Evidence map›Paper›PMID 35488416›Full record

ArticleMaternal & child nutrition2022

Small area variations in low birth weight and small size of births in India.

Md Juel Rana, Rockli Kim, Soohyeon Ko, Laxmi K Dwivedi, K S James, Rakesh Sarwal, S V Subramanian

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Article in Maternal & child nutrition, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

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8citing papers in PubMed
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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

Who cites it

8 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Md Juel RanaInternational Institute for Population Sciences, Mumbai, Maharashtra, India.ORCID 0000-0001-8830-492X
Rockli KimDivision of Health Policy and Management, College of Health Science, Korea University, Seoul, South Korea.ORCID 0000-0002-9864-3957
Soohyeon KoInterdisciplinary Program in Precision Public Health, Department of Public Health Sciences, Graduate School of Korea University, Seoul, South Korea.
Laxmi K DwivediInternational Institute for Population Sciences, Mumbai, Maharashtra, India.
K S JamesInternational Institute for Population Sciences, Mumbai, Maharashtra, India.
Rakesh SarwalNational Institution for Transforming India (NITI) Aayog, Government of India, New Delhi, India.
S V SubramanianHarvard Center for Population and Development Studies, Cambridge, Massachusetts, United States.ORCID 0000-0003-2365-4165

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The states and districts are the primary focal points for policy formulation and programme intervention in India. The within-districts variation of key health indicators is not well understood and consequently underemphasised. This study aims to partition geographic variation in low birthweight (LBW) and small birth size (SBS) in India and geovisualize the distribution of small area estimates. Applying a four-level logistic regression model to the latest round of the National Family Health Survey (2015-2016) covering 640 districts within 36 states and union territories of India, the variance partitioning coefficient and precision-weighted prevalence of LBW (<2.5 kg) and SBS (mother's self-report) were estimated. For each outcome, the spatial distribution by districts of mean prevalence and small area variation (as measured by standard deviation) and the correlation between them were computed. Of the total valid sample, 17.6% (out of 193,345 children) had LBW and 12.4% (out of 253,213 children) had SBS. The small areas contributed the highest share of total geographic variance in LBW (52%) and SBS (78%). The variance of LBW attributed to small areas was unevenly distributed across the regions of India. While a strong correlation between district-wide percent and within-district standard deviation was identified in both LBW (r = 0.88) and SBS (r = 0.87), they were not necessarily concentrated in the aspirational districts. We find the necessity of precise policy attention specifically to the small areas in the districts of India with a high prevalence of LBW and SBS in programme formulation and intervention that may be beneficial to improve childbirth outcomes.

Indexed as

Infant, Low Birth WeightParturitionBirth WeightChildFemaleHumansIndiaInfant, NewbornLogistic ModelsPregnancySmall-Area Analysischild public healthepidemiologyinequalitieslow birth weightlow income countriesmaternal public health

Identifiers

PMID35488416
PMCPMC9218305

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