition Bulletin","volume":" ","pages":"20-29"},"PeriodicalIF":2.3,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145984715","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"From Nutrition for All to Precision Nutrition for Everyone: A Journey Through Omics and Asian Metabolic Health. Nevin S. Scrimshaw Prize Lecture 2025 | IUNS-ICN, Paris, France.","authors":"Minjoo Kim","doi":"10.1177/03795721251409101","DOIUrl":"10.1177/03795721251409101","url":null,"abstract":"<p><p>This Nevin S. Scrimshaw Prize Lecture presented in Paris on August 28, 2025, chronicles the scientific journey from Dr. Scrimshaw's vision of \"Nutrition for All\" to the emerging paradigm of \"Precision Nutrition for Everyone,\" with a focus on Asian metabolic health. The central research question-\"Why don't Western nutrition guidelines work optimally for Asian people?\"-arose from clinical observations of Korean patients showing suboptimal metabolic outcomes despite adherence to conventional dietary recommendations. By 2024, nearly 1 in 3 Korean adults had metabolic disease, with particularly alarming trends among Millennials and Generation Z developing risk factors at earlier ages and lower BMIs than Western populations. Through 3 distinct research phases spanning 2017-2029, this work demonstrates that population specific precision nutrition requires integration of genomics, metabolomics, and culturally relevant dietary interventions. Phase I (2017-2020) identified obesity-inflammation biomarkers including NK cell activity and lipid mediators (lysoPE/lysoPC) in metabolically unhealthy obese individuals. Phase II (2019-2024) developed predictive models combining Genetic Risk Score and Oxidative Stress Score, achieving 75.1% accuracy for obesity prediction. Korean-specific genetic variants (<i>TMEM182</i> rs141764639, <i>NPC1L1</i> rs217434, <i>LP-PLA2</i> Val279Phe) were identified as strong metabolic disease predictors absent from Western genome-wide studies. Phase III (2024-2029) translated omics findings into actionable dietary recommendations, establishing a fiber threshold of ≥17.28 g/day for maintaining healthy metabolic profiles and demonstrating metabolic benefits of legume-based rice substitution through randomized controlled trials. This journey underscores that precision nutrition must democratize health equity by recognizing genetic diversity as signal rather than noise, ensuring that molecular discoveries translate into accessible public health interventions for all populations.</p>","PeriodicalId":12394,"journal":{"name":"Food and Nutrition Bulletin","volume":" ","pages":"3-6"},"PeriodicalIF":2.3,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146009566","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Effect of Social and Behavioral Change Communication Combined with Egg Production Intervention on Maternal Dietary Diversity: A Pilot Study in Ethiopia.","authors":"Getu Gizaw, Nega Mekonnen, Asres Mamo, Abebe Fekadie, Sharew Nigussie, Mekonnen G/Egziabher, Wubishet Mekonin, Shifera Girma, Samuel Mulat, Afomiya Mekonnen, Kalkidan Nigussie, Monique Beun","doi":"10.1177/03795721251400799","DOIUrl":"10.1177/03795721251400799","url":null,"abstract":"<p><p>BackgroundIn many low-income settings, pregnant and lactating women (PLW) often have poor dietary diversity, poor nutritional status, and perpetuation of a cycle of malnutrition.ObjectiveThis study aimed to assess the association of Social and Behavioral Change Communication (SBCC) combined with an egg production intervention on the feeding practices of PLW in the Bishoftu and East Shoa Zone, Ethiopia.MethodA 4-round repeated cross-sectional survey was conducted, including 459, 494, 425, and 547 PLW in the first, second, third, and fourth rounds, respectively. The Market-based Innovation for Nutrition in Ethiopia (MINE) project implemented the egg hub model to increase egg production, and a comprehensive SBCC package was used to promote egg consumption. Dietary diversity was assessed using the Minimum Dietary Diversity for Women (MDD-W) tool, with intake measured through a 24-h recall method. Dietary diversity among PLW was evaluated by comparing data from the first survey round to subsequent rounds. Multivariable logistic regression identified the independent association of the MINE intervention with MDD-W, controlling for confounders.ResultThe proportion of PLW meeting MDD-W increased from 29.9% in the first survey round to 71.3% in the second, 56.7% in the third, and 66.8% in the fourth rounds. Maternal knowledge improved from 52.7% to 78.2%, and favorable attitudes toward feeding recommendations rose from 76.3% to 87.2%.ConclusionThe findings suggest the combined intervention was associated with significant improvements in the dietary diversity, knowledge, and attitudes of PLW, suggesting that it should be scaled up across Ethiopia to evaluate its broader effectiveness.