Evidence map›Paper›PMID 42261558›Full record

ArticleHealth science reports2026

Determinants of Low Birth Weight in Ghana: Analysis of the 2022 Demographic and Health Survey.

Michael Arthur Ofori, David Kwamena Mensah, Theophilus Asamoah, Michael Fosu Ofori

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Article in Health science reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Michael Arthur OforiMathematical Sciences Pan African University Institute Basic Science Technology and Innovation Juja Kenya.ORCID https://orcid.org/0000-0002-4983-540X
David Kwamena MensahDepartment of Statistics University of Cape Coast Cape Coast Ghana.ORCID https://orcid.org/0000-0003-0109-8110
Theophilus AsamoahMathematical Sciences Pan African University Institute Basic Science Technology and Innovation Juja Kenya.
Michael Fosu OforiStatistical Sciences Kumasi Technical University Kumasi Ghana.ORCID https://orcid.org/0000-0002-4201-1993

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Low birth weight (LBW) remains a significant public health challenge in developing countries, contributing substantially to infant mortality and morbidity. Objective: To examine sociodemographic, maternal health, and healthcare utilization factors associated with low birth weight in Ghana. Methods: This cross-sectional study analyzed data from 8,581 women 15-49 years from the 2022 Ghana Demographic and Health Survey (DHS). LBW was defined as birth weight < 2,500 grams. Logistic regression models were used to identify predictors of LBW. Crude and adjusted odds ratios with 95% confidence intervals were calculated. Results: The prevalence of LBW was 16.8%. The independent predictors of LBW included household poverty (aOR = 1.66), middle-income status (aOR = 1.49), lack of malaria prevention (aOR = 2.77), absence of skilled antenatal care (aOR = 1.71), and lack of iron supplementation (aOR = 1.31). Protective factors were maternal secondary education (aOR = 0.68), advanced maternal age (aOR = 0.74), and overweight BMI (aOR = 0.56). Significant interactions were identified between young maternal age and underweight status (aOR = 2.89). Also, there was an interaction between poverty and lack of malaria prevention (aOR = 0.42). Conclusions: Low birth weight in Ghana is influenced by socioeconomic inequalities, maternal nutritional status, and healthcare access, with synergistic effects between young maternal age and undernutrition. Targeted interventions addressing poverty, maternal nutrition, and ensuring access to skilled antenatal care, iron supplementation, and malaria prevention are essential for reducing LBW prevalence.

Indexed as

antenatal careGhanahealth inequalitieslow birth weightmalaria preventionmaternal nutrition

Identifiers

PMID42261558
PMCPMC13242698

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