Evidence map›Paper›PMID 26398850›Full record

ArticleEconomics and human biology2015

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

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

Open access · hybridAbstract read
In one paragraph

Article in Economics and human biology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
2.1field-weighted citation impact, top 13% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 26 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 5 institutions in 3 countries.

Jinkook LeeDornsife Center for Economic and Social Research, University of Southern California, 638 Downey Way, Los Angeles, CA 90089, USA; RAND Corporation, Santa Monica, CA, USA. Electronic address: jinkook.lee@usc.edu.
Mark E McGovernQueen's University Belfast, Belfast, United Kingdom; Department of Global Health and Population, Harvard T.H. Chan School of Public Health, Boston, MA, USA; Harvard Center for Population and Development Studies, Cambridge, MA, USA.
David E BloomDepartment of Global Health and Population, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
P ArokiasamyInternational Institute for Population Sciences, Mumbai, India.
Arun RisbudNational AIDS Research Institute, Pune, Maharashtra, India.
Jennifer O'BrienDepartment of Global Health and Population, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
Varsha KaleNational AIDS Research Institute, Pune, Maharashtra, India.
Peifeng HuUniversity of California, Los Angeles, CA, USA.
Harvard Global Health Institute · USNational AIDS Research Institute · INInternational Institute for Population Sciences · INUniversity of California, Los Angeles · USUniversity of Southern California · US

Funding

Integrting Information About Aging SurveysR01AG030153 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI Sara Adar, Alden L. Gross · 2007 to 2026
$41.7M
Longitudinal Aging Biomarker Study in India (LASI-Biomarkers)R21AG034443 · NIA · HARVARD SCHOOL OF PUBLIC HEALTH · PI BLOOM, DAVID E, HU, PEIFENG · 2011 to 2012
$392k
NIA NIH HHS R01 AG030153NIA NIH HHS R21 AG034443NIA NIH HHS R21AG034443
6 · The paper itself

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 (0.7g/dL less in the adjusted model) compared to those with some formal education and is also lower for females than for males (2.0g/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 (>3mg/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 1.96mg/L compared to 3.28mg/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.

Indexed as

Health Status DisparitiesSocial ClassAgedAge FactorsAgingAsian PeopleBiomarkersCardiovascular DiseasesC-Reactive ProteinEconomic DevelopmentEducational StatusFemaleHemoglobinsHumansIndiaLongitudinal StudiesBiomarkersC-Reactive ProteinHemoglobinsAgingAnemiaBiomarkersCardiovascular healthHealth disparities

Identifiers

PMID26398850
PMCPMC4658270
OpenAlexW2129901811

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.