Repeatedly measured material and behavioral factors changed the explanation of socioeconomic inequalities in all-cause mortality.

Autor: Oude Groeniger J; Department of Public Health, Erasmus University Medical Centre, PO Box 2040, 3000 CA Rotterdam, The Netherlands. Electronic address: j.oudegroeniger@erasmusmc.nl., Kamphuis CB; Department of Public Health, Erasmus University Medical Centre, PO Box 2040, 3000 CA Rotterdam, The Netherlands; Department of Human Geography and Spatial Planning, Utrecht University, PO Box 80115, 3508 TC Utrecht, The Netherlands., Mackenbach JP; Department of Public Health, Erasmus University Medical Centre, PO Box 2040, 3000 CA Rotterdam, The Netherlands., van Lenthe FJ; Department of Public Health, Erasmus University Medical Centre, PO Box 2040, 3000 CA Rotterdam, The Netherlands.
Jazyk: angličtina
Zdroj: Journal of clinical epidemiology [J Clin Epidemiol] 2017 Nov; Vol. 91, pp. 137-145. Date of Electronic Publication: 2017 Aug 30.
DOI: 10.1016/j.jclinepi.2017.08.006
Abstrakt: Objectives: We examined whether using repeatedly measured material and behavioral factors contributed differently to socioeconomic inequalities in all-cause mortality compared to one baseline measurement.
Study Design and Setting: Data from the Dutch prospective GLOBE cohort were linked to mortality register data (1991-2013; N = 4,851). Socioeconomic position was measured at baseline by educational level and occupation. Material factors (financial difficulties, housing tenure, health insurance) and behavioral factors (smoking, leisure time physical activity, sports participation, and body mass index) were self-reported in 1991, 1997, and 2004. Cox proportional hazards regression and bootstrap methods were used to examine the contribution of baseline-only and time-varying risk factors to socioeconomic inequalities in mortality.
Results: Men and women in the lowest educational and occupational groups were at an increased risk of dying compared to the highest groups. The contribution of material factors to socioeconomic inequalities in mortality was smaller when multiple instead of baseline-only measurements were used (25%-65% vs. 49%-93%). The contribution of behavioral factors was larger when multiple measurements were used (39%-51% vs. 19%-40%).
Conclusion: Inclusion of time-dependent risk factors contributes to understanding socioeconomic inequalities in mortality, but careful examination of the underlying mechanisms and suitability of the model is required.
(Copyright © 2017 Elsevier Inc. All rights reserved.)
Databáze: MEDLINE
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