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反复测量的物质和行为因素改变了社会经济不平等导致全因死亡率的解释。

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

机构信息

Department of Public Health, Erasmus University Medical Centre, PO Box 2040, 3000 CA Rotterdam, The Netherlands.

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.

出版信息

J Clin Epidemiol. 2017 Nov;91:137-145. doi: 10.1016/j.jclinepi.2017.08.006. Epub 2017 Aug 30.

DOI:10.1016/j.jclinepi.2017.08.006
PMID:28859989
Abstract

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.

摘要

目的

我们研究了与仅基线测量相比,多次测量的物质和行为因素对全因死亡率的社会经济不平等状况是否具有不同的贡献。

研究设计和设置

荷兰前瞻性 GLOBE 队列的数据与死亡率登记数据(1991-2013 年;N=4851)相关联。在基线时,社会经济地位通过教育水平和职业来衡量。物质因素(经济困难、住房产权、健康保险)和行为因素(吸烟、休闲时间体育活动、体育参与和体重指数)于 1991 年、1997 年和 2004 年进行自我报告。使用 Cox 比例风险回归和引导方法来检验基线和时变风险因素对死亡率社会经济不平等的贡献。

结果

与最高组相比,教育和职业水平最低组的男性和女性死亡风险增加。与仅基线测量相比,当使用多次测量而不是仅基线测量时,物质因素对死亡率社会经济不平等的贡献较小(25%-65% vs. 49%-93%)。当使用多次测量时,行为因素的贡献更大(39%-51% vs. 19%-40%)。

结论

纳入时间相关风险因素有助于理解死亡率的社会经济不平等状况,但需要仔细检查潜在机制和模型的适用性。

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