Scholarlink

Background <p>Physical inactivity remains a global concern. Understanding population-level physical activity (PA) trends is essential for evidence-based policy-making.</p> Methods <p>Repeated cross-sectional analysis was conducted using the five waves (2011–2020) of data from the China Health and Retirement Longitudinal Study. PA was assessed by the International Physical Activity Questionnaire. PA sources (job demands, entertainment, exercise, and others) were assessed since 2013. Age- and sex-standardized prevalence was calculated. Log-binomial regression was performed to explore associated factors.</p> Results <p>Among Chinese adults ≥ 45 years, weekly exercise participation nearly doubled from 22.6% (2013) to 43.9% (2020). Job-related PA declined but remained the major source of moderate-to-vigorous PA. Insufficient PA prevalence demonstrated slight fluctuations, bottoming at 19.6% in 2018 between 2011 (23.9%) and 2020 (22.2%), with significant reductions in adults ≥ 75 years (-12.7%), females (-5.8%), urban residents (-5.5%), hypertension (-4.1%) or diabetes (-9.7%) groups. By 2020, insufficient PA was more prevalent among adults ≥ 75 years (41%, PR: 2.06, 95% CI: 1.65 to 2.57), individuals with low socioeconomic status (SES) (PR: 1.41, 95% CI: 1.26 to 1.59), rural residents (PR: 1.13, 95% CI: 1.01 to 1.26), and individuals with dyslipidemia (PR:1.12, 95% CI: 1.00 to 1.24).</p> Conclusion <p>Our study provides national updated evidence showing exercise participation doubled among middle and older Chinese, yet insufficient PA remained stable over the past decade, which is likely attributable to reductions in job-related PA. In the context of rapid lifestyle and societal changes, future policies and intervention programs need to co-target exercise and varied PA domains and prioritize high-risk populations, including advanced age seniors, rural residents, and low SES groups, to alleviate inequities.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Changing patterns and associated factors of exercise participation and physical activity levels among middle-aged and older adults from 2011-2020 in China

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2025年11月29日

查看全文
  • Nan Hua,
  • Xinxia Zhang,
  • Feitong Wu,
  • Yunmei Yang,
  • Qin Zhang,
  • Jing Chen

摘要

Background

Physical inactivity remains a global concern. Understanding population-level physical activity (PA) trends is essential for evidence-based policy-making.

Methods

Repeated cross-sectional analysis was conducted using the five waves (2011–2020) of data from the China Health and Retirement Longitudinal Study. PA was assessed by the International Physical Activity Questionnaire. PA sources (job demands, entertainment, exercise, and others) were assessed since 2013. Age- and sex-standardized prevalence was calculated. Log-binomial regression was performed to explore associated factors.

Results

Among Chinese adults ≥ 45 years, weekly exercise participation nearly doubled from 22.6% (2013) to 43.9% (2020). Job-related PA declined but remained the major source of moderate-to-vigorous PA. Insufficient PA prevalence demonstrated slight fluctuations, bottoming at 19.6% in 2018 between 2011 (23.9%) and 2020 (22.2%), with significant reductions in adults ≥ 75 years (-12.7%), females (-5.8%), urban residents (-5.5%), hypertension (-4.1%) or diabetes (-9.7%) groups. By 2020, insufficient PA was more prevalent among adults ≥ 75 years (41%, PR: 2.06, 95% CI: 1.65 to 2.57), individuals with low socioeconomic status (SES) (PR: 1.41, 95% CI: 1.26 to 1.59), rural residents (PR: 1.13, 95% CI: 1.01 to 1.26), and individuals with dyslipidemia (PR:1.12, 95% CI: 1.00 to 1.24).

Conclusion

Our study provides national updated evidence showing exercise participation doubled among middle and older Chinese, yet insufficient PA remained stable over the past decade, which is likely attributable to reductions in job-related PA. In the context of rapid lifestyle and societal changes, future policies and intervention programs need to co-target exercise and varied PA domains and prioritize high-risk populations, including advanced age seniors, rural residents, and low SES groups, to alleviate inequities.