Literature DB >> 23443511

Exploring the relationship between national economic indicators and relative fitness and frailty in middle-aged and older Europeans.

Olga Theou1, Thomas D Brothers, Michael R Rockwood, David Haardt, Arnold Mitnitski, Kenneth Rockwood.   

Abstract

BACKGROUND: on an individual level, lower-income has been associated with disability, morbidity and death. On a population level, the relationship of economic indicators with health is unclear.
OBJECTIVE: the purpose of this study was to evaluate relative fitness and frailty in relation to national income and healthcare spending, and their relationship with mortality. DESIGN AND
SETTING: secondary analysis of data from the Survey of Health, Ageing and Retirement in Europe (SHARE); a longitudinal population-based survey which began in 2004.
SUBJECTS: a total of 36,306 community-dwelling people aged 50 and older (16,467 men; 19,839 women) from the 15 countries which participated in the SHARE comprised the study sample. A frailty index was constructed as the proportion of deficits present in relation to the 70 deficits available in SHARE. The characteristics of the frailty index examined were mean, prevalence of frailty and proportion of the fittest group.
RESULTS: the mean value of the frailty index was lower in higher-income countries (0.16 ± 0.12) than in lower-income countries (0.20 ± 0.14); the overall mean frailty index was negatively correlated with both gross domestic product (r = -0.79; P < 0.01) and health expenditure (r = -0.63; P < 0.05). Survival in non-frail participants at 24 months was not associated with national income (P = 0.19), whereas survival in frail people was greater in higher-income countries (P < 0.05).
CONCLUSIONS: a country's level of frailty and fitness in adults aged 50+ years is strongly correlated with national economic indicators. In higher-income countries, not only is the prevalence of frailty lower, but frail people also live longer.

Entities:  

Keywords:  Europe; SHARE; ageing; frailty; older people

Mesh:

Year:  2013        PMID: 23443511      PMCID: PMC3745086          DOI: 10.1093/ageing/aft010

Source DB:  PubMed          Journal:  Age Ageing        ISSN: 0002-0729            Impact factor:   10.668


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