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Drivers of Mortality: Risk Factors and Inequality

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Abstract

This paper takes a detailed look at socio-economic variation in mortality across England. Generic metrics such as the index of multiple deprivation (IMD) can be effective at the aggregate level of national deciles, but we demonstrate that they perform much less well at the regional, urban–rural, and neighbourhood level. We use local linear regression to develop a new, customized index for neighbourhood mortality that addresses the mortality-specific shortcomings of the IMD based on socio-economic and related, non-spatial predictive variables. We find that old-age income deprivation and employment deprivation are key determinants of mortality, but also that urban–rural class and the presence of care homes in a neighbourhood have an important role to play in assessing underlying mortality rates relative to national mortality. Residual spatial/regional variation in mortality is found to be much less significant than socio-economic variation and much lower than the residual regional variation that results from the use of the IMD.
Original languageEnglish
Pages (from-to)989-1012
Number of pages24
JournalJournal of the Royal Statistical Society Series A: Statistics in Society
Volume187
Issue number4
Early online date27 Feb 2024
DOIs
Publication statusPublished - Oct 2024

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being
  2. SDG 10 - Reduced Inequalities
    SDG 10 Reduced Inequalities

Keywords

  • Social Sciences (miscellaneous)
  • Statistics and Probability
  • Economics and Econometrics
  • Statistics, Probability and Uncertainty

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