Correlates of US adult physical activity and sedentary behavior patterns. Issue 12 (December 2016)

• Record Type: Journal Article
• Authors: Jones, Sydney A.; Wen, Fang; Herring, Amy H.; Evenson, Kelly R.
• Is Part Of: Journal of science and medicine in sport. Volume 19:Issue 12(2016)
• Page Start: 1020
• Page End: 1027
• Publication Date: 2016-12
• Subjects: Accelerometry -- Motor activity -- Latent class analysis -- Surveillance -- Weekend warrior; Sports sciences -- Periodicals; Sports medicine -- Periodicals; Exercise -- Physiological aspects -- Periodicals; Sports -- physiology -- Periodicals; Sports Medicine -- Periodicals; Sportgeneeskunde; 617.102705
• DOI: 10.1016/j.jsams.2016.03.009
• Languages: English
• ISSNs: 1440-2440

Abstract

Abstract: Objectives: Physical activity and sedentary behavior patterns may be differentially associated with socio-demographic and health measures. We explored correlates of day-to-day patterns over a week in accelerometer measured physical activity and sedentary behavior to inform intervention development. Design: Cross-sectional study. Methods: National Health and Nutrition Examination Survey (NHANES) adult participants (≥20 years) in 2003–2006 wore an accelerometer for 1 week. Accelerometer data from 7236 participants were used to derive latent classes describing day-to-day patterns over a week of physical activity and sedentary behavior. Correlates of each pattern were identified using multinomial logistic regression from 21 potential variables grouped into four domains: socio-demographic, acculturation, cardiovascular, and health history. Results: Older age, female sex, higher body mass index, and history of chronic disease were consistently associated with lower odds of being in a more active compared to the least active class. In contrast, being employed, speaking Spanish at home, and having better self-rated health were associated with higher odds of being in a more active compared to the least active class. Conclusions: Correlates of physical activity and sedentary behavior patterns were identified from all domains (socio-demographic, acculturation, cardiovascular, and health history). Most correlates that were positively associated with physical activity were negatively associated with sedentary behavior. Better understanding of the correlates of physical activity and sedentary behavior patterns can inform interventions to promote physical activity and reduce sedentary behavior.