Add like
Add dislike
Add to saved papers

Changes in the configuration and patterns of physical activity among Mongolian adults, 2005-2013.

Objective: This study examined the change in physical activity status and patterns and their associations with urban and rural residence and employment status in Mongolia. Methods: We analyzed data from 7,738 adults aged from 20 to 64 years (n = 2,877 and 4,861 for 2005 and 2013, respectively) from the Mongolian STEPS Survey on the Prevalence of Non-Communicable Disease Risk Factors (NCD-STEPS survey). Physical activity in three domains, including work (occupational and household work); transport (walk or cycling); and leisure (sport or fitness) was measured by Global Physical Activity Questionnaire (GPAQ). Physical activity levels were classified into three groups: low, moderate, and high according to the GPAQ analysis framework. The associations between physical activity time, residential area, and employment status were examined using a multivariate negative binomial regression model. Results: The percentage of respondents with low-level physical activity increased from 10.9% in 2005 to 27.2% in 2013. The median minutes of physical activity time per week were 1,020 in 2005 and 600 in 2013. Physical activity time at work, transport and overall decreased in 2013. Work-related physical activity was the most dominant component of physical activity time (55.6% in 2005 and 54.6% in 2013), the transport domain was the second-highest contributor of physical activity time in 2005 (24.0%) and was replaced by the leisure domain (26.8%) in 2013. Rural residents practiced more physical activity at work, transport, and leisure than urban residents did in 2005 (prevalence ratio [PR]: 1.33, 95% confidence interval [CI]: 1.20-1.47; PR: 1.21, 95%CI: 1.14-1.29; and PR: 1.21, 95%CI: 1.13-1.30, respectively), but there was no significant difference by residential area in 2013. Mongolian adults with higher educational attainment, employee status, and non-employment status were less likely to engage in physical activity compared to those among adults with lower educational attainment and self-employed status.

Full text links

We have located links that may give you full text access.
Can't access the paper?
Try logging in through your university/institutional subscription. For a smoother one-click institutional access experience, please use our mobile app.

Related Resources

For the best experience, use the Read mobile app

Mobile app image

Get seemless 1-tap access through your institution/university

For the best experience, use the Read mobile app

All material on this website is protected by copyright, Copyright © 1994-2024 by WebMD LLC.
This website also contains material copyrighted by 3rd parties.

By using this service, you agree to our terms of use and privacy policy.

Your Privacy Choices Toggle icon

You can now claim free CME credits for this literature searchClaim now

Get seemless 1-tap access through your institution/university

For the best experience, use the Read mobile app