Search Results (924)

Background/Objectives: Every country and territory worldwide is affected by varying degrees of under- and overconsumption of food. A substantial share of the economic burden of unsustainable malnutrition arises from diet-related health impacts, although existing research has largely focused on environmental consequences. Methods: This study addresses this gap by combining cost-of-illness (COI) and True Cost Accounting (TCA) approaches, as well as Global Burden of Disease (GBD) data, to estimate external diet-induced health costs. A comprehensive database covering 204 countries and territories is established, quantifying health costs by disease category and dietary risk factor. Results: The results indicate that USD 1719.94 billion in annual global health costs are attributable to poor diets. This corresponds to an average burden of USD 211.08 per capita per year. Cardiovascular diseases (CVDs) constitute the largest share of costs, followed by diabetes mellitus (DM). In absolute and per capita terms, the United States contributes disproportionately. Regionally, North America bears 44.36% of the global monetary burden, while Oceania accounts for only 1.22%. The highest per-capita costs occur in North America, Europe, and Oceania. The most influential dietary risk factors are the overconsumption of processed and red meat, and the underconsumption of whole grains. A strong positive correlation is observed between diet-related health costs and national prosperity levels. Conclusions: This framework represents a novel approach to standardized and holistic valuation, providing a robust basis for deriving policy-relevant insights to inform sustainable nutrition strategies and advance the United Nations (UN) Sustainable Development Goals (SDGs), especially the second SDG, zero hunger. Full article

Background: Food insecurity may adversely affect cognitive function through pathways involving nutritional deficiencies, chronic stress, and comorbid health conditions, with potentially different effects across cognitive domains. Longitudinal evidence remains limited by time-varying confounding, and it is unclear whether Supplemental Food Assistance Program (SNAP) participation modifies these associations. Objectives: To examine the longitudinal association between food insecurity and cognitive function using marginal structural models (MSMs), and whether SNAP participation buffers these associations for overall cognition, episodic memory, and attention/mental processing. Methods: 30,641 adults aged ≥50 in the 1998–2020 Health and Retirement Study (HRS) contributed 156,066 person-year observations. MSMs with stabilized inverse probability of treatment weights were used to account for time-varying socioeconomic, health, and cognitive confounding affected by prior exposure. Weighted pooled linear regression models estimated marginal associations and interaction effects. Results: Moderate and high food insecurity were associated with lower overall cognition (b = −0.36 and −0.71, respectively; p < 0.001). Similar graded associations were observed for episodic memory (b = −0.22; −0.43) and attention/mental processing (b = −0.15; −0.28; all p < 0.001). SNAP participation significantly attenuated these associations across cognitive domains, with stronger buffering effects among non-Hispanic Black and Hispanic respondents. Effect sizes corresponded to differences equivalent to several years of cognitive aging. Conclusions: Food insecurity is associated with poorer cognitive function across multiple domains, while SNAP participation mitigates these associations. Despite limitations of observational data, these findings highlight the methodological value of MSMs and the potential role of food assistance programs in reducing cognitive health disparities in later life. Full article

To overcome the low accuracy of conventional methods for estimating liquid volume and food nutrient content in bowl-type tableware, as well as the tool dependence and time-consuming nature of manual measurements, this study proposes an integrated approach that combines geometric reconstruction with deep learning–based segmentation. After a one-time camera calibration, only a frontal and a top-down image of a bowl are required. The pipeline automatically extracts key geometric information, including rim diameter, base diameter, bowl height, and the inner-wall profile, to complete geometric modeling and capacity computation. The estimated parameters are stored in a reusable bowl database, enabling repeated predictions of liquid volume and food nutrient content at different fill heights. We further propose Bowl Thick Net to predict bowl wall thickness with millimeter-level accuracy. In addition, we developed a Geometry-aware Feature Pyramid Network (GFPN) module and integrated it into an improved Mask R-CNN (Region-based Convolutional Neural Network) framework to enable precise segmentation of bowl contours. By integrating the contour mask with the predicted bowl wall thickness, precise geometric parameters for capacity estimation can be obtained. Liquid volume is then predicted using the geometric relationship of the liquid or food surface, while food nutrient content is estimated by coupling predicted food weight with a nutritional composition database. Experiments demonstrate an arithmetic mean error of −3.03% for bowl capacity estimation, a mean liquid-volume prediction error of 9.24%, and a mean nutrient-content (by weight) prediction error of 11.49% across eight food categories. Full article

