Evidence map›Paper›PMID 41606644›Full record

ArticleJournal of health, population, and nutrition2026

A mixed-effects multilevel Poisson regression analysis of diarrhea prevalence among under-five children in Indonesia.

Issara Siramaneerat, Farid Agushybana, Pongsakorn Sunthrayuth

Abstract read
In one paragraph

Article in Journal of health, population, and nutrition, 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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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

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0 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.

Issara SiramaneeratDepartment of Social Science, Faculty of Liberal Arts, Rajamangala University of Technology Thanyaburi (RMUTT), 12110, Pathumthani, Thailand. issara_s@rmutt.ac.th.
Farid AgushybanaDepartment of Biostatistics and Population Study, Faculty of Public Health, Diponegoro University, Semarang, Indonesia.
Pongsakorn SunthrayuthDepartment of Mathematics and Computer Science, Faculty of Science and Technology, Rajamangala University of Technology Thanyaburi (RMUTT), 12110, Pathumthani, Thailand.

Funding

This work was supported by the Faculty of Public Health, Diponegoro University, Indonesia under Grant. 053/UN75.92/KS/2021
6 · The paper itself

Abstract

Diarrheal disease is the second leading cause of death in under-five children. This study assessed the prevalence and risk factors of diarrhea among under-five Indonesian children using data from the 2017 Indonesia Demography and Health Survey.The analysis included 17,263 children living with their mothers and was based on a multistage stratified sampling design. Diarrhea was defined as maternal report of an episode within the two weeks preceding the survey. Descriptive statistics and chi-square tests were used for preliminary analysis. Determinants of diarrhea were examined using mixed-effects multilevel Poisson regression to account for the hierarchical data structure, with region specified as a random effect. All analyses were conducted using Stata. The model included region as a random effect, allowing baseline diarrhea prevalence to vary across regions. Female children had a lower prevalence of diarrhea than males (APR = 0.883; 95%CI:0.815-0.956), while children aged 1-2 years had a higher prevalence compared with infants. Higher household wealth was strongly protective, with children from the richest households showing a substantially lower prevalence (APR = 0.720; 95%CI:0.611-0.812). Environmental factors remained significant in the multilevel framework, as households with standard sanitation facilities had lower diarrhea prevalence (APR = 0.871; 95%CI:0.776-0.976), and rural residence was associated with higher prevalence. The small random-effect variance indicated limited residual regional heterogeneity after adjustment. Childhood diarrhea in Indonesia is shaped by interacting individual, environmental, and community-level factors. Socioeconomic disadvantage and inadequate sanitation remain major contributors to diarrhea prevalence among under-five children. The limited residual regional variation suggests that improvements in household living conditions and sanitation, particularly in rural areas, could substantially reduce disease burden. Multilevel analytical approaches are crucial for informing targeted and effective public health interventions.

Indexed as

DiarrheaChild, PreschoolFemaleHealth SurveysHumansIndonesiaInfantMaleMultilevel AnalysisPoisson DistributionPrevalenceRegression AnalysisRisk FactorsRural PopulationSocioeconomic FactorsChildrenCommunity levelDiarrheaEnvironmental conditionIndonesiaMorbidity

Identifiers

PMID41606644
PMCPMC12958736

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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.