ArticleBMC pediatrics2018
Analysis of low birth weight and its co-variants in Bangladesh based on a sub-sample from nationally representative survey.
Article in BMC pediatrics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
46 citing papers in PubMed, 103 citations in OpenAlex.
- Trial
- Post-traumatic stress disorder and adverse pregnancy and birth outcomes: a population-based study.European journal of psychotraumatology · 2026Article
- Prevalence and risk factors of low birth weight in a rural district of Bangladesh: a prospective cohort study.BMC pediatrics · 2026Article
- Estimating causal effects of rare treatments on binary outcomes: addressing sample size requirements and bias correction.BMC medical research methodology · 2026Article
- Prevalence and risk factors of adverse birth outcomes in Bangladesh: Insight from a nationwide survey.PloS one · 2026Article
- The Paradox of Stunting: Differences in the Perception of Health Workers in Community Health Centers and Experts in Hospitals on Low Birth Weight and Stunting Data.Journal of multidisciplinary healthcare · 2026Article
- Exploring the multilevel determinants of low birth weight in Bangladesh: Understanding implications for targeted public health interventions.PLOS global public health · 2026Article
- Age-related disparities and spatial distribution of low birthweight in sub-Saharan Africa: using data from demographic and health survey.Scientific reports · 2025Article
- Parental Socioeconomic, Demographic, and Neonatal Factors Influencing Infants' Low Birth Weight: A Cross-Sectional Study in Bangladesh.Health science reports · 2025Article
- Socioeconomic inequality and determinants of low birth weight in Kenya: a multilevel analysis using 2022 demographic and health survey.Italian journal of pediatrics · 2025Article
- Article
- Machine learning based prediction of low birth weight and its associated risk factors: Insights from the Bangladesh Demographic and Health Survey 2022.PLOS global public health · 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
- Prediction and feature selection of low birth weight using machine learning algorithms.Journal of health, population, and nutrition · 2024Article
- 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
- Accuracy of Mothers' Perception of Birth Size to Predict Birth Weight Data in Bangladesh.Maternal and child health journal · 2024Article
- Examining the combined effect of antenatal care visits and iron-folic acid supplementation on low birth weight: a pooled analysis of two national data sets from Nepal.BMC pregnancy and childbirth · 2024Article
- The prevalence of low birth weight and its associated maternal factors among women of reproductive age who gave birth to live babies within five years preceding the survey in Tanzania: an analysis of data from the 2015-16 Tanzania Demographic and Health Survey and Malaria Indicators Survey.BMC pregnancy and childbirth · 2024Article
- Predicting adverse birth outcome among childbearing women in Sub-Saharan Africa: employing innovative machine learning techniques.BMC public health · 2024Article
- Determinants of low birth weight and its effect on childhood health and nutritional outcomes in Bangladesh.Journal of health, population, and nutrition · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 2 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundLow birth weight (LBW) remains a leading global cause of childhood morbidity and mortality. This study leverages a large national survey to determine current prevalence and socioeconomic, demographic and heath related factors associated with LBW in Bangladesh.
methodsData from the Multiple Indicator Cluster Survey (MICS) 2012-13 of Bangladesh were analyzed. A total of 2319 women for whom contemporaneous birth weight data was available and who had a live birth in the two years preceding the survey were sampled for this study. However, this analysis only was able to take advantage of 29% of the total sample with 71% missing birth weight for newborns. The indicator, LBW (< 2500 g) of infants, was examined as the outcome variable in association with different socioeconomic, demographic and health-related covariates. Mixed-effects logistic regression was performed to identify possible factors related to LBW.
resultsIn the selected sub-sample, about 20% of infants were born with LBW, with lowest rates observed in Rajshahi (11%) and highest rates in Rangpur (28%). Education of mothers (adjusted odds ratio [AOR] 0.52, 95% confidence interval [CI] 0.39-0.68 for secondary or higher educated mother) and poor antenatal care (ANC) (AOR 1.40, 95% CI 1.04-1.90) were associated with LBW after adjusting for mother's age, parity and cluster effects. Mothers from wealthier families were less likely to give birth to an LBW infant. Further indicators that wealth continues to play a role in LBW were that place of delivery, ANC and delivery assistance by quality health workers were significantly associated with LBW. However there has been a notable fall in LBW prevalence in Bangladesh since the last comparable survey (prevalence 36%), and an evidence of possible elimination of rural/urban disparities.
conclusionsLow birth weight remains associated with key indicators not just of maternal poverty (notably adequate maternal education) but also markers of structural poverty in health care (notably quality ANC). Results based on this sub-sample indicate LBW is still a public health concern in Bangladesh and an integrated effort from all stakeholders should be continued and interventions based on the study findings should be devised to further reduce the risk of LBW.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.