Temporal physical activity patterns are associated with obesity in U.S. adults-Reference-Cited by-同舟云学术

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Temporal physical activity patterns are associated with obesity in U.S. adults

Published:2021-07 Issue: Volume:148 Page:106538
ISSN:0091-7435
Container-title:Preventive Medicine
language:en
Short-container-title:Preventive Medicine

Author:

Aqeel Marah,Guo Jiaqi,Lin Luotao,Gelfand Saul,Delp Edward,Bhadra Anindya,Richards Elizabeth A.,Hennessy Erin,Eicher-Miller Heather A.

Funder

National Cancer Institute

Purdue University

National Institutes of Health

Publisher

Elsevier BV

Subject

Public Health, Environmental and Occupational Health,Epidemiology

Reference66 articles.

1. NCEP-defined metabolic syndrome, diabetes, and prevalence of coronary heart disease among NHANES III participants age 50 years and older;Alexander;Diabetes,2003

2. Comparison between the effect of 6 weeks of morning or evening aerobic exercise on appetite and anthropometric indices: a randomized controlled trial;Alizadeh;Clin. Obes.,2017

3. Diagnosis and classification of diabetes mellitus;American Diabetes Association;Diabetes Care,2014

4. Temporal dietary patterns are associated with obesity in US adults;Aqeel;J Nutr.,2020

5. Physical inactivity, abdominal obesity and risk of coronary heart disease in apparently healthy men and women;Arsenault;Int. J. Obes.,2010

Cited by 12 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Examining physical activity clustering using machine learning revealed a diversity of 24-hour step-counting patterns;Journal of Activity, Sedentary and Sleep Behaviors;2024-08-12

2. Clustering temporal step-counting patterns for 24 hours with machine learning revealed potential heterogeneity in the categorization by a traditional tertile procedure;2024-07-01

3. Twenty-four-hour physical activity patterns associated with depressive symptoms: a cross-sectional study using big data-machine learning approach;BMC Public Health;2024-05-07

4. Deep learning of movement behavior profiles and their association with markers of cardiometabolic health;BMC Medical Informatics and Decision Making;2024-03-13

5. Twenty-four-hour activity-count behavior patterns associated with depressive symptoms: Cross-sectional study by a big data-machine learning approach;2024-02-12

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