Evidence map›Paper›PMID 40730994›Full record

ArticleReproductive health2025

Influence of paternal education on maternal and child health outcomes in Sub-Saharan Africa: evidence from demographic and health surveys.

Joshua Okyere, Demisu Zenbaba Hey, Sanni Yaya

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Article in Reproductive health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

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4citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

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4 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Joshua OkyereSchool of Human and Health Sciences, University of Huddersfield, Queensgate, Huddersfield, England, UK.
Demisu Zenbaba HeySchool of Public Health, Madda Walabu University, Robe, Ethiopia.
Sanni YayaThe George Institute for Global Health, Imperial College, London, UK. sanni.yaya@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMaternal and child health outcomes remain pressing challenges in Sub-Saharan Africa (SSA), characterized by persistently high under-five mortality and inadequate utilization of essential maternal healthcare services. While the impact of maternal education on these outcomes is well documented, the influence of paternal education remains underexplored. This study investigates the association between paternal education and maternal health service utilization, focusing on antenatal care (ANC) and skilled birth attendance (SBA), as well as child survival across 22 SSA countries.

methodsWe conducted a cross-sectional analysis using nationally representative data from Demographic and Health Surveys (DHS) administered between 2013 and 2024 in 22 SSA countries. The study sample included a weighted total of 109,818 children aged 0-59 months and their mothers. Key outcomes included maternal healthcare utilization (≥ 4 ANC visits and SBA) and child survival. Paternal education was classified into three categories: no education, primary education, and secondary or higher education. Logistic and ordered logistic regression models were employed, adjusting for maternal, child, household, and regional covariates.

resultsOverall, 96.5% (95% CI: 96.4-96.6%) of children survived to age five, while 61.8% of mothers reported ≥ 4 ANC visits and 73.8% had skilled birth attendance. Higher paternal education was significantly associated with increased maternal healthcare utilization. Women whose partners had secondary or higher education were nearly twice as likely to attend ≥ 4 ANC visits (AOR: 1.99; 95% CI: 1.91-2.07) and more likely to access SBA (AOR: 1.60; 95% CI: 1.52-1.67) than those whose partners had no education. Marked regional and socioeconomic disparities persisted, with Southern SSA showing more favorable outcomes than Central and Eastern regions.

conclusionPaternal education is strongly associated with improved maternal healthcare utilization, which is itself linked to enhanced child survival in SSA. Although no direct relationship was found between paternal education and child survival, these findings underscore the indirect but influential role fathers play in shaping health outcomes. Targeted strategies that promote male educational attainment and actively involve fathers in maternal and child health interventions-particularly in underserved regions-are essential for reducing health disparities and improving outcomes across the region.

Indexed as

Child HealthEducational StatusFathersMaternal HealthMaternal Health ServicesAdolescentAdultAfrica South of the SaharaChild MortalityChild, PreschoolCross-Sectional StudiesFemaleHealth SurveysHumansInfantInfant, NewbornAntenatal careChild survivalDemographic and health surveysMaternal healthPaternal educationSkilled birth attendanceSub-Saharan Africa

Identifiers

PMID40730994
PMCPMC12309121

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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.