Search Results (4,298)

Sustainable food production for a growing population requires farming practices that reduce chemical inputs while maintaining soil as a living, renewable foundation for productivity. This review synthesizes current advances in understanding how endophytic fungi (EFs) interact with the soil microbiome and contribute to the physicochemical and biological dimensions of soil health in arable ecosystems. We examine evidence showing that EFs enhance plant nutrition through phosphate solubilization, siderophore-mediated micronutrient acquisition, and improved nitrogen use efficiency while also modulating plant hormones and stress-responsive pathways. EFs further increase crop resilience to drought, salinity, and heat; suppress pathogens; and influence key soil properties including aggregation, organic matter turnover, and microbial network stability. Recent integration of multi-omics, metabolomics, and community-level analyses has shifted the field from descriptive surveys toward mechanistic insight, revealing how EFs regulate nutrient cycling and remodel rhizosphere communities toward disease-suppressive and nutrient-efficient states. A central contribution of this review is the linkage of EF-mediated plant functions with soil microbiome dynamics and soil structural processes framed within a translational pipeline encompassing strain selection, formulation, delivery, and field scale monitoring. We also highlight current challenges, including context-dependent performance, competition with native microbiota, and formulation and deployment constraints that limit consistent outcomes under field conditions. By bridging microbial ecology with agronomy, this review positions EFs as biocontrol agents, biofertilizers, and ecosystem engineers with strong potential for resilient, low-input, and climate-adaptive cropping systems. Full article

Background: Although several studies have reported associations between screentime and shortened sleep duration among adolescents, contextual relationships between different forms of screentime are not well understood. The purpose of this study was to examine how television (TV) watching (passive media use) and video/computer gaming (interactive media use) are associated with short sleep duration among 8th and 11th grade adolescents. Methods: We used data from adolescents (8th and 11th grade students) who participated in the Texas School Physical Activity and Nutrition (Texas SPAN) survey in 2015–2016. Sleep duration was the outcome variable, which was dichotomized into short sleep duration (less than 8 h) and meeting sleep recommendations (more than 8 h). Independent variables included daily TV screentime and video/computer game screentime. We used weighted logistic regression models to understand associations between sleep duration and both TV screentime and video/computer game screentime. Results: Among both 8th grade boys and Hispanic 8th grade girls, spending more than 2 h/day playing video/computer games was associated with greater odds of shorter sleep duration. Among 11th graders, TV screentime was associated with lower odds of shorter sleep duration. Conclusions: Watching TV and playing video/computer games have differential associations with sleep duration among adolescents, and these associations differ by grade, gender, and ethnicity. Researchers and public health agencies interested in associations between meeting sleep recommendations and screentime in adolescents should consider these contextual differences when designing and conducting studies related to electronic media use and sleep. Full article

Background: Ultra-processed foods (UPFs) have emerged as a critical component of diet quality, yet data on the associations between UPF and nutrient intakes remain limited. This study aimed to evaluate nutrient consumption in relation to UPF intake and adherence to international dietary guidelines for non-communicable disease (NCD) prevention. Methods: Data from 469 individuals aged 2–18 years enrolled in the Hellenic National Nutrition and Health Survey (HNNHS) were analyzed. Intakes were assessed using two 24 h recalls, and foods were classified according to the NOVA system. Participants were categorized by UPF energy intake tertiles. Nutrient adequacy was assessed using Nordic Nutrition Recommendations, European Society of Cardiology guidelines for macronutrients, and the Institute of Medicine’s Estimated Average Requirements and Adequate Intake values for micronutrients. Results: Children in the highest UPF tertile had significantly higher intakes of energy, carbohydrates, added sugars, saturated fats, polyunsaturated fats, and cholesterol, but lower intakes of protein compared to those in the lowest tertile. Fiber intake remained inadequate across all tertiles, with no significant differences. Regarding adherence to NCD prevention guidelines, children in the 3rd UPF tertile had a 2.3 times higher prevalence ratio for exceeding added sugar recommendations, while their protein intake prevalence ratio was 0.8 times lower. For micronutrients, the highest UPF tertile showed significantly elevated intakes of vitamins E, B₁, folate, calcium, iron, copper, and sodium, but lower potassium intake compared to the lowest tertile. Conclusions: Our results underscore the need for effective public health strategies to improve diet quality in children and adolescents and prevent diet-related NCDs. Full article

