Exploring factors influencing visual disability in the elderly population of China: A nested case-control investigation

J Glob Health. 2023 Nov 15:13:04142. doi: 10.7189/jogh.13.04142.

Abstract

Background: Factors influencing visual disability among the elderly in China remain largely unclear. We sought to determine the prevalence and identify risk factors for visual disability among older adults in China.

Methods: We employed a nested case-control study design, utilising data from the China Health and Retirement Longitudinal Study (CHARLS) collected between 2011 and 2018. Cases and controls were matched by a ratio of 1:3 by age and sex. Conditional logistic regression identified factors associated with visual disability.

Results: Prior to data matching, the cohort comprised 4729 complete samples, with 785 (16.6%) newly diagnosed cases of visual disability during the follow-up period. Following matching, 3132 subjects remained, with 783 in the case group and 2349 in the control group. Factors associated with the occurrence of visual disability in the elderly included per capita family income (odds ratio (OR) = 0.98; 95% confidence interval (CI) = 0.97-0.99), adequate sleep (OR = 0.75; 95% CI = 0.63-0.90), cognitive function (OR = 0.98; 95% CI = 0.96-0.99), heart disease (OR = 1.51; 95% CI = 1.20-1.89), kidney disease (OR = 1.45; 95% CI = 1.05-1.98), depression (OR = 1.04; 95% CI = 1.03-1.06), history of falls (OR = 1.34; 95% CI = 1.09-1.65), and cataracts (OR = 2.71; 95% CI = 1.81-4.07).

Conclusions: Visual disability among the elderly in China remains a major concern. Per capita family income, adequate sleep, and cognitive function are protective factors, while heart disease, kidney disease, depression, history of falls, and cataracts are risk factors. Future efforts in preventing and treating visual disability in the elderly should target these high-risk factors and provide early interventions to this population.

MeSH terms

  • Aged
  • Case-Control Studies
  • Cataract* / epidemiology
  • China / epidemiology
  • Disabled Persons*
  • Humans
  • Longitudinal Studies
  • Retirement