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

  • Moradhvaj Dhakad (Korresp. Autor*in)
  • , Erich Striessnig (Korresp. Autor*in)
  • , Nandita Saikia
  • , Samir K.c.
  • , Wolfgang Lutz (Korresp. Autor*in)

Veröffentlichungen: Beitrag in FachzeitschriftArtikelPeer Reviewed

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.

OriginalspracheEnglisch
Aufsatznummere2503809123
Seitenumfang9
FachzeitschriftProceedings of the National Academy of Sciences
Jahrgang123
Ausgabenummer6
DOIs
PublikationsstatusVeröffentlicht - 1 Feb. 2026

Fördermittel

We would like to thank the International Institute for Applied Systems Analysis (IIASA), Laxenburg, Austria, for the Young Scientists Summer Program (YSSP) opportunity to complete this research and Jyoti and Kirit Parikh Fellowship. This research was also supported by the Department of Demography, University of Vienna, and by the European Union’s Horizon Europe research and innovation programme under the Marie Skłodowska-Curie Actions Postdoctoral Fellowship (Grant agreement No. 101208947), hosted at the Max Planck Institute for Demographic Research (MPIDR), Rostock, Germany. This paper was supported by the Yidan Prize project funds. Open access funding provided by the Max Planck Society.

UN SDGs

Dieser Output leistet einen Beitrag zu folgendem(n) Ziel(en) für nachhaltige Entwicklung

  1. SDG 3 – Gesundheit und Wohlergehen
    SDG 3 – Gesundheit und Wohlergehen

ÖFOS 2012

  • 504006 Demographie

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