Background/Objectives: In 2023, the United States Congress amended Section 13 of the National School Lunch Act to allow non-congregate meal service as an option within the Summer Food Service Program in rural areas, creating “SUN Meals To-Go.” The purpose of this qualitative study was to explore caregivers’ perceptions of USDA rural non-congregate summer meal programs in California during the summer of 2024. Methods: This was a cross-sectional, qualitative study using an electronic 20-item survey instrument that was available in English and Spanish. Five school foodservice directors in California shared and/or posted at meal pick-up sites a flyer with a QR code leading caregivers to the survey instrument. A conventional content analysis was conducted with the open-ended responses and descriptive statistics were calculated for close-ended items. Results: Caregivers (n = 827) were primarily married (70.5%) and Hispanic/Latino (54.3%) women (85.5%). They (55%) reported using the 2024 summer meal program “most times” or “every time” it was available. Three themes were constructed through qualitative content analysis: (1) Family support and resource relief, (2) Navigating program accessibility and logistics, and (3) Nourishment and practicality: Reflections on food quality, nutrition, and sustainability. Conclusions: Caregivers highlighted that the program supported their families and provided resource relief. They indicated that accessibility and logistics were effective, provided ideas for fine-tuning the delivery of the program, described this program as supporting their children’s nutrition. Full article

Diabetes develops through a mix of clinical, metabolic, lifestyle, demographic, and environmental factors. Most current classification models focus on traditional biomedical indicators and do not include environmental exposure biomarkers. In this study, we develop and evaluate a supervised machine learning classification framework that integrates heterogeneous demographic, anthropometric, clinical, behavioral, and environmental exposure features to classify physician-diagnosed diabetes using data from the National Health and Nutrition Examination Survey (NHANES). We analyzed NHANES 2017–2018 data for adults aged ≥18 years, addressed missingness using Multiple Imputation by Chained Equations, and corrected class imbalance via the Synthetic Minority Oversampling Technique. Model performance was evaluated using stratified ten-fold cross-validation across eight supervised classifiers: logistic regression, random forest, XGBoost, support vector machine, multilayer perceptron neural network (artificial neural network), k-nearest neighbors, naïve Bayes, and classification tree. Random Forest and XGBoost performed best on the balanced dataset, with ROC AUC values of 0.891 and 0.885, respectively, after imputation and oversampling. Feature importance analysis indicated that age, household income, and waist circumference contributed most strongly to diabetes classification. To assess out-of-sample generalization, we conducted an independent 80/20 hold-out evaluation. XGBoost achieved the highest overall accuracy and F1-score, whereas random forest attained the greatest sensitivity, demonstrating stable performance beyond cross-validation. These results indicate that incorporating environmental exposure biomarkers alongside clinical and metabolic features yields improved classification performance for physician-diagnosed diabetes. The findings support the inclusion of chemical exposure variables in population-level diabetes classification and underscore the value of integrating heterogeneous feature sets in machine learning-based risk stratification. Full article

