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87 results for “dietary pattern”
Data from: Associations of bone mineral density with lean mass, fat mass, and dietary patterns in postmenopausal Chinese women: a 2-year prospective study
Objective: To assess factors associated with bone mineral density (BMD) in postmenopausal women in a longitudinal study, and to examine the relative contribution of lean mass, fat mass, dietary patterns, and years since menopause to BMD. Methods: Two hundred and eighty-two postmenopausal women were randomly selected from Hongqi Community Health Center, in Harbin City, China. All participants were followed up from 2009 to 2011. Dietary data were collected using a Food Frequency Questionnaire. BMD of the left hip, the lumbar spine, and the total body, and the body composition were measured by dual-energy X-ray absorptiometry at baseline and follow-up. Results: Lean mass and fat mass were positively associated with BMD of the spine, hip, and the total body at both baseline and follow-up. The association between fat mass and BMD at the spine at baseline (P = 0.210) and at the spine (P = 0.116) and hip (P = 0.073) in the second year was not statistically significant when height was adjusted. Six dietary patterns were identified but only cereal grains-fruits pattern (P = 0.001 in the spine, P = 0.037 in hip) and milk-root vegetables pattern (P = 0.010 in hip) were associated with BMD of the spine and hip. The linear mixed model of follow-up data showed that lean mass, years since menopause, and age of menophania were the significant determinants of BMD of all sites. Moreover, lean mass was the best determinant of BMD (VIP = 1.936). Conclusion: Lean mass, years since menopause, age of menophania and dietary patterns are the important determinants of BMD of the spine, hip, and the total body. Lean mass is the best determinant of BMD.
Dietary Patterns and Health Outcomes (Cardiovascular, Metabolic, Endocrine, Neurological, Skeletal Muscular, Cancer)
ClinicalTrials.gov study NCT03328546. IPD Sharing: NO. Countries: 0. Publications: 10.
Dietary Patterns and Risk of Cardiovascular Disease
ClinicalTrials.gov study NCT00005514. IPD Sharing: Not stated. Countries: 0. Publications: 15.
Metabolomics of the Dietary Approaches to Stop Hypertension (DASH) Dietary Pattern
ClinicalTrials.gov study NCT03403166. IPD Sharing: NO. Countries: 0. Publications: 6.
Dietary Patterns, Metabolomics and Colorectal Cancer Risk
ClinicalTrials.gov study NCT03364582. IPD Sharing: NO. Countries: 0. Publications: 4.
Dietary Patterns, Sodium Intake and Blood Pressure (DASH - Sodium)
ClinicalTrials.gov study NCT00000608. IPD Sharing: Not stated. Countries: 0. Publications: 35.
Data from: Associations of bone mineral density with lean mass, fat mass, and dietary patterns in postmenopausal Chinese women: a 2-year prospective study
Open the record for dataset details and reuse information.
Western and Heart Healthy Dietary Patterns Differentially Affect the Expression of Genes Associated with Lipid Metabolism, Interferon Signaling and Inflammation in the Jejunum of Ossabaw Pigs
GEO Series GSE160426. Sus scrofa. 29 samples. Type: Expression profiling by high throughput sequencing.
Differential regulation of brain microvessel transcriptome and brain metabolome by Western and heart-healthy dietary patterns in Ossabaw pig
GEO Series GSE263935. Sus scrofa. 30 samples. Type: Expression profiling by high throughput sequencing.
Effect of dietary n-3 PUFA supplementation and post-insemination plane of nutrition on global gene expression patterns in bovine uterine endometrial tissue
GEO Series GSE141937. Bos taurus. 60 samples. Type: Expression profiling by high throughput sequencing.
A Western Dietary Pattern and Atorvastatin Induce Epicardial Adipose Tissue Interferon Signaling in the Ossabaw Pig
GEO Series GSE129301. Sus scrofa. 27 samples. Type: Expression profiling by high throughput sequencing.
A Western-type Dietary Pattern Induces an Atherogenic Gene Expression Profile in the Coronary Arteries of the Ossabaw Pig
GEO Series GSE129300. Sus scrofa. 15 samples. Type: Expression profiling by high throughput sequencing.
Determining the Link Between Dietary Patterns, Fecal Microbiome and Response to Neoadjuvant Chemotherapy
ClinicalTrials.gov study NCT06595160. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Linking Dietary Nutrition, Dietary Patterns, Gut Microbiota, and Bone Density: A Cross-Sectional Study
ClinicalTrials.gov study NCT07256314. IPD Sharing: NO. Countries: 1. Publications: 0.
Effects of a Legume-rich Diet in the Context of the Planetary Health Diet Compared to a Western-oriented Dietary Pattern in Participants with Increased Cardiometabolic Risk
ClinicalTrials.gov study NCT06700954. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Study of Dietary Patterns and Food Diversity in Russian GERD Patients
ClinicalTrials.gov study NCT04252144. IPD Sharing: YES. Countries: 1. Publications: 0.
Evaluation of the Nutritional Status of Omega-3 Fatty Acids and the Possible Influences of Dietary Patterns and Different Socioeconomic Factors, in a Spanish Population Over 60 Years of Age
ClinicalTrials.gov study NCT06916455. IPD Sharing: YES. Countries: 1. Publications: 0.
Specific Dietary Pattern for Crohn's Disease Patients Following Surgery
ClinicalTrials.gov study NCT05502965. IPD Sharing: NO. Countries: 1. Publications: 0.
Influence of Chrono-nutrition Factors and Temporal Dietary Patterns on Glycemic Parameters During Pregnancy.
ClinicalTrials.gov study NCT06215352. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Different Dietary Patterns
ClinicalTrials.gov study NCT06147440. IPD Sharing: NO. Countries: 1. Publications: 0.
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Allen Brain Atlas
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International Brain Laboratory public data
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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.