Current Developments in Nutrition

Objective: Observational studies have provided evidence for positive associations between inflammatory dietary patterns (IDP) and mental health, which might be mediated by immune activation. However, a causal relationship has not yet been established. Here we aim to investigate the causal nature of associations between IDP and mental health traits (depressed affect, mood swings, neuroticism, feed-up feelings, worry, irritability) using Mendelian Randomization (MR) analyses. Method: In the UK Biobank dataset, IDP was identified by conducting a partial least squares regression (PLSR) on the items of the food frequency questionnaire along with three inflammatory biomarkers as response variables: C-reactive protein, platelets, and white blood cell (WBC) counts. An individual-level genome-wide association study (GWAS) of IDP was performed within an unrelated European subsample from the UK Biobank (n=320,137) and summary-level GWAS data for mental health traits were utilized for bi-directional two-step MR to test the association between genetically predicted IDP and mental health traits. Result: The first PLSR component was retained for subsequent analysis, with a higher IDP score indicating a more frequent consumption of processed meat, beef, pork, lamb/mutton, and poultry. Genome-wide association analysis identified 101 independent genomic loci. MR analyses indicated a uni-directional positive relationship from IDP to neuroticism and a positive bi-directional relationships between IDP and depressed affect, mood swings, fed-up feelings, and irritability. The mediation effect of total white blood cell count on neuroticism score was also significant (adjusted P<0.05). Conclusion: Our findings identified genetic loci and functional properties of IDP and provided evidence for causal pathways with depressed affect, mood swings, irritability, and fed-up feelings. Implementing dietary advice and interventions should become part of a public mental health approach. Keywords: Inflammatory dietary pattern; Partial least squares regression; Genome-wide association study; Mendelian Randomization; Mental health.

Micronutrient deficiencies are prevalent in Madagascar, where diets rely heavily on starchy staples and access to animal-source foods is limited. Small dried fish (SDF) are widely available, yet their nutritional value and health risks remain poorly documented. We combined market surveys, taxonomic identification, and micronutrient and heavy metal analyses of nine SDF types collected along National Road 7. The samples encompassed 33 fish families, were dominated by small pelagic species (Clupeidae and Engraulidae), and were appreciated by consumers. A daily portion (5 g for infants; 10 g for young children and women of childbearing age) contributed substantially to Recommended Nutrient Intakes (RNIs). Across samples and groups, SDF were rich (>30% of RNI) in selenium and, for infants and young children, in calcium. All samples were a source of (>15% of RNI), or rich in, phosphorus, whereas iron contributions were more variable but often substantial. Several samples exceeded 100% of RNIs for selenium, calcium, iron, or manganese in infants and young children, and some were also sources of magnesium and, less frequently, zinc. Vitamin A was absent from sun-dried samples but detected in a smoked freshwater type. Heavy metal concentrations varied markedly, and portions of several types led to estimated exposures to inorganic arsenic or cadmium exceeding reference values, whereas freshwater species and some pelagic types showed a more favorable nutrition-risk balance. Overall, SDF are affordable, nutrient-dense foods with strong potential to alleviate micronutrient deficiencies in Madagascar, while highlighting the need for type-specific guidance to balance nutritional benefits and contamination risks.

Background: The growing burden of lifestyle-related chronic diseases has increased the need for clinically interpretable decision-support tools capable of integrating artificial intelligence with evidence-based preventive nutrition. Although machine learning has shown considerable potential for health risk prediction, most existing approaches remain limited to isolated predictive models or conventional nutritional software, with little integration of multidimensional clinical assessment and personalized recommendations. Objective: To develop and internally validate NutrIA, a hybrid web-based Clinical Decision Support System (CDSS) that combines machine learning, validated clinical assessment, structured clinical reasoning and personalized nutritional recommendations for preventive medicine. Methods: NutrIA was developed using harmonized data from the National Health and Nutrition Examination Survey (NHANES, 1988 to 2018). A supervised machine learning model was trained to estimate 5-, 10- and 20-year all-cause mortality risk and subsequently integrated with an adaptive clinical questionnaire, validated screening instruments, nutritional indicators, dietary clustering, clinical phenotyping and a transparent rule-based recommendation engine within a unified web-based platform. Results: The predictive model achieved ROC-AUC values of 0.894, 0.914 and 0.923 for 5-, 10- and 20-year mortality prediction, respectively. The implemented CDSS incorporates an adaptive questionnaire (151 items), 39 validated clinical assessment instruments, 17 clinical phenotypes and 31 dietary clustering modules to generate individualized nutritional and lifestyle recommendations together with an automated clinical report. The integrated framework translates probabilistic risk estimates into clinically interpretable decision support for personalized preventive nutrition. Conclusions: NutrIA demonstrates the technical feasibility of integrating machine learning with knowledge-based clinical reasoning within a single web-based CDSS for preventive nutrition. Although external validation and prospective clinical evaluation are required before routine implementation, the proposed architecture represents a promising step toward clinically interpretable artificial intelligence for personalized nutritional care.