Background/Objectives: The growing integration of Artificial Intelligence (AI) and chatbots in health professional education offers innovative methods to enhance learning and clinical preparedness. This study aimed to evaluate the educational impact and perceptions in university students of Human Nutrition and Dietetics, regarding the utility, usability, and design of the E+DIEting_Lab chatbot platform when implemented in clinical nutrition training. Methods: The platform was piloted from December 2023 to April 2025 involving 475 students from multiple European universities. While all 475 students completed the initial survey, 305 finished the follow-up evaluation, representing a 36% attrition rate. Participants completed surveys before and after interacting with the chatbots, assessing prior experience, knowledge, skills, and attitudes. Data were analyzed using descriptive statistics and independent samples t-tests to compare pre- and post-intervention perceptions. Results: A total of 475 university students completed the initial survey and 305 the final evaluation. Most university students were females (75.4%), with representation from six languages and diverse institutions. Students reported clear perceived learning gains: 79.7% reported updated practical skills in clinical dietetics and communication were improved, 90% felt that new digital tools improved classroom practice, and 73.9% reported enhanced interpersonal skills. Self-rated competence in using chatbots as learning tools increased significantly, with mean knowledge scores rising from 2.32 to 2.66 and skills from 2.39 to 2.79 on a 0–5 Likert scale (p < 0.001 for both). Perceived effectiveness and usefulness of chatbots as self-learning tools remained positive but showed a small decline after use (effectiveness from 3.63 to 3.42; usefulness from 3.63 to 3.45), suggesting that hands-on experience refined, but did not diminish, students’ overall favorable views of the platform. Conclusions: The implementation and pilot evaluation of the E+DIEting_Lab self-learning virtual patient chatbot platform demonstrate that structured digital simulation tools can significantly improve perceived clinical nutrition competences. These findings support chatbot adoption in dietetics curricula and inform future digital education innovations. Full article

Background: Depression and Metabolic Dysfunction-Associated Steatotic Fatty Liver Disease (MASLD) are common chronic diseases, respectively. However, the causal and molecular links between them remain unclear. In order to explore whether depression contributes to an increased risk of MASLD and whether inflammation mediates this effect, we integrated multi-level evidence from the epidemiology of the National Health and Nutrition Examination Survey (NHANES), the genetics of GWAS, the transcriptomes of GEO, and single-cell RNA sequencing datasets. Methods: A multi-level integrative analysis strategy was used to validate this pathway. First, a cross-sectional epidemiological analysis based on NHANES data was used to reveal the association between depression and MASLD, and to explore the mediating role of inflammation and liver injury markers. Secondly, a two-sample Mendelian randomization analysis was used to infer the causal direction of depression and MASLD, and to verify the mediating effect of systemic inflammation and liver injury indicators at the genetic level. Then, the transcriptome co-expression network analysis and machine learning were used to screen the common hub genes connecting the two diseases. Finally, single-cell transcriptome data were used to characterize the dynamic expression of potential key genes during disease progression at cellular resolution. Results: Depression significantly increased the risk of MASLD, especially in women (OR = 1.39, 95%CI [1.17–1.65]). Parallel mediation analysis showed that high-sensitivity C-reactive protein (hs-CRP) (p < 0.001), γ-glutamyltransferase (GGT) (p < 0.001), and alkaline phosphatase (ALP) (p < 0.001) mediated this relationship. Mendelian randomization analysis confirmed the unidirectional causal effect of depression on MASLD, and there was no reverse association (β = 0.483, SE = 0.146, p = 0.001). Weighted gene co-expression network analysis and machine learning identified CD40LG as a potential molecular bridge between depression-associated immune modules and MASLD. In addition, single-cell data analysis revealed a stage-specific trend of CD40LG expression in CD4⁺ T cells during MASLD progression, while its receptor CD40 was also activated in B cells. In the female sample, CD40LG maintained an upward trend. However, the stability of this result is limited by the limited sample size. Conclusions: This study provides converging multi-omics evidence that depression plays a causal role in MASLD through inflammation-mediated immune signaling. The CD40LG-CD40 axis has emerged as an immune mechanism that transposes depression into the pathogenesis of MASLD, providing a potential target for the intervention of gender-specific metabolic liver disease. Full article

