Evidence map›Paper›PMID 41264621›Full record

ArticlePloS one2025

Prevalence and determinants of under-five mortality (U5M) in low-and lower -middle-income countries: Evidence from recent demographic and health surveys.

Md Alamgir Sarder, Tabassum Mehedi, Benojir Ahammed, Md Khairul Islam, Subarna Kundu, Murfia Muna, Maliha Mahajabin

Abstract read
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Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited 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 · The record

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5 · Who and what money

Authors and funding

7 authors.

Md Alamgir SarderStatistics Discipline, Science, Engineering and Technology School, Khulna University, Khulna, Bangladesh.ORCID https://orcid.org/0000-0003-4472-3051
Tabassum MehediStatistics Discipline, Science, Engineering and Technology School, Khulna University, Khulna, Bangladesh.
Benojir AhammedStatistics Discipline, Science, Engineering and Technology School, Khulna University, Khulna, Bangladesh.
Md Khairul IslamStatistics Discipline, Science, Engineering and Technology School, Khulna University, Khulna, Bangladesh.
Subarna KunduStatistics Discipline, Science, Engineering and Technology School, Khulna University, Khulna, Bangladesh.
Murfia MunaStatistics Discipline, Science, Engineering and Technology School, Khulna University, Khulna, Bangladesh.
Maliha MahajabinStatistics Discipline, Science, Engineering and Technology School, Khulna University, Khulna, Bangladesh.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesUnder-five mortality (U5M) remains a major global challenge, particularly in low-and lower-middle- income countries (LLMICs) where healthcare disparities are prevalent. This study evaluates the prevalence of U5M and examines the relative importance of its associated factors across 32 LLMICs.

methodsData from the Demographic and Health Survey (2011-2024) were used for analysis. A total of 266,333 children under five years of age were included to assess the association of 20 factors at both individual and community levels with U5M. The chi-square test and multivariate logistic regression model were applied to determine the association of these factors with U5M.

resultsAmong the children aged 0-59 months, the prevalence of U5M was 40.5 per 1,000 (95% CI: 39.8-41.2). In the pooled sample, at the individual level, family member (>7) was the strongest factor associated with U5M (adjusted odds ratio (AOR):1.27; 95% CI:1.22-1.33, p < 0.001), followed by maternal age ≥ 35 years (AOR: 1.25; 95% CI:1.20-1.30, p < 0.001), being a female child (AOR:1.19; 95% CI:1.15-1.24, p < 0.001), and maternal unemployment (AOR:1.10; 95% CI:1.05-1.14, p < 0.001). At the community level, high maternal illiteracy (AOR:1.52; 95% CI:1.35-1.70, p < 0.001) was the most significant factor, followed by rural residence (AOR:1.26; 95% CI:1.15-1.38, p < 0.001), high paternal illiteracy (AOR:1.20; 95% CI:1.10-1.30, p < 0.001), and high maternal unemployment (AOR: 1.10; 95% CI:1.02-1.20, p < 0.001). Furthermore, large family members at individual levels and high maternal illiteracy at the community level consistently rank among the top two strongest factors across most countries, with a few exceptions.

conclusionsIn LLMICs, U5M remains high, strongly associated with large family size and high maternal illiteracy. Governments and non-governmental organizations should promote maternal education and contraception use to facilitate birth spacing and family planning, while tailoring interventions to country-specific contexts.

Indexed as

Child MortalityDeveloping CountriesInfant MortalityAdultChild, PreschoolFemaleHealth SurveysHumansInfantInfant, NewbornMalePrevalenceRisk FactorsSocioeconomic Factors

Identifiers

PMID41264621
PMCPMC12633930

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