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Propensity score matching approach to test the association of income inequality and mortality in São Paulo, Brazil


Background Support for the adverse effect of high income inequality on population health has come from studies that focus on larger areas, such as the US states, while studies at smaller geographical areas (eg, neighbourhoods) have found mixed results.

Methods We used propensity score matching to examine the relationship between income inequality and mortality rates across 96 neighbourhoods (distritos) of the municipality of São Paulo, Brazil.

Results Prior to matching, higher income inequality distritos (Gini ≥0.25) had slightly lower overall mortality rates (2.23 per 10 000, 95% CI −23.92 to 19.46) compared to lower income inequality areas (Gini <0.25). After propensity score matching, higher inequality was associated with a statistically significant higher mortality rate (41.58 per 10 000, 95% CI 8.85 to 73.3).

Conclusion In São Paulo, the more egalitarian communities are among some of the poorest, with the worst health profiles. Propensity score matching was used to avoid inappropriate comparisons between the health status of unequal (but wealthy) neighbourhoods versus equal (but poor) neighbourhoods. Our methods suggest that, with proper accounting of heterogeneity between areas, income inequality is associated with worse population health in São Paulo.

  • Propensity score
  • mortality
  • socioeconomic factors
  • inequalities SI
  • mortality SI
  • socio-economic

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