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2700 万经济活动德国人的死亡率存在社会经济差异:德国养老基金数据的横断面分析。

Socioeconomic differences in mortality among 27 million economically active Germans: a cross-sectional analysis of the German Pension Fund data.

机构信息

Max Planck Institute for Demographic Research, Rostock, Germany

Max Planck Institute for Demographic Research, Rostock, Germany.

出版信息

BMJ Open. 2019 Oct 7;9(10):e028001. doi: 10.1136/bmjopen-2018-028001.

DOI:10.1136/bmjopen-2018-028001
PMID:31594869
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6797371/
Abstract

OBJECTIVES

To assess disparities in mortality by socioeconomic status in Germany.

DESIGN AND PARTICIPANTS

We analyse a large administrative dataset of the German Pension Fund (DRV), including 27 million person-years of exposure and 42 000 deaths in 2013. The data cover the economically active population, stratified by sex and by East and West.

OUTCOME MEASURES

Age-standardised mortality rates and Poisson regression mortality rate ratios (MRRs).

RESULTS

The risk of dying increases with decreasing income: the MRRs of the lowest to the highest income quintile are 4.66 (95% CI 4.48 to 4.85) among men and 3.06 (95% CI 2.90 to 3.23) among women. The impact of income attenuates after controlling for education and other explanatory variables, especially for females. In the fully controlled model for females, individual income is a weaker predictor of mortality, but there is a clear educational mortality gradient. In the fully controlled model, the MRRs of the unemployed to the employed are 2.09 (95% CI 2.03 to 2.15) among men and 2.01 (95% CI 1.92 to 2.10) among women. The risk of dying is around half as high among foreigners as among German citizens. The socioeconomic disparities are greater among East than West German men.

CONCLUSIONS

Low socioeconomic status is a major determinant of excess adult mortality in Germany. The persisting East-West differences in male adult mortality can be explained by the higher socioeconomic status of men living in the West, rather than by contextual differences between East and West. These differences can be further monitored using DRV data.

摘要

目的

评估德国社会经济地位与死亡率之间的差异。

设计和参与者

我们分析了德国养老金协会(DRV)的一项大型行政数据集,其中包括 2013 年 2700 万人年的暴露量和 42000 例死亡。这些数据涵盖了经济活跃人口,按性别和东德和西德进行分层。

结果测量

年龄标准化死亡率和泊松回归死亡率比(MRR)。

结果

死亡风险随着收入的降低而增加:最低收入五分位组到最高收入五分位组的 MRR 分别为男性 4.66(95%CI 4.48 至 4.85)和女性 3.06(95%CI 2.90 至 3.23)。在控制教育和其他解释变量后,收入的影响减弱,尤其是对女性。在女性的完全控制模型中,个人收入对死亡率的预测能力较弱,但存在明显的教育死亡率梯度。在完全控制模型中,失业者相对于就业者的 MRR 为男性 2.09(95%CI 2.03 至 2.15)和女性 2.01(95%CI 1.92 至 2.10)。外国人的死亡率比德国公民低一半左右。东德男性的社会经济差异大于西德。

结论

低社会经济地位是德国成年人死亡率过高的主要决定因素。男性成年人死亡率在东德和西德之间持续存在的差异可以用生活在西德的男性的社会经济地位较高来解释,而不是东西德之间的背景差异。可以使用 DRV 数据进一步监测这些差异。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e47e/6797371/63057b58e1e8/bmjopen-2018-028001f02.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e47e/6797371/3cb803d7ea45/bmjopen-2018-028001f01.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e47e/6797371/63057b58e1e8/bmjopen-2018-028001f02.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e47e/6797371/3cb803d7ea45/bmjopen-2018-028001f01.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e47e/6797371/63057b58e1e8/bmjopen-2018-028001f02.jpg

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