Validating a widely used measure of frailty: are all sub-components necessary? Evidence from the Whitehall II cohort study

Age (Dordr). 2013 Aug;35(4):1457-65. doi: 10.1007/s11357-012-9446-2. Epub 2012 Jul 8.

Abstract

There is growing interest in the measurement of frailty in older age. The most widely used measure (Fried) characterizes this syndrome using five components: exhaustion, physical activity, walking speed, grip strength, and weight loss. These components overlap, raising the possibility of using fewer, and therefore making the device more time- and cost-efficient. The analytic sample was 5,169 individuals (1,419 women) from the British Whitehall II cohort study, aged 55 to 79 years in 2007-2009. Hospitalization data were accessed through English national records (mean follow-up 15.2 months). Age- and sex-adjusted Cox models showed that all components were significantly associated with hospitalization, the hazard ratios (HR) ranging from 1.18 (95 % confidence interval = 0.98, 1.41) for grip strength to 1.60 (1.35, 1.90) for usual walking speed. Some attenuation of these effects was apparent following mutual adjustment for frailty components, but the rank order of the strength of association remained unchanged. We observed a dose-response relationship between the number of frailty components and the risk for hospitalization [1 component-HR = 1.10 (0.96, 1.26); 2-HR = 1.52 (1.26, 1.83); 3-5-HR = 2.41 (1.84, 3.16), P trend <0.0001]. A concordance index used to evaluate the predictive power for hospital admissions of individual components and the full scale was modest in magnitude (range 0.57 to 0.58). Our results support the validity of the multi-component frailty measure, but the predictive performance of the measure is poor.

Publication types

  • Comparative Study
  • Research Support, N.I.H., Extramural
  • Research Support, Non-U.S. Gov't
  • Validation Study

MeSH terms

  • Adult
  • Aged
  • Aged, 80 and over
  • Aging / physiology*
  • Confidence Intervals
  • Disabled Persons / statistics & numerical data*
  • Female
  • Frail Elderly / statistics & numerical data*
  • Geriatric Assessment / methods*
  • Humans
  • Incidence
  • Male
  • Middle Aged
  • Military Personnel*
  • Prognosis
  • Proportional Hazards Models
  • United Kingdom / epidemiology
  • Walking / physiology*
  • Weight Loss