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Background Little is known about the association of specific nutrients, especially proteins, on age-related gut dysbiosis. Objectives To determine the associations between the quantity and sources (vegetable and animal) of dietary protein intake and gut microbiome composition in community-dwelling older men. Methods We performed a cross-sectional analysis on 775 older men from the Osteoporotic Fractures in Men Study (MrOS) (age 84.2 ± 4.0 y) with available dietary information and stool samples at visit 4 (2014–2016). Protein intake was estimated from a brief FFQ and adjusted to total energy intake. The gut microbiome composition was determined by 16S (v4) sequencing (processed by DADA2 and SILVA). A total of 11,534 amplicon sequence variants (ASVs) were identified and assigned to 21 phyla with dominance of Firmicutes (45%) and Bacteroidetes (43%). We performed α-diversity, β-diversity, and taxa abundance (by Analysis of Compositions of Microbiomes with Bias Correction [ANCOM-BC]) to determine the associations between protein intake and the gut microbiome. Results Median protein intake was 0.7 g/(kg body weight · d). Participants with higher energy-adjusted protein intakes had higher Shannon and Chao1 α-diversity indices (P  < 0.05). For β-diversity analysis, participants with higher protein intakes had a different center in weighted and unweighted UniFrac Principal Co-ordinates Analysis (PCoA) compared with those with lower intake (P  < 0.05), adjusted for age, race, education, clinical center, batch number, fiber and energy intake, weight, height, and medications. Similarly, higher protein consumptions from either animal or vegetable sources were associated with higher gut microbiome diversity. Several genus-level ASVs, including Christensenellaceae, Veillonella, Haemophilus , and Klebsiella were more abundant in participants with higher protein intakes, whereas Clostridiales bacterium DTU089 and Desulfovibrio were more abundant in participants with lower protein intake (Bonferroni corrected P  < 0.05). Conclusions We observed significant associations between protein intake and gut microbiome diversity in community-living older men. Further studies are needed to elucidate the mediation role of the gut microbiome on the relation between protein intake and health outcomes in older adults. [ABSTRACT FROM AUTHOR]

Background Measuring vitamin A (VA) status during lactation is required to inform dietary recommendations. Limited data exist on VA stores in women. Objectives Our objective was to assess VA status in lactating Thai women by measuring total body VA stores (TBSs), serum and breast milk retinol concentrations, and dietary intake. Methods Lactating women (n  = 94), 6–8 wk postpartum, were enrolled from rural (Ayutthaya) and urban (Bangkok) areas. TBSs were measured by the 13C-retinol isotope dilution (RID) technique using 2.0 μmol 13C-retinyl acetate and a single blood sample 14 d post-dose. Natural 13C-enrichment was determined in nonenrolled women (n  = 11). Estimated total liver VA reserves (TLRs) were determined using assumptions for lactation. Serum, foremilk, and hindmilk samples were analyzed for retinol by HPLC. Dietary VA intake was assessed by FFQ and 24-h dietary recalls for 3 d. Multiple regression and Pearson correlation were used to evaluate relations. Results Median VA intakes were 51.8% of 2003 Thai daily recommendations for lactating women, with the majority from animal-source foods. Many women in Ayutthaya consumed liver weekly. Considering TLRs as 50% TBS, 20% and 11% of mothers in Ayutthaya and Bangkok, respectively, showed deficient reserves (≤0.10 μmol retinol/g). Median (quartile 1, quartile 3) serum [1.58 (1.34, 1.91) and 1.52 (1.30, 1.70) μmol/L] and milk [1.88 (1.29, 2.95) and 1.74 (0.96, 2.26) μmol/L] retinol in Ayutthaya and Bangkok, respectively, were normal. Women with deficient TLRs showed low milk retinol concentrations (≤1.0 μmol/L) and consumed less dietary VA, especially from animal-source foods. Breast milk retinol concentrations, especially hindmilk, demonstrated strong correlation with TBSs and TLRs estimated from the RID test. Conclusions Approximately 15% of Thai lactating women had deficient TLRs. Breast milk retinol concentrations in conjunction with dietary intake records show potential to screen mothers at risk of VA deficiency to guide interventions. The Thai Clinical Trials Registry number is TCTR20160824001 for the work in Thailand. [ABSTRACT FROM AUTHOR]

Background Low 24-h urinary potassium excretion, reflecting low potassium intake, is associated with premature mortality in the general population. Objectives To determine whether urinary potassium excretion is associated with all-cause mortality in patients with type 2 diabetes. Methods We performed a prospective cohort study in 654 patients with type 2 diabetes in the Diabetes and Lifestyle Cohort Twente (DIALECT). Sex-specific tertiles of 24-h urinary potassium excretion were analyzed in a multivariable Cox regression model with all-cause mortality. The outpatient program of the hospital uses a continuous surveillance system by the municipal registry of death to ensure up-to-date information on the patient's status (alive or deceased). FFQs were used to study associations between urinary potassium excretion and food products. Results Urinary potassium excretion at baseline was 84 ± 25 mmol/d in males and 65 ± 22 mmol/d in females, corresponding to estimated potassium intakes of 4250 ± 1270 mg/d and 3300 ± 875 mg/d. During a median follow-up of 5.2 (IQR: 2.7−7.9] y, 96 participants died. In a fully adjusted model, patients in the lowest sex-specific tertile had a higher risk of all-cause mortality, compared with patients in the highest sex-specific tertile (HR: 2.09; 95% CI: 1.06, 4.10; P  = 0.03). Patients in the lowest sex-specific tertile consumed fewer fruits and vegetables, dairy, coffee, and potato products compared with patients in the highest sex-specific tertile (all P  < 0.05). Conclusions Low potassium intake is associated with a higher risk of all-cause mortality in Dutch patients with type 2 diabetes. Intervention studies are needed to determine whether potassium supplementation improves longevity in patients with type 2 diabetes. This trial was registered in the Dutch Trial Register as NTR trial code 5855. [ABSTRACT FROM AUTHOR]

Background The Children's Healthy Living study provided dietary intake information for understudied Native Hawaiian and Other Pacific Islander (NHOPI) young children. Objectives Our objective was to describe food group and macronutrient intakes of NHOPI children in the US-Affiliated Pacific region (USAP), overall and by jurisdiction, income level, and metabolic status. Methods We evaluated 2–8-y-olds (n  = 3520) in a cross-sectional cluster sampled study using 2 d of dietary records completed by caregivers using provided tools, quantified by a specially developed food composition table and compared with US dietary recommendations. Overweight and obesity (OWOB) and acanthosis nigricans (AN) assessment (metabolic status) was completed by trained evaluators using standard tools. Demographic data were collected by questionnaire. Regression analysis identified differences in dietary component means by jurisdiction, World Bank income groups (WBIGs), and metabolic status, adjusted for age and sex. Results Few children met US recommendations for vegetable (2.4%) and milk (4.1%) food groups. US macronutrient recommendations were generally met. Food group and macronutrient intakes were significantly different by jurisdiction and WBIG. Means for food groups, except meats, and macronutrients, except protein, were higher in overweight/obese (OWOB) compared with healthy-weight children. Grain intake of 7.25 (SE: 0.08) oz was higher (P  < 0.05) and milk intake of 0.90 (SE: 0.05) cups was lower (P  < 0.05) in children with OWOB compared with those without OWOB [grains: 7.17 (SE: 0.07) oz; and milk: 0.96 (SE: 0.04) cups]. Monounsaturated fat intake of 11.68 (SE: 0.10) % energy was higher in those with OWOB, compared with healthy-weight children [11.56 (SE: 0.08) % energy, P  < 0.05]. Conclusions Young children's diets in the USAP did not meet milk, vegetable, or fruit intake recommendations. There was variability in dietary patterns across the USAP and by WBIG. Grain intake and monounsaturated fat intake were lower and milk intake was higher in children with better metabolic status. [ABSTRACT FROM AUTHOR]

Background The fecal metabolome is affected by diet and includes metabolites generated by human and microbial metabolism. Advances in -omics technologies and analytic approaches have allowed researchers to identify metabolites and better utilize large data sets to generate usable information. One promising aspect of these advancements is the ability to determine objective biomarkers of food intake. Objectives We aimed to utilize a multivariate, machine learning approach to identify metabolite biomarkers that accurately predict food intake. Methods Data were aggregated from 5 controlled feeding studies in adults that tested the impact of specific foods (almonds, avocados, broccoli, walnuts, barley, and oats) on the gastrointestinal microbiota. Fecal samples underwent GC-MS metabolomic analysis; 344 metabolites were detected in preintervention samples, whereas 307 metabolites were detected postintervention. After removing metabolites that were only detected in either pre- or postintervention and those undetectable in ≥80% of samples in all study groups, changes in 96 metabolites relative concentrations (treatment postintervention minus preintervention) were utilized in random forest models to 1) examine the relation between food consumption and fecal metabolome changes and 2) rank the fecal metabolites by their predictive power (i.e., feature importance score). Results Using the change in relative concentration of 96 fecal metabolites, 6 single-food random forest models for almond, avocado, broccoli, walnuts, whole-grain barley, and whole-grain oats revealed prediction accuracies between 47% and 89%. When comparing foods with one another, almond intake was differentiated from walnut intake with 91% classification accuracy. Conclusions Our findings reveal promise in utilizing fecal metabolites as objective complements to certain self-reported food intake estimates. Future research on other foods at different doses and dietary patterns is needed to identify biomarkers that can be applied in feeding study compliance and clinical settings. [ABSTRACT FROM AUTHOR]

Background: Lutein and zeaxanthin are carotenoids associated with better cognition in older adults. Recent evidence suggest that their dietary intake may also have cognitive implications in childhood.Objectives: To examine associations of early childhood lutein and zeaxanthin (L/Z) intake with cognition in early and mid-childhood.Methods: Among 1378 children in Project Viva, a prospective cohort, mothers reported their child's dietary intake in early childhood (median 3.2 years) using a food frequency questionnaire. Child cognition and behavior were assessed at the same timepoint using the Peabody Picture Vocabulary Test (PPVT-III) and the Wide Range Assessment of Visual Motor Abilities (WRAVMA); and at mid-childhood (median 7.7 years) using the Kaufman Brief Intelligence Test, the WRAVMA drawing subtest, the Wide Range Assessment of Memory and Learning, the Behavior Rating Inventory of Executive Function (BRIEF), and the Strengths and Difficulties Questionnaire.Results: Children consumed a daily mean (SD) of 1.0 (0.4) mg of L/Z in early childhood. Children in the third quartile category of L/Z intake had a mean PPVT-III score 2.40 (95%CI: 0.27, 4.53) points higher than children in the lowest quartile category in early childhood, suggesting better receptive vocabulary. Children in the highest quartile category of L/Z intake had a parent-reported mean BRIEF Global Executive Composite score 1.65 (95%CI: -3.27, -0.03) points lower than children in the lowest quartile category in mid-childhood, indicating better executive function. We did not observe associations between L/Z intake and any of the other cognitive or behavioral outcomes assessed.Conclusion: The overall findings do not provide strong evidence of an association between child L/Z intake and cognition and behavior. However, the positive associations found between early childhood L/Z intake and early childhood receptive vocabulary and mid-childhood executive function, in addition to previous evidence of neurodevelopmental benefit of L/Z intake, suggest that this relationship deserves further investigation. [ABSTRACT FROM AUTHOR]

