Evidence map›Paper›PMID 40523807›Full record

ArticleBMJ global health2025

Trends in low birth weight across 36 states and union territories in India, 1993-2021.

Omar Karlsson, Akhil Kumar, Rockli Kim, S V Subramanian

Abstract read
In one paragraph

Article in BMJ global health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

4 authors.

Omar KarlssonDuke University, Durham, North Carolina, USA.
Akhil KumarUniversity of Toronto, Toronto, Ontario, Canada.ORCID http://orcid.org/0000-0001-8346-8634
Rockli KimDivision of Health Policy and Management, Korea University College of Health Science, Seoul, South Korea.ORCID http://orcid.org/0000-0002-9864-3957
S V SubramanianHarvard Center for Population and Development Studies, Cambridge, Massachusetts, USA svsubram@hsph.harvard.edu.ORCID http://orcid.org/0000-0003-2365-4165

Funding

STALLARD Admin Supp: Predicting Future Care Needs and Costs for Individual Medicare Enrollees with Incident Suspected Alzheimer's DiseaseP30AG034424 · NIA · DUKE UNIVERSITY · PI SCOTT M. LYNCH · 2009 to 2026
$12.2M
Science CoreP2CHD065563 · NICHD · DUKE UNIVERSITY · PI Giovanna M Merli · 2015 to 2026
$5.7M
Gates Foundation INV-002992NIA NIH HHS P30 AG034424NICHD NIH HHS P2C HD065563
6 · The paper itself

Abstract

introductionLow birth weight is an important measure of the health of pregnant women and newborns. We investigated the prevalence of low birth weights in India over nearly three decades to assess trends and convergence across states.

methodsData came from five waves of the National Family Health Survey (1992-93 to 2019-21). The prevalence of low birth weight was estimated. To explore the sensitivity of our results to missing birth weight data-since the completeness of birth weight information has changed drastically-we also estimated prevalence from multiple imputation models, Heckman selection models, and by reweighting the data so that socioeconomic characteristics of children with birth weight data matched across surveys.

resultsThe overall prevalence of low birth weight in India declined from 26% to 18% during the period. The 2019-21 survey revealed that four states, Uttar Pradesh, Bihar, Maharashtra, and West Bengal accounted for almost half of all low-birth-weight births in India. The Pearson's correlation between the prevalence of low birth weight in 1992-93 and percentage point change across the period was -0.85, suggesting convergence between states, where states with greater prevalence in 1992-93 had faster declines. Convergence was robust across sensitivity specifications.

conclusionState-level convergence indicates a potential 'catch-up' phenomenon, where states with initially higher prevalence have experienced greater declines. This finding suggested a possible impact of interventions prompted by dire figures in the earliest surveys, yet also stresses the necessity for continued interventions across all states to maintain and further progress. Our analysis, however, warrants a cautious interpretation due to data limitations. However, we observed convergence in the prevalence of low birth weight across states in all sensitivity specifications.

Indexed as

Infant, Low Birth WeightAdultFemaleHealth SurveysHumansIndiaInfant, NewbornMalePregnancyPrevalenceSocioeconomic FactorsChild healthIndia

Identifiers

PMID40523807
PMCPMC12182034

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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.