Low protein (LP) diets improve metabolic health in rodents and humans. In rodents, LP diets are typically implemented by replacing protein with carbohydrates like sucrose or cornstarch, keeping diets isocaloric. However, humans can choose from many different types of carbohydrate, and how dietary carbohydrate quality - the precise composition of the dietary sugars - impacts the response to dietary protein remains largely unexplored. Here, mice were fed control (21% protein) or LP (7% protein) diets with four different carbohydrate sources: sucrose, a 1:1 glucose/fructose mixture, glucose, or fructose. While LP diets improved metabolic health across all groups in male mice, carbohydrate quality also significantly altered specific health outcomes, with fructose-fed mice having the lowest body weight and adiposity of all control diets. In female mice, responses to LP diets were influenced by carbohydrate quality, with certain sugars inducing a stronger metabolic response to LP diets than previously seen. Finally, in female APP/PS1 mice, a model of Alzheimer's disease, we find that although LP diets reduce A-beta; plaque burden irrespective of carbohydrate type, dietary sugar type does influence spatial memory. Together, these results demonstrate that while dietary protein is a critical determinant of metabolic and neurological health, carbohydrate quality influences these outcomes in a sex-specific manner.

Plant-based diets may benefit planetary and human health. However, the molecular pathways linking plant-based diet quality to chronic diseases remain unclear. In 4,372 participants from the European Prospective Investigation into Cancer and Nutrition, we assessed 7,285 SomaScan-measured aptamers to identify circulating proteins associated with healthful (hPDI) and unhealthful (uPDI) plant-based dietary patterns using complementary statistical and machine-learning approaches. We then applied cis-pQTL Mendelian randomization (MR) and colocalization to prioritize diet-associated proteins with genetic evidence for associations with overall and site-specific cancers, type 2 diabetes (T2D), and cardiovascular disease (CVD). Among diet-associated proteins with MR evidence, 8 hPDI- and 12 uPDI-related protein-disease associations showed strong colocalization, including EGFR-breast cancer, MMP10-endometrial cancer, NCAN-T2D, and PCSK9-CVD. These findings identify candidate proteins that may link plant-based diet quality to chronic diseases and provide biological insights into the potential health benefits of healthful plant-based diets, which are increasingly relevant to public and planetary health.

