Poor self-rated health predicts the incidence of functional disability in elderly community dwellers in Japan: a prospective cohort study

BMC Geriatr. 2020 Sep 7;20(1):328. doi: 10.1186/s12877-020-01743-0.

Abstract

Background: Although previous large population studies showed elderly with poor self-rated health (SRH) to be at a high risk of functional disability in Western countries, there have been few studies in which the association between SRH and functional disability was investigated in Japanese community dwellers. The association between SRH and functional disability, defined as certification of the long-term care insurance (LTCI) system, in Japanese elderly community dwellers was examined in this study.

Methods: A total of 10,690 individuals (39.5% men, mean age of 71.4 years) who were 65 years of age or more who did not have a history of cardiovascular disease or LTCI certification were followed in this prospective study for 10.5 years. SRH was classified into four categories: good, rather good, neither good nor poor, and poor. A Cox proportional-hazards model was used to determine the hazard ratios (HRs) for the incidence of functional disability among the SRH groups for each sex.

Results: The number of individuals with functional disability was 3377. Men who rated poor for SRH scored significantly higher for functional disability (HR [95% confidence interval]: poor = 1.74 [1.42, 2.14]) while women who rated rather good, neither good nor poor, and poor scored significantly higher for functional disability (rather good =1.12 [1.00, 1.25], neither good nor poor = 1.29 [1.13, 1.48], poor = 1.92 [1.65, 2.24]: p for trend < 0.001 in both sexes).

Conclusion: Self-rated health, therefore, might be a useful predictor of functional disability in elderly people.

Keywords: Aged; Functional disability; Japan; Long-term care insurance; Self-rated health; Subjective health.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Aged
  • Female
  • Health Status*
  • Humans
  • Incidence
  • Japan / epidemiology
  • Male
  • Proportional Hazards Models
  • Prospective Studies