Education, gender, and state-level disparities in the health of older Indians: Evidence from biomarker data

Jinkook Lee, Mark E. McGovern, David Bloom, P. Arokiasamy, Arun Risbud, Jennifer O’Brien, Varsha Kale, Peifeng Hu

Research output: Contribution to journalArticle

12 Citations (Scopus)
195 Downloads (Pure)

Abstract

Using new biomarker data from the 2010 pilot round of the Longitudinal Aging Study in India (LASI), we investigate education, gender, and state-level disparities in health. We find that hemoglobin level, a marker for anemia, is lower for respondents with no schooling (0.7 g/dL less in the adjusted model) compared to those with some formal education and is also lower for females than for males (2.0 g/dL less in the adjusted model). In addition, we find that about one third of respondents in our sample aged 45 or older have high C-reaction protein (CRP) levels (>3 mg/L), an indicator of inflammation and a risk factor for cardiovascular disease. We find no evidence of educational or gender differences in CRP, but there are significant state-level disparities, with Kerala residents exhibiting the lowest CRP levels (a mean of 1.96 mg/L compared to 3.28 mg/L in Rajasthan, the state with the highest CRP). We use the Blinder–Oaxaca decomposition approach to explain group-level differences, and find that state-level disparities in CRP are mainly due to heterogeneity in the association of the observed characteristics of respondents with CRP, rather than differences in the distribution of endowments across the sampled state populations.
Original languageEnglish
Pages (from-to)145–156
Number of pages12
JournalEconomics and Human Biology
Volume19
Early online date11 Sep 2015
DOIs
Publication statusPublished - Dec 2015

Keywords

  • Biomarkers
  • Health disparities
  • Cardiovascular health
  • Anemia
  • Aging

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    Lee, J., McGovern, M. E., Bloom, D., Arokiasamy, P., Risbud, A., O’Brien, J., Kale, V., & Hu, P. (2015). Education, gender, and state-level disparities in the health of older Indians: Evidence from biomarker data. Economics and Human Biology, 19, 145–156. https://doi.org/10.1016/j.ehb.2015.09.003