Objective To develop and evaluate an automated large language model (LLM)-based framework for conducting meta-analyses of nutrition-related exposures and the risk of breast, ovarian, and uterine cancers. Design We developed MetaFemina, an automated evidence-synthesis pipeline for women's cancers that integrates keyword-based literature retrieval, LLM-assisted evidence extraction, and random-effects meta-analysis. We evaluated its performance against two recently published peer-reviewed meta-analyses and compared exposure-outcome associations across the three cancer types. Data sources PubMed articles identified through keyword-based searches of titles and abstracts. Methods MetaFemina was developed as a web platform that identifies relevant scientific articles, automatically extracts relevant information using LLMs, and synthesizes extracted evidence using random-effects meta-analysis. Additional analyses included assessment of heterogeneity, publication bias, and leave-one-out sensitivity analyses. The platform also provides sample size calculations based on synthesized effect sizes and generates visual summaries and plain-language interpretations. Results Compared with two recent peer-reviewed meta-analyses of folate and vitamin E intake in relation to breast cancer risk, MetaFemina demonstrated high sensitivity (81.82% and 80%, respectively) in identifying eligible studies and additionally retrieved relevant articles that had been missed by manual screening (27 and 13, respectively). Among 226 exposures considered, lutein and beta-carotene were significantly associated with lower risks of breast, ovarian, and uterine cancers. Vitamin D, antioxidants, and soy were significantly associated with lower risks of both breast and ovarian cancers, whereas calcium and folic acid were significantly associated with lower risks of both breast and uterine cancers. In contrast, iron, red meat, and copper were significantly associated with higher risks of both breast and uterine cancers. omega-6 fatty acids showed contrasting associations, being significantly associated with higher breast cancer risk but lower ovarian cancer risk. After restriction to dietary-intake studies, these cross-cancer significant associations remained statistically significant except for copper, which no longer met the two-study threshold for either breast or uterine cancer. Additionally, calcium became significantly associated with lower ovarian cancer risk, resulting in significant negative associations across all three cancer types, while vitamin E became significantly associated with lower breast cancer risk and remained significantly associated with lower ovarian cancer risk. Conclusions MetaFemina demonstrated high sensitivity for identifying relevant scientific literature, extracts key evidence, and performs statistically rigorous automated meta-analyses. The framework may facilitate more rapid evidence synthesis in nutritional epidemiology and may support researchers in study design, hypothesis generation, and interpretation of emerging evidence.

Background: Many epidemiological studies rely on dietary exposures taken from baseline only. This limits our understanding of diet-disease associations because it requires assuming a level of temporal stability, either by individuals or dietary pattern composition. Objectives: This study aimed to evaluate these analytic assumptions of pattern structure consistency and baseline adherence using a cohort of US Black women with repeated measures of food frequency questionnaires (FFQ). Methods: Data from 6151 Black women aged 21-69 from the Black Women's Health Study with complete FFQ data in 1995, 2001, 2013, and 2021 were evaluated for temporal stability. Baseline dietary patterns were derived using an overfitted latent class model. Parameter estimates from the baseline model were then applied to subsequent waves to track individual transitions between existing patterns. Dietary patterns were also derived at each time point using an overfitted latent class model and assessed for changes in pattern composition over time. Results: Five baseline dietary patterns were identified in 1995. Only 18% of participants remained in the same baseline dietary pattern across all four time points, while all others transitioned to a different baseline-derived pattern. Dietary patterns derived independently at subsequent time points, yielded a different number of dietary patterns at each time point (2001: 6 patterns, 2013: 5 patterns, 2021: 4 patterns). Correlation strength of subsequent derived patterns and baseline patterns significantly weakened in strength after 2001 (40% pairings > 0.5), with no patterns correlated greater than 0.5 in 2021. Conclusion: Prospective studies that rely on baseline dietary exposure data cannot assume stability of pattern composition or individual pattern adherence over time, as it ignores changes in dietary habits and may bias our understanding of the diet-disease pathway.

Importance: Food and non-alcoholic beverage marketing drives children's dietary intake, yet updated evidence quantifying effects by marketing medium and sociodemographic factors is needed to inform policy. Objective: To quantify the effect of food marketing on dietary intake among children and adolescents (0-19 years) and examine variations by age, sex, socioeconomic position (SEP), weight status, marketing medium, and exposure duration. Data Sources: Nineteen electronic databases were searched for articles published from April 2020 to February 2026, complemented by World Health Organization-commissioned reviews covering 1970 to March 2020. Study Selection: Two reviewers independently selected peer-reviewed primary studies that assessed the association between food marketing and dietary intake, following PRISMA guidelines, with no language restrictions. Data Extraction and Synthesis: Two reviewers independently extracted data and assessed the risk of bias. Random-effects meta-analyses were conducted. The certainty of evidence was assessed using GRADE. Main Outcomes and Measures: Dietary intake (energy, quantity, or number of items consumed). Results: A total of 55 studies (N = 6,877; range 2-18 years) were included. Food marketing was associated with higher dietary intake (mean difference [MD], 34.8 kcal; 95% CI, 20.2-49.4) compared with no or less marketing. Unhealthy marketing via television (20 studies; MD, 44.5 kcal; 95% CI, 11.2-77.8), digital media (11 studies; MD, 37.5 kcal; 95% CI, 20.1-54.9), and packaging (11 studies; MD, 20.5 kcal; 95% CI, 0.7-40.3) all increased intake; the difference across media was significant (p < .001). Higher intake was observed in males (3 studies; MD, 51.9 kcal; 95% CI, 45.4-58.3) but not in females (MD, -6.8 kcal; 95% CI, -60.3-46.6); difference was not significant (p = .082). Differences by weight status (p = .012) were seen (5 studies; normal weight: MD, 55.6 kcal; 95% CI, -51.3-162.5; overweight/obese: 146.9 kcal; 95% CI, 34.1-259.7). Effects varied by age (p = .003) and by digital media exposure duration (p = .044). One study examined ethnicity; none studied SEP. Conclusions and Relevance: Food marketing is associated with increased dietary intake, with low certainty of evidence. Variations were observed across age, sex, weight status, and marketing medium. Further research is needed for adolescents and the role of SEP.

