Literature DB >> 30266471

Wealth and occupation determine health deficit accumulation onset in Europe - Results from the SHARE study.

Anna-Janina Stephan1, Ralf Strobl2, Rolf Holle3, Eva Grill4.   

Abstract

While socio-economic characteristics have been shown to be associated with health deficit accumulation (DA) trajectories, their effect on the age at DA onset remains unclear. The objective of this study was to compare the median age at DA onset across nine European countries and to investigate the effects of income, occupation and wealth on DA onset after age 50. We used population samples aged 50 years and older from the SHARE (Survey of Health, Aging and Retirement in Europe) study. Participants from nine European countries with longitudinal data from at least three of the 2004/05, 2006/07, 2010/11, 2012/13 and 2014/15 waves were included in the analysis. A Frailty Index (FI, range 0-1) was constructed from 50 health deficits. DA onset was defined as having FI values > 0.08 in at least two consecutive measurements following an initial FI value ≤ 0.08. We investigated the effect of income, occupation and wealth on DA onset using a random effects model for time-to-event data. Potential confounding variables were identified using directed acyclic graphs. Out of 8616 (mean age 62 years, 49.0% female) participants initially at risk, 2640 (30.6%) experienced a subsequent DA onset. Median age at onset was 71 years overall, ranging from 66 years (Germany) to 76 years (Switzerland). Wealth and occupation were found to have significant effects on DA onset which decreased with age. In sum, the median age at DA onset differs between European countries. On an individual-level, wealth and occupation, but not income influence the age at DA onset.
Copyright © 2018 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Aged; Frailty; Health deficit accumulation; Health status disparities; Healthy aging; Socioeconomic factors

Mesh:

Year:  2018        PMID: 30266471     DOI: 10.1016/j.exger.2018.09.021

Source DB:  PubMed          Journal:  Exp Gerontol        ISSN: 0531-5565            Impact factor:   4.032


  2 in total

1.  Frailty Risk Prediction Model among Older Adults: A Chinese Nation-Wide Cross-Sectional Study.

Authors:  Siying Li; Wenye Fan; Boya Zhu; Chao Ma; Xiaodong Tan; Yaohua Gu
Journal:  Int J Environ Res Public Health       Date:  2022-07-09       Impact factor: 4.614

2.  Frailty differences across population characteristics associated with health inequality: a cross-sectional analysis of baseline data from the Canadian Longitudinal Study on Aging (CLSA).

Authors:  Lauren E Griffith; Parminder Raina; David Kanters; David Hogan; Christopher Patterson; Alexandra Papaioannou; Julie Richardson; Anne Gilsing; Mary Thompson; Edwin van den Heuvel
Journal:  BMJ Open       Date:  2021-07-19       Impact factor: 2.692

  2 in total

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