ArticleWellcome open research2022
Determinants of very low birth weight in India: The National Family Health Survey - 4.
Article in Wellcome open research, 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, 7 citations in OpenAlex.
- Exploring the interplay of maternal anemia and BMI in determining low birth weight among rural Indian children: evidence from NFHS-5.Journal of health, population, and nutrition · 2026Article
- District-level changes in low birth weight in India: National Family Health Surveys, 2016 and 2021.BMC pediatrics · 2026Article
- Article
- Unraveling the complexity of selected adverse neonatal outcomes in India: a multilevel analysis using data from a nationally representative sample survey.BMC pregnancy and childbirth · 2025Article
- Prevalence of sub-optimal feeding practices and associated factors in very low birth weight infants admitted to the special care unit, Kawempe Hospital in Uganda.Frontiers in pediatrics · 2025Article
- Low birth weight and associated factors in rural population of Rajasthan, India.Frontiers in global women's health · 2025Article
- Association Between Maternal Dietary Patterns and Birthweight: A Cross-Sectional Study from South India.Journal of pharmacy & bioallied sciences · 2024Article
- Risk factors of children's low birth weight and infant mortality in Bangladesh: Evidence from binary logistic regression and Cox PH models.Health science reports · 2024Article
- Unlocking the Potential: A Systematic Literature Review on the Impact of Donor Human Milk on Infant Health Outcomes.Cureus · 2024Review
- Regional with urban-rural variation in low birth weight and its determinants of Indian children: findings from National Family Health Survey 5 data.BMC pregnancy and childbirth · 2023Article
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6 authors at 3 institutions in 1 country.
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Abstract
Background Low birth weight (LBW) is susceptible to neonatal complications, chronic medical conditions, and neurodevelopmental disabilities. We aim to describe the determinants of very low birth weight (VLBW) in India and compare it with the determinants of LBW based on the National Family Health Survey - 4 (NHFS-4) Methods Data from the NFHS-4 on birthweight and other socio-demographic characteristics for the youngest child born in the family during the five years preceding the survey were used. Data of 147,762 infant-mother pairs were included. Multiple logistic regression models were employed to delineate the independent predictors of VLBW (birth weight<1500 g) or LBW (birth weight: 1500-2499 g). Results Of the 147,762 children included in the study, VLBW and LBW were observed in 1.2% and 15.8% of children, respectively. The odds of VLBW were higher in female children (aOR: 1.36, 95% CI: 1.15-1.60), among mothers aged 13-19 years (aOR: 1.58, 95% CI: 1.22-2.07), mothers with severe or moderate anaemia (aOR: 1.61, 95% CI: 1.34-1.94), mothers without recommended antenatal care (aOR: 1.47, 95% CI: 1.31-1.90), maternal height less than 150 cm (aOR: 1.54, 95% CI: 1.29-1.85) and among mothers with multiple pregnancy (aOR: 21.34, 95% CI: 14.70-30.96) in comparison to their corresponding counterparts. In addition to the variables associated with VLBW, educational status of mothers (no education; aOR: 1.08, 95% CI: 1.02-1.15 and primary education; aOR: 1.16, 95% CI: 1.08-1.25), caste of the children (scheduled tribe; aOR: 1.13, 95% CI: 1.03-1.24), and wealthiness of the family (poorest wealth quintiles; aOR: 1.11, 95% CI: 1.03-1.19) were associated with LBW. Conclusions Interventions targeting improvements in antenatal care access, maternal health, and nutritional status may reduce the number of VLBW infants. Social determinants of LBW require further detailed study to understand the high propensity of low birth-weight phenotypes in the disadvantaged communities in India.
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