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87 results for “dietary pattern”
Data and code for 'Food insecurity and patterns of dietary intake in a sample of UK adults'
<p>Data and code for ' <strong>Food insecurity and patterns of dietary intake in a sample of UK adults</strong>' by Shinwell et al.</p> <p>For the UK data, the script 'analysis UK dataset.r' is required along with the csv data file.</p> <p>For the NHANES data analyses, the user needs to:</p> <p>a) Download the required 2013-4 NHANES data files as described at https://zenodo.org/record/3361283</p> <p>b) Run the script 'merging.script.r' from https://zenodo.org/record/3361283</p> <p>c) Using the resulting .csv file in conjunction with the script 'analysis NHANES dataset.r' to reproduce the analyses in the paper.</p> <p>The reason for doing it this indirect way is that the raw NHANES data are not ours to share.</p>
Seasonal patterns of dietary partitioning in vertebrates
<p>Dietary partitioning plays a central role in biological communities, yet the extent of partitioning often varies dramatically over time. Food availability may drive temporal variation in dietary partitioning, but alternative paradigms offer contrasting predictions about its effect. We compiled estimates of dietary overlap between co-occurring vertebrates to test whether partitioning is greater during periods of high or low food abundance. We found that dietary partitioning was generally greatest when food abundance was low, suggesting that competition for limited food drives partitioning. The extent of dietary partitioning in birds and mammals was also related to seasonality in primary productivity. As seasonality increased, partitioning increased during the nonbreeding season for birds and the breeding season for mammals. Although some hypotheses invoke changes in dietary breadth to explain temporal variation in dietary partitioning, we found no association between dietary breadth and partitioning. These results have important implications for the evolution of dietary divergence.</p>
Climate-driven dietary change on the Colorado Plateau, USA and implications for gender-specific foraging patterns
<p>Complementary archaeological and paleoenvironmental datasets from North Creek Shelter (Colorado Plateau, Utah, USA) are analyzed using the diet breadth model, revealing human dietary patterns during the early and middle Holocene. Abundance indices are derived from botanical and faunal datasets and along with stone tools, are used to test the prediction that increasing aridity caused the decline of high-return resources. This prediction appears valid with respect to botanical resources, as high-ranked plants drop out of the diet after 9800 cal BP and replaced with low-ranked, small seeds. The prediction is not met, however, with respect to faunal resources: high-ranked artiodactyls are consistently abundant in the diet. The effects of climate change on dietary choices are also examined, finding that increased aridity coincides with greater use of small seeds and ground stone tools, but not with increases in low-ranked fauna, such as leporids. The patterns observed from the North Creek Shelter botanical and faunal datasets may reflect different foraging strategies between men and women, thus accounting for the discrepancy that low-ranked plant resources became increasingly abundant in the diet without a corresponding decrease in abundance of high-ranked artiodactyls. If so, then archaeological records with similar datasets should be re-examined with this perspective.</p>
Maximizing the Dietary Pattern of Older Adults: the Effects of Protein Intake on Protein Kinetics
ClinicalTrials.gov study NCT04830514. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Low-Carbohydrate Dietary Pattern on Glycemic Outcomes Trial
ClinicalTrials.gov study NCT03675360. IPD Sharing: NO. Countries: 1. Publications: 2.
Umbrella Review of the DASH Dietary Pattern and Cardiometabolic Risk
ClinicalTrials.gov study NCT03542370. IPD Sharing: NO. Countries: 1. Publications: 7.
Meta-analysis of the Portfolio Dietary Pattern and Cardiometabolic Risk
ClinicalTrials.gov study NCT03534414. IPD Sharing: NO. Countries: 1. Publications: 5.
DNA metabarcoding reveals wolf dietary patterns in the northern Alps and Jura mountains
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Seasonal patterns of dietary partitioning in vertebrates
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Data from: Metabarcoding reveals the dietary patterns of bats within a unique European habitat, the pasture‐dominated landscapes of Ireland
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Climate-driven dietary change on the Colorado Plateau, USA and implications for gender-specific foraging patterns
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Data from: Dietary patterns during adulthood and cognitive performance in midlife: the CARDIA study
Objective: To investigate whether dietary patterns (Mediterranean diet (MedDiet), Dietary Approaches to Stop Hypertension (DASH) and A Priori Diet Quality Score (APDQS)) during adulthood are associated with better midlife cognitive performance. Methods: We studied 2,621 CARDIA participants: 45% black, 57% female, and age 25±3.5 years at baseline (1985-6). Diet scores were calculated from repeated diet history up to year 20. Linear models were used to examine association between tertiles of diet score and year 25 to 30 change in standardized test scores for verbal learning (RAVLT), processing speed (Digit Symbol Substitution Test (DSST)) and executive function (Stroop Interference), and Montreal Cognitive Assessment (MoCA) at year 30. Results: Higher scores in all three diets were associated with less decline in verbal memory (all P<0.01). Higher DASH and APDQS scores were associated with less decline on DSST (DASH: low= -0.05, mid= -0.00, high= 0.06; APDQS: low= -0.07, mid= -0.01, high= 0.07, both PTrend=0.02). Higher MedDiet and APDQS scores were associated with less decline on Stroop interference (MedDiet: low=0.10, mid=-0.06, high=-0.03 and APDQS: low=0.11, mid=0.01, high=-0.10, both PTrend<0.01). Odds ratios (95% confidence interval) for poor global cognitive function (≥1 SD below mean MoCA) comparing extreme tertiles of the three dietary scores were 0.45 (0.33-0.62) for MedDiet, 0.38 (0.26-0.54) for APDQS and 0.88 (0.68-1.15) for DASH. Conclusions: Greater adherence to heart-healthy dietary patterns during adulthood was associated with better midlife cognitive performance. Additional studies are needed to define the combination of foods and nutrients for optimal brain health across the life-course.
Molecular subtypes and dietary patterns in breast cancer patients: a latent class analysis
<p>Molecular subtypes and dietary patterns in breast cancer patients: a latent class analysis</p>
Dietary Pattern and Metabolic Health Study
ClinicalTrials.gov study NCT03856762. IPD Sharing: Not stated. Countries: 1. Publications: 3.
Association Between Dietary Pattern and Glycemic Control Among Type 2 Diabetes Patients in the Unites Arab Emirates
ClinicalTrials.gov study NCT03388229. IPD Sharing: NO. Countries: 1. Publications: 1.
Sukalmena InAge: Nutritional-culinary Programme to Promote Adherence to a Healthy Dietary Pattern.
ClinicalTrials.gov study NCT04908163. IPD Sharing: NO. Countries: 1. Publications: 5.
Cardiovascular Risk Prevention With a Mediterranean Dietary Pattern Reduced in Saturated Fat
ClinicalTrials.gov study NCT05778656. IPD Sharing: UNDECIDED. Countries: 1. Publications: 17.
Gender Differences in Dietary Patterns and Physical Activity: A PCA Approach
ClinicalTrials.gov study NCT06654674. IPD Sharing: UNDECIDED. Countries: 1. Publications: 3.
Salad Bars in the National School Lunch Program: Impact on Dietary Consumption Patterns in Elementary School Students
ClinicalTrials.gov study NCT05605483. IPD Sharing: NO. Countries: 1. Publications: 2.
Ketogenic Dietary Patterns in Young Adults and Kidney Health
ClinicalTrials.gov study NCT05350657. IPD Sharing: Not stated. Countries: 1. Publications: 7.
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International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.