Evidence map›Paper›PMID 40820103›Full record

ArticleScientific reports2025

The comorbidities of diarrhea and acute respiratory tract infection and risk factors among under-five children in 45 low- and middle-income countries.

Berhan Tekeba, Deresse Abebe Gebrehana, Enyew Getaneh Mekonnen, Alebachew Ferede Zegeye, Chilot Kassa Mekonnen, Hailemichael Kindie Abate, Tewodros Getaneh Alemu, Mulugeta Wassie

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In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Berhan TekebaDepartment of Pediatrics and Child Health Nursing, School of Nursing, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia. berishboss7@gmail.com.
Deresse Abebe GebrehanaDepartment of Internal Medicine, School of Medicine, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia.
Enyew Getaneh MekonnenDepartment of Surgical Nursing, School of Nursing, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia.
Alebachew Ferede ZegeyeDepartment of Medical Nursing, School of Nursing, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia.
Chilot Kassa MekonnenDepartment of Medical Nursing, School of Nursing, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia.
Hailemichael Kindie AbateDepartment of Medical Nursing, School of Nursing, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia.
Tewodros Getaneh AlemuDepartment of Pediatrics and Child Health Nursing, School of Nursing, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia.
Mulugeta WassieSchool of Nursing, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Diarrhea and acute respiratory tract infections (ARIs) are the primary causes of morbidity and mortality in children under the age of five worldwide. However, there is a scarcity of up-to-date conclusive multi-country studies on the comorbidity of diarrhea and acute respiratory tract infection in under-five children in low- and middle-income countries. Therefore, this study aimed to assess the pooled magnitude and contributing factors of comorbidity of diarrhea and acute respiratory tract infection in low- and middle-income countries. A cross-sectional study design was employed with the most recent Demographic and Health Survey secondary data (DHS) from 2015 to 2024 in low- and middle-income countries. This secondary data was accessed from the DHS portal through an online request. The DHS is the global data collection initiative that provides detailed and high-quality data on population demographics, health, and nutrition in low- and middle-income countries. We used a weighted sample of 669,138 children aged 0-59 months. A multilevel mixed-effect binary logistic regression model was fitted to identify significant factors associated with comorbidity of diarrhea and ARI. The level of statistical significance was declared with a p-value < 0.05. This study found that 5.44% (95% CI: 5.38-5.49) of under-five children in low- and middle-income countries developed a comorbidity of diarrhea and acute respiratory tract infection. Maternal age, child age, wealth index, child sex, birth size, media exposure, vaccination status, health insurance, survey year, residence, country income level, and geographic region were significantly associated with the comorbidity of diarrhea and acute respiratory infection. This study revealed that a sizable portion of under-five children developed a comorbidity of diarrhea and ARI in low- and middle-income countries. Both individual and community-level factors are significantly associated with the comorbidity of diarrhea and ARI. Therefore, the World Health Organization, with its partners, should inform respective countries executives and policymakers to focus on younger children, teenage mothers, media coverage, clean water provision, childhood vaccination, and extreme birth-weight babies. Moreover, low- and middle-income countries are encouraged to strengthen health insurance coverage, expand healthcare infrastructure, pursue sustainable economic growth, and foster intergovernmental collaboration to mitigate the comorbidity of diarrhea and acute respiratory tract infections.

Indexed as

DiarrheaRespiratory Tract InfectionsAcute DiseaseChild, PreschoolComorbidityCross-Sectional StudiesDeveloping CountriesFemaleHumansInfantInfant, NewbornMaleRisk Factors2015−2013Acute respiratory tract infectionComorbidityDiarrheaLow-and-middle income

Identifiers

PMID40820103
PMCPMC12358556

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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.