ArticleSSM - population health2022
Socioeconomic inequalities in low birth weight in South Asia: A comparative analysis using Demographic and Health Surveys.
Article in SSM - population health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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10 citing papers in PubMed, 21 citations in OpenAlex.
- Prevalence and determinants of low birth weight and its association with child malnutrition in Bangladesh.BMC nutrition · 2026Article
- Low birth weight infants and parental nativity in Singapore: epidemiological paradox in Asia - a nationally representative population-based cohort study.BMJ public health · 2026Article
- Article
- Socioeconomic inequality and determinants of low birth weight in Kenya: a multilevel analysis using 2022 demographic and health survey.Italian journal of pediatrics · 2025Article
- Factors Associated With Low Birth Weight Among Under-Five Children in Sub-Saharan Africa: Evidence From Demographic and Health Surveys of 58,857 Children.Health science reports · 2025Article
- A Retrospective Analysis Evaluating the Impact of Neighborhood Deprivation on Birth Weight in Phoenix, Arizona.International journal of environmental research and public health · 2025Article
- Article
- Synergistic associations of antenatal care visits and iron-folic acid supplementation with low birth weight: a pooled analysis of national surveys from six south Asian countries.BMC public health · 2024Article
- Unraveling birth weight determinants: Integrating machine learning, spatial analysis, and district-level mapping.Heliyon · 2024Article
- Factors Associated with Low Birthweight in Low-and-Middle Income Countries in South Asia.International journal of environmental research and public health · 2022Article
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Authors and funding
6 authors at 4 institutions in 3 countries.
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No grant is acknowledged in the PubMed record.
Abstract
Background: Low Birth Weight (LBW) continues to be a prominent universal cause of various short- and long-term health hazards throughout infancy and adulthood. However, no study has revealed the socioeconomic inequalities in LBW among South Asian countries. This study assesses the socioeconomic inequalities among under-five South Asian children with LBW. Methods: Secondary data were derived from six (Afghanistan, Bangladesh, India, Maldives, Nepal, and Pakistan) nationally representative South Asian Demographic and Health Surveys conducted between 2015 and 2021, and included 170,547 under-five years of age children. The study employed the concentration curve and concentration index to assess the socioeconomic inequalities of those with LBW. Additionally, mixed-effect logistic regression was applied to determine the factors associated with LBW. Results: A significant negative concentration index indicates the wealth-related and education-related inequalities of LBW among under-five South Asian children. LBW is highly concentrated in the socio-economically poor section of the society. Our study found statistically significant negative concentration index in all South Asian countries: Afghanistan (Education: -0.108), Bangladesh (wealth: -0.070 & education: -0.083), India (wealth: -0.059 & education: -0.052), Nepal (by wealth: -0.064 & by education: -0.080), and Pakistan (by wealth: -0.080 & by education: -0.095). Findings from the mixed-effects logistic regression model also show that children from the poorest quintiles (AOR: 1.53, 95% CI: 1.41-1.67) and illiterate mothers (AOR: 1.39, 95% CI: 1.29-1.51) had higher odds of being afflicted with LBW compared to the wealthiest quintiles and educated mothers respectively. Women's pregnancy assessments, such as antenatal care utilisation, iron supplementation intake, and normal delivery mode, are significantly correlated with decreased odds of children's LBW. Conclusion: There exists a strong association between LBW cases and socioeconomic inequalities among South-Asian children below five years of age. This indicates the urgent need for health education and prenatal care services for women from Afghanistan, Bangladesh, India, Nepal, and Pakistan, especially those with lower socioeconomic status.
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