Elsevier

Social Science & Medicine

Volume 184, July 2017, Pages 49-56
Social Science & Medicine

Educational gains in cause-specific mortality: Accounting for cognitive ability and family-level confounders using propensity score weighting

https://doi.org/10.1016/j.socscimed.2017.05.019Get rights and content
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Highlights

  • We estimate the educational gains of cause-specific mortality in months lost.

  • Ignoring confounding would underestimate the educational gains.

  • Higher educated live 20 months longer than low educated from 18 to 63.

  • Reduction in mortality due to external causes is attributable to most of the gain.

  • Hardly any educational gain in cancer and CVD mortality.

Abstract

A negative educational gradient has been found for many causes of death. This association may be partly explained by confounding factors that affect both educational attainment and mortality. We correct the cause-specific educational gradient for observed individual background and unobserved family factors using an innovative method based on months lost due to a specific cause of death re-weighted by the probability of attaining a higher educational level. We use data on men with brothers from the Swedish Military Conscription Registry (1951–1983), linked to administrative registers. This dataset of some 700,000 men allows us to distinguish between five education levels and many causes of death. The empirical results reveal that raising the educational level from primary to tertiary would result in an additional 20 months of survival between ages 18 and 63. This improvement in mortality is mainly attributable to fewer deaths from external causes. The highly educated gain more than nine months due to the reduction in deaths from external causes, but gain only two months due to the reduction in cancer mortality and four months due to the reduction in cardiovascular mortality. Ignoring confounding would lead to an underestimation of the gains by educational attainment, especially for the less educated. Our results imply that if the education distribution of 50,000 Swedish men from the 1951 cohort were replaced with that of the corresponding 1983 cohort, 22% of the person-years that were lost to death between ages 18 and 63 would have been saved for this cohort.

Keywords

Sweden
Cause-specific mortality
Causal effect of education
Months lost analysis
Inverse probability weighting
Fixed effects

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