</p>","PeriodicalId":12394,"journal":{"name":"Food and Nutrition Bulletin","volume":" ","pages":"30-40"},"PeriodicalIF":2.3,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145965698","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Prevalence and Determinants of Anemia among Indigenous Orang Asli Children Under 5 in Rural Peninsular Malaysia.","authors":"Mohamad Borhanuddin Helmy Bin Zanail, Foong Ming Moy, Tharani Loganathan","doi":"10.1177/03795721251383205","DOIUrl":"10.1177/03795721251383205","url":null,"abstract":"<p><p>BackgroundChildhood anemia is a major global health issue, disproportionately affecting indigenous communities like the Orang Asli in Peninsular Malaysia. Despite its high prevalence, it remains under-researched and overshadowed by other public health priorities.ObjectivesThis study aims to quantify the burden of anemia and identify its determinants among these vulnerable children.MethodsA cross-sectional study was conducted in 4 rural districts in Peninsular Malaysia, involving 503 Orang Asli children aged ≤ 5 years. The children were purposively sampled from the mobile clinics. Anthropometry was measured and anemia was assessed using point-of-care photometry. Data on sociodemographic, childcare practices, home environment, and food insecurity were collected via structured interviews with parents or caregivers. Multivariate logistic regression was used to determine the factors associated with anemia.ResultsThe prevalence of anemia was 86.1% (95% CI: 82.8, 89.0); with 19.5% (95% CI: 16.1, 23.2) classified as mild, 52.1% (95% CI:47.6, 56.5) moderate, and 14.5% (95% CI: 11.6, 17.9) severe. Factors associated with anemia were early initiation of complimentary feeding (aOR: 2.7, 95% CI: 1.0, 7.0) and recent fever or upper respiratory infections (aOR: 2.6, 95% CI: 1.3, 5.3). Geographic variations were observed, with children from Jerantut (aOR: 0.2, 95% CI: 0.1, 0.4) and Lipis (aOR: 0.3, 95% CI: 0.1, 0.9) showing lower odds of anemia.ConclusionsAnemia prevalence among Orang Asli children is alarmingly high. Targeted interventions should improve feeding practice and enhance health management. Identifying district-specific lower risk characteristics can guide broader strategies to tackle childhood anemia among the indigenous Orang Asli children.</p>","PeriodicalId":12394,"journal":{"name":"Food and Nutrition Bulletin","volume":" ","pages":"41-50"},"PeriodicalIF":2.3,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145997771","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"FAO DietSolve: A Diet Optimization Tool for Low- and Middle-Income Countries Developing Dietary Guidelines.","authors":"Ramani Wijesinha-Bettoni, Rozenn Gazan, Ana Islas Ramos, Tomas Buendia, Fatima Hachem","doi":"10.1177/03795721251379976","DOIUrl":"10.1177/03795721251379976","url":null,"abstract":"<p><p>BackgroundLow- and middle-income countries (LMICs) developing dietary guidelines often face challenges in translating nutrient requirements into practical, culturally acceptable recommendations due to limited data and technical resources. To address this gap, the Food and Agriculture Organization (FAO) developed FAO DietSolve, a user-friendly tool designed to support such efforts through a systematic and evidence-based approach.ObjectiveTo present an overview of the FAO DietSolve methodology, demonstrating its application through a hypothetical example, and highlighting its utility in supporting the development of dietary guidelines in LMICs.MethodsFAO DietSolve uses a mathematical optimization approach using Microsoft Excel's Solver add-in. It combines food groups that meet both nutritional constraints (energy and nutrient requirements) and acceptability constraints (minimum/maximum limits for each food group), while optimizing an objective function. The tool also allows for integration of additional sustainability criteria such as cost, cultural acceptability, and environmental impact into developed dietary patterns. Food groupings are based on representative foods and food consumption data. Objective functions can vary, such as minimizing deviation from observed dietary patterns.ResultsThe tool has been utilized by 8 LMICs in developing their national dietary guidelines. The optimized dietary patterns generated have supported the creation of food selection guides tailored to different population groups and informed food graphics.ConclusionsFAO DietSolve provides LMICs with a practical, data-driven method for developing comprehensive, sustainable, and culturally appropriate dietary patterns. It enables countries to address multiple dimensions of diets and food systems, in line with FAO's new food systems-based dietary guidelines methodology.</p>","PeriodicalId":12394,"journal":{"name":"Food and Nutrition Bulletin","volume":" ","pages":"7-19"},"PeriodicalIF":1.6,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145336726","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}