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BACKGROUND: The dimensions along which mortality is patterned in India remains unclear. We examined the specific contribution of social castes, household income, assets, and monthly per capita consumption to mortality differentials in India. METHODS AND FINDINGS: Cross-sectional data on 217,363 individuals from 41,554 households from the 2004-2005 India Human Development Survey was analyzed using multiple logistic regressions. Mortality differentials across social castes were attenuated after adjusting for household economic factors such as income and assets. Individuals living in the lowest income and assets quintiles had an increased risk of mortality with odds ratio (OR) of 1.66 (95% CI = 1.23-2.24) in the bottom income quintile and OR of 2.94 (95% CI = 1.66-5.22) in the bottom asset quintile. Counter-intuitively, individuals living in households with lowest monthly consumption per capita had significantly lower probability of death (OR = 0.27, 95% CI = 0.20-0.38). CONCLUSIONS: Mortality burden in India is largely patterned on economic dimensions as opposed to caste dimensions, though caste may play an important role in predicting economic opportunities.
Po et al. (Wed,) studied this question.
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