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Correlates of sedentary behavior in the general population: A cross-sectional study using nationally representative data from six low- and middle-income countries.


ABSTRACT:

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/m2), 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.

SUBMITTER: Koyanagi A 

PROVIDER: S-EPMC6086470 | biostudies-literature | 2018

REPOSITORIES: biostudies-literature

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Publications

Correlates of sedentary behavior in the general population: A cross-sectional study using nationally representative data from six low- and middle-income countries.

Koyanagi Ai A   Stubbs Brendon B   Vancampfort Davy D  

PloS one 20180810 8


<h4>Background</h4>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.<h4>Methods</h4>Cross-sectional, community-based data on 42,469 individuals aged ≥18 years from the World Health Organization's Study on Gl  ...[more]

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