Mortality burden and socioeconomic status in India.
cross_sectional · Level IV
Where this comes from
- Record sourced from PubMed, PMID 21347373.
- Also identified by DOI 10.1371/journal.pone.0016844 and PMC identifier 3036714.
- Licence recorded as CC BY.
- The licence permits redistribution, so the abstract is shown in full and the full text is available from the publisher.
Abstract
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. 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). 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.
Medical subject headings
- Mortality
- Social Class