Background: Tribulus terrestris (Tt) is a popular herbal supplement marketed to enhance fitness performance, despite inconclusive evidence regarding its efficacy and safety. This study aimed to investigate the prevalence of TT use, awareness, and motivations for its use among recreational athletes in Italy, helping to address the lack of empirical data describing who actually uses Tt, for what purposes, and with what behavioral risks. Methods: A cross-sectional anonymous survey was administered between May and October 2024 across Italian gyms and fitness clubs using Microsoft Forms. A total of 696 individuals initiated the questionnaire; after removal of duplicate, incomplete and ineligible entries, 510 responses were analyzed. Two indicators of Tt consumption were assessed: ever use and current use, with the latter designated as the primary outcome. A multivariable logistic regression evaluated predictors of current Tt use, entering sex, age category (18–24, 25–34, 35–44, ≥45 years), and motivation for supplement consumption. Results: Current Tt use was reported by 7.8% of respondents, while 10.5% declared ever using a Tt-containing product. Motivation was the only independent predictor of Tt consumption (p = 0.012). Individuals reporting performance enhancement as their primary motivation were markedly more likely to currently use Tt, compared with those using supplements for other purposes (adjusted OR ≈ 18.5; p = 0.008). Neither sex (p = 0.918) nor age category (p = 0.519) significantly predicted Tt use. Admission of anabolic steroid use was infrequent but was linked to online purchasing from potentially unregulated sources. Conclusions: Tt consumption in fitness settings is driven predominantly by performance-oriented expectations rather than demographic characteristics. The observed discrepancy between consumer beliefs and scientific evidence suggests a pressing need for educational interventions and regulatory vigilance in sports nutrition. Public health policies should focus on improving label literacy, strengthening consumer protection, and countering misinformation within supplement marketing environments. Full article

Background: Adolescence is a formative period for lifelong dietary patterns, yet Korean adolescents show low fruit and vegetable intake, high sugar and sodium consumption, and rising obesity, highlighting the importance of multidimensional assessment that integrates behavioral, cultural, environmental, and competency-related factors. Methods: A total of 1010 adolescents aged 12–18 years completed an online cross-sectional survey assessing food intake, dietary and physical activity behaviors, dietary culture, and Food Literacy (FL) competencies. Standardized scores were used for hierarchical and K-means clustering to identify dietary practice patterns, and between-cluster differences were examined using ANOVA. Correlation and regression analyses were conducted to examine associations between Dietary Guideline Adherence (DGA) and FL. Results: Four clusters were identified—selective intake–low support (20.4%), regular habits–unbalanced intake (33.3%), high adherence (23.2%), and low adherence (23.1%)—with significant differences in DGA total and domain scores (p < 0.001). The high-adherence cluster showed balanced intake, regular routines, and strong household support, whereas the low-adherence cluster showed poor diet quality, irregular behaviors, and lower socioeconomic status. FL differed across clusters (p < 0.001) and correlated with DGA (r = 0.496, p < 0.01). Total FL predicted DGA (β = 0.496, p < 0.001), explaining 25% of its variance (R² = 0.246). Conclusions: Adolescent diet quality appears to be associated with behavioral, cultural, and competency-related factors. These findings suggest that cluster-specific strategies—such as fat–sugar–sodium reduction, promotion of low-sodium and diverse diets, and maintenance of balanced-dietary patterns—may support tailored school- and community-based nutrition programs and inform further longitudinal and intervention research. Full article

Objective: This study aims to investigate the dietary assessment and trends of preschoolers aged 3 to 5 years in Korea from 2012 to 2021 and to provide basic data for early childhood dietary education and policy development. Methods: Data from the Korea National Health and Nutrition Examination Survey (KNHANES) from 2012 to 2021 were analyzed for 2510 children in the 3–5 age group. Dietary intake was assessed using a 24 h recall. Intakes of food groups, dishes, and nutrients were calculated, and trends across years were tested using generalized linear models adjusted for gender, age, household income, energy intake, mother’s age, and mother’s education. Results: Over the tenyear period, intakes of carbohydrates, phosphorus, iron, sodium, potassium, carotene, thiamine, niacin, and vitamin C, as well as the carbohydrate energy ratio, showed significant declines. Meanwhile, protein, fat, retinol, and riboflavin increased, as did the protein and fat energy ratios. Fruit intake decreased by approximately 42 g among food group intakes. Analysis of foods contributing to total food intake revealed that milk, white rice, apples, and eggs consistently accounted for a high proportion of total intake in all survey years. Average calcium intake was approximately 100 mg below the estimated average requirement. Conclusions: The results of this study showed that preschoolers exhibit insufficient intake of certain nutrients, such as calcium, and a decrease in fruit intake. Interventions are needed to establish regular meal patterns, promote plant food intake such as fruit, and improve calcium intake. These results provide valuable evidence for designing dietary education programs and dietary guidelines tailored to early childhood. Full article

