Evidence map›Paper›PMID 40579634›Full record

ArticleJournal of racial and ethnic health disparities2026

Do Ethnicity/Caste-Based Disparities Influence Childhood Anemia in India?

Sakshi Pandey, Tetsuya Araki, Dil B Rahut

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Article in Journal of racial and ethnic health disparities, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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5 · Who and what money

Authors and funding

3 authors.

Sakshi PandeyLab. International Agro-Informatics, Dept. Global Agricultural Sciences, Graduate School of Agricultural and Life Sciences, The University of Tokyo, 1-1-1Bunkyo Ward, YayoiTokyo, 113-8657, Japan. pandey-sakshi@g.ecc.u-tokyo.ac.jp.ORCID 0009-0008-6699-7436
Tetsuya ArakiLab. International Agro-Informatics, Dept. Global Agricultural Sciences, Graduate School of Agricultural and Life Sciences, The University of Tokyo, 1-1-1Bunkyo Ward, YayoiTokyo, 113-8657, Japan.
Dil B RahutAsian Development Bank Institute, Chiyoda-Ku, Tokyo, 100-6008, Japan.

Funding

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6 · The paper itself

Abstract

Using unit-level data from the two latest rounds of the cross-sectional National Family Health Survey (NFHS) 2015-2016 and 2019-2021, this study explores the role of etiological factors, such as social and environmental factors, maternal condition, and infectious diseases, on the occurrence of anemia in children from 6 to 59 months in India. Anonymized information on 106,466 singleton children aged 6-59 months and alive at the time of the survey was used from the NFHS 2015-2016 and 110,627 children from NFHS 2019-2021. The study uses logistic regression analysis to understand the association of various socioeconomic indicators with childhood anemia. Further, an exogenous switching treatment effect regression (ESTER) model was used to evaluate the causal impact of caste-based ethnicity. Contrary to other nutritional indicators that improved between the survey periods, the prevalence of anemia among children increased from 64% in 2015-2016 to 68% in 2019-2021. Results show maternal anemia as the most critical determinant, followed by maternal body mass index (BMI). The analysis also reveals that the risk of anemia decreases as the socioeconomic indicators improve. Irrespective of socioeconomic characteristics, there is a 1.5 times higher risk of childhood anemia in marginalized groups, particularly in Scheduled Tribes. Therefore, a deeper understanding of the underlying causes of anemia is crucial for designing policies to reduce the prevalence of anemia in India.

Indexed as

AnemiaEthnicitySocial ClassChild, PreschoolCross-Sectional StudiesFemaleHealth SurveysHumansIndiaInfantMalePrevalenceSocioeconomic Disparities in HealthSocioeconomic FactorsAnemiaCasteHemoglobinIndiaSocioeconomic status

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