Background/Objectives: Child undernutrition remains a major public health in Djibouti, yet conventional anthropometric indicators may underestimate its true burden by failing to capture overlapping forms of malnutrition. The Composite Index of Anthropometric Failure (CIAF) provides a more comprehensive assessment by identifying children experiencing one or multiple anthropometric deficits. This study aimed to estimate the prevalence and determinants of undernutrition among children under five years of age in Djibouti using the CIAF. Methods: This study is a secondary analysis of data from the nationally representative 2023 Multisectoral Survey conducted in Djibouti. A cross-sectional design with a two-stage stratified cluster sampling method was used to collect data on a national random sample (n = 2103) of children aged 6–59 months. Standardized anthropometric measurements were used to derive conventional indicators (stunting, wasting, and underweight) and the CIAF. Binary logistic regression analyses were performed to identify factors associated with anthropometric failures, adjusting for child, household, and contextual characteristics. Results: Based on conventional indicators, 23.4% of children were stunted, 20.0% were underweight, and 9.9% were wasted. Using the CIAF, 36.9% of children experienced at least one anthropometric failure, including 18.8% with multiple concurrent failures. Boys, children aged 6–47 months, those living in nomadic households, and those residing in specific regions had significantly higher risks of undernutrition. Socioeconomic indicators and household food security were not independently associated with undernutrition after adjustment. Conclusions: More than one-third of children under five in Djibouti experience undernutrition when assessed using the CIAF, revealing a substantial hidden burden not captured by conventional indicators alone. Incorporating the CIAF into routine nutrition surveillance could improve identification of vulnerable children and support more targeted, context-specific interventions. Full article

Background/Objective: Nutrition security, defined as consistent access to and consumption of nutritious foods that support health, remains a persistent challenge in rural populations. The HEALTHY (Helping Early Adolescents Live Their Healthiest Youth) program aimed to improve rural adolescents’ nutrition security through school-based strategies. This study evaluated its effectiveness by examining changes in fruit consumption, fruit waste, and skin carotenoid levels. Methods: A quasi-experimental, pre–post program was assessed in five rural middle schools (two experimental sites, three comparison sites). The programming paired four biweekly smoothie taste tests with nutrition education grounded in Social Cognitive Theory and Choice Architecture. Students in grades 3–8 (N = 149) participated. Digital tray photographs quantified selection and waste. The Veggie Meter^® assessed skin carotenoids on a scale from 0 to 800. Surveys captured perceptions and self-reported intakes. Analyses included χ², McNemar’s, GLMM, paired t-tests, and ANCOVA. Significance was set at p < 0.005. Results: At post-program, 98.3% of experimental trays contained the standard fruit option and/or a smoothie, compared with 41.0% of comparison trays (χ² = 41.66, p < 0.001). Fruit selection odds were 16.22 times higher in experimental schools (95% CI: 6.30–41.77, p < 0.001). Among trays with both (n = 39), smoothie waste was lower than the standard fruit option waste (t(38) = −7.10, p < 0.001, d = 1.14), resulting in greater estimated consumption (~0.43 vs. ~0.15 cups). Skin carotenoids increased in both groups, with greater improvement among experimental students in the lowest baseline quartile, F (1,19) = 9.20, p = 0.007, partial η² = 0.326. Conclusions: The HEALTHY program, which paired frozen-fruit smoothies with nutrition education, may offer a feasible and scalable approach to improving nutrition security among rural adolescents. Full article

