Prevalence and 10-year outcomes of frailty in older adults in relation to deficit accumulation

J Am Geriatr Soc. 2010 Apr;58(4):681-7. doi: 10.1111/j.1532-5415.2010.02764.x. Epub 2010 Mar 22.


Objectives: To evaluate the prevalence and 10-year outcomes of frailty in older adults in relation to deficit accumulation.

Design: Prospective cohort study.

Setting: The National Population Health Survey of Canada, with frailty estimated at baseline (1994/95) and mortality follow-up to 2004/05.

Participants: Community-dwelling older adults (N=2,740, 60.8% women) aged 65 to 102 from 10 Canadian provinces. During the 10-year follow-up, 1,208 died.

Measurements: Self-reported health information was used to construct a frailty index (Frailty Index) as a proportion of deficits accumulated in individuals. The main outcome measure was mortality.

Results: The prevalence of frailty increased with age in men and women (correlation coefficient=0.955-0.994, P<.001). The Frailty Index estimated that 622 (22.7%, 95% confidence interval (CI)=21.0-24.4%) of the sample was frail. Frailty was more common in women (25.3%, 95% CI=23.2-27.5%) than in men (18.6%, 95% CI=15.9-21.3%). For those aged 85 and older, the Frailty Index identified 39.1% (95% CI=31.3-46.9%) of men as frail, compared with 45.1% (95% CI=39.7-50.5%) of women. Frailty significantly increased the risk of death, with an age- and sex-adjusted hazard ratio for the Frailty Index of 1.57 (95% CI=1.41-1.74).

Conclusion: The prevalence of frailty increases with age and at any age lessens survival. The Frailty Index approach readily identifies frail people at risk of death, presumably because of its use of multiple health deficits in multidimensional domains.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Age Distribution
  • Aged
  • Aged, 80 and over
  • Analysis of Variance
  • Canada / epidemiology
  • Chi-Square Distribution
  • Comorbidity
  • Disabled Persons / statistics & numerical data*
  • Female
  • Frail Elderly / statistics & numerical data*
  • Geriatric Assessment / methods
  • Health Status*
  • Health Surveys
  • Humans
  • Logistic Models
  • Male
  • Mortality / trends*
  • Prevalence
  • Prospective Studies
  • ROC Curve
  • Risk Assessment
  • Severity of Illness Index*
  • Sex Distribution
  • Statistics, Nonparametric
  • Survival Analysis