Background: The prevalence of adverse birth outcomes is highest in resource-limited settings such as sub-Saharan Africa. Maternal consumption of diets with adequate nutrients during pregnancy may protect against these adverse outcomes.Objective: To determine the association between maternal dietary animal source foods (ASF) consumption and the risk of adverse birth outcomes among HIV-negative pregnant women in Tanzania.Methods: Using dietary intake data from 7564 HIV-negative pregnant, we used Poisson regression with the empirical variance (GEE) to estimate the relative risk (RR) of adverse birth outcomes (preterm birth, very preterm birth, small for gestation age (SGA), low birth weight (LBW), stillbirth and neonatal death) for higher versus lower ASF frequency of intake.Results: Median (interquartile range) daily dietary intake of animal protein was 17 (1-48) grams. Higher ASF protein intake frequency was associated with lower risk of neonatal death (Q4 vs Q1 RR: 0.59; 95% CI: 0.38, 0.90; P for trend = 0.01). Higher fish intake was associated with lower risk of very preterm birth (high vs low tertile RR: 0.76; 95% CI: 0.58, 0.99; P for trend = 0.02). Meat intake was protective of preterm birth (RR = 0.73; 95% CI: 0.65, 0.82; P<0.001), very preterm birth (P<0.001), LBW (P<0.001), and neonatal death (P = 0.01) but associated with increased risk of SGA (RR = 1.19; 95% CI: 1.01, 1.39; P = 0.04). Any egg intake was protective of very preterm birth (RR = 0.52; 95% CI: 0.32, 0.86; P = 0.01) compared to no egg intake. Finally, dairy intake was associated with lower risk of preterm birth (RR = 0.82; 95% CI: 0.68, 0.98; P = 0.03) and very preterm birth (RR = 0.53, 95% CI: 0.34, 0.84; P = 0.01).Conclusions: Higher frequency of dietary intake of ASF is associated with lower risk of adverse birth outcomes in urban Tanzania. Promoting prenatal dietary intake of ASF may improve birth outcomes in this region and similar resource-limited settings.Clinical Trial Registry Number: NCT00197548. [ABSTRACT FROM AUTHOR]

Background Cross-sectional studies have suggested that consumption of sulfur amino acids (SAAs), including methionine and cysteine, is associated with a higher risk of type 2 diabetes (T2D) in humans and with T2D-related biomarkers in animals. But whether higher long-term SAA intake increases the risk of T2D in humans remains unknown. Objectives We aimed to investigate the association between long-term dietary SAA intake and risk of T2D. Methods We analyzed data collected from 2 different cohorts of the Framingham Heart Study, a long-term, prospective, and ongoing study. The Offspring cohort (1991–2014) included participants from fifth through ninth examinations, and the Third-Generation cohort (2002–2011) included participants from first and second examinations. After excluding participants with a clinical history of diabetes, missing dietary data, or implausible total energy intake, 3222 participants in the Offspring cohort and 3205 participants in the Third-Generation cohort were included. Dietary intake was assessed using a validated FFQ. The relations between energy-adjusted total SAA (methionine and cysteine) intake or individual SAA intake (in quintiles) and risk of incident T2D were estimated via Cox proportional hazards models after adjusting for dietary and nondietary risk factors. Associations across the 2 cohorts were determined by direct combination and meta-analysis. Results During the 23 y of follow-up, 472 participants reported a new diagnosis of T2D in the 2 cohorts. In the meta-analysis, the HRs of T2D comparing the highest with the lowest intake of total SAAs, methionine, and cysteine were 1.8 (95% CI: 1.3, 2.5), 1.7 (95% CI: 1.2, 2.3), and 1.4 (95% CI: 1.0, 2.1), respectively. The association of SAA intake with T2D was attenuated after adjusting animal protein intake in sensitivity analyses. Conclusions Our findings show that excess intake of SAAs is associated with higher risk of T2D. Dietary patterns that are low in SAAs could help in preventing T2D. [ABSTRACT FROM AUTHOR]

Background: Lack of robust research methodology for assessing ingestive behaviour has impeded clarification of the mediators of food intake following gastric bypass (GBP) surgery.Objective: To evaluate changes in directly measured 24hr energy intake (EI), energy density (ED) (primary outcomes), eating patterns and food preferences (secondary outcomes) in patients and time matched weight-stable comparator participants.Design: Patients (n = 31,77% female, BMI 45.5±1.3) and comparators (n = 32, 47% female, BMI 27.2±0.8) were assessed for 36hr under fully residential conditions at baseline (1-mo pre-surgery) and at 3- and 12-mo post-surgery. Participants had ad libitum access to a personalised menu (n = 54 foods) based on a 6 macronutrient mix paradigm. Food preferences were assessed by the Leeds Food Preference Questionnaire. Body composition was measured by whole-body dual-energy x-ray absorptiometry.Results: In the comparator group there was an increase in relative fat intake at 3-mo post-surgery, otherwise no changes were observed in food intake or body composition. At 12-mo post-surgery, patients lost 27.7±1.6% of initial body weight (p<0.001). The decline in EI at 3-mo post-surgery (-44% from baseline, P<0001)) was followed by a partial rebound at 12-mo (-18% from baseline) but at both times dietary ED and relative macronutrient intake remained constant. The decline in EI was due to eating the same foods as consumed pre-surgery and by decreasing the size (g, MJ), but not the number, of eating occasions. In patients, reduction in explicit liking at 3-mo (-11.56±4.67, P = 0.007) and implicit wanting at 3- (-15.75±7.76, P = 0.01) and 12-mo (-15.18±6.52, P = 0.022) for sweet foods was not matched by reduced intake of these foods. Patients with the greatest reduction in ED post-surgery reduced both EI and preference for sweet foods.Conclusion: After GBP patients continue to eat the same foods but in smaller amounts. These findings challenge prevailing views about the dynamics of food intake following GBP surgery. Clinical Trial Registry Number: NCT03113305 (ClinicalTrials.gov). [ABSTRACT FROM AUTHOR]

Background: The National Cancer Institute (NCI) method has been used widely by researchers to make inferences about usual dietary intake distributions of foods and nutrients based on a limited number of 24-hour dietary recalls (24HRs). Although the NCI method does not provide individual estimates of usual intake, it can be used to address many research questions, including modeling effects of nutrition interventions on population distributions of usual intake. Software for implementing the NCI method and corresponding code examples is publicly available in the form of SAS macros, but little formal guidance exists for conducting advanced analyses.Objectives: We aim to present advanced techniques for working with NCI macros to conduct both basic and advanced dietary analyses and modeling.Method: We first present the three basic building blocks of analyses using the NCI method: 1) dataset preparation; 2) application of the MIXTRAN macro to estimate parameters of the usual intake distribution, including effects of covariates, after transformation of 24HRs to approximate normality; and 3) application of the DISTRIB macro to estimate the distribution of usual nutrient intake. Then, we illustrate how researchers can employ these building blocks to answer questions beyond typical descriptive analyses.Results: Researchers can adapt the building blocks to 1) account for factors such as demographic changes or nutrition interventions such as food fortification, 2) estimate the prevalence of dietary inadequacy via the full probability method, 3) incorporate nutrient intake from sources not always captured by 24HRs, such as dietary supplements and human milk, and 4) carry out multiple subgroup analyses. This paper describes the theoretical basis and operational guidance for these techniques.Conclusion: With this paper as a detailed resource, researchers can leverage the basic NCI building blocks to investigate a wide range of questions about usual dietary intake distribution. [ABSTRACT FROM AUTHOR]

Background: When children choose amounts of food to eat, it is unclear what influences the portions they select and whether their selections are related to the amounts they consume.Objectives: Using a computer survey, we investigated the effect of food liking on portion selection in middle childhood and examined how children's selections were related to measured intake at meals in which portions of all foods were varied across 4 test days.Methods: Fifty-one children aged 7-10 y completed a computer survey of 20 common foods with a range of energy density. For each food, the survey presented sliding scales with 5 images varying in portion size and children indicated their liking and the amount they would eat at a specified meal or snack. On 4 test days in a randomized crossover design, children were served a meal of 6 foods from the survey with portions of 100%, 133%, 167%, or 200% of baseline amounts. Data were analyzed using random coefficients models.Results: Across the 20 foods used in the survey, portion selection ratings were predicted by food liking ratings (P < 0.0001). After accounting for liking, portion selection ratings did not vary by food energy density (P = 0.50). At the meals, intake of all 6 foods increased when larger portions were served (P = 0.002). Furthermore, the selected portion of a food on the survey was positively related both to intake of that food at the 100%-portion meal (P = 0.014) and to increased intake as larger portions were served (P < 0.0001).Conclusions: Children aged 7-10 y were able to use a computer survey to choose food portions that predicted their measured intake in response to increased portions. The relation of liking to selection and intake indicates that to promote children's consumption of larger portions of low-energy-dense foods such as fruits and vegetables, these foods must be well liked by the children. This trial was registered at clinicaltrials.gov as NCT02759523. [ABSTRACT FROM AUTHOR]

Background: Examination of meal intakes can elucidate the role of individual meals or meal patterns in health not evident by examining nutrient and food intakes. To date, meal-based research has been limited to focus on population rather than individual intakes, without considering portions or nutrient content when characterizing meals.Objectives: We aimed to characterize meals commonly consumed, incorporating portions and nutritional content, and to determine the accuracy of nutrient intake estimates using these meals at both population and individual levels.Methods: The 2008-2010 Irish National Adult Nutrition Survey (NANS) data were used. A total of 1500 participants, with a mean ± SD age of 44.5 ± 17.0 y and BMI of 27.1 ± 5.0 kg/m2, recorded their intake using a 4-d weighed food diary. Food groups were identified using k-means clustering. Partitioning around the medoids clustering was used to categorize similar meals into groups (generic meals) based on their Nutrient Rich Foods Index (NRF9.3) score and the food groups that they contained. The nutrient content for each generic meal was defined as the mean content of the grouped meals. Seven standard portion sizes were defined for each generic meal. Mean daily nutrient intakes were estimated using the original and the generic data.Results: The 27,336 meals consumed were aggregated to 63 generic meals. Effect sizes from the comparisons of mean daily nutrient intakes (from the original compared with generic meals) were negligible or small, with P values ranging from <0.001 to 0.941. When participants were classified according to nutrient-based guidelines (high, adequate, or low), the proportion of individuals who were classified into the same category ranged from 55.3% to 91.5%.Conclusions: A generic meal-based method can estimate nutrient intakes based on meal rather than food intake at the sample population and individual levels. Future work will focus on incorporating this concept into a meal-based dietary intake assessment tool. [ABSTRACT FROM AUTHOR]

