For reducing premature adult mortality in India, education matters more than income

Preventing premature death is a global policy objective reflected in the SDGs. While numerous studies have found socioeconomic factors to be significantly associated with premature death everywhere in the world, the debate on the relative effect of such factors on mid-age (15 to 59 ages) has not received enough attention, particularly in low-income countries, where this question is pertinent due to scant resources in the healthcare sector. Using nationally representative, longitudinal data from the India Human Development Survey, we assess the relative importance of individual- and community-level education vs. income and wealth in India, where approximately 3 million premature deaths occur annually in mid-ages. We find a clear downward gradient in mid-age mortality with increasing education within each wealth category, whereas no consistent mortality advantage with increasing wealth status is visible within education subgroups. Multilevel logistic regression models show that the decline in the risk of death across the education spectrum by far exceeds (14% for male and 13% for female) the decline moving along the wealth distribution, even after controlling for other relevant demographic, socioeconomic, regional variables. Along with the direct effect of individual-level educational attainment, we also find a protective effect of education at the community level, particularly for women. Based on these findings, we infer that educational attainment is essential for reducing mid-age mortality in India. Population and health policies in developing countries, therefore, should focus on education to prevent adult mortality.

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Publication Details

Journal
Proceedings of the National Academy of Sciences
Published
2026-02-02
DOI
https://doi.org/10.1073/pnas.2503809123
Primary Topic
Health disparities and outcomes
Type
article
Field-Weighted Citation Impact
0.00

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article

For reducing premature adult mortality in India, education matters more than income

Erich Striessnig, Nandita Saikia, Samir K.C., Wolfgang Lutz et al.
Proceedings of the National Academy of Sciences
Health disparities and outcomes
article

For reducing premature adult mortality in India, education matters more than income

Erich Striessnig, Nandita Saikia, Samir K.C., Wolfgang Lutz, Moradhvaj Dhakad
article en

Abstract

Preventing premature death is a global policy objective reflected in the SDGs. While numerous studies have found socioeconomic factors to be significantly associated with premature death everywhere in the world, the debate on the relative effect of such factors on mid-age (15 to 59 ages) has not received enough attention, particularly in low-income countries, where this question is pertinent due to scant resources in the healthcare sector. Using nationally representative, longitudinal data from the India Human Development Survey, we assess the relative importance of individual- and community-level education vs. income and wealth in India, where approximately 3 million premature deaths occur annually in mid-ages. We find a clear downward gradient in mid-age mortality with increasing education within each wealth category, whereas no consistent mortality advantage with increasing wealth status is visible within education subgroups. Multilevel logistic regression models show that the decline in the risk of death across the education spectrum by far exceeds (14% for male and 13% for female) the decline moving along the wealth distribution, even after controlling for other relevant demographic, socioeconomic, regional variables. Along with the direct effect of individual-level educational attainment, we also find a protective effect of education at the community level, particularly for women. Based on these findings, we infer that educational attainment is essential for reducing mid-age mortality in India. Population and health policies in developing countries, therefore, should focus on education to prevent adult mortality.

Proceedings of the National Academy of SciencesVol. 123(6)
Shanghai University (CN), University of Vienna (AT), International Institute for Applied Systems Analysis (AT), International Institute for Population Sciences (IN), Vienna Institute of Demography (AT), Max Planck Institute for Demographic Research (DE)
European Commission, Universität Wien, Max-Planck-Gesellschaft, International Institute for Applied Systems Analysis, Max-Planck-Institut für demografische Forschung, HORIZON EUROPE Framework Programme, H2020 Marie Skłodowska-Curie Actions
Openalex Percentile: Top 76%
Health disparities and outcomes
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