BackgroundDespite the advancements in infant nutrition, a gap still exists in the nutritional composition bioactive ingredients between infant formula and human milk. We developed a next-generation, proof-of-concept infant formula that contains recombinant human milk proteins. ObjectiveTo determine the impact of a novel infant formula (H1) on organ growth and development, and intestinal function compared to donor human milk (DHM) and standard infant formula (S) in a term piglet model. MethodsTerm piglets delivered via cesarean section were fed either a donor human milk (DHM) control, the investigational formula (H1), or infant formula (S) for 10 days. On d 10, a blood sample and tissues were collected. ResultsThere was no difference (P > 0.05) in piglet growth, although H1 piglets had a smaller relative stomach and liver than DHM and S piglets. H1 piglets had higher (P < 0.05) interleukins in the distal ileum, but no other systemic cytokines were elevated compared to the DHM and S piglets. H1 piglet small intestinal histology was similar (P > 0.05) to that of DHM and S piglets. Additionally, H1 piglets had either the same (P > 0.05) or higher (P < 0.05) amino acids in circulation compared to DHM and S piglets. Recombinant human proteins had either similar (P > 0.05) or lower (P < 0.05) activity compared to the native human proteins when assessing the individual ingredients in the H1 formula. ConclusionH1 formula was noninferior to DHM and S based on growth, small intestinal histology and plasma amino acid endpoints when fed to neonatal piglets. These findings warrant further studies to use the neonatal piglet as a model to evaluate more in-depth outcomes of health and safety for new infant formulas. Lay SummaryA novel piglet study shows a hypoallergenic, next-generation infant formula containing recombinant human milk proteins rivals donor human milk and standard formula for growth, gut health, and nutrient status.

Introduction: Cash transfer programs could reduce diabetes risk by decreasing chronic stress and increasing food security, physical activity, and preventive care, but there is an evidence gap on the relationship between cash transfer access and diabetes and prediabetes incidence. Methods: We used data from the Health and Ageing in Africa: Longitudinal Studies in South Africa (HAALSA) Indepth cohort of Black South Africans ages 40+ (N=5059). We fit log binomial models to estimate the relationship between household cash transfer eligibility (HCT) and cumulative incidence of diabetes and prediabetes between 2014/15 and 2021/22. We performed quantile regression to estimate change in continuous glucose values across the glucose distribution with additional HCT. Results: No association was observed between HCT and diabetes risk. Each additional unit of HCT was associated with reduced prediabetes risk [aCIR (95% CI): 0.94 (0.90, 0.98); p=0.007]. The largest reduction in glucose values associated with additional HCT was at the highest end of the glucose distribution. Discussion: Our observations suggest household cash transfer access reduces risk of prediabetes but not diabetes. However, household cash transfer access was associated with the largest decrease in glucose for the most severely glucose-impaired, implying the potential for HCT to reduce risk of hyperglycemic complications.