Background: Prospective longitudinal evidence considering the entire childhood food consumption in relation to the development of islet autoimmunity (IA or) type 1 diabetes is lacking., Objectives: We studied the associations of consumption of various foods and their combinations with IA and type 1 diabetes risk., Methods: Children with genetic susceptibility to type 1 diabetes born in 1996-2004 were followed from birth up to ≤6 y of age in the prospective birth cohort type 1 diabetes prediction and prevention study (n = 5674). Exposure variables included 34 food groups covering the entire diet based on repeated 3-d food records at ages 3 mo to 6 y. Endpoints were islet cell antibodies plus biochemical IA (n = 247), multiple biochemical IA (n = 206), and type 1 diabetes (n = 94). We analyzed associations between longitudinally observed foods and risk of IA/type 1 diabetes using a Bayesian approach to joint models in 1-food and multi-food models adjusted for energy intake, sex, human leukocyte antigen genotype, and familial diabetes., Results: The final multi-food model for islet cell antibodies plus biochemical IA included oats [hazard ratio (HR): 1.09; 95% credible interval (CI): 1.04, 1.14], banana (HR: 1.07; 95% CI: 1.03, 1.11), and cruciferous vegetables (HR: 0.83; 95% CI: 0.73, 0.94). The final model for multiple biochemical IA included, in addition to the above-mentioned foods, fermented dairy (HR: 1.42; 95% CI: 1.12, 1.78) and wheat (HR: 1.10; 95% CI: 1.03, 1.18). The final multi-food model for type 1 diabetes included rye (HR: 1.27; 95% CI: 1.07, 1.50), oats (HR: 1.15; 95% CI: 1.03, 1.26), fruits (HR: 1.05; 95% CI: 1.01, 1.09), and berries (HR: 0.67; 95% CI: 0.50, 0.93)., Conclusions: Higher consumption of oats, gluten-containing cereals, and fruits was associated with increased that of cruciferous vegetables with decreased risk of several type 1 diabetes-related endpoints when considering all the foods in combination. Further etiological and mechanistic studies are warranted., Competing Interests: Conflict of interest The authors report no conflicts of interest., (Copyright © 2024 The Authors. Published by Elsevier Inc. All rights reserved.)

Background: Resilience, the ability to bounce back or recover from stress, has been associated with several health-related behaviors. However, data on food intake and emotional eating are lacking.Objectives: The objective of this cross-sectional study was to analyze the associations between resilience and diet quality and ultraprocessed food (UPF) and food group consumption, and to assess whether emotional eating was a mediator of these associations.Methods: In 2017, 17,840 participants (73.5% female, mean age = 55.4 ± 14.0 y) of the NutriNet-Santé study completed the Brief Resilience Scale, the revised 21-item Three-Factor Eating Questionnaire, and ≥3 self-administered 24-h dietary records. Diet quality was assessed with the modified French National Nutrition and Health Program Guideline Score. Foods and beverages consumed were categorized according to their degree of processing by the NOVA classification. We assessed the association between resilience and emotional eating using linear regression models. We also assessed the mediating role of emotional eating in the associations between resilience and diet quality, energy intake, and UPF and food group consumption, controlling for sociodemographic characteristics.Results: In our study, resilience was negatively associated with emotional eating (P < 0.0001). More resilient participants had greater overall diet quality, greater intakes of seafood, whole-grain foods, fats, unsalted oleaginous fruits, and alcoholic beverages, and lower intakes of UPFs, starchy foods, dairy desserts, sugary fatty products, and sugar and confectionery (all P < 0.05). Emotional eating was a mediator of the inverse associations between resilience and intake of energy, UPFs, dairy desserts, sugary fatty products, and of the positive associations between resilience and alcoholic beverages (all P < 0.05), with a 20-70% mediation.Conclusions: Our findings showed that resilience was associated with an overall better diet quality in the NutriNet-Santé population-based study. These associations were partially explained by emotional eating. These findings suggest that resilience should be considered in the promotion of healthy dietary habits.The study is registered at clinicaltrials.gov as #NCT03335644. [ABSTRACT FROM AUTHOR]

Background: Eating behaviors are determined by a complex interplay between behavioral and physiologic signaling occurring before, during, and after eating.Objectives: The aim was to explore how selected behavioral and physiologic variables separately and grouped together predicted intake of 8 different foods.Methods: One hundred adults with normal weight performed a food preference task combined with biometric measurements (the Steno Biometric Food Preference Task) in the fasting state. The task measured food reward as well as biometric (eye tracking, electrodermal activity, and facial expressions) responses to images of foods varying in fat content and taste. Energy intake from an ad libitum buffet of the same 8 foods as assessed in the preference task was subsequently assessed. A mixed-effects random forest approach was applied to explore how individual and combined measures of food reward and biometric responses predicted energy intake of the 8 single foods. The performance of the different prediction models was compared with the predictions from a linear model including only an intercept (naïve model) using bootstrap cross-validation.Results: Participants had a median [IQR] intake of 369 kJ [126-472 kJ] per food. Combined or separate measures of food reward or biometric responses did not predict energy intake better than the naïve model.Conclusions: We did not find that the reward or biometric responses to food cues assessed in a clinical setting were useful in predicting energy intake of single foods. However, this study provides a framework in the field of behavioral nutrition for applying machine learning with a focus on individual predictions. This is necessary on the road toward personalized nutrition and provides great potential for handling complex data with multiple variables.This trial was registered at clinicaltrials.gov as NCT03986619. [ABSTRACT FROM AUTHOR]

The human gut microbiome is linked to metabolic and cardiovascular disease risk. Dietary modulation of the human gut microbiome offers an attractive pathway to manipulate the microbiome to prevent microbiome-related disease. However, this promise has not been realized. The complex system of diet and microbiome interactions is poorly understood. Integrating observational human diet and microbiome data can help researchers and clinicians untangle the complex systems of interactions that predict how the microbiome will change in response to foods. The use of dietary patterns to assess diet-microbiome relations holds promise to identify interesting associations and result in findings that can directly translate into actionable dietary intake recommendations and eating plans. In this article, we first highlight the complexity inherent in both dietary and microbiome data and introduce the approaches generally used to explore diet and microbiome simultaneously in observational studies. Second, we review the food group and dietary pattern-microbiome literature focusing on dietary complexity-moving beyond nutrients. Our review identified a substantial and growing body of literature that explores links between the microbiome and dietary patterns. However, there was very little standardization of dietary collection and assessment methods across studies. The 54 studies identified in this review used ≥7 different methods to assess diet. Coupled with the variation in final dietary parameters calculated from dietary data (e.g., dietary indices, dietary patterns, food groups, etc.), few studies with shared methods and assessment techniques were available for comparison. Third, we highlight the similarities between dietary and microbiome data structures and present the possibility that multivariate and compositional methods, developed initially for microbiome data, could have utility when applied to dietary data. Finally, we summarize the current state of the art for diet-microbiome data integration and highlight ways dietary data could be paired with microbiome data in future studies to improve the detection of diet-microbiome signals. [ABSTRACT FROM AUTHOR]

Background: Protein ingestion increases muscle protein synthesis rates. The food matrix in which protein is provided can strongly modulate the postprandial muscle protein synthetic response. So far, the muscle protein synthetic response to the ingestion of whole foods remains largely unexplored.Objectives: To compare the impact of ingesting 30 g protein provided as milk protein or cheese on postprandial plasma amino acid concentrations and muscle protein synthesis rates at rest and during recovery from exercise in vivo in young males.Methods: In this randomized, parallel-group intervention trial, 20 healthy males aged 18-35 y ingested 30 g protein provided as cheese or milk protein concentrate following a single-legged resistance-type exercise session consisting of 12 sets of leg press and leg extension exercises. Primed, continuous intravenous L-[ring-13C6]-phenylalanine infusions were combined with the collection of blood and muscle tissue samples to assess postabsorptive and 4-h postprandial muscle protein synthesis rates at rest and during recovery from exercise. Data were analyzed using repeated measures Time × Group (× Leg) ANOVA.Results: Plasma total amino acid concentrations increased after protein ingestion (Time: P < 0.001), with 38% higher peak concentrations following milk protein than cheese ingestion (Time × Group: P < 0.001). Muscle protein synthesis rates increased following both cheese and milk protein ingestion from 0.037 ± 0.014 to 0.055 ± 0.018%·h-1 and 0.034 ± 0.008 to 0.056 ± 0.010%·h-1 at rest and even more following exercise from 0.031 ± 0.010 to 0.067 ± 0.013%·h-1 and 0.030 ± 0.008 to 0.063 ± 0.010%·h-1, respectively (Time: all P < 0.05; Time × Leg: P = 0.002), with no differences between cheese and milk protein ingestion (Time × Group: both P > 0.05).Conclusion: Cheese ingestion increases muscle protein synthesis rates both at rest and during recovery from exercise. The postprandial muscle protein synthetic response to the ingestion of cheese or milk protein does not differ when 30 g protein is ingested at rest or during recovery from exercise in healthy, young males. [ABSTRACT FROM AUTHOR]

Background: Few studies have assessed the integrative effects of diet, BMI, and exercise on postprandial changes in energy and circulating metabolic profiles.Objectives: We aimed to assess the collective effects of 3 isocaloric meals high in carbohydrate (74.2% energy), fat (64.6% energy), or protein (39.5% energy) on energy expenditure and clinical and metabolomic biomarkers under resting and exercise conditions in normal-weight and overweight/obese men.Methods: This crossover controlled acute trial included 20 normal-weight (BMI, 18.5 to <24 kg/m2) and 20 overweight/obese (BMI ≥24 kg/m2) men aged 18-45 years. Each of 3 test meals was provided for 2 continuous days: a resting day without exercise, followed by an exercise day with a bicycling exercise of 50% maximal oxygen consumption (postprandial 90-120 minutes). Energy expenditure (exploratory outcome of primary interest) was measured using indirect calorimetry. Fasting and postprandial 2-hour serum clinical and metabolomic biomarkers (secondary interest) were measured. Mixed models were used to examine the effects of meal, time, and/or BMI category.Results: On the resting day, no significant between-meal differences were detected for energy expenditure. However, high-carbohydrate and high-fat meals induced the highest postprandial 2-hour increase in glucose (0.34 ± 0.15 mmol/L) and triglyceride (0.95 ± 0.09 mmol/L), respectively, while the high-protein meal reduced glucose (-0.48 ± 0.08 mmol/L) and total cholesterol (-0.01 ± 0.03 mmol/L; all Pmeal values < 0.001). On the exercise day, a high-carbohydrate meal significantly promoted the carbohydrate oxidation rate but suppressed the fat oxidation rate (Pmeal < 0.05), while its postprandial glucose response was attenuated by bicycling (-0.31 ± 0.03 mmol/L; Pexercise < 0.001). We identified 69 metabolites as key features in discriminating between the 3 meals, and overweight/obese men had more varieties of metabolites than normal-weight men.Conclusions: Three isocaloric meals induced unique postprandial changes in clinical and metabolomic biomarkers, while exercise prevented the hyperglycemia induced by a high-carbohydrate meal. Overweight/obese men were more responsive to the meal challenges than normal-weight men. This trial was registered at clinicaltrials.gov as NCT03231618. [ABSTRACT FROM AUTHOR]

