ArticleBMC pregnancy and childbirth2023
Regional with urban-rural variation in low birth weight and its determinants of Indian children: findings from National Family Health Survey 5 data.
Article in BMC pregnancy and childbirth, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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12 citing papers in PubMed.
- Early motor inequities: how birth conditions and social context shape motor development in the first five years of life.BMC pediatrics · 2026Article
- District-level changes in low birth weight in India: National Family Health Surveys, 2016 and 2021.BMC pediatrics · 2026Article
- Disparities in Low-Birth-Weight Prevalence Across Kenya: A Systematic Review and Meta-Analysis of Maternal, Demographic, and Socioeconomic Risk Factors.Health science reports · 2026Review
- Exploring the multilevel determinants of low birth weight in Bangladesh: Understanding implications for targeted public health interventions.PLOS global public health · 2026Article
- Factors Associated With Low Birth Weight in Cambodia: A Secondary Analysis of the Cambodia Demographic and Health Survey, 2021-2022.Journal of pregnancy · 2026Article
- Predictors of low birth weight deliveries at a primary health care facility: Suhum Government Hospital, Ghana - a retrospective cross-sectional study.BMJ public health · 2026Article
- Nutritional and prenatal care factors associated with low birth weight among full-term infants in public hospitals of Addis Ababa, Ethiopia.BMJ paediatrics open · 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
- Article
- Geographical variation, socioeconomic inequalities of low birth weight, and its relationship with maternal dietary diversity: Insights from the maternal infant and young child nutrition programme in Bangladesh.Journal of global health · 2024Article
- Influence of perinatal factors on full-term low-birth-weight infants and construction of a predictive model.World journal of clinical cases · 2024Article
- Association Between Lung Function of Children and Their Socioeconomic Conditions: A Systematic Review.International journal of general medicine · 2024Review
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6 authors.
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Abstract
backgroundLow birth weight is a key indicator for child health, especially a concern in low-middle-income countries. However, health and medically-related reforms are being actively implemented in some middle-income countries like India. Identifying low birth weight (LBW) babies with their determinants across the whole country is essential to formulate regional and area-specific interventions. The objective of this study was to find out the burden and determinants of LBW on the regional and residential (rural-urban) divisions of India.
methodsThe present study was based on the NFHS-5 dataset (2019-21), a nationally representative survey in India. A total of 209,223 births were included in this study. A newborn weighing less than 2500 g was considered as LBW. According to the objectives, we used frequency distribution, chi-square test and binary logistic regression analysis for analysing the data.
resultsAbout 18.24% of the babies were LBW in India, significantly higher in rural areas than in urban areas (18.58% vs 17.36%). Regionally prevalence was more frequent in western (20.63%) and central (20.16%) rural areas. Regarding maternal concerns, in the eastern and southern regions of India, mothers aged 25-34 were less likely to have LBW children than mothers aged 35-49 years. It was found that the risk of LBW was more likely among the children born out of unintended pregnancies in almost all regions except for eastern part. In rural India, women who delivered children at home were more likely to have LBW children in India (AOR = 1.19, CI: 1.12-1.28, p < 0.001) and its central, northern, and southern regions than those who gave birth in institutions. The study indicates that LBW coexists with lower maternal education levels and poor household wealth index across all regions. About 58% and 57% of cumulative effects of independent variables on LBW can be distinguished in urban and rural India, respectively.
conclusionsTargeted-specific strategies need to be undertaken as per region and geographical variations. Then only India should be able to decline LBW as proposed by National Health Policy.
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