Parental perceptions of healthy eating often diverge from children’s actual diets, but this gap is poorly documented in Central Asia. We examined how parents’ priorities for key food groups relate to nutrient intakes in 390 urban children aged 1–6 years in Central Kazakhstan. In a cross-sectional study, parents completed a 24 h multiple-pass dietary recall and rated the importance of fats and sweets, meat and fish, dairy, vegetables and fruits, and bread and potatoes on 5-point scales. Nutrient intakes were calculated using software, compared with national DRIs, and analyzed using rank-based tests and Spearman correlations. Parents reported near-ceiling priority for restricting fats and sweets and consistently high priority for bread and potatoes, whereas vegetables, fruits, meat/fish, and dairy were rated moderately important, with dairy under-prioritized in 1–2-year-olds. On the recalled day, median intakes of fat, dietary fiber, vitamin C, and calcium were below national recommendations at all ages, and median intakes of iron, thiamine, and niacin were particularly low at 3–4 years, while sodium intake exceeded recommended levels; the 3–4-year group showed the most pronounced clustering of shortfalls. Prevalence estimates indicated that most children had intakes below recommendations for dietary fiber and calcium and above recommendations for sodium, underscoring population-wide nutritional imbalance. Across all scales, parental priorities showed only weak, non-significant associations with nutrient intakes (|r| < 0.11). These findings indicate a perception–intake gap and support interventions that ensure adequate fats, fiber, vitamin C, calcium, and bioavailable iron in preschool diets. 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

This study aimed to develop a non-invasive blood glucose estimation method by integrating wearable multimodal signals, including photoplethysmography (PPG), electrodermal activity (EDA), and skin temperature (ST), with food log–derived nutritional features, and to validate its clinical reliability. We analyzed data from 16 adults who underwent continuous glucose monitoring (CGM) while multimodal physiological signals were collected over 8–10 consecutive days, yielding more over 20,000 paired samples. Features from food logs and physiological signals were extracted, followed by feature selection using Boruta and minimum Redundancy Maximum Relevance (mRMR). Five machine learning models were trained and evaluated using five-fold cross-validation. Food log features alone demonstrated stronger predictive power than unimodal physiological signals. The fusion of nutritional, physiological, and temporal features achieved the best accuracy using LightGBM, reducing the RMSE to 12.9 mg/dL, with a MARD of 7.9%, a MAE of 8.82 mg/dL, and R² of 0.69. SHapley Additive exPlanations (SHAP) analysis revealed that 24-h carbohydrate and sugar intake, time since last meal, and short-term EDA features were the most influential predictors. By integrating multimodal wearable and dietary information, the proposed framework significantly enhances non-invasive glucose estimation. The interpretable LightGBM model demonstrates promising clinical utility for continuous monitoring and early dysglycemia management. 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

Background/Objectives: Inclusive nutrition services and data on children with disabilities living in low- and middle-income countries remain limited. We estimated the prevalence of undernutrition and described feeding practices and difficulties among children with disabilities ages birth to 10 years at a rehabilitation hospital in Uganda and identified barriers and opportunities for inclusive nutrition. Methods: This cross-sectional study enrolled 428 children. Data included demographics, weight, height, mid–upper arm circumference (MUAC), hemoglobin levels, risk for feeding difficulties, caregiver-reported feeding practices, and functional difficulties complemented by 32 caregiver and stakeholder interviews. Undernutrition was defined using WHO z-scores, MUAC, and anemia cutoffs. Associations were examined using Pearson’s chi-squared tests and adjusted odds ratios from logistic regression. Results: Over half of participants were boys (56.1%) and 65.9% were <24 months old. Common conditions included cleft lip/palate (55.4%) and cerebral palsy (38.6%). Undernutrition was prevalent: 45.2% were underweight, 38.3% stunted, 16.1% wasted (by MUAC), and 39.5% anemic. Being at risk for feeding difficulties (67.2% of children) increased the odds of underweight [AOR = 2.28 (1.23–4.24)], stunting [2.46 (1.26–4.79)], and wasting [2.43 (1.10–5.35)] after adjusting for covariates. Bottle-feeding increased the odds of stunting [3.09 (1.24–7.70)] in infants with cleft lip/palate < 12 months old. Poor access to services, food insecurity, and feeding challenges were key barriers to optimal nutrition. Most caregivers reported using practices that support responsive feeding. Conclusions: Reported barriers to services and high levels of undernutrition, strongly linked to feeding difficulties, underscore the need for targeted feeding interventions and better access to inclusive nutrition services in Uganda. Full article