Background: Up to 30% of community-based older adults report reduced appetite and energy intake (EI), but previous research examining the underlying physiological mechanisms has focused on the mechanisms that suppress eating rather than the hunger drive and EI.Objectives: We examined the associations between fat-free mass (FFM), physical activity (PA), total daily energy expenditure (TDEE), and self-reported EI in older adults.Methods: The present study was a secondary analysis of the Interactive Diet and Activity Tracking in AARP study. Body composition (deuterium dilution), PA (accelerometry), and TDEE (doubly labeled water) were measured in 590 older adults (age, 63.1 ± 5.9 years; BMI, 28.1 ± 4.9 kg/m2). The total daily EI was estimated from a single 24-hour dietary recall (EIsingle; ±1 month of PA and TDEE measurement) and the mean of up to 6 recalls over a 12-month period (EImean), with misreporters classified using the 95% CIs between the EImean and TDEE.Results: After controlling for age and sex, linear regression demonstrated that FFM and TDEE predicted EI when estimated from a single 24-hour dietary recall (P < 0.05), from the mean of up to 6 dietary recalls (P < 0.05), and after the removal of those classified as underreporters (P < 0.001). Age moderated the associations between FFM and EIsingle (P < 0.001), FFM and EImean (P < 0.001), and TDEE with EIsingle (P = 0.016), with associations becoming weaker across age quintiles.Conclusions: These data suggest that the total daily EI is proportional to the FFM and TDEE, but not fat mass, in older adults. These associations may reflect an underling drive to eat that influences the daily food intake. While the associations between FFM or TDEE and EI existed across all age quintiles, these associations weakened with increasing age. [ABSTRACT FROM AUTHOR]

Background: Diet quality indexes, including the Healthy Eating Index, assess diets based on usual dietary intakes and a scoring function. Nearly all diet quality indexes use scoring functions that have floors and ceilings, thereby truncating the scores and losing information about intakes outside the scoring range. This score truncation has 2 important impacts: 1) the index does not reflect all intakes; and 2) the assumption that measurement error in intake reporting has a neutral impact on the diet quality score cannot be upheld.Objectives: Our main objective was to devise new diet quality scoring functions that eliminate truncation and its attendant problems.Methods: Seven desirable properties of a new scoring function were identified: 1) avoid truncations in component scoring to prevent information loss and to provide scoring sensitivity in the currently truncated regions; 2) reduce dependency on the accuracy of dietary standards; 3) minimize measurement error bias and subsequent misclassification; 4) relate plausibly to biological processes; 5) possess desirable mathematical and statistical properties; 6) have simple representations that are easy to calculate and add minimum artifacts of their own; and 7) otherwise closely mimic existing scoring functions.Results: The recommended replacement for piecewise-linear scoring is a family of scoring functions based on exponentials. For components where higher intakes are better, the function is a single exponential. For components where lower intakes are better, the function is a concave-convex mirrored pair of exponentials. The proposed exponential scoring functions have all 7 desired properties.Conclusions: The proposed exponential scoring functions will improve the usefulness of dietary scoring indexes by eliminating truncations. Compared to existing scoring functions, the use of exponentials makes the scores more inclusive of very high and very low intakes, reduces measurement error bias, and is less sensitive to the exact placement of the scoring standards. [ABSTRACT FROM AUTHOR]

Background: Dietary biomarkers measured in biospecimens can play an important role in correcting for random and systematic measurement error in self-reported nutrient intake when assessing diet-disease associations. To date, high-quality biomarkers for calibrating self-reported dietary intake have only been developed for a few nutrients.Objectives: To investigate new study designs and regression calibration approaches for calibrating self-reported nutrient intake for use in disease association analyses.Methods: We studied 3 regression calibration approaches: 1) an existing approach built on a calibration cohort assuming the existence of an objective biomarker (i.e., biomarker with random independent measurement error), 2) a proposed approach using a biomarker development cohort, and 3) a proposed 2-stage approach using both cohorts. We conducted simulation studies to compare the performance of different study designs/methods for estimating diet-disease associations and applied suitable methods to examine the association of sodium and potassium intake with cardiovascular disease (CVD) risk in Women's Health Initiative cohorts.Results: Simulation studies showed that the first approach can lead to biased association estimation when the objective biomarker assumption is violated; the second and third proposed approaches obviate the need for such an objective biomarker. Precision for estimating the association depends critically on sample size of the biomarker development cohort and the strength of the self-reported nutrient intake. Analyses based on the second and third approaches support previously reported significant findings using the first approach about associations of the ratio of sodium to potassium intake with CVD risk while providing efficiency gain for some outcomes.Conclusions: Self-reported dietary intake needs to be calibrated for measurement error correction in diet-disease association analyses. When there are no existing objective biomarkers that can be used for calibration purpose, controlled feeding studies can be used to develop new biomarkers for use in calibration or can be used to calibrate self-reported dietary intake directly. [ABSTRACT FROM AUTHOR]

Background: Children with Autism Spectrum Disorders (ASDs) tend to be selective in their food intake, which may compromise their diet quality. While ASD diagnoses capture severe levels of impairment, autistic traits vary on a continuum throughout the population. Yet, little is known about how autistic traits relate to diet quality at the population level.Objectives: This study examines the association between autistic traits in early childhood and diet quality in mid-childhood and explores the mediating role of food selectivity.Methods: Participants were children (n = 4092) from the population-based Generation R Study. Parents reported their child's autistic traits at 1.5, 3, and 6 years; food selectivity at 4 years; and food intake at 8 years, from which a diet quality score was derived. Associations of autistic traits and the autistic trait trajectory (identified using Latent Class Growth Modelling) with diet quality were examined using multiple linear regression models. The indirect effect of food selectivity in the association between autistic traits at 1.5 years and diet quality was examined using mediation analysis.Results: Autistic traits were associated with diet quality (e.g., 1.5 years: β = -0.09; 95% CI: -0.13 to -0.06). Two classes captured the autistic trait trajectories from 1.5 to 6 years: children with "low and stable" (95%) and "high and increasing" (5%) mean scores. Children in the high and increasing group had poorer diet quality than those in the low and stable group (β = -0.28; 95% CI: -0.44 to -0.11). Food selectivity mediated the association between autistic traits at 1.5 years and diet quality at 8 years (βindirect = -0.03; 95% CI: -0.03 to -0.02).Conclusions: Autistic traits in early childhood are associated with poorer diet quality in mid-childhood, and food selectivity appears to mediate this association. Interventions intended to optimize nutrition in children with elevated autistic traits may integrate behavioral strategies to support parents' responding to their child's food selectivity. [ABSTRACT FROM AUTHOR]

Does the amount of stable isotope dose influence retinol kinetic responses and predictions of vitamin A total body stores by the retinol isotope dilution method in theoretical children and adults? Inflammation adjustments to serum retinol and retinol-binding protein improve specificity but reduce sensitivity when estimating vitamin A deficiency compared with the modified relative dose-response test in Ghanaian children. Adequate vitamin A liver stores estimated by the modified relative dose response test are positively associated with breastfeeding but not vitamin A supplementation in Senegalese urban children 9-23 months old: A comparative cross-sectional study. Introduction Major strides have been made globally to eradicate blindness due to vitamin A (VA) deficiency, but VA status assessments are still important for monitoring intervention programs. [Extracted from the article]

Background: The maternal metabolic milieu is challenged during pregnancy and may result in unwarranted metabolic complications. A time-restricted eating (TRE) pattern may optimize the metabolic response to pregnancy by improving glucose metabolism and reducing circulating glucose concentrations, as it does in nonpregnant individuals.Objectives: The objectives of this study were to 1) assess eating timing in pregnant women; 2) understand the perceptions of adopting a TRE pattern; 3) determine the barriers and support mechanisms for incorporating a TRE pattern; and 4) identify those most willing to adopt a TRE pattern during pregnancy.Methods: This was a cross-sectional quantitative and quasi-qualitative online survey study for women who were pregnant at the time of study completion or had given birth in the prior 2 years. Group analyses were performed based off willingness to try a TRE pattern using chi-squared analyses, independent samples t-tests, or an analysis of variance. Three separate reviewers reviewed qualitative responses.Results: A total of 431 women (BMI, 27.5 ± 0.3 kg/m2) completed the study. Of the participating women, 23.7% reported willingness to try a TRE pattern during pregnancy. Top barriers to adopting a TRE pattern during pregnancy were concerns for 1) safety; 2) nausea; and 3) hunger. The highest ranked support mechanisms were: 1) the ability to choose the eating window; 2) more frequent prenatal visits to ensure the health of the baby; and 3) receiving feedback from a dietician/nutritionist. Women who did not identify as White/Caucasian expressed a higher willingness to try a TRE pattern during pregnancy (P = 0.01). Women who were nulliparous expressed a higher willingness to try a TRE pattern (P = 0.05).Discussion: TRE, an alternative dietary strategy shown to optimize metabolic control, may be effective to prevent and manage pregnancy-related metabolic impairments. To create an effective TRE intervention during pregnancy, the input of pregnant mothers is necessary to increase adherence and acceptability. [ABSTRACT FROM AUTHOR]

Background: Over the past 2 decades, there has been an increased emphasis on added sugars intake in the Dietary Guidelines for Americans (DGA), which has been accompanied by policies and interventions aimed at reducing intake, particularly among children, adolescents, and teens.Objectives: The present study provides a comprehensive time-trends analysis of added sugars intakes and contributing sources in the diets of US children, adolescents, and teens (2-18 years) from 2001-2018, focusing on variations according to sociodemographic factors (age, sex, race and ethnicity, income), food assistance, and health-related factors (physical activity level, body weight status).Methods: Data from 9 consecutive 2-year cycles of the NHANES were combined and regression analyses were conducted to test for trends in added sugars intake and sources from 2001-2018 for the overall age group (2-18 years) and for 2 age subgroups (2-8 and 9-18 years). Trends were also examined on subsamples stratified by sex, race and ethnicity (Hispanic, non-Hispanic Asian, non-Hispanic Black, non-Hispanic White), income (household poverty income ratio), food assistance, physical activity level, and body weight status.Results: From 2001-2018, added sugars intakes decreased significantly (P < 0.01), from 15.6% to 12.6% kcal among children (2-8 years) and from 18.4% to 14.3% kcal among adolescents and teens (9-18 years), mainly due to significant declines in added sugars from sweetened beverages, which remained the top source. Declines in added sugars intakes were observed for all strata, albeit to varying degrees.Conclusions: Declines in added sugars intakes were observed among children, adolescents, and teens from 2001-2018, regardless of sociodemographic factors, food assistance, physical activity level, or body weight status, but variations in the magnitudes of decline suggest persistent disparities related to race and ethnicity and to income. Despite these declines, intakes remain above the DGA recommendation; thus, continued monitoring is warranted. [ABSTRACT FROM AUTHOR]

