2011-2018CLHLS
Description
The data for this study come from the the Chinese Longitudinal Healthy Longevity Survey (CLHLS), the largest cohort study of the elderly population in China, organised by the Centre for Healthy Ageing and Development at Peking University and the National Institute for Development Research. The CLHLS covered 23 provinces, municipalities, and autonomous regions, with a cumulative total of 113,000 household interviews, and randomly selected about half of the cities and counties as research sites in the 22 research provinces (excluding Hainan Province). The survey was approved by the Institutional Review Board of Peking University(IRB00001052-13074). All participants or their legal representatives provided written informed consent.
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We employed a sample comprising individuals aged 60 and above from the 2011 follow-up study, and all participants underwent subsequent evaluations in 2014 and 2018, with continuous monitoring extending until their demise, loss of follow-up, or the culmination of the study. Participants lacking complete records or surviving ≤3 months were excluded from the analysis.The final sample size for analysis is 7,035 . Participant demographics were analyzed across subgroups of physical activity using chi-square tests and ANOVA. We employed Cox proportional hazards models to examine the relationship between physical activity, WWI, and all-cause mortality.The result was expressed as hazard ratios (HR) and 95% confidence intervals (CI).To account for potential confounders, we established three models: Model 1 was unadjusted; Model 2 was adjusted for age, sex, residence, educational background, and marital status; and Model 3 was further adjusted for age, sex, educational background, marital status, alcohol consumption, smoking status, Self-assessment of health, medical insurance, and socioeconomic status.The restricted cubic spline (RCS) curves were employed to analyse the non-linear relationship between physical activity and all-cause mortality, and similarly between WWI and all-cause mortality; and finally, mediating effect analysis was conducted to explore the mechanism of WWI's role in the relationship between physical activity and survival status. All statistical analyses were performed using Stata(version 17), R (version 4.3.2) or Zstats (https://www.medsta.cn/).