Evidence map›Paper›PMID 41845341›Full record

ArticleBMC public health2026

Multilevel modeling and mediation analysis of acute respiratory infections among under five children in Bangladesh: evidence from multiple indicator cluster survey.

Shohel Mahmud, Razia Sultana, Md Sakawat Hossain, Morzina Akhter, Mohammad Emran Hossain

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Article in BMC public health, 2026. 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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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Shohel MahmudDepartment of Statistics, Noakhali Science and Technology University, Noakhali, 3814, Bangladesh. smahmud@nstu.edu.bd.ORCID http://orcid.org/0000-0002-1774-1636
Razia SultanaDepartment of Statistics, Noakhali Science and Technology University, Noakhali, 3814, Bangladesh.ORCID http://orcid.org/0009-0000-7877-4477
Md Sakawat HossainDepartment of Statistics, Noakhali Science and Technology University, Noakhali, 3814, Bangladesh.ORCID http://orcid.org/0009-0007-2278-9849
Morzina AkhterDepartment of Statistics, Noakhali Science and Technology University, Noakhali, 3814, Bangladesh.ORCID http://orcid.org/0009-0002-2804-8615
Mohammad Emran HossainNoakhali Medical College, Noakhali, 3821, Bangladesh.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAcute respiratory infection (ARI) is a major health problem in Bangladesh but limited evidence exists on its prevalence, determinants, and mediating factors among under-five children using nationally representative data.

methodsUsing data from the 2019 Multiple Indicator Cluster Survey (MICS), this study analyzed ARI prevalence among 24,686 children aged 0–59 months (under five years). Multilevel logistic regression was employed to identify ARI determinants while accounting for the hierarchical data structure. Furthermore, mediation analysis was conducted to evaluate the mediating roles of maternal education, stunting, and kitchen location in the association between the wealth index and ARI.

resultsThe prevalence of ARI was 7.54%. The mean age of the children was 2.02 years (SD: 1.42 years), and among respondents 51.5% were male and 48.5% were female. The prevalence of ARI was higher among male (56.3%) children than female (43.7%) children. Chi-square tests showed that gender, age, parental age, wealth index, kitchen location, and stunting were significantly associated with ARI (p < 0.05). Multilevel logistic regression revealed that females (AOR: 0.79, 95% CI: 0.72–0.88) and older children aged 24–59 months (AOR: 0.61, 95% CI: 0.55–0.68) had significantly lower ARI risk. Conversely, separate (AOR: 1.28) or outdoor kitchens (AOR: 1.22) and stunting (AOR: 1.19) were associated with increased risk. Compared to Barishal, the ARI risk was lower in Dhaka (AOR: 0.54) but higher in Mymensingh (AOR: 1.87). Mediation analysis showed that kitchen location (30.5%) and stunting (14.7%) mediated the relationship between the wealth index and ARI prevalence.

conclusionIn addition to treatment, nutrition improvement, safe cooking environment, and regional planning are essential. Promoting and strengthening health education could further help in reducing ARI. These interventions are also aligned with the Sustainable Development Goals (SDG 3: good health and well-being), and could contribute to achieving national and global health targets.

Indexed as

Respiratory Tract InfectionsAcute DiseaseBangladeshChild, PreschoolCluster AnalysisFemaleGrowth DisordersHumansInfantInfant, NewbornLogistic ModelsMaleMultilevel AnalysisPrevalenceRisk FactorsSocioeconomic FactorsAcute respiratory infectionsBangladeshCooking environmentMICSNutritional statusStuntingUnder five children

Identifiers

PMID41845341
PMCPMC13107619

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LicenceCC BY-NC-ND
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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.