Tiger nut (Cyperus esculentus L.) is a relatively neglected tuber crop with notable nutritional, functional, and ecological value. The primary objective of this study was to evaluate the biological properties and selected nutritional parameters of tiger nut tubers and oil, including antioxidant activity, total phenolic content (TPC), fatty acid (FA) profile, health-related lipid indices, and mineral composition. Methods: Natural and peeled tiger nut tubers, as well as commercially available tiger nut oil (yellow variety, Valencia, Spain), were analyzed. Antioxidant activity was measured spectrophotometrically using the DPPH method. The content of TPC was determined using the Folin–Ciocalteu assay. Fatty acid composition was analyzed by gas chromatography coupled with flame ionization detection, and these data were used to calculate the PUFA/SFA (P/S) ratio, atherogenicity (AI), thrombogenicity (TI) index, and hypocholesterolemic/hypercholesterolemic (h/H) ratio. Macro- and microelement contents were quantified using inductively coupled plasma optical emission spectrometry. Estimated daily intake (EDI), target hazard quotient (THQ), and total THQ (TTHQ) were calculated to assess potential health risks. Results: Natural tiger nut tubers exhibited substantially higher antioxidant activity and TPC compared to peeled tubers, suggesting that the peel is the primary reservoir of phenolic compounds. Strong antioxidant activity was observed in tiger nut oil (64.82 ± 2.59 mg TEAC/L). Oleic acid (C18:1cis n-9) was identified as the predominant FA across all samples, thus contributing positively to favorable health lipid indices (P/S > 0.50, low AI and TI, high h/H ratio). Potassium was the most abundant macroelement in natural and peeled tiger nut tubers. The overall trend of microelement levels in these samples was as follows: Al > Fe > Zn > Cu > Sr > Mn > Li > Ba > Se > As > Cr. All THQ and TTHQ values were below 1, indicating no appreciable health risk associated with consumption. Conclusions: These findings support the use of tiger nuts as a functionally valuable ingredient in health-oriented food products. Full article

With growing public health awareness, accurate food nutrition estimation plays an increasingly important role in dietary management and disease prevention. The main bottleneck lies in how to effectively integrate multi-source heterogeneous information. We propose RDINet, a multimodal network that fuses RGB appearance, depth geometry, and ingredient semantics for food nutrition estimation. It comprises two core modules: The RGB-D fusion module integrates the textural appearance of RGB images and the 3D shape information conveyed by depth images through a channel–spatial attention mechanism, achieving a joint understanding of food appearance and geometric morphology without explicit 3D reconstruction; the ingredient fusion module embeds ingredient information into visual features via attention mechanisms, enabling the model to fully leverage components that are visually difficult to discern or prone to confusion, thereby activating corresponding nutritional reasoning pathways and achieving cross-modal inference from explicit observations to latent attributes. Experimental results on the Nutrition5k dataset show that RDINet achieves percentage mean absolute errors (PMAE) of 14.9%, 11.2%, 19.7%, 18.9%, and 19.5% for estimating calories, mass, fat, carbohydrates, and protein, respectively, with a mean PMAE of 16.8% across all metrics, outperforming existing mainstream methods. The results demonstrate that the appearance–geometry–semantics fusion framework is effective. Full article

