Evidence map›Paper›PMID 36361018›Full record

ArticleInternational journal of environmental research and public health2022

Factors Associated with Low Birthweight in Low-and-Middle Income Countries in South Asia.

Ngan Ngo, Jahar Bhowmik, Raaj Kishore Biswas

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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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3 · Its place in the literature

Who cites it

8 citing papers in PubMed.

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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

3 authors.

Ngan NgoDepartment of Health Science and Biostatistics, Swinburne University of Technology, Melbourne, VIC 3150, Australia.
Jahar BhowmikDepartment of Health Science and Biostatistics, Swinburne University of Technology, Melbourne, VIC 3150, Australia.ORCID 0000-0001-9697-1968
Raaj Kishore BiswasCharles Perkins Centre, School of Health Sciences, Faculty of Medicine and Health, The University of Sydney, Sydney, NSW 2006, Australia.ORCID 0000-0003-4294-6323

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Child with Low Birth Weight (LBW) has a higher risk of infant mortality, learning difficulties in childhood due to stunted growth and impaired neurodevelopment, is more likely to develop heart diseases and diabetes in adulthood. This study aimed to evaluate the latest demographic and health surveys (DHSs) across multiple countries in South Asia to determine the factors associated with LBW among these countries. Latest available DHS data across Afghanistan (2015, n = 29,461), Bangladesh (2018, n = 20,127), Nepal (2016, n = 12,862), and Pakistan (2018, n = 15,068) were analysed. Complex survey adjusted generalized linear models were fitted to investigate the association of birth weight with sociodemographic and decision-making factors. Pakistan had the highest proportion of LBW at 18% followed by Afghanistan and Bangladesh at around 14% and Nepal had the lowest (13%). Children born in Pakistan were more likely to have LBW children than Afghanistan (AOR = 2.17, 95% CI = 1.49-3.14). Mothers living in rural areas (AOR = 0.77, 95% CI = 0.61-0.97), with highly educated partners and belonging to richer families were less susceptible to having child with LBW. To reduce 30% LBW in-line with the World Health Organisation's 2025 goal, policymakers in SA should focus on women in urban areas with low-educated partners belonging to poor households to ease LBW burden.

Indexed as

Developing CountriesInfant, Low Birth WeightAdultBangladeshBirth WeightChildFemaleHumansIncomeInfantInfant, NewbornRisk Factorscomplex surveylow-and-middle incomelow birth weightmultivariate binary logistic regressionSouth Asia

Identifiers

PMID36361018
PMCPMC9653626

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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.