Introduction: Nutritional challenges are a global public health concern, especially among children under five in sub-Saharan African countries. The coexistence of an overweight/obese mother and an underweight child in the same household is recognized as a dual burden of malnutrition (DBM). Our study aimed to examine the prevalence and associated factors of DBM among mother-child dyads in Mozambique. Methods: We used nationally representative, cross-sectional data from the Mozambique Demographic and Health Survey 2022-2023 (n=3,605 mother-child dyads). The children's undernutrition condition and maternal BMI status were calculated using the WHO standard reference guidelines. The outcome variable, dual burden of malnutrition, was then created if the children had any undernutrition condition (stunting, wasting, or undernutrition) and the corresponding mother was overweight/obese. Multivariable binary logistic regression, Erreygers's concentration index, and concentration curve were analyzed to determine associated factors and social inequalities. Results: The prevalence of the dual burden of malnutrition was about 5.51%. Mothers aged [&ge;]34 years [aOR (95% CI): 4.01(1.44, 11.14); p<0.05] and mothers with four or more children [aOR (95% CI): 2.68(1.29, 5.57); p<0.05] had higher odds of DBM. Rural residence and using unimproved toilet facilities (latter an indicator) were also significantly associated with experiencing DBM. Additionally, maternal age modified the association between women's empowerment and mother-child DBM. Women aged 15-19 years at the lowest and highest empowerment levels were more likely to experience DBM compared to women 20 years or older. A positive and statistically significant concentration index indicates that wealth-related inequalities exist, with DBM more concentrated among wealthier mother-child dyads. Conclusion: Our study highlights the persistence of household-level DBM in Mozambique. These findings emphasize the need for targeted interventions addressing social and economic inequalities, including poor sanitation marker of broader household deprivation. Prioritizing integrated maternal-child nutrition interventions within national strategies is essential to improving equity in nutrition and health outcomes.

The analysis uses a global 2010-2023 panel comprising 3,038 economy-years across 217 economies. It explicitly separates between-economy and within-economy estimands and tests the longitudinal interpretation using an identical-sample temporal analysis with cluster-aware coefficient contrasts, a formal isometric log-ratio sensitivity analysis, independent fixed-effects replication, and wild-cluster-bootstrap inference. The central finding is deliberately calibrated: cross-economy agreement cannot validate national sugar availability for longitudinal obesity surveillance. The study identifies temporal and construct instability without claiming that sugar is protective or that the mechanisms producing the instability have been identified. The manuscript aligns well with PLOS ONEs emphasis on technically sound, transparent and reproducible research of broad relevance. All data required to reproduce the findings, complete metadata, executable code, full-precision results, diagnostic outputs and a completed STROBE checklist are provided as S1-S5. Figures are provided separately as compliant 350-dpi TIFF files. The study used only publicly available, aggregated economy-year statistics and involved no individual participants, identifiable information or biological specimens; institutional ethics review and consent were therefore not required. This is original work; it is not under consideration elsewhere, and the sole author has approved the submission and accepts responsibility for its content. Funding and competing-interest declarations will be entered accurately in the submission portal. An Academic Editor with expertise in nutritional epidemiology, global health metrics, longitudinal panel methods, or food-system surveillance would be well placed to assess the work.

Purpose: Iron deficiency impairs sports performance, and female athletes are particularly vulnerable. High-dose iron supplements, commonly used to prevent iron depletion and performance impairments, may cause gastrointestinal side effects and disrupt the gut microbiota. Whether lower doses can improve iron status without adverse effects remains unclear. The aim of this study was to characterize iron intake and iron status in female soccer players during the competitive season and investigate effects of low-dose iron supplementation on iron status, safety-related outcomes and gut microbiota. Methods: In a two-arm parallel randomized controlled trial, female soccer players (median age 21) were randomized to an intervention group (n=12) receiving 3-month low-dose iron supplementation (27 mg elemental iron/day) or a control group (n=11) without supplementation. Blood/fecal samples were collected at baseline and 3-month follow-up. Dietary intake was estimated using 7-day food diaries. Between-group differences were analyzed per protocol (n=18) using ANCOVA with baseline adjustment. Results: The players had inadequate baseline iron intake (median 11.2 mg/day) and 43% had serum ferritin indicating iron depletion (<35 g/L). At follow-up, no significant between-group difference was found for serum ferritin, but fewer athletes in the intervention group experienced decreases from baseline to follow-up (P<0.05). Moreover, serum iron was higher in the intervention group (Pgroup=0.05). No between-group differences were observed for gastrointestinal symptoms or liver damage biomarkers. On the contrary, the intervention led to lower IL-6 (Pgroup=0.04) and higher gut microbial -diversity (Pgroup=0.01) compared to controls. Conclusions: The low-dose iron supplementation was well tolerated, attenuated decreases in iron stores, increased gut microbial diversity and attenuated systemic inflammation in female soccer players with suboptimal dietary iron intake. However, potential adverse effects of long-term exposure cannot be excluded.