Iodine deficiency is the leading preventable cause of neurological damage worldwide. Dairy foods represent an important dietary iodine source. This study aimed to assess iodine concentration in milk, ricotta cheese, and yogurt, and to evaluate their contribution toward the recommended daily iodine intake. Whole pasteurized milk (WM; n = 12), partially skimmed pasteurized milk (PM; n = 21), skimmed pasteurized milk (SM; n = 7), ricotta cheese (RC; n = 26), whole yogurt (WY; n = 13), and low-fat yogurt (LY; n = 15) were purchased in local stores. Samples were analyzed through inductively coupled plasma mass spectrometry for iodine quantification. After removing outliers, the final dataset comprised 11 WM, 19 PM, 7 SM, 26 RC, 13 WY and 15 LY samples. Data were investigated through a mixed model with iodine concentration as the dependent variable, product type as fixed effect, and brand as random effect. Low-fat yogurt exhibited the greatest estimated iodine concentration (293.76 µg/kg), while SM and WM exhibited the lowest (211.92 and 197.63 µg/kg, respectively). Based on these results, a serving of milk (250 g) would provide 31.82–39.08% of the average daily iodine requirement, a serving of ricotta (125 g) 21.66%, and a yogurt jar (125 g) 21.54–24.11%. These findings confirm the nutritional relevance of dairy products as primary iodine sources. Full article

Background: Older adults carrying the APOE4 allele are at elevated risk for cognitive decline. To clarify how dietary patterns may influence cognitive deterioration in this high-risk group, further investigation is needed. Methods: This prospective cohort study followed 1420 Taiwanese adults aged 65 years or older. Dietary intake was assessed using a validated food frequency questionnaire, and cognitive function was measured with the Mini-Mental State Examination (MMSE). Changes in 31 nutrients between two survey waves were used to simulate the effect of dietary shifts, and dietary patterns were derived using principal component analysis (PCA) with oblimin-derived scores. The analysis was further stratified by APOE genotype, and multiple linear regression models adjusted for demographic and health-related factors were applied to evaluate the associations between dietary changes and cognitive function. Results: Positive associations between dietary change and MMSE scores were observed only among APOE4 carriers. In this group, lower adherence to a plant-based pattern (TC1, estimate = 0.115, 95% CI = 0.029, 0.201) and higher adherence to an animal- and fat-rich pattern (TC2, estimate = −0.119, 95% CI = −0.202, −0.035) were both associated with poorer cognitive performance. Conclusions: APOE4 carriers may be particularly sensitive to dietary patterns, suggesting that genotype-informed nutritional strategies could help preserve cognitive health in older adults. Full article

Background/Objectives: The Fourth Italian National Food Consumption Survey (IV SCAI 2017–2020) provides updated and comprehensive data on the dietary habits of the Italian population. The study aimed to assess nutrient intakes and their main food sources among individuals aged 3 months to 74 years and to evaluate the adequacy of intakes against the Italian dietary reference values (DRVs). Methods: A nationally representative sample of 1969 participants were surveyed using two non-consecutive food diaries (ages 3 months–9 years) and 24 h recalls (ages 10–74 years) in accordance with the European Food Safety Authority’s EU Menu guideline. The multiple source method was used to estimate the usual intakes accounted for intra-individual variability. Nutrient adequacy was assessed against age- and sex-specific DRVs, and the main food sources of macro- and micronutrients were identified. Results: Energy intake was below DRVs for adults, particularly women, while protein intake exceeded recommendations across all ages, mainly from animal sources (67% of total). Total fat (38%En) and saturated fat (12%En) exceeded the recommendations, whereas carbohydrates (45%En) and dietary fibre were suboptimal. Vitamin D and calcium intake were markedly below DRVs for all age groups; iron inadequacy was prevalent among females. The main energy sources were cereals (39%), milk and dairy (15%), oils and fats (13%), and meat (10%). Vegetables and fruits were leading contributors to vitamins A and C, while meat, fish, and dairy provided vitamin B12 and D. Conclusions: The Italian diet remains cereal-based but shows nutritional imbalances: notably, excessive protein and fat intake and widespread deficiencies in vitamin D, calcium, iron, and fibre. These findings underline the need for targeted nutrition policies to realign dietary patterns with the national recommendations. Full article