Journal
PLOS ONE
Volume 13, Issue 8, Pages -Publisher
PUBLIC LIBRARY SCIENCE
DOI: 10.1371/journal.pone.0202222
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Funding
- Miguel Servet contract [CP13/00150, PI15/00862]
- ISCIII General Branch Evaluation and Promotion of Health Research
- European Regional Development Fund (ERDF-FEDER)
- National Institute for Health Research Collaboration for Leadership in Applied Health Research & Care Funding scheme
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Background Sedentary behavior (SB) is associated with adverse health outcomes independent of levels of physical activity. However, data on its correlates are scarce from low- and middle-income countries (LMICs). Thus, we assessed the correlates of SB in six LMICs (China, Ghana, India, Mexico, Russia, South Africa) using nationally representative data. Methods Cross-sectional, community-based data on 42,469 individuals aged <= 18 years from the World Health Organization's Study on Global Ageing and Adult Health were analyzed. Self-reported time spent sedentary per day was the outcome. High SB was defined as <= 8 hours of SB per day. The correlates (sociodemographic and health-related) of high SB were estimated by multivariable logistic regression analyses. Results The overall prevalence (95%CI) of high SB was 8.3% (7.1-9.7%). In the overall sample, the most important sociodemographic correlates of high SB were unemployment and urban residence. Physical inactivity, morbid obesity (BMI <= 30.0 kg/m(2)), higher number of chronic conditions, poor self-reported health, higher disability levels, and worse health status in terms of mobility, pain/discomfort, affect, sleep/energy and cognition were associated with high SB. Several between-country differences were found. Conclusion The current data provides important guidance for future interventions across LMICs to assist sedentary people to reduce their SB levels.
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