Literature DB >> 25213145

Social vulnerability as a predictor of mortality and disability: cross-country differences in the survey of health, aging, and retirement in Europe (SHARE).

Lindsay M K Wallace1, Olga Theou, Fernando Pena, Kenneth Rockwood, Melissa K Andrew.   

Abstract

BACKGROUND: Social factors are important for health; the concept of social vulnerability considers them holistically and can be quantified using a social vulnerability index (SVI). AIMS: Investigate the SVI in relation to mortality and disability, independent of frailty, in middle-aged and older European adults, and examine how this relationship differs across countries.
METHODS: 18,289 community-dwelling participants 50 years and older from SHARE wave 1 (2004) were included in our sample. A 32-item SVI and a 57-item frailty index were calculated for individuals as the proportion of deficits present out of the total number considered. Countries were grouped based on their social model: Nordic (Denmark, Netherlands, Sweden), Continental (France, Austria, Belgium, Germany) and Mediterranean (Greece, Italy, Spain). Outcome measures were 5-year mortality and disability (≥1 dependency with activities of daily living) at wave 4 (2011-2012).
RESULTS: High social vulnerability (highest quartile) predicted mortality (HR = 1.25, 95 % CI 1.07-1.45), and disability (OR = 1.36, 95 % CI 1.15-1.62) after controlling for age, sex, baseline disability and frailty level. When analyses were split by social model, social vulnerability remained a significant predictor of mortality for Continental (HR = 1.36, CI 1.05-1.77) and Mediterranean (HR = 1.33, CI 1.03-1.72) countries, but not the Nordic (HR = 1.02, CI 0.76-1.37) countries; the same pattern was observed for disability (Nordic OR = 1.06, CI 0.72-1.55; Continental OR = 1.53, CI 1.20-1.96; Mediterranean OR = 1.58, CI 1.13-2.23). DISCUSSION/
CONCLUSIONS: Social vulnerability was a significant predictor of mortality and disability, though when controlling for frailty, this relationship varied by the social model of the country.

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Mesh:

Year:  2014        PMID: 25213145     DOI: 10.1007/s40520-014-0271-6

Source DB:  PubMed          Journal:  Aging Clin Exp Res        ISSN: 1594-0667            Impact factor:   3.636


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