The integration of Artificial Intelligence (AI) in higher education offers a potential solution to the scalability of personalized learning, yet empirical frameworks connecting diagnostic data with teacher-mediated interventions remain limited in developing contexts. This study adopts a sequential multi-phase research design to address this gap. Phase 1 comprised a diagnostic quantitative analysis of the National Survey on Access and Permanence in Education (ENAPE 2021), involving a representative sample of 3422 Mexican undergraduate students. Using Exploratory Factor Analysis (KMO = 0.96) and Pearson correlations, the study established a structural baseline. Phase 2 implemented a quasi-experimental exploratory pilot (N = 23) across two academic clusters (Civil Engineering and Nutrition) using “ActivAI”, a custom GPT configured with Retrieval-Augmented Generation (RAG). Results from Phase 1 revealed a strong, statistically significant correlation ($r=0.72$, $p<0.01$) between the perceived impact of education on daily life and the perception of equity, identifying “relevance” as a key driver of accessibility. Phase 2 results demonstrated high student satisfaction with AI-driven personalization (M = 4.49, SD = 0.64), although disciplinary variations in engagement were observed (SD = 0.85 in Nutrition versus 0.45 in Engineering). The study concludes by proposing the Dynamic Integration Model, which leverages AI not as a replacement for instruction but as a scalability toolkit for teacher-led orchestration, ensuring that personalization addresses dynamic student needs rather than static learning styles. Full article

Access to ecologically grown, nutritious food remains limited in low-income U.S. communities due to cost, structural inequities, and the dominance of industrial food systems. Stone Barns Center’s Leading an Ecological and Accessible Food System (LEAF) program—developed through a community-based participatory partnership in the South Bronx—aims to address these challenges through biweekly distributions of regeneratively grown produce, seasonal gardening kits, and culturally responsive nutrition education. This study presents findings from the first two years (2023 and 2024) of a multi-timepoint repeated cross-sectional evaluation using six household-level surveys (n = 79–80 families per round). The surveys captured changes in fruit and vegetable consumption, gardening comfort, emotional well-being, participation in SNAP and WIC programs, food purchasing behaviors, and unmet needs. Statistically significant (p < 0.05) improvements were observed across key outcomes: mean fruit and vegetable intake increased from 3.8 to 4.5 (1–5 scale), comfort with growing food increased from 3.1 to 4.6, emotional response to gardening from 4.1 to 4.6. SNAP participation increased from 15% (12 of 79 households) to 33% (26 of 79 households), and purchasing shifted toward local access points. Notably, 99% (79 of 80 households) of Year 1 families returned for Year 2, reflecting strong engagement and trust. These results highlight the potential of integrated, community-partnered, and climate-aligned interventions to advance health equity, ecological literacy, and food justice. The LEAF program offers a replicable model that may support pathways towards more sustainable and community-aligned food systems in other under-resourced settings. Full article

