Sociodemographic, Health and Lifestyle, Sampling, and Mental Health Determinants of 24-Hour Motor Activity Patterns: Observational Study is a research paper published in Journal of Medical Internet Research (2020). On theSindex it has a DataRank of 0. It has been cited 25 times.
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Intramural NIH HHS
Grant: ZIA MH002954
European Commission
Grant: 334065
Bringing the field of psychiatry forward: Unraveling heterogeneity of Depression
National Institutes of Health
Grant: 1ZIAMH002954-07
Motor Activity Research Consortium for Health (mMarch)
FWCI
1.05
Citation Percentile
0.7%
Citation Trend
Fields of Study
MeSH Terms
Keywords
Sustainable Development Goals
Additional file 1 of U.S. Adolescent Rest-Activity patterns: insights from functional principal component analysis (NHANES 2011–2014)
Additional file 1 of U.S. Adolescent Rest-Activity patterns: insights from functional principal component analysis (NHANES 2011–2014)
Additional file 1 of Association between circadian physical activity patterns and mortality in the UK Biobank
Additional file 1 of Association between circadian physical activity patterns and mortality in the UK Biobank
Additional file 1 of Twenty-four-hour physical activity patterns associated with depressive symptoms: a cross-sectional study using big data-machine learning approach
Additional file 1 of Twenty-four-hour physical activity patterns associated with depressive symptoms: a cross-sectional study using big data-machine learning approach
Additional file 2 of Twenty-four-hour physical activity patterns associated with depressive symptoms: a cross-sectional study using big data-machine learning approach
Additional file 2 of Twenty-four-hour physical activity patterns associated with depressive symptoms: a cross-sectional study using big data-machine learning approach