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Is frailty a stable predictor of mortality across time? Evidence from the Cognitive Function and Ageing Studies.
Mousa, Andria; Savva, George M; Mitnitski, Arnold; Rockwood, Kenneth; Jagger, Carol; Brayne, Carol; Matthews, Fiona E.
Affiliation
  • Mousa A; Department of Infectious Disease Epidemiology, School of Public Health, Imperial College London, London, UK.
  • Savva GM; School of Health Sciences, University of East Anglia, Norwich, UK.
  • Mitnitski A; Department of Medicine, Dalhousie University, Nova Scotia, Canada.
  • Rockwood K; Division of Geriatric Medicine, Department of Medicine, Dalhousie University, Nova Scotia, Canada.
  • Jagger C; Division of Geriatric Medicine, Department of Medicine, Dalhousie University, Nova Scotia, Canada.
  • Brayne C; Institute of Health and Society, Newcastle University Institute for Ageing, Newcastle University, Newcastle, UK.
  • Matthews FE; Department of Public Health and Primary Care, Cambridge Institute of Public Health, Cambridge, UK.
Age Ageing ; 47(5): 721-727, 2018 09 01.
Article in En | MEDLINE | ID: mdl-29905755
ABSTRACT

Background:

age-specific mortality reduction has been accompanied by a decrease in the prevalence of some diseases and an increase in others. Whether populations are becoming 'healthier' depends on which aspect of health is being considered. Frailty has been proposed as an integrative measure to quantify health status.

Objective:

to investigate changes in the near-term lethality of frailty before and after a 20-year interval using the frailty index (FI), a summary of age-related health deficit accumulation.

Design:

baseline data from the Cognitive Function and Ageing Studies (CFAS) in 1991 (n = 7,635) and 2011 (n = 7,762).

Setting:

three geographically distinct UK centres (Newcastle, Cambridgeshire and Nottingham).

Subjects:

individuals aged 65 and over (both institutionalised and community-living).

Methods:

a 30-item frailty score was used, which includes morbidities, risk factors and subjective measures of disability. Missing items were imputed using multiple imputations by chained equations. Binomial regression was used to investigate the relationship between frailty, age, sex and cohort. Two-year mortality was modelled using logistic regression.

Results:

mean frailty was slightly higher in CFAS II (0.19, 95% confidence interval (CI) 0.19-0.20) than CFAS I (0.18, 95% CI 0.17-0.18). Two-year mortality in CFAS I was higher than in CFAS II (odds ratio (OR) = 1.16, 95% CI 1.03-1.30). The association between frailty and 2-year mortality was non-linear with an OR of ~1.6 for each 0.10 increment in the FI.

Conclusions:

the relationship between frailty and mortality did not significantly differ across the studies. Severe frailty as an indicator of mortality is shown to be a stable construct.
Subject(s)

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Aging / Frail Elderly / Frailty Type of study: Clinical_trials / Diagnostic_studies / Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Aspects: Patient_preference Limits: Aged / Female / Humans / Male Country/Region as subject: Europa Language: En Journal: Age Ageing Year: 2018 Document type: Article Affiliation country: Reino Unido

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Aging / Frail Elderly / Frailty Type of study: Clinical_trials / Diagnostic_studies / Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Aspects: Patient_preference Limits: Aged / Female / Humans / Male Country/Region as subject: Europa Language: En Journal: Age Ageing Year: 2018 Document type: Article Affiliation country: Reino Unido