Recent epidemiological studies suggest poor hydration is a modifiable risk factor for aging-related chronic disease. We tested whether serum sodium was associated with accelerated biological aging. We analyzed data from 363,286 adults (18-80 years) from 20 years of electronic medical records from a large healthcare system, as well as 24,611 adults (18-80 years) from National Health and Nutrition Examination Survey (NHANES) continuous (1999-2018). Seven key biomarkers were used to calculate biological age (BA) using the Klemera and Doubal method. We then reran the calculation using only the four variables with highest correlation with age as a robustness check. In both models, there was a significant linear association between age adjusted serum sodium and advanced biological aging, especially in the young cohorts. In the 7-variable model, in the Leumit dataset, the males in the highest sodium level versus the lowest, had a biological age that was 0.88 (95% CI 0.68-1.08) years accelerated and for females 2.32 (2.14-2.51) years. In NHANES dataset biological age of males at the highest sodium level was 1.92 (0.98-2.87) years accelerated as compared to those in the lowest sodium group. For females, the largest difference was for those 41-50 (1 year, .30-1.79). Increased serum sodium in the normal range is associated with accelerated biological aging in the general population, especially among people aged 18-50. Intervention studies are needed to confirm the link between hydration and biological aging.

Introduction Guatemala is the most populous country in Central America and a setting with unique opportunities for aging research. Approximately 40% of Guatemala's population is Indigenous Maya, who together speak 22 Mayan languages. Currently, there is no population-based aging study in Guatemala and few aging studies in Latin America among Indigenous populations. The Longitudinal Study of Aging in Guatemala (ELEGUA) aims to address these gaps by developing a nationally representative, population-based, longitudinal aging study modeled on the Health and Retirement Study and the Harmonized Cognitive Assessment Protocol, adapted to the cultural and linguistic context of Guatemala. The objective of this protocol is to describe the rationale and design of the ELEGUA pilot survey. Methods and analysis The ELEGUA pilot was a cross-sectional household survey of adults aged 40 years or older in Tecpan, Guatemala. Tecpan was chosen because its diverse population facilitated testing of study procedures in both Spanish and Kaqchikel, a common Mayan language. The survey included up to 600 households sampled using a multistage stratified cluster design. Within each household, one individual aged 40 years or older was selected, with oversampling of adults aged 55 years or older. This respondent completed a comprehensive questionnaire, including detailed cognitive tests, and provided physical measurements and a venous blood sample. Household respondents provided information on household economics and family structure, and an informant reported on the individual respondent's cognitive function. Data were collected using a computer-assisted personal interviewing system. Planned analyses include survey-weighted descriptive statistics and psychometric evaluation of the cognitive assessments. Ethics and dissemination Ethics approval was obtained from the ethics committees of the Institute of Nutrition of Central America and Panama, Maya Health Alliance, and the University of Michigan. Results will be disseminated through publications in peer-reviewed journals and presentations to local, national, and international audiences.

