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
. 2013 Oct 1;178(7):1085-93.
doi: 10.1093/aje/kwt097. Epub 2013 Jun 19.

Prediction of severe, persistent activity-of-daily-living disability in older adults

Prediction of severe, persistent activity-of-daily-living disability in older adults

Dae Hyun Kim et al. Am J Epidemiol. .

Abstract

In a prospective cohort of nondisabled adults aged 65 years or more in the Established Populations for Epidemiologic Studies of the Elderly (1981-1987 and 1985-1992), we used a competing risk approach to predict the 5-year risk of severe, persistent activities-of-daily-living (ADLs) disability, defined as dependence in ≥3 ADLs for 2 consecutive annual interviews or for 1 interview followed by death in the subsequent year. During 5 years, 6.8% developed severe, persistent ADL dependence, and 14.6% died without severe, persistent ADL dependence in the derivation cohort (n = 8,301); the corresponding percentages were 6.8% and 15.8% in the validation cohort (n = 4,177). A model based on age, current employment, visual impairment, self-rated health, diabetes mellitus, history of stroke or brain hemorrhage, cognitive function, and self-reported physical function showed good calibration. Discrimination, assessed by C statistics, for <70, 70-74, 75-79, and ≥80 years, was 0.75, 0.74, 0.65, and 0.66 in the derivation cohort and 0.70, 0.72, 0.70, and 0.65 in the validation cohort, respectively. In conclusion, a simple risk score based on routinely available clinical information can predict severe, persistent disability in 5 years. Future studies should examine whether physical performance measures can further improve prediction in the oldest old.

Keywords: activities of daily living; aged; prognosis.

PubMed Disclaimer

Figures

Figure 1.
Figure 1.
Calibration plot of a cause-specific hazards model and a standard Cox regression model for the prediction of severe, persistent activity-of-daily-living dependence in the validation cohort, the Established Populations for Epidemiologic Studies of the Elderly, United States, 1981–1987 and 1985–1992. The risk was estimated as the 5-year cumulative incidence of severe, persistent activity-of-daily-living dependence from the cause-specific hazards model that accounted for competing risk.
Figure 2.
Figure 2.
Score sheet to estimate 5-year risk of severe, persistent activity-of-daily-living dependence, the Established Populations for Epidemiologic Studies of the Elderly, United States, 1981–1987 and 1985–1992. The risk was estimated as the 5-year cumulative incidence of severe, persistent activity-of-daily-living dependence from the cause-specific hazards model that accounted for competing risk. Cognitive function was considered “normal” if the number of errors on the Short Portable Mental Status Questionnaire was ≤2; “mildly impaired” if 3 or 4; and “moderately to severely impaired” if ≥5 (22).

References

    1. Crimmins EM, Beltran-Sanchez H. Mortality and morbidity trends: is there compression of morbidity? J Gerontol B Psychol Sci Soc Sci. 2011;66(1):75–86. - PMC - PubMed
    1. Congressional Budget Office. Washington, DC: Congressional Budget Office; 2004. Financing long-term care for the elderly http://www.cbo.gov/ftpdocs/54xx/doc5400/04-26-LongTermCare.pdf. (Accessed October 20, 2011)
    1. Branch LG, Jette AM. A prospective study of long-term care institutionalization among the aged. Am J Public Health. 1982;72(12):1373–1379. - PMC - PubMed
    1. Soldo BJ, Manton KG. Health status and service needs of the oldest old: current patterns and future trends. Milbank Mem Fund Q Health Soc. 1985;63(2):286–319. - PubMed
    1. Branch L, Jette A, Evashwick C, et al. Toward understanding elders’ health service utilization. J Community Health. 1981;7(2):80–92. - PubMed

Publication types