Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2009 Jan-Mar;35(1):61-82.
doi: 10.1080/03610730802545051.

Change in frailty and risk of death in older persons

Affiliations

Change in frailty and risk of death in older persons

A S Buchman et al. Exp Aging Res. 2009 Jan-Mar.

Abstract

The authors developed and validated a continuous composite measure of frailty and examined its rate of change in 832 older persons with annual evaluations for up to 8 years. In generalized estimating equation models adjusted for age, sex, and education, there was a significant increase in frailty during follow-up. In a proportional hazards model controlling for age, sex, education, and baseline frailty, each 1-unit increase in annual change in frailty was associated with an almost 5 times the risk of mortality. Using a continuous measure, the authors document that frailty is progressive in some older persons and that its rate of progression is associated with mortality.

PubMed Disclaimer

Figures

Figure 1
Figure 1. Composite Frailty and Dichotomous Frail Components
Composite frailty was highly associated the number of frail components (rho = 0.72, p<0.001).
Figure 2
Figure 2. Composite Frailty and Age
This figure shows the relationship between baseline composite frailty (vertical axis) and age (horizontal axis) for all participants.
Figure 3
Figure 3. Cross Sectional Versus Longitudinal Effects Of Age And Composite Frailty
This figure shows the predicted cross sectional effect (dotted line) and longitudinal effect (solid line) of age (x axis) on composite frailty (y axis).

References

    1. Bandeen-Roche K, Xue Q-L, Ferrucci L, Walston J, Guralnik JM, Chaves P, Zeger SL, Fried LP. Phenotype of Frailty: Characterization in the Women's Health and Aging Studies. Journals of Gerontology: Medical Sciences. 2006;61A:262–266. - PubMed
    1. Bennett DA, Schneider JA, Buchman AS, Mendes de Leon C, Bienias JL, Wilson RS. The Rush Memory and Aging Project: study design and baseline characteristics of the study cohort. Neuroepidemiology. 2005;25:163–175. - PubMed
    1. Blaum CS, Xue QL, Michelon E, Semba RD, Fried LP. The association between obesity and the frailty syndrome in older women: the Women's Health and Aging Studies. Journal of the American Geriatrics Society. 2005;53:927–934. - PubMed
    1. Boyd CM, Xue QL, Simpson CF, Guralnik JM, Fried LP. Frailty, hospitalization, and progression of disability in a cohort of disabled older women. American Journal Medicine. 2005;118:1225–1231. - PubMed
    1. Boyle PA, Wilson RS, Aggarwal NT, Arvanitakis Z, Kelly J, Bienias JL, Bennett DA. Parkinsonian signs in subjects with mild cognitive impairment. Neurology. 2005;65:1901–1906. - PubMed

Publication types

MeSH terms