Evidence map›Paper›PMID 33382769›Full record

ArticlePloS one2020

Maternal determinants of low birth weight among Indian children: Evidence from the National Family Health Survey-4, 2015-16.

Ankita Zaveri, Pintu Paul, Jay Saha, Bikash Barman, Pradip Chouhan

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In one paragraph

Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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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

31 citing papers in PubMed.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Ankita ZaveriDepartment of Geography, University of Gour Banga, Malda, West Bengal, India.ORCID 0000-0002-6869-1632
Pintu PaulCentre for the Study of Regional Development, School of Social Sciences, Jawaharlal Nehru University, New Delhi, India.ORCID 0000-0002-6727-6082
Jay SahaDepartment of Geography, University of Gour Banga, Malda, West Bengal, India.
Bikash BarmanDepartment of Geography, University of Gour Banga, Malda, West Bengal, India.
Pradip ChouhanDepartment of Geography, University of Gour Banga, Malda, West Bengal, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveLow birth weight (LBW) is a serious public health problem in low- and middle-income countries and a leading cause of death in the first month of life. In India, about 18% of children are born with LBW (<2500 grams) in 2015-16. In this study, we aim to examine the influence of maternal factors and socio-demographic covariates on LBW in Indian children.

methodsData were drawn from the fourth round of the National Family Health Survey (NFHS-4), conducted in 2015-16. A cross-sectional study was designed using a stratified two-stage sampling technique. Cross-tabulation, Pearson's chi-squared test, and multivariate logistic regression analyses were employed to assess the impact of maternal factors and other covariates on children's LBW.

resultsOf total participants (n = 147,762), 17.5% of children were found to be born with LBW. The study revealed that women who had prior experience of stillbirth (Adjusted odds ratio [AOR]: 1.20, 95% CI: 1.04-1.38) and any sign of pregnancy complications (AOR: 1.08, 95% CI: 1.05-1.11) were more likely to have LBW children, even after adjusting for a range of covariates. Maternal food diversity was found to a protective factor against children's LBW. Women with underweight and anemic condition were associated with an increased likelihood of LBW children. Regarding maternity care, women who attended ≥4 ANC visits (AOR: 0.84, 95% CI: 0.80-0.88), took iron tablets/syrup during pregnancy (AOR: 0.94, 95% CI: 0.90-0.98), and delivered in a public health facility (AOR: 0.84, 95% CI: 0.79-0.88) were less likely to have LBW babies. Besides, various socio-demographic factors such as place of residence, caste, religion, education, wealth quintile, and geographical region were significantly associated with LBW of children.

conclusionInterventions are needed for adequate ANC utilization, improvement in public facility-based delivery, providing iron supplementation, and uptake of balanced energy-protein diet among pregnant mothers. Besides, special attention should be given to the socio-economically disadvantaged women to address adverse pregnancy and birth outcomes including LBW.

Indexed as

AdolescentAdultCross-Sectional StudiesEducational StatusFemaleHealth SurveysHumansIndiaInfant, Low Birth WeightInfant, NewbornLogistic ModelsMaternal Health ServicesMiddle AgedNutrition AssessmentPregnancyPregnancy Complications

Identifiers

PMID33382769
PMCPMC7774977

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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.