Background: Adolescents have a higher consumption of sugar-sweetened beverages (SSBs) than other age groups, but little is known of the impact of SSB intake during adolescence on body composition and bone mass in early adulthood.Objectives: Associations of SSB intake from 14 to 20 y with fat, lean, and bone mass at 20 y of age were evaluated.Methods: Study participants were 1137 offspring (562 females) from the Raine Study. Food intake, including SSB consumption in servings/d (1 serving = 250 mL), was estimated using FFQs at 14, 17, and 20 y of age. DXA scanning at 20 y measured whole body fat mass, lean mass, and bone mineral content (BMC). Using latent class growth analysis, 4 SSB intake trajectory classes were identified: consistently low (n = 540, intakes mostly <0.5 serving/d), increasing (n = 65), decreasing (n = 258), and consistently high (n = 274, intakes mostly >1.3 servings/d).Results: Median total SSB intake was 0.8, 0.7, and 0.5 serving/d, and median carbonated SSB intake was 0.3, 0.3, and 0.4 serving/d at 14, 17, and 20 y, respectively. Mean ± SD BMI (in kg/m2) was 23.9 ± 4.2 at 20 y. After adjustment for covariates including sex, demographic, energy intake, and maternal factors, individuals with "consistently high" SSB consumption had significantly higher total body fat mass at 20 y than those with "consistently low" consumption (23.3 ± 0.6 compared with 21.2 ± 0.4 kg, P = 0.004), which remained significant after further adjustment for "Healthy" and "Western" dietary patterns (23.2 ± 0.6 compared with 21.2 ± 0.4 kg, P = 0.011). No significant associations were observed between SSB intake trajectory classes and lean body mass or BMC at 20 y.Conclusions: In this cohort, consistently higher consumption of SSBs in adolescence and early adulthood are associated with increased fat mass but not with bone mass at 20 y of age. [ABSTRACT FROM AUTHOR]

Background: The alleviation of iron deficiency through iron supplementation has not effectively reduced anemia in India, mainly due to low compliance. Food fortification with iron is considered a viable alternative, and the provision of double-fortified salt (DFS; with iron and iodine) has been mandated in public health programs. Limited evidence exists on its benefit-cost ratio.Objective: In this study we sought to estimate the economic benefit in terms of increased wages in relation to introduction of DFS in reduction of anemia and the cost of doing so.Methods: The economic benefit of introducing DFS in India was derived using a series of mathematical, statistical, and econometric models using data from national surveys capturing earnings and dietary iron intake of the population. Anemia status was predicted from data on dietary intake, sanitation, and for women, menstrual losses. The impact of iron deficiency anemia (IDA) on wages was estimated using a Heckman Selection model and 2-stage least squares procedure. Benefit of DFS was estimated through increased wages attributed to anemia reduction compared with its cost.Results: Men and women with IDA had lower wages (by 25.9%, 95% CI: 11.3, 38.1; and by 3.9%, 95% CI: 0.0, 7.7, respectively) than those without IDA. Additional iron intake through DFS was predicted to reduce prevalence of IDA (from 10.6% to 0.7% in men and 23.8% to 20.9% in women). The economic benefit-cost ratio of introducing DFS at a national level was estimated to be 4.2:1.Conclusions: Iron fortification delivered through DFS under a universal program can improve wages and be sufficiently cost-effective for its implementation at scale in India. [ABSTRACT FROM AUTHOR]

Background: Epidemiological findings on dietary fat intake and risk of pancreatic cancer (PanC) are inconsistent.Objectives: This study aimed to determine the association between types of dietary fat intake and PanC.Methods: We conducted a hospital-based case-control study in 957 pathologically confirmed PanC cases and 938 cancer-free controls. Cases and controls were frequency matched by age, sex, and race. Dietary information was collected using a self-administered validated FFQ. Unconditional logistic regression models were used to estimate the ORs and 95% CIs of PanC risk by quintiles of fat intake with the lowest quintile as referent and with adjustment for other risk factors and dietary factors.Results: We observed no difference in (median) intake of total fat standardized for energy among cases versus controls. The multivariable-adjusted OR (95% CI) of the highest versus the lowest quintile of intake (ORQ5 compared with Q1) was 2.51 (1.68-3.72) for fat from animal sources and 0.41 (0.29-0.58) for fat from plant sources. Intakes of total MUFA, total PUFA, and linoleic (n-6) and long chain n-3 fatty acids were inversely associated with PanC (ORQ5 compared with Q1 and 95% CI: 0.55 [0.36-0.82], 0.59 [0.42-0.82], 0.64 [0.43-0.84], and 0.60 [0.42-0.84], respectively). Arachidonic acid (n-6) and several SFAs were positively associated with PanC.Conclusion: Although some observed associations with pancreatic cancer risk could be explained by reverse causation, the potential protective associations with intakes of largely plant-derived PUFAs and MUFAs and fish-derived long chain n-3 PUFAs warrant further prospective investigation. [ABSTRACT FROM AUTHOR]

Background: Choline is an essential nutrient for humans and is involved in various physiologic functions. Through its metabolite betaine, it is closely connected to the one-carbon metabolism, and the fat-soluble choline form phosphatidylcholine is essential for VLDL synthesis and secretion in the liver connecting choline to the lipid metabolism. Dietary recommendations for choline are not available in the Nordic countries primarily due to data scarcity.Objectives: The aim of this study was to investigate the dietary intake of total choline and individual choline forms, dietary sources, and the association of total choline intake with circulating one-carbon metabolites and lipids.Methods: We included 5746 participants in the Hordaland Health Study, a survey including community-dwelling adults born in 1925-1927 (mean age 72 y, 55% women) and 1950-1951 (mean age 48 y, 57% women). Dietary data were obtained using a 169-item FFQ, and choline content was calculated using the USDA Database for Choline Content of Common Foods, release 2. Metabolites of the one-carbon and lipid metabolism were measured in a nonfasting blood sample obtained at baseline, and the association with total choline intake was assessed using polynomial splines.Results: The geometric mean (95% prediction interval) energy-adjusted total choline intake was 260 (170, 389) mg/d, with phosphatidylcholine being the main form (44%). The major food items providing dietary choline were eggs, low-fat milk, potatoes, and leafy vegetables. Dietary total choline was inversely associated with circulating concentrations of total homocysteine, glycine, and serine and positively associated with choline, methionine, cystathionine, cysteine, trimethyllysine, trimethylamine-N-oxide, and dimethylglycine. A weak association was observed between choline intake and serum lipids.Conclusions: Phosphatidylcholine was the most consumed choline form in community-dwelling adults in Norway. Our findings suggest that choline intake is associated with the concentration of most metabolites involved in the one-carbon and lipid metabolism. [ABSTRACT FROM AUTHOR]

Background: There is no consensus on how to define "junk food." In 2016, Chile implemented the most comprehensive set of obesity-preventive regulations in the world, including criteria to define unhealthy foods.Objectives: The objective of this study was to examine the amount of energy, sodium, sugar, and saturated fat consumed by US adults defined as junk food using the Chilean criteria.Methods: We used 2 nationally representative surveys of food intake in 10,001 US adults: NHANES 2015-2016 and NHANES 2017-2018. The main outcome measures were the contributions of energy, total sugars, saturated fat, and sodium deriving from junk food sources. Mean intake and proportion of energy, sugar, saturated fat, and sodium for junk food overall and each food category were calculated.Results: Overall, 47% of energy, 75% of total sugar, 46% of sodium, and 48% of saturated fat consumed by US adults derived from junk food sources. Sugar-sweetened beverages (SSBs) were responsible for more than 40% of total sugar intake deriving from junk foods. Non-Hispanic black adults had the highest mean energy, total sugar, and sodium intake deriving from junk foods, with non-Hispanic white adults having the highest saturated fat intake. Non-Hispanic black adults had the highest intake of total sugar deriving from junk food sources of SSBs (26.7 g/d), with SSBs representing >40% of total sugar intake deriving from junk food sources for all race/ethnic groups.Conclusions: Foods that meet the Chilean criteria for junk food provide approximately half or more daily energy and food components to limit in the diet of US adults, with important differences observed between race/ethnic groups. Policy efforts to reduce junk food intake, particularly the intake of SSBs, must be expanded to improve the cardiometabolic health equitably in the United States. [ABSTRACT FROM AUTHOR]

Background: The challenges of accurate estimation of energy intake (EI) are well-documented, with self-reported values 12%-20% below expected values. New approaches rely on gold-standard assessments of the other components of energy balance, energy expenditure (EE) and energy storage (ES), to estimate EI.Objectives: The purpose of this study was to evaluate the validity, repeatability, and measurement error of consumer devices when estimating energy balance in a free-living population.Methods: Twenty-four healthy adults (14 women, 10 men; mean ± SD age: 30.7 ± 8.2 y) completed two 14-d assessment periods, including assessments of EE and ES using gold-standard [doubly labeled water (DLW) and DXA] and commercial devices [Fitbit Alta HR activity monitor (Alta) and Fitbit Aria wireless body composition scale (Aria)], and of EI by dietician-administered recalls. Accuracy and validity were assessed using Spearman correlation, interclass correlation, mean absolute percentage error, and equivalency testing. We also applied linear measurement error modeling including error in gold-standard devices and within-subject repeated-measures design to calibrate consumer devices and quantify error.Results: There was moderate to strong agreement for EE between the Fitbit Alta and DLW at each time point (rs = 0.82 and 0.66 for Times 1 and 2, respectively). There was weak agreement for ES between the Fitbit Aria and DXA (rs = 0.15 and 0.49 for Times 1 and 2, respectively). Correlations between methods to assess EI ranged from weak to strong, with agreement between the DXA/DLW-calculated EI and dietary recalls being the highest (rs = 0.63 for Time 1 and 0.73 for Time 2). Only EE from the Fitbit Alta at Time 1 was equivalent to the DLW value using equivalency testing.Conclusions: Commercial devices provide estimates of energy balance in free-living adults with varying degrees of validity compared to gold-standard techniques. EE estimates were the most robust overall, whereas ES estimates were generally poor. [ABSTRACT FROM AUTHOR]

Background: Recent studies showed that eating behaviors such as disinhibition, emotional and external eating, and snacking mediate genetic susceptibility to obesity. It remains unknown if diet quality and intake of specific food groups also mediate the genetic susceptibility to obesity.Objective: This study aimed to assess if diet quality and intakes of specific food groups mediate the association between a polygenic risk score (PRS) for BMI and BMI and waist circumference (WC). We hypothesized that poor diet quality, high intakes of energy-dense food groups, and low intakes of nutrient-dense food groups mediate the genetic susceptibility to obesity.Methods: This cross-sectional study included 750 participants (56.3% women, aged 41.5 ± 14.9 y, BMI 27.8 ± 7.5 kg/m2) from the Quebec Family Study. A PRSBMI based on >500,000 genetic variants was calculated using LDpred2. Dietary intakes were assessed with a 3-d food record from which a diet quality score (i.e. Nutrient Rich Food Index 6.3) and food groups were derived. Mediation analyses were conducted using a regression-based and bootstrapping approach.Results: The PRSBMI explained 25.7% and 19.8% of the variance in BMI and WC, respectively. The association between PRSBMI and BMI was partly mediated by poor diet quality (β = 0.33 ± 0.12; 95% CI: 0.13, 0.60), high intakes of fat and high-fat foods (β = 0.46 ± 0.16; 95% CI: 0.19, 0.79) and sugar-sweetened beverages (β = 0.25 ± 0.14; 95% CI: 0.05, 0.60), and low intakes of vegetables (β = 0.15 ± 0.08; 95% CI: 0.03, 0.32), fruits (β = 0.37 ± 0.12; 95% CI: 0.17, 0.64), and dairy products (β = 0.17 ± 0.09; 95% CI: 0.02, 0.37). The same trends were observed for WC.Conclusions: The genetic susceptibility to obesity was partly mediated by poor diet quality and intakes of specific food groups. These results suggest that improvement in diet quality may reduce obesity risk among individuals with high genetic susceptibility and emphasize the need to intervene on diet quality among these individuals. [ABSTRACT FROM AUTHOR]

