Combined Healthy Lifestyle Behaviors and Disability-Free Survival: the Ohsaki Cohort 2006 Study

J Gen Intern Med. 2019 Sep;34(9):1724-1729. doi: 10.1007/s11606-019-05061-z. Epub 2019 May 29.

Abstract

Background: Previous studies have suggested that a healthy lifestyle (HL) may prolong the years of life spent in good health. However, the impact of HL on disability-free survival (DFS) among the elderly is still uncertain.

Objective: To investigate the relationship between HL and DFS in the general elderly population.

Design: Prospective cohort study with a 10-year follow-up (2006-2016).

Participants: 9910 community-dwelling elderly people (≥ 65 years).

Main measures: A HL index derived by summing the number of HL behaviors. Data on incident disability were retrieved from the public Long-term Care Insurance database. Multivariate-adjusted 50th percentile differences (PDs) in age at disability or death (months) and their 95% CIs were estimated with the Laplace regression model.

Key results: During the 10 years, 4562 disability or death events occurred. Participants who adhered to all three HL behaviors lived 17.1 (95% CI 12.7, 21.5) months longer without disability than those who adhered to zero or one. Each 1-point increase of the index score conferred 8.8 months additional life without disability. The tendency for the 50th PDs to increase with a higher HL index score did not differ according to age (< 75 or ≥ 75 years), sex, or the presence of chronic conditions (none, or ≥ 1 chronic condition).

Conclusions: A combination of HL behaviors may substantially increase DFS, even for late-elderly (≥ 75 years), or elderly people with chronic conditions.

Keywords: disability; epidemiology; gerontology; health behavior.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Aged
  • Aged, 80 and over
  • Cohort Studies
  • Female
  • Follow-Up Studies
  • Healthy Lifestyle*
  • Humans
  • Independent Living / trends*
  • Japan / epidemiology
  • Male
  • Persons with Disabilities*
  • Prospective Studies
  • Surveys and Questionnaires*
  • Survival Analysis