Prevalence of Disability among the Chinese Older Population: A Systematic Review and Meta-Analysis

Int J Environ Res Public Health. 2022 Jan 31;19(3):1656. doi: 10.3390/ijerph19031656.

Abstract

Background: Disability is an important problem in aging societies globally. However, the research findings of the prevalence of disability have been inconsistent. This study aims to estimate the prevalence of disability and its influencing factors among the Chinese older population from 1979 to 31 July 2021.

Methods: A systematic review and meta-analysis were conducted using both international (PubMed, Web of Science, CBMdisc, PsycINFO, the Cochrane Library, and EMBASE) and Chinese (CNKI, CQVIP, and WanFang) databases. Meta-analysis was performed using a random-effects model to account for heterogeneity. Subgroup analyses were also done.

Results: The pooled prevalence of disability across all 97 studies was 26.2% (95% CI: 23.7-28.6%). The estimates varied according to the types of activities of daily living (ADL), gender, age, and region. Studies based on the identification of cases by using the complete ADL scale showed a higher prevalence than those using the basic ADL scale. The prevalence was slightly higher among female older individuals than among male older individuals. The highest rates were seen in older individuals aged 80 years or older. Elders in central China, southwest China, and northwest China were more likely to be BADL-disabled.

Conclusion: Prevalence of disability among the Chinese older population is high, around 26%. Using standardized diagnostic systems to correctly estimate the prevalence of disability would be helpful for public health professionals in China.

Keywords: Chinese; activities of daily living; disability; meta-analysis; older population; prevalence.

Publication types

  • Meta-Analysis
  • Research Support, Non-U.S. Gov't
  • Review
  • Systematic Review

MeSH terms

  • Activities of Daily Living*
  • Aged
  • Aged, 80 and over
  • Asian People
  • China / epidemiology
  • Disabled Persons*
  • Female
  • Humans
  • Male
  • Prevalence