Background: Both the incidence of diabetes mellitus and consumption of sugar-sweetened beverages are high in the Hispanic/Latino population in the United States. The associations between consumption of sugar-sweetened beverages, artificially sweetened beverages, and 100% fruit juice with prediabetes and glucose metabolism markers in the diverse Hispanic/Latino population in the United States are unknown.Objectives: The objective of this study was to examine the cross-sectional associations between consumption of sugar-sweetened beverages, artificially sweetened beverages, and 100% fruit juice with prediabetes and glucose metabolism markers such as fasting glucose and insulin, 2-h oral-glucose-tolerance test, HOMA-IR, HOMA index for β-cell function (HOMA-B), and glycated hemoglobin (HbA1c) among US Hispanic/Latino adults.Methods: Using baseline data from the Hispanic Community Health Study/Study of Latinos (2008-2011), beverage consumption was ascertained using two 24-h dietary recalls and a food propensity questionnaire. Diabetes/prediabetes status was defined by self-report, antihyperglycemic medication use, and American Diabetes Association laboratory criteria. Among 9965 individuals without diabetes (5194 normoglycemia, 4771 prediabetes) aged 18-74 y, the associations of beverage consumption with prediabetes and glucose metabolism markers were analyzed using logistic and linear regressions, respectively, accounting for complex survey design.Results: Compared with individuals who consumed <1 serving/d (<240 mL/d) of sugar-sweetened beverages, individuals who consumed >2 servings/d (>480 mL/d) had 1.3 times greater odds of having prediabetes (95% CI: 1.06, 1.61) and higher glucose metabolism markers including fasting glucose, fasting insulin, HOMA-IR, and HbA1c. Consumption of artificially sweetened beverages showed an inverse association with β-cell function (HOMA-B). Intake of 100% fruit juice was not significantly associated with prediabetes nor with glucose metabolism markers.Conclusions: Among US Hispanic/Latino adults, higher sugar-sweetened beverage consumption was associated with increased odds of prediabetes and higher glucose metabolism markers. Public health initiatives to decrease sugar-sweetened beverage consumption could potentially reduce the burden of diabetes among Hispanics/Latinos in the United States. [ABSTRACT FROM AUTHOR]

Background: Recent evidence has indicated a greater number of protective factors are associated with a greater decreased risk for depression and depressive symptoms compared with individual factors alone. Moreover, adherence to healthy modifiable lifestyle behaviors may lower the risk of depression regardless of underlying genetic risk.Objectives: We longitudinally evaluated the association of the Mediterranean lifestyle (MEDLIFE) with the risk of depression.Methods: We prospectively analyzed data from 15,279 participants (6089 men and 9190 women, mean age 37 y) in the Seguimiento Universidad de Navarra cohort. The MEDLIFE index is composed of 28 items on food consumption, dietary habits, physical activity, rest, social habits, and conviviality, each of which was assigned 0 or 1 point. Final scores ranged from 0 to 28 points and were categorized into quartiles of MEDLIFE adherence. Cox proportional regression models determined the association of total MEDLIFE adherence, each item, and block with incident depression.Results: After a mean follow-up of 11.7 y, 912 (6%) incident cases of depression were reported. The mean ± SD final score for MEDLIFE adherence was 11.9 ± 2.7 points. The multivariable model showed that compared with the first quartile, the second and third quartiles of MEDLIFE adherence were significantly associated with a decreased relative risk for incident depression (HR: 0.82; 95% CI: 0.69, 0.96 and HR: 0.74; 95% CI: 0.61, 0.89, respectively). The fourth quartile did not show a statistically significant association with incident depression (HR: 0.89; 95% CI: 0.73, 1.09).Conclusions: MEDLIFE adherence may decrease the risk of depression in a Spanish cohort of university graduates. Given no clear association was observed among the highest MEDLIFE adherence, future studies are warranted to better understand the nature of this association. Evidence on MEDLIFE, beyond the Mediterranean diet, may contribute toward more effective prevention strategies for depression. [ABSTRACT FROM AUTHOR]

Background: There is increasing recognition that a morning or evening preference is associated with time of eating, metabolic health, and morbidity. However, few studies have examined the association of time of eating with mortality.Objectives: To examine the association of time of first recalled ingestive episode with the prospective risk of all-cause mortality.Methods: We used mortality-linked data from the NHANES conducted in 1988-1994 and 1999-2014 (n = 34,609; age ≥ 40 years). The exposure was quartiles (Q1-Q4) of clock time of first eating episode self-reported in the baseline 24-hour dietary recall. The outcome was follow-up time from the date of NHANES examination to the date of death or end of the follow-up period (31 December 2015). We used proportional hazards regression methods to determine the independent association of time of first eating episode with relative hazard of all-cause mortality, with adjustments for multiple covariates and the complex survey design. Multiple linear regression methods were used to examine the associations of time of first eating episode with baseline cardiometabolic biomarkers and dietary attributes.Results: In this national cohort, with a median age of ∼55 years (95% CI: 54.6-55.4 years) at baseline and a median follow-up of 8.3 years (IQR, 8.75 years), there were 10,303 deaths. The median times of first eating episodes in Q1-Q4 were 05:45, 07:00, 08:00, and 10:00, respectively. Covariate-adjusted relative hazards of mortality in Q1 to Q3 of the time of the first eating episode were 0.88 (95% CI: 0.81-0.96), 0.88 (95% CI: 0.81-0.95), 0.94 (95% CI: 0.87-1.02), with Q4 as the referent (P = 0.0008). Qualitative dietary attributes were inversely related with the time of the first eating episode; however, BMI and serum concentrations of glycemic biomarkers increased with later times of first eating episode (P ≤ 0.0001).Conclusions: Recall of an earlier time of the first eating episode by ≥40-year-old US participants was suggestive of a small relative survival advantage in this observational study. [ABSTRACT FROM AUTHOR]

Background: Both fresh and processed foods are available in the modern food environment where taste can signal presence of nutrients. However, whether these taste-nutrient relationships are maintained across different degrees of food processing is not well understood, and less is known about the relative contribution of different taste qualities to population energy intakes.Objectives: To investigate the association between perceived intensity of 6 taste modalities and a food's nutrient content in the context of food processing and to further examine the relative contribution of different taste clusters to total energy intakes, stratified by weight status.Methods: Diet and lifestyle data from the Singapore Multi-Ethnic Cohort Phase 2 (N = 7011; aged 21-75 y) were collected through interviewer-administrated questionnaires. Taste and nutrient profiles for each of the 269 Singaporean foods were derived using a published taste database and food composition table. Each food was then categorized into the NOVA food-processing classification (unprocessed, processed, ultra-processed) to compare the strength of taste-nutrient relationships. Multivariable-adjusted models were used to examine associations between relative consumption of foods from different taste clusters and processing categories, energy intake, and BMI (in kg/m2) within a population cohort.Results: Sweet taste and mono- and disaccharide content of foods were significantly associated across all processing categories, although this association was weaker among ultra-processed foods (UPFs) (r = 0.42) than among unprocessed foods (r = 0.72). In contrast, associations between fat sensation and fat content (r = 0.74), as well as salt taste and sodium content (r = 0.84), were stronger for UPFs. Individuals who had higher energy intakes or were overweight (BMI >23) derived significantly greater percentage of energy from processed foods rather than UPFs, and this energy was higher from "savory-fatty" and lower from "neutral" tasting foods than those with lower energy intakes and normal weight (all P < 0.001). Eighty percent of individuals' dietary energy was from both "savory-fatty" and "neutral" foods, independent of differences in total energy intake and weight status.Conclusions: Taste-nutrient relationships are maintained across different degrees of food processing. Greater consumption of foods that have a high "savory-fatty" taste was associated with increased energy intakes and overweight in the Asian population. [ABSTRACT FROM AUTHOR]

Background: Sarcopenia, a progressive loss of skeletal muscle mass and strength, can begin in the 4th decade of life. Protein intake predicts skeletal muscle mass and strength among older adults, but knowledge of similar associations among middle-aged adults is lacking.Objectives: We aimed to assess associations between protein intake and skeletal muscle mass, characterized by appendicular lean mass adjusted for BMI [in kg/m2 (ALMBMI)], and muscle strength, represented by handgrip strength adjusted for BMI (GSMAXBMI), among middle-aged adults.Methods: We analyzed cross-sectional data from 1209 men and 1208 women aged 40-59 y in the 2011-2014 NHANES. Protein intake per kilogram actual body weight (BW), assessed by two 24-h recalls, was examined as continuous and categorical parameters [low (Results: Among middle-aged adults, 15.6% of men and 13.4% of women had low lean mass and 3.5% of men and 2.3% of women exhibited weakness. Protein intakes per kilogram BW were positively associated with ALMBMI and GSMAXBMI among men and women after adjustment for age, race/Hispanic origin, physical activity, and self-rated health. Compared with the moderate protein group, the high protein group had a higher GSMAXBMI and the low protein group had a lower GSMAXBMI among men and women. The low protein group had a lower ALMBMI (women) and had a higher OR for low lean mass (men) compared with the moderate protein group.Conclusions: Higher protein intakes were associated with greater ALMBMI and GSMAXBMI in this representative sample of US middle-aged adults. Our findings highlight the need for further research on dietary protein as a potential modifying factor of sarcopenia risk in middle age. [ABSTRACT FROM AUTHOR]

Background: In many low- and middle-income countries, the prevalence of energy and nutrient deficiencies is high among pregnant women. Balanced energy-protein (BEP) supplements are a promising strategy to cover nutritional requirements during pregnancy and improve birth outcomes. However, the displacement of nutrient-dense foods by BEP might attenuate the efficacy of supplementation.Objective: This cross-sectional study of participants in a randomized controlled trial evaluated the difference in energy and macro- and micronutrient intakes, food groups, and nutrient adequacy between a control and intervention group receiving either a daily iron-folic acid (IFA) tablet or IFA and BEP supplement during pregnancy, respectively.Methods: We collected a single multiple-pass 24-h recall from 470 pregnant women from the MIcronutriments pour la SAnté de la Mère et de l'Enfant (MISAME) III study that investigates the efficacy of BEP supplementation on birth outcomes and infant growth. Dietary intake (median and IQR) and nutrient adequacy were assessed using individual recipes and preparation methods of mixed dishes for each participant. Linear regression models were fitted to compare energy and nutrient intakes.Results: Dietary energy, and macro- and micronutrient intakes were significantly higher among women in the intervention group when including BEP [2329 kcal/d (1855, 3008 kcal/d) compared with 1942 kcal/d (1575, 2405 kcal/d) in the control group (all P < 0.001)]. The difference in median energy intake (448 kcal/d; 95% CI: 291, 605 kcal/d) was approximately equivalent to a daily dose of the BEP supplement (393 kcal). Nutrient adequacy ratios for both groups were low for all micronutrients (between 0.02 and 0.66), when excluding BEP (except iron and folic acid, due to standard supplemental doses) from analysis. However, nutrient intakes increased to the Estimated Average Requirement for pregnant women when including BEP supplements.Conclusions: BEP supplementation increases energy and macro- and micronutrient intakes among pregnant women and fills nutrient gaps without displacing food intake. This trial was registered at clinicaltrials.gov as NCT03533712 (https://clinicaltrials.gov/ct2/show/NCT03533712). [ABSTRACT FROM AUTHOR]

