ArticleBMJ open2025
Pooled prevalence and factors of low birth weight among newborns in the top 20 countries with the highest infant mortality: analysis of recent demographic and health surveys.
Article in BMJ open, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.
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Who cites it
6 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Incidence and predictors of mortality among low birth weight neonates in Africa: a systematic review and meta-analysis.Frontiers in pediatrics · 2025Pooled it
- Risk factors for low birthweight among multinational mothers: results from the first population-based maternal and infant health monitoring system in the capital emirate of the United Arab Emirates.BMC pregnancy and childbirth · 2026Article
- Article
- Geospatial variations and predictors of low birth weight in Sub-Saharan Africa: a geospatial modeling using evidence from demographic health survey 2015-2024.EClinicalMedicine · 2026Article
- Age-related disparities and spatial distribution of low birthweight in sub-Saharan Africa: using data from demographic and health survey.Scientific reports · 2025Article
- Risk factors and co-occurring patterns of low birth weight in Bangladesh: Insights from logistic regression and association rule mining.PLOS global public health · 2025Article
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Authors and funding
8 authors.
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Abstract
objectiveThis study aimed to assess the pooled prevalence and factors of low birth weight among newborns in the top 20 countries with the highest infant mortality rates.
designWe conducted a community-based cross-sectional analysis using data from Demography and Health Surveys across these countries. The final analysis included a weighted sample of 82 430 live births. We employed binary logistic regression to identify predictors of low birth weight, allowing for the interpretation of results as probabilities. This approach enhances the understanding of event likelihood, which is particularly valuable for policymakers. Statistical significance was determined at a 95% CI with p values <0.05.
settingThe focus was on the top 20 countries that report the highest infant mortality. OUTCOME VARIABLE: Low birth weight (binary: Yes/No).
resultThe pooled prevalence of low birth weight among newborns was found to be 13% (95% CI: 11% to 14%), showing notable variation across countries, ranging from 5% in Sierra Leone to 25% in Mauritania. Statistically significant factors included maternal age of 15-19 years (adjusted OR (AOR): 1.38; 95% CI: 1.19 to 1.61), lack of formal education among mothers (AOR: 1.36; 95% CI: 1.26 to 1.46), unemployed mothers (AOR: 1.54; 95% CI: 1.46 to 1.63), divorced mothers (AOR: 1.20; 95% CI: 1.10 to 1.36), absence of antenatal care (ANC) visits (AOR: 1.24; 95% CI: 1.10 to 1.39) and one to three ANC visits (AOR: 1.30; 95% CI: 1.22 to 1.38). Other significant factors included a parity of one to two children (AOR: 1.29; 95% CI: 1.21 to 1.39), twin births (AOR: 6.40; 95% CI: 5.68 to 7.26), and female newborns (AOR: 1.21; 95% CI: 1.15 to 1.28). CONCLUSION AND RECOMMENDATION: The findings indicate that more than 1 out of 10 newborns in these highest infant mortality countries are classified as low birth weight. To mitigate this issue, it is imperative to enhance access to quality healthcare with particular emphasis on ANC and to promote maternal education, especially for younger and less-educated mothers. Increasing the presence of skilled birth attendants and addressing socioeconomic factors, such as women's unemployment, is crucial. Targeted interventions should support divorced women and address risks associated with maternal age, terminated pregnancies and twin births. Additionally, country-specific strategies that focus on female infants can play a significant role in reducing the prevalence of low birth weight and improving neonatal health outcomes.
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