Evidence mapPaperPMID 40258643Full record

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.

Demiss Mulatu Geberu, Lemlem Daniel Baffa, Asebe Hagos, Misganaw Guadie Tiruneh, Getachew Teshale, Tesfahun Zemene Tafere, Kaleb Assegid Demissie, Melak Jejaw

Abstract read
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
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

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.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  3. Article
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  6. Article
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

8 authors.

Demiss Mulatu GeberuDepartment of Health Systems and Policy, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia mulatu.demissma23@gmail.com.ORCID http://orcid.org/0000-0001-5737-0457
Lemlem Daniel BaffaDepartment of Human Nutrition, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia.ORCID http://orcid.org/0000-0002-2291-7755
Asebe HagosDepartment of Health Systems and Policy, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia.ORCID http://orcid.org/0000-0002-8617-0697
Misganaw Guadie TirunehDepartment of Health Systems and Policy, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia.ORCID http://orcid.org/0000-0002-9543-9416
Getachew TeshaleDepartment of Health Systems and Policy, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia.ORCID http://orcid.org/0000-0002-7781-4999
Tesfahun Zemene TafereDepartment of Health Systems and Policy, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia.ORCID http://orcid.org/0000-0001-8589-8558
Kaleb Assegid DemissieDepartment of Health Systems and Policy, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia.ORCID http://orcid.org/0009-0006-2192-6429
Melak JejawDepartment of Health Systems and Policy, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia.ORCID http://orcid.org/0009-0001-0826-5623

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Infant, Low Birth WeightInfant MortalityAdolescentAdultCross-Sectional StudiesEducational StatusFemaleHealth SurveysHumansInfantInfant, NewbornLogistic ModelsMaleMaternal AgePregnancyPrenatal CareChildEpidemiologyHealthHealth policyHealth ServicesNutritional support

Identifiers

PMID40258643
PMCPMC12015701

What Socratic holds

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LicenceCC BY-NC
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Registered trials

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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 Socratic graph.