Background/Objectives: Despite large-scale measles and rubella (MR) vaccination campaigns in West Africa, measles outbreaks persist, raising concerns about campaign effectiveness, coverage, and underlying determinants. This study assesses the impact of MR follow-up campaigns in 12 of 17 West African countries (2024–2025) and examines the factors contributing to post-campaign outbreaks. The main objective of this study is to evaluate the impact of MR campaigns on measles transmission, identify the characteristics of post-campaign outbreaks, and propose strategies to improve campaign effectiveness and accelerate progress toward measles elimination in West Africa. Methods: We conducted a cross-sectional and ecological analytical study to examine spatial and temporal variations based on measles surveillance data from 2024 to 2025, post-campaign coverage surveys (PCCS), district-level outbreak reports, and administrative coverage reports. Trends in measles cases before and after the MMR campaigns were assessed, along with demographic characteristics and spatial analyses of confirmed cases. Results: In 2024, 70.5% (12/17) of countries conducted measles vaccination campaigns, but measles outbreaks increased in 2025 (64 districts in 2024 versus 383 in 2025). Children under five remained the most affected (54%), with 85% of cases being either unvaccinated (57%) or of unknown status (28%). Administrative coverage exceeded 95% in most countries, but measles PCCS revealed gaps, with only Senegal (93%) and Guinea-Bissau (94%) achieving high verified coverage. No country achieved 95% national MPCC. Conclusions: Suboptimal campaign quality, gaps in immunity beyond target age groups, and unreliable administrative data contributed to the persistence of outbreaks. Recommendations include extending Measles vaccination campaigns to older children (5–14 years), improving preparedness by drawing on experiences from other programs such as polio, standardizing PCCS data survey and analysis methodologies across all countries, and integrating Measles vaccination campaigns with other services such as nutrition. Full article

The circadian cycle regulates metabolism in response to external stimuli, such as light exposure, sleep schedules, and eating patterns. However, misalignment between internal biological rhythms and social demands can compromise food choices, potentially leading to overweight and obesity. This research aimed to assess how a person’s chronotype links to social jet lag (SJL), which in turn would relate to their nutritional status and food consumption patterns as a university student. 617 students from a State University located in the State of Paraná, Brazil, completed a cross-sectional research study that collected sociodemographic information/anthropometrics by means of an online survey. It included self-reported height/weight data and dietary habits. The Munich Chronotype Questionnaire (MCTQ) was utilized to determine each participant’s chronotype classification and SJL calculation. Researchers found that nearly half of the students (49.3%) displayed an Intermediate Chronotype, which is associated with a diet that contained elements of the “Mixed” Diet, meaning there are equal portions of healthy food (Fresh Fruits, Beans, etc.) and unhealthy foods (Sweetened Beverages). The multivariate logistic regression analyses identified age as a significant predictor of obesity risk (OR: 1.15, p < 0.001), while dietary habits such as fruit consumption played a protective role. Additionally, having a breakfast protected them from being classified as obese compared to those who did not eat breakfast (OR = 0.59). Contrary to expectations, late-night supper was not a statistically significant predictor in the adjusted model. Predictors of an Intermediate chronotype included being male and eating morning snacks regularly. The results of this study suggest that students with an intermediate chronotype will predictably have skewed eating patterns, such as skipping breakfast and eating late—both of which affect obesity risks. Nutritional strategies for university students should focus on promoting circadian regularity and optimizing meal timing. Full article

This study aimed to test the factorial structure of the Eating Motivation Survey (TEMS) using Confirmatory Factor Analysis (CFA) in a sample of 632 university students from the Western Brazilian Amazon. A cross-sectional study was conducted between December 2022 and April 2023 with participants of both sexes, aged 18 or older. In addition to CFA, psychometric analyses were performed, and a Structural Equation Model was developed to examine the relationships between individual characteristics (age, sex, and Body Mass Index (BMI)) and the TEMS constructs. The results showed that 58.3% of participants were female, with a mean age of 25.29 years. The CFA supported an eight-factor model (health, natural concerns, socialization, price, visual appeal, weight control, emotional control, and social image) with 24 items, presenting good validity and reliability indices. Older individuals and those with lower BMIs prioritized health, natural concerns, and weight control, while younger participants, women, and those with higher BMIs were more influenced by emotional control. The findings contribute to understanding eating motivations in culturally diverse contexts and may support strategies aimed at promoting healthier dietary behaviors and preventing diet-related chronic diseases. Full article