Background: Nutrition in early childhood is important for healthy growth and development. Achieving school readiness is considered one of the most important developmental milestones for young children.Objectives: The purpose of this study is to determine if nutritional risk in early childhood is associated with school readiness in kindergarten.Methods: A prospective cohort study was conducted through The Applied Research Group for Kids (TARGet Kids!) primary care research network in Toronto, Canada, 2015-2020. Nutritional risk was measured (18 mo to 5 y) using validated parent-completed questionnaires called Nutrition Screening for Toddlers and Preschoolers (NutriSTEP). High nutritional risk was categorized as scores ≥21. School readiness was measured using the validated teacher-completed Early Developmental Instrument (EDI), which measures 5 developmental domains in kindergarten (2 y of schooling, ages 4-6 y, before they enter grade 1). Vulnerability indicates scores lower than a population-based cutoff at the 10th percentile on at least 1 domain. Multiple logistic and linear regression models were conducted adjusting for relevant confounders.Results: The study included 896 children: 53% were male, 9% had high nutritional risk, and 17% were vulnerable on the EDI. A 1-SD increase in NutriSTEP total score was associated with 1.54 times increased odds of being vulnerable on the EDI among children in year 2 of kindergarten (P = 0.001). High nutritional risk cutoff was associated with 4.28 times increased odds of being vulnerable on the EDI among children in year 2 of kindergarten (P < 0.001). NutriSTEP total score and high nutritional risk were associated with lower scores on all 5 EDI domains, with the strongest association observed for the domains of language and cognitive development and communication skills and general knowledge.Conclusions: Higher nutritional risk in early childhood is associated with lower school readiness in year 2 of kindergarten. Nutritional interventions early in life may offer opportunities to enhance school readiness. This trial was registered www.clinicaltrials.gov as NCT01869530. [ABSTRACT FROM AUTHOR]

Background: Measurement of the 24-h urinary iodine concentration or urinary iodine excretion (UIE) is the gold standard to determine iodine status; however, this method is inconvenient. The use of salivary iodine could be a possible alternative since salivary glands express the sodium-iodine symporter.Objectives: We aimed to establish the correlation between the salivary iodine secretion and UIE, to evaluate the clinical applicability of the iodine saliva measurement.Methods: We collected 24-h urine and saliva samples from 40 participants ≥18 y: 20 healthy volunteers with no specific diet (group 1), 10 patients with differentiated thyroid cancer with a low dietary intake (<50 μg/d, group 2), and 10 patients with a high iodine status as the result of the use of amiodarone (group 3). Urinary and salivary iodine were measured using a validated inductively coupled plasma MS method. To correct for differences in water content, the salivary iodine concentration (SIC) was corrected for salivary protein and urea concentrations (SI/SP and SI/SU, respectively). The intra- and inter-individual CVs were calculated, and the Kruskal-Wallis test and Spearman's correlation were used.Results: The intra-individual CVs for SIC, SI/SP, and SI/SU were 63.8%, 37.7%, and 26.9%, respectively. The inter-individual CVs for SIC, SI/SP, and SI/SU were 77.5%, 41.6% and 47.0%, respectively. We found significant differences (P < 0.01) in urinary and salivary iodine concentrations between all groups [the 24-h UIE values were 176 μg/d (IQR, 96.1-213 μg/d), 26.0 μg/d (IQR, 22.0-37.0 μg/d), and 10.0*103 μg/d (IQR, 7.57*103-11.4*103 μg/d) in groups 1-3, respectively; the SIC values were 136 μg/L (IQR, 86.3-308 μg/L), 71.5 μg/L (IQR, 29.5-94.5 μg/L), and 14.3*103 μg/L (IQR, 10.6*103-25.6*103 μg/L) in groups 1-3, respectively]. Correlations between the 24-h UIE and SIC, SI/SP, and SI/SU values were strong (ρ = 0.80, ρ = 0.90, and ρ = 0.86, respectively; P < 0.01).Conclusions: Strong correlations were found between salivary and urinary iodine in adults with different daily iodine intakes. A salivary iodine measurement can be performed to assess the total iodine body pool, with the recommendation to correct for salivary protein or urea. [ABSTRACT FROM AUTHOR]

Background: Vegetarian-type dietary patterns have been associated with reducing the risk of developing diabetes and may function as an effective strategy for diabetes management.Objectives: We aimed to examine the associations between adherence to plant-based diet indices and the risk of developing diabetes in the Boston Puerto Rican Health Study.Methods: Puerto Rican adults (n = 646), aged 45-75 y and free of diabetes at baseline, were included. Dietary intake was assessed via a validated FFQ. Three plant-based dietary indices were calculated: an overall plant-based diet index (PDI), a healthful plant-based diet index (hPDI), and an unhealthful plant-based diet index (uPDI). Incident diabetes was defined as fasting plasma glucose ≥ 126 mg/dL (7.0 mmol/L), glycated hemoglobin ≥ 6.5% (48 mmol/mol), or use of hypoglycemic agents during follow-up. Cox proportional hazards were used to evaluate associations between the dietary patterns and incidence of diabetes, adjusting for potential confounders, such as age, sex, socioeconomic status, lifestyle factors, obesity, total energy intake, depressive symptomatology, and plasma concentrations of lipids.Results: During a mean of 4.2 y of follow-up, we identified 134 diabetes cases. After adjustment for covariates, higher hPDI was associated with lower risk of developing diabetes (adjusted HR for the highest compared with the lowest tertile: 0.54; 95% CI: 0.31, 0.94; P-trend = 0.03). In contrast, the PDI and uPDI were not significantly associated with the risk of diabetes (P-trend > 0.3 for both).Conclusions: The healthful plant-based dietary index, but not the total plant-based dietary index, was inversely associated with diabetes risk. These findings suggest that the quality of plant-based diets must be considered when recommending plant-based diets for the prevention of diabetes.This trial was registered at clinicaltrials.gov as NCT01231958. [ABSTRACT FROM AUTHOR]

Background: Dietary inequities in childhood may shape dietary and health inequities across the life course. Quantifying the magnitude and direction of trends in absolute and relative gaps and gradients in diet quality according to multiple indicators of socioeconomic position (SEP) can inform strategies to narrow these inequities.Objectives: We examined trends in absolute and relative gaps and gradients in diet quality between 2004 and 2015 according to 3 indicators of SEP among a nationally representative sample of children in Canada.Methods: Data from children (aged 2-17 y; n = 18,670) who participated in the cross-sectional Canadian Community Health Survey-Nutrition in 2004 or 2015 were analyzed. SEP was based on total household income, household educational attainment, and neighborhood deprivation. Dietary intake data from 1 interviewer-administered 24-h dietary recall were used to derive a Healthy Eating Index-2015 (HEI-2015) score for each participant as a measure of diet quality. Inequities in diet quality were quantified using 4 indices: absolute and relative gaps (between highest and lowest SEP) and absolute (Slope Index of Inequality) and relative gradients (Relative Index of Inequality). Overall and age-stratified multivariable linear regression and generalized linear models examined trends in HEI-2015 scores between 2004 and 2015.Results: Although mean HEI-2015 total scores improved from 52.3 to 57.3 (maximum 100 points; P < 0.001), absolute and relative gaps and gradients in diet quality remained mostly stable for all 3 SEP indicators. However, among children aged 6-11 y, absolute and relative gradients in diet quality according to household educational attainment and neighborhood deprivation widened.Conclusions: The diet quality of children in Canada was poor and inequitably patterned in 2004 and 2015. Although mean diet quality improved between 2004 and 2015, absolute and relative gaps and gradients in diet quality persisted, with some evidence of widening absolute and relative gradients among 6- to 11-y-olds. [ABSTRACT FROM AUTHOR]

Background: Where families eat together from a common dish, the shared meal must be nutrient dense enough in each nutrient to meet the needs of the highest-need member.Objectives: This study aimed to develop an aggregate household nutrient requirement benchmark that satisfies all members' needs in a context in which meals are shared and to illustrate how that metric could inform food and nutrition policy making.Methods: We merged nationally representative survey data for Malawi in 2010, 2013, and 2016-2017 with individual nutrient requirements and local food composition data to compute the adequacy of each household's aggregate consumption given its demographic composition and primary occupation. To meet each person's nutrient needs at any level of energy balance, the nutrient density of their shared diet needs to be within boundaries of the most restrictive member. We classified the adequacy of each household's diet using these energy-adjusted densities and examined differences by sociodemographic characteristics.Results: Accounting for meal sharing and nutrient density needs of the highest-need member, virtually all households' food consumption is insufficiently nutrient dense in riboflavin, selenium, lipids, and vitamin B-12, and most consumption is insufficiently nutrient dense in zinc and phosphorus as well. Meeting needs of women, adolescent girls, and young children using shared diets would on average require 145% more iron, 98% more zinc, and approximately 70% more phosphorus and vitamin C than if their needs were met with individualized diets.Conclusions: Establishing shared nutrient requirements is feasible using existing survey data and can help set sufficiency criteria in settings in which families share meals. In Malawi, current diets and food composition are inadequate for many nutrients, especially in households with more women and adolescent girls. The results call for concerted investment to increase access to and use of more nutrient-dense foods. [ABSTRACT FROM AUTHOR]

Background: Higher ultra-processed food intake has been linked with several cardiometabolic and cardiovascular diseases. However, prospective evidence from US populations remains scarce.Objectives: To test the hypothesis that higher intake of ultra-processed foods is associated with higher risk of coronary artery disease.Methods: A total of 13,548 adults aged 45-65 y from the Atherosclerosis Risk in Communities study were included in the analytic sample. Dietary intake data were collected through a 66-item FFQ. Ultra-processed foods were defined using the NOVA classification, and the level of intake (servings/d) was calculated for each participant and divided into quartiles. We used Cox proportional hazards models and restricted cubic splines to assess the association between quartiles of ultra-processed food intake and incident coronary artery disease.Results: There were 2006 incident coronary artery disease cases documented over a median follow-up of 27 y. Incidence rates were higher in the highest quartile of ultra-processed food intake (70.8 per 10,000 person-y; 95% CI: 65.1, 77.1) compared with the lowest quartile (59.3 per 10,000 person-y; 95% CI: 54.1, 65.0). Participants in the highest compared with lowest quartile of ultra-processed food intake had a 19% higher risk of coronary artery disease (HR: 1.19; 95% CI: 1.05, 1.35) after adjusting for sociodemographic factors and health behaviors. An approximately linear relation was observed between ultra-processed food intake and risk of coronary artery disease.Conclusions: Higher ultra-processed food intake was associated with a higher risk of coronary artery disease among middle-aged US adults. Further prospective studies are needed to confirm these findings and to investigate the mechanisms by which ultra-processed foods may affect health. [ABSTRACT FROM AUTHOR]