Background: Pro-inflammatory and high-environmental-impact diets both threaten population and planetary health, but whether the two objectives align or conflict across countries is unresolved. We tested whether a supply-based dietary inflammatory index (sDII) is coupled to greenhouse-gas (GHG), land and freshwater footprints, and whether a nutrition-feasible reallocation can lower both simultaneously. Methods: From FAO Food Balance Sheets we built sDII (12 inflammatory-weighted components; construct validity r=0.9999) and five per-capita footprints using three independent life-cycle inventories for 182 national food-supply series. For each country, constrained optimisation reallocated 13 food-group supplies under isoenergetic, protein-preserving and food-group-bound constraints, minimising sDII and GHG jointly (Pareto frontier). Health burden was estimated via pooled relative-risk meta-analysis and 2023 World Bank population data. Results: sDII was only weakly associated with GHG (Spearman rho=0.14), land (rho=0.13) and freshwater (rho=0.28) in 2023. The balanced-Pareto reallocation lowered both sDII and GHG in 182/182 series (100% synergy): population-weighted delta sDII=-0.235, GHG -37.5%, land -49.3%, water -17.2%, i.e. 4.28 Gt CO2e/yr avoided. The associated reduction in metabolic-syndrome burden was directionally consistent but modest (~1.1% of the prevalent pool, ~2.84 million cases). Results were robust to three life-cycle inventories and three feasibility-bound regimes. Conclusions: Anti-inflammatory and low-carbon goals are decoupled rather than conflicting, and an isoenergetic, protein-preserving reallocation reconciles them in every country. Environmental gains are large and robust; health gains are directionally consistent but modest--triangulation, not a causal claim.

Background: Population-based biomonitoring of contemporary-use pesticides remains limited in the United States, particularly in rural agricultural regions, and few studies have repeated measurements within the same individuals over time. Methods: We analyzed 28 urinary pesticide-related biomarkers among 600 adults from the population-based Survey of the Health of Wisconsin with archived urine collected during 2008-2016; 296 participants provided repeat urine and updated exposure information in 2025. Detection frequencies, co-detection, and within-person detection patterns were characterized. Generalized estimating equations were used for stacked, repeated-measures analyses of factors associated with detection of aminomethylphosphonic acid (AMPA), glyphosate, 2,4-dichlorophenoxyacetic acid (2,4-D), and any of these three. Prospective-only analyses evaluated more detailed agricultural and recent exposure measures. Results: Glyphosate, AMPA, and 2,4-D were detected in 7.7%, 6.2%, and 4.3% of retrospective specimens and 5.4%, 3.1%, and 4.1% of prospective specimens, respectively. Co-detection and persistent detection across the 9 to 17-year interval was rare. In repeated-measures models, greater fruit and vegetable intake, older age, and male sex were associated with higher 2,4-D detection. Lower household income was associated with lower AMPA detection, while afternoon/evening collection was associated with higher AMPA detection. In prospective analyses, working on field-crop agricultural land showed the strongest agricultural associations, particularly for 2,4-D and detection of any of the three pesticides. Associations were not seen with self-reported conventional versus organic produce consumption. Conclusions: Urinary pesticide detections were generally infrequent in this Wisconsin population. Diet and direct agricultural activities may be more informative exposure pathways than residing near cropland or private well drinking-water characteristics.

Objective: Malnutrition and micronutrient deficiency are significant public health problems affecting the well-being of both the mother and her offspring. It is important to first quantify their burden in underserved communities and then to tackle this problem. The objective of this study was to assess the nutritional status, micronutrient deficiency profile, and associated determinants among pregnant women attending antenatal care clinics under PMSMA in selected government health facilities across three districts of Jharkhand, India. Design: The study employed a cross-sectional study design to assess the burden of malnutrition and micronutrient deficiency among pregnant women. Setting: The study was conducted in 4 health facilities in 3 districts of Jharkhand. The selected facilities were Rajendra Institute of Medical Sciences (RIMS), Ranchi; District Hospital (Sadar), Ranchi; District Hospital (Sadar), Godda; and Community Health Centre (Gamharia, Saraikela) under RHTC, Department of Community Medicine, Manipal Tata Medical College, Jamshedpur. The study was conducted during the period of September to December, 2022. Participant: Eligible pregnant women attending ANC clinics under PMSMA in the selected health facilities were enrolled until the required sample size of 977 was achieved. Pregnant women who were critically ill or those who presented with some emergency conditions were excluded from the study. Result: Based on BMI assessment, 38.6% of participants were malnourished, with 17.7% being underweight and 20.9% overweight or obese. Anaemia affected 69.3% of women, while clinical features suggestive of iron deficiency were observed among 21.1% of the participants. Vitamin A deficiency, iodine deficiency, and fluoride excess were also identified among a smaller proportion of women. Conclusion: The present study highlights a substantial burden of both malnutrition and micronutrient deficiency among pregnant women in Jharkhand and justifies the need for integrated maternal nutrition strategies during antenatal care.

