Evidence map›Paper›PMID 40312302›Full record

ArticleBMC pediatrics2025

Regional and sub-regional estimates of low birth weight and its determinants in 44 low- and middle-income countries: evidence from demographic and health survey data.

Kusse Urmale Mare, Gashaye Gobena Andarge, Kebede Gemeda Sabo, Osman Ahmed Mohammed, Ahmed Adem Mohammed, Abdulkerim Hassen Moloro, Oumer Abdulkadir Ebrahim, Beminate Lemma Seifu, Bizunesh Fantahun Kase, Habtamu Solomon Demeke and 8 more

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Article in BMC pediatrics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

18 authors.

Kusse Urmale MareDepartment of Nursing, College of Medicine and Health Sciences, Samara University, Samara, Ethiopia. kussesinbo@gmail.com.
Gashaye Gobena AndargeDepartment of Nursing, College of Medicine and Health Sciences, Samara University, Samara, Ethiopia.
Kebede Gemeda SaboDepartment of Nursing, College of Medicine and Health Sciences, Samara University, Samara, Ethiopia.
Osman Ahmed MohammedDepartment of Nursing, College of Medicine and Health Sciences, Samara University, Samara, Ethiopia.
Ahmed Adem MohammedDepartment of Nursing, College of Medicine and Health Sciences, Samara University, Samara, Ethiopia.
Abdulkerim Hassen MoloroDepartment of Nursing, College of Medicine and Health Sciences, Samara University, Samara, Ethiopia.
Oumer Abdulkadir EbrahimDepartment of Public Health, College of Medicine and Health Sciences, Samara University, Samara, Ethiopia.
Beminate Lemma SeifuDepartment of Public Health, College of Medicine and Health Sciences, Samara University, Samara, Ethiopia.
Bizunesh Fantahun KaseDepartment of Public Health, College of Medicine and Health Sciences, Samara University, Samara, Ethiopia.
Habtamu Solomon DemekeDepartment of Public Health, College of Medicine and Health Sciences, Samara University, Samara, Ethiopia.
Temesgen Gebeyehu WondmenehDepartment of Public Health, College of Medicine and Health Sciences, Samara University, Samara, Ethiopia.
Setognal Birara AychiluhmDepartment of Epidemiology & Biostatistics, Institute of Public Health, College of Medicine & Health Sciences, University of Gondar, Gondar, Ethiopia.
Abay Woday TadesseSchool of Population Health, Faculty of Health Sciences, Curtin University, Bentley, WA, 6102, Australia.
Getahun Fentaw MulawSchool of Pharmacy and Medical Sciences, Griffith University, Gold Coast, QLD, 4222, Australia.
Simeon Meskele LeytoDepartment of Anatomy, College of Medicine and Health Sciences, Wachamo University, Hossana, Ethiopia.
Begetayinoral Kussia LaholeDepartment of Midwifery, College of Medicine and Health Sciences, Arba Minch University, Arba Minch, Ethiopia.
Tesfahun Simon HadaroDepartment of Midwifery, College of Medicine and Health Sciences, Arba Minch University, Arba Minch, Ethiopia.
Beriso Furo WengoroDepartment of Biomedical Sciences, College of Medicine and Health Sciences, Samara University, Samara, Ethiopia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLow birth weight continues to be a significant cause of perinatal morbidity and mortality, contributing to 80% of neonatal deaths in low and middle-income countries. To the authors' knowledge, no prior study has estimated the regional and sub-regional prevalence of low birth weight and its determinants in these settings. Therefore, this study aimed to examine the pooled and regional estimates of low birth weight in low and middle-income countries.

methodsWe used a weighted sample of 343,898 birth records, taken from the pooled demographic and health surveys conducted from 2015 to 2022 in 44 low and middle-income countries. Overall and sub-regional trends in low birth weight estimates were presented using a line graph. A multilevel mixed-effect analysis was done to identify determinants of low birth weight. Model comparison was performed using deviance and log-likelihood values, and statistical significance was determined at a P-value of less than 0.05.

resultsThe overall prevalence of low birth weight births was 13.7% [95% CI: 13.5%-13.8%], showing significant variations among countries and regions. Asia region had the highest prevalence at 16%, followed by Latin America, the Caribbean, and Europe at 11.5%, and Africa at 9.5%. Our study also indicated a decline in low birth weight from 11.4% to 9.5% over eight-year periods, with no consistent trend observed. Furthermore, factors such as health insurance, household wealth, maternal age, access to healthcare facilities, maternal education, neonate's sex, prenatal care, and antenatal iron supplementation were found to be statistically associated with low birth weight.

conclusionOur findings highlight the significant burden of low birth weight births, with notable variations in rates among countries and regions. The study also reveals a slight decline in low birth weight over time, although no consistent trend was observed. Importantly, maternal and household factors play significant roles in influencing low birth weight. Thus, addressing these factors through targeted interventions and policies could help reduce the incidence of low birth weight births in LMICs.

Indexed as

Developing CountriesInfant, Low Birth WeightAdultFemaleHealth SurveysHumansInfant, NewbornMalePregnancyPrevalenceRisk FactorsDemographic and Health SurveyDeterminantsLow and middle-income countriesLow birth weightMultilevel analysis

Identifiers

PMID40312302
PMCPMC12044825

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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.