Background: Studies in women of European descent showed an inverse association of dietary vitamin A (retinol and carotenoids) intake with breast cancer risks, mainly in premenopausal women.Objectives: We examined whether higher compared with lower levels of dietary vitamin A are associated with reduced breast cancer risks among Black women by estrogen receptor (ER) and menopausal statuses.Methods: In this pooled analysis, data were from 3564 breast cancer cases and 11,843 controls (mean ages = 56.4 and 56.3 years, respectively) in the African American Breast Cancer Epidemiology and Risk (AMBER) Consortium. Dietary intake was assessed by FFQs. Multivariable logistic regressions were performed to estimate ORs and 95% CIs for study-specific quintiles of total vitamin A equivalents and individual carotenoids, and a pooled OR was estimated by a random-effect model.Results: We observed an inverse association of total vitamin A equivalents with ER-positive breast cancer (quintiles 5 compared with 1: pooled OR: 0.82; 95% CI: 0.67-1.00; P-trend = 0.045). The association was seen among premenopausal women (pooled OR: 0.60; 95% CI: 0.43-0.83; P-trend = 0.004), but not among postmenopausal women (pooled OR: 0.99; 95% CI: 0.77-1.28; P-trend = 0.78). Additionally, there were inverse associations of dietary β-carotene (quintiles 5 compared with 1: pooled OR: 0.70; 95% CI: 0.51-0.95; P-trend = 0.08) and lutein (pooled OR: 0.63; 95% CI: 0.45-0.87; P-trend = 0.020) with ER-positive breast cancer among premenopausal women. There was no evidence for an association of total vitamin A equivalents or individual carotenoids with ER-negative breast cancer, regardless of menopausal status.Conclusions: Our findings on dietary vitamin A and breast cancer risks in Black women are consistent with observations in women of European descent and advance the literature showing an inverse association for ER-positive disease. [ABSTRACT FROM AUTHOR]

Background: Plant-based diets (PBDs) are typically recommended to those at risk of type 2 diabetes mellitus (T2DM).Objectives: We examined how including eggs, compared with excluding them from PBDs, affected cardiometabolic risk factors in adults at risk of T2DM.Methods: This was a randomized, controlled, single-blind, crossover trial of 35 adults (mean age: 60.7 y; 25 women, 10 men) at risk of T2DM assigned to 1 of 2 sequence permutations of 2 dietary treatments (plant-based plus eggs, and exclusively plant-based), with a 4-wk washout period. A dietitian counseled participants to exclude or include 2 eggs daily in the context of PBDs for a 6-wk interval. Our primary outcome measure was endothelial function (EF) measured as flow-mediated dilatation. Secondary outcome measures included lipid profile, blood pressure, insulin sensitivity, anthropometry, and dietary intake. Data were analyzed using generalized linear models.Results: Compared with egg exclusion, egg inclusion in the context of PBDs did not adversely affect EF (-1.7% ± 6.5% compared with -1.8% ± 7.5%; P = 0.9805). Likewise, egg inclusion, compared with egg exclusion, did not adversely affect (P = 0.1096-0.9781) lipid profile, blood pressure, insulin sensitivity, or anthropometry. Egg inclusion, compared with egg exclusion, improved reported intakes of selenium (23.1 ± 30.3 μg/d compared with 2.3 ± 34.9 μg/d; P = 0.0124) and choline (172.0 ± 96.0 mg/d compared with -3.4 ± 68.1 mg/d; P < 0.0001).Conclusions: Consuming 2 eggs daily in the context of PBDs does not adversely affect cardiometabolic risk factors among adults at risk of T2DM. Eggs could be used as an adjuvant to enhance PBDs that are typically recommended for those at risk of T2DM.This trial was registered at clinicaltrials.gov as NCT04316429. [ABSTRACT FROM AUTHOR]

Background: The HEALTHY Study was a multicomponent school-based intervention, designed to prevent type 2 diabetes mellitus (T2DM) in middle-school students.Objectives: We examined whether the difference in dietary magnesium intake, BMI percentile, and plasma glucose and insulin concentrations from 6th to 8th grade were related in the intervention schools and in the control schools that participated in the HEALTHY Study.Methods: A total of 2181 ethnically diverse students, from 11.3 to 13.7 y of age, with completed dietary records, BMI percentile, and plasma glucose and insulin concentrations at 6th and 8th grades were included. Dietary magnesium intake was self-reported using the Block Kids FFQ. A hierarchical multiple regression model was used to determine whether the differences in dietary magnesium intake, BMI percentile, and plasma glucose and insulin concentrations from 6th to 8th grades were related, while adjusting for dietary calcium intake and total energy intake.Results: The difference in dietary magnesium intake was significantly related to changes in BMI percentile from 6th to 8th grade in intervention and in control schools [intervention: β: -0.07; 95% CI: -0.58, -0.02; P = 0.03; R2 (regression coefficient effect size): 0.14; 95% CI for R2: 0.10, 0.17; control: β: -0.08; 95% CI: -0.63, -0.09; P = 0.01; R2: 0.12; 95% CI for R2: 0.08, 0.15]. The difference in dietary magnesium intake was not related to plasma glucose and insulin concentrations in intervention and in control schools.Conclusions: We conclude that a multicomponent intervention was associated with reduced risk of T2DM, and that this association may be modulated, in part, by magnesium. The differences in dietary magnesium intake from 6th to 8th grade were negatively related to changes in BMI percentile among middle-school students. [ABSTRACT FROM AUTHOR]

Background: Inadequate or excessive intake of micronutrients in pregnancy has potential to negatively impact maternal/offspring health outcomes.Objective: The aim was to compare risks of inadequate or excessive micronutrient intake in diverse females with singleton pregnancies by strata of maternal age, race/ethnicity, education, and prepregnancy BMI.Methods: Fifteen observational cohorts in the US Environmental influences on Child Health Outcomes (ECHO) Consortium assessed participant dietary intake with 24-h dietary recalls (n = 1910) or food-frequency questionnaires (n = 7891) from 1999-2019. We compared the distributions of usual intake of 19 micronutrients from food alone (15 cohorts; n = 9801) and food plus dietary supplements (10 cohorts with supplement data; n = 7082) to estimate the proportion with usual daily intakes below their age-specific daily Estimated Average Requirement (EAR), above their Adequate Intake (AI), and above their Tolerable Upper Intake Level (UL), overall and within sociodemographic and anthropometric subgroups.Results: Risk of inadequate intake from food alone ranged from 0% to 87%, depending on the micronutrient and assessment methodology. When dietary supplements were included, some women were below the EAR for vitamin D (20-38%), vitamin E (17-22%), and magnesium (39-41%); some women were above the AI for vitamin K (63-75%), choline (7%), and potassium (37-53%); and some were above the UL for folic acid (32-51%), iron (39-40%), and zinc (19-20%). Highest risks for inadequate intakes were observed among participants with age 14-18 y (6 nutrients), non-White race or Hispanic ethnicity (10 nutrients), less than a high school education (9 nutrients), or obesity (9 nutrients).Conclusions: Improved diet quality is needed for most pregnant females. Even with dietary supplement use, >20% of participants were at risk of inadequate intake of ≥1 micronutrients, especially in some population subgroups. Pregnancy may be a window of opportunity to address disparities in micronutrient intake that could contribute to intergenerational health inequalities. [ABSTRACT FROM AUTHOR]

Background: Severely energy-restricted diets that utilize meal-replacement products are the most effective dietary treatment for obesity. However, there are concerns they may fail to educate individuals on how to adopt a healthy food-based diet after weight loss.Objectives: The aim of this research was to compare changes in diet quality following total meal replacement compared with food-based weight-loss diets.Methods: In this secondary analysis of a randomized controlled trial, 79 postmenopausal women aged 45-65 y, with a BMI (in kg/m2) of 30-40, were randomly assigned to either a total meal-replacement diet (energy intake restricted by 65-75% relative to requirements) for 16 wks, followed by a food-based diet (energy intake restricted by 25-35% relative to requirements) until 52 wks, or the food-based diet for the entire 52-wk period. Diet quality was scored at baseline and 52 wks using the Healthy Eating Index for Australian Adults, with score changes compared between groups using an independent t test.Results: Diet quality improved from baseline in both groups, but less so in the total meal-replacement group, with a mean (SD) increase of 3.6 (10.8) points compared with 11.8 (13.9) points in the food-based group, resulting in a mean between-group difference of -8.2 (P = 0.004; 95% CI: -13.8, -2.7) points. This improvement in diet quality within both groups was mostly driven by a reduction in the intake of discretionary foods. Intake remained below the recommendations at 52 wks for 4 of the 5 food groups in both dietary interventions.Conclusions: In postmenopausal women with obesity, weight-loss interventions that involve either a total meal-replacement diet or a food-based diet both improve diet quality, however, not sufficiently to meet recommendations. This highlights the importance of addressing diet quality as a part of all dietary weight-loss interventions. This trial is registered with the Australia and New Zealand Clinical Trials Registry as 12612000651886. [ABSTRACT FROM AUTHOR]

Background: Acute hyperglycemia reduces NO bioavailability and causes macro- and microvascular dysfunction. Watermelon juice (WMJ) is a natural source of the amino acid citrulline, which is metabolized to form arginine for the NO cycle and may improve vascular function.Objectives: We examined the effects of 2 weeks of WMJ compared to a calorie-matched placebo (PLA) to attenuate acute hyperglycemia-induced vascular dysfunction.Methods: In a randomized, placebo-controlled, double-blind, crossover trial, 6 men and 11 women (aged 21-25; BMI, 23.5 ± 3.2 kg/m2) received 2 weeks of daily WMJ (500 mL) or a PLA drink followed by an oral-glucose-tolerance test. Postprandial flow-mediated dilation (FMD) was measured by ultrasound (primary outcome), while postprandial microvascular blood flow (MVBF) and ischemic reperfusion were measured by near-infrared spectroscopy (NIRS) vascular occlusion test (VOT).Results: The postprandial FMD area AUC was higher after WMJ supplementation compared to PLA supplementation (838 ± 459% · 90 min compared with 539 ± 278% · 90 min; P = 0.03). The postprandial MVBF (AUC) was higher (P = 0.01) following WMJ supplementation (51.0 ± 29.1 mL blood · 100 mL tissue-1 · min-1 · 90 min) compared to the PLA (36.0 ± 20.5 mL blood · 100 mL tissue-1 · min-1 · 90 min; P = 0.01). There was a significant treatment effect (P = 0.048) for WMJ supplementation (71.2 ± 1.5%) to increase baseline tissue oxygen saturation (StO2%) when compared to PLA (65.9 ± 1.7%). The ischemic-reperfusion slope was not affected by WMJ treatment (P = 0.83).Conclusions: Two weeks of daily WMJ supplementation improved FMD and some aspects of microvascular function (NIRS-VOT) during experimentally induced acute hyperglycemia in healthy adults. Preserved postprandial endothelial function and enhanced skeletal muscle StO2% are likely partially mediated by increased NO production (via citrulline conversion into arginine) and by the potential antioxidant effect of other bioactive compounds in WMJ. [ABSTRACT FROM AUTHOR]