ArticleHealth science reports2024
Risk factors of children's low birth weight and infant mortality in Bangladesh: Evidence from binary logistic regression and Cox PH models.
Article in Health science reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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5 citing papers in PubMed.
- Comparison of Cox Proportional Hazards Regression and Multiple Logistic Regression Models for Identifying Factors Associated With Mortality Among Children With Retinoblastoma in Malaysia: A Retrospective Cohort Study.Health science reports · 2026Article
- Predicting low birth weight in Bangladesh using interpretable machine learning models.BMC pregnancy and childbirth · 2026Article
- Prevalence and factors associated with preterm small-for-gestational-age neonates: a multi-center survey in China.BMC pediatrics · 2026Article
- Unveiling socio-demographic determinants of low birth weight using machine learning techniques.PLOS global public health · 2026Article
- 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
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4 authors.
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Abstract
Background: Low birth weight is recognized as a pivotal risk factor affecting child survival and growth. Although Bangladesh has made commendable progress in public health, an infant mortality rate of 38 per 1000 live births and a 16% prevalence of low birth weight remain significant concerns compared to other developing countries. This situation poses a significant challenge for the formulation of future health policies in Bangladesh. As a result, this study aims to identify potential risk factors contributing to low birth weight and infant mortality among children in Bangladesh. Methods: The data is extracted from the 2014 Bangladesh Demographic and Health Survey. The response variables are infant mortality and low birth weight. In the bivariate analysis, Log-rank tests and Chi-square tests of independence were conducted. Cox proportional hazards and binary logistic regression models were utilized to determine the impact of risk factors on infant mortality and low birth weight. Results: This study identified several significant factors associated with children's low birth weight, including wealth index, parental education, birth order, twin births, mother's body mass index, and child sex. Additionally, wealth index, parental education, twin status, media exposure, birth order, antenatal care visits, prenatal care assistance, and low birth weight were identified as potential risk factors for infant mortality in Bangladesh. Conclusion: This study revealed that maternal and child characteristics, along with knowledge about child health care during pregnancy, can potentially reduce the risk of low birth weight and infant mortality among children in Bangladesh. To improve child health and survival, policymakers should prioritize community-based health education programs, and encourage parents to seek healthcare information from institutional medical facilities during pregnancy and after birth.
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