Level of physical activity among middle-aged and older Chinese people: evidence from the China health and retirement lon
- PDF / 1,018,400 Bytes
- 13 Pages / 595.276 x 790.866 pts Page_size
- 92 Downloads / 268 Views
RESEARCH ARTICLE
Open Access
Level of physical activity among middleaged and older Chinese people: evidence from the China health and retirement longitudinal study Xiaowei Li1†, Wanda Zhang1†, Weiya Zhang2,3, Ke Tao1, Wenli Ni4, Kai Wang1, Zhanglai Li1, Qiang Liu1* and Jianhao Lin1*
Abstract Background: With data from different regions accumulated, physical inactivity (PI) was found to be pandemic worldwide. Using China Health and Retirement Longitudinal Study (CHARLS), a nationwide longitudinal survey data, we aimed to delineate the prevalence, incidence and risk factors of physical inactivity (PI) among Chinese people aged 45 years and older. Methods: The CHARLS covered nearly all provinces, autonomous regions, municipalities of mainland China. With data from CHARLS, three cross-sectional analyses and a cohort analysis were conducted. In cross-sectional studies, we used surveys at 2011, 2013 and 2015 to examine the prevalence and its trend of PI. Multivariate generalized linear model was conducted in survey at 2011 to examine the risk factors for prevalent PI. Multiple imputation of missing values was used and results before and after imputation were compared. In cohort analysis, we identified people free of PI at 2011 and followed them up until 2015 to estimate the incidence of PI. Generalized estimating equation was used to examine the risk factors associated with incidence PI. In all analyses, PI was defined as insufficient physical activity according to the International Physical Activity Questionnaire (IPAQ) criterion. Results: 6650, 5946 and 9389 participants were eligible for cross-sectional analyses, and 4525 participants were included for cohort analysis. The weighted prevalence of PI was 22.25% (95% CI: 20.63–23.95%) in 2011, 20.64% (95% CI: 19.22–22.14%) in 2013 and 19.31% (95% CI: 18.28–20.38%) in 2015. In multivariate analysis, PI was associated with older age, higher education, overweight, obesity and difficulties in daily living, and was negatively associated with working and higher level of expenditure. No material change was detected in results after multiple imputation. In cohort analysis, older age, abundant public facilities, difficulties in daily living were identified as risk factors of incidence PI, while urban areas, college and above education, and working were protective factors. (Continued on next page)
* Correspondence: [email protected]; [email protected] Funded by National Natural Science Foundation of China (NSFC), Grant No: 81902247 † Xiaowei Li and Wanda Zhang contributed equally to this work. 1 Peking University People’s Hospital, No. 11 Xizhimen South Street, Xicheng District, Beijing 100044, CN, China Full list of author information is available at the end of the article © The Author(s). 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source,
Data Loading...