Urban nature is increasingly recognized as a determinant of healthy aging. However, research has largely focused on the quantity of greenness rather than biodiversity. Evidence supports an association between biodiversity and mental health, but physical aging evidence is very limited. We examined the longitudinal association between residential bird biodiversity and frailty severity using electronic health records. We conducted a retrospective cohort study of 20,388 adults aged 65 years and older receiving primary care in the Mount Sinai Health System in New York City, contributing 123,103 patient-years of follow-up (2011-2023). Residential bird biodiversity was derived from eBird citizen-science data as a modeled, bias-corrected latent Shannon diversity surface at the census-tract level yearly. Frailty severity was measured annually as the deficit count on the 31-item Veterans Affairs Frailty Index (VA-FI). We estimated associations using a negative binomial generalized additive model adjusted for age, sex, race and ethnicity, insurance, tract-level poverty, and non-Hispanic Black proportion, reporting results as the percent change in expected deficit count. We tested effect modification by age group (65-74, 75-84, over 85 years). Each interquartile range increase in residential bird Shannon diversity was associated with a 1.4% lower expected VA-FI deficit count (95% CI -2.1% to -0.8%). The association was strongest among adults aged 65-74 years (-3.0%, 95% CI -3.9% to -2.1%), attenuated among those aged 75-84 years (-0.8%, 95% CI -1.9% to 0.3%), and no longer evident among those aged 85 and older (+1.6%, 95% CI -0.0% to 3.3%). Greater residential bird biodiversity (reflecting both species richness and evenness) was associated with lower frailty severity, with the largest association in early old age. As a bioindicator of underlying environmental quality shaped by modifiable urban design, bird diversity may point to a avenue for supporting healthy aging in dense cities.

Background: The retail food environment is a widely used exposure in behavioural-nutrition and obesity research, on the premise that nearby food retailers shape diet and obesity risk. Over the past quarter-century, grocery stores have declined across rural and small-town America while limited-assortment discount ("dollar") stores have proliferated. Standard food-environment indices classify retailers as healthy or less-healthy but typically exclude dollar stores, now the fastest-growing food-retail format. As a result, a single classification decision may alter how the food environment is measured and the conclusions drawn from it. We develop a dollar-aware index, quantify how counting dollar stores changes the measured exposure, and derive a longitudinal trajectory typology. Methods: Using establishment-level data from Data Axle for all 878 Mississippi census tracts (1997-2024), we classified food retailers into five mutually exclusive categories using a previously validated approach and calculated the modified Retail Food Environment Index (mRFEI) in both its standard and dollar-aware forms, with the latter counting dollar stores as less-healthy outlets. We fitted Nagin-style group-based trajectory models to the tract-level dollar-aware index, related class membership to the Social Vulnerability Index (SVI) and urbanicity with multinomial regression, and characterised spatial clustering (Getis-Ord Gi*, join-counts) and grocery access. Results: Grocery stores fell from 1,616 to 716 while dollar stores rose from 315 to 1,005, intersecting in 2018. Counting dollar stores lowered the index by a margin that widened over time, and a growing number of tracts had only dollar-store retail, undefined under the standard index. Six trajectory classes emerged: stable adequate (5.6% of tracts), steady decline (13.1%), early collapse (11.1%), late collapse (6.7%), persistently constrained (34.1%) and chronic desert (29.3%); only the stable-adequate class (5.2% of children) stayed adequate throughout. Constrained and steady-decline membership rose steeply with vulnerability (RRR 11.7 and 9.9); chronic desert was urban (RRR 5.2, a food-swamp pattern); collapse classes had no cross-sectional social signature. Conclusions: In the US state with the highest adult obesity prevalence, a single retailer-classification decision substantially changes the measured food environment. The dollar-aware index and trajectory typology offer a transferable, time-varying exposure for behavioural-nutrition and obesity research and establish a foundation for future childhood-obesity studies.