Socioeconomic differences in mortality among 27 million economically active Germans: a cross-sectional analysis of the German Pension Fund data.
cross_sectional · Level IV
Where this comes from
- Record sourced from PubMed, PMID 31594869.
- Also identified by DOI 10.1136/bmjopen-2018-028001 and PMC identifier 6797371.
- Licence recorded as CC BY-NC.
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Abstract
To assess disparities in mortality by socioeconomic status in Germany. 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. Age-standardised mortality rates and Poisson regression mortality rate ratios (MRRs). 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. 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.
Medical subject headings
- Educational Status
- Employment
- Mortality
- Pensions
- Socioeconomic Factors