Evidence map›Paper›PMID 39555033›Full record

ArticleFrontiers in public health2024

Exposure to household air pollution and childhood multimorbidity risk in Jimma, Ethiopia.

Elias Mulat, Dessalegn Tamiru, Kalkidan Hassen Abate

Abstract read
In one paragraph

Article in Frontiers in public health, 2024. 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

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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.

  1. Article
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4 · The record

Corrections and comments

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

3 authors.

Elias MulatDepartment of Biomedical Sciences, Institute of Health, Jimma University, Jimma, Ethiopia.
Dessalegn TamiruDepartment of Nutrition and Dietetics, Food and Nutrition Research Institute, Jimma University, Jimma, Ethiopia.
Kalkidan Hassen AbateDepartment of Nutrition and Dietetics, Food and Nutrition Research Institute, Jimma University, Jimma, Ethiopia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Childhood multimorbidity, characterized by the simultaneous occurrence of multiple medical conditions in children, is a global concern. Notably, exposure to household air pollution has been linked to various health issues, particularly affecting vulnerable segments of the population residing in poorly ventilated homes. However, evidence regarding the impact of household air pollution on the risk of multimorbidity in low-income settings remains scarce. Therefore, this study aims to investigate the association between household air pollution and childhood multimorbidity in Jimma, Ethiopia. Methods: A comparative cross-sectional study was conducted to collect data from 280 children under the age of five who lived in households using solid fuel ( Results: The overall prevalence of childhood multimorbidity was 34.3% [95% CI: 0.29-0.40]. Among these cases, 23.9% were among children from solid fuel user households, whereas about 10.4% were from clean fuel user households. Adjusted for all possible socioeconomic, demographic, water, sanitation, hygiene, and health care covariates, children living in solid fuel user households had more than three times the odds of childhood multimorbidity compared to children living in clean fuel user households (AOR = 3.14, 95% CI [1.42-6.95], Conclusion: Solid fuel use was an independent predictor of childhood morbidity risk. Efficient policies and strategies, such as the integration of environmental regulation policies into the healthcare system aimed at the reduction of harmful air pollutants and their adverse health effects on children, need to be implemented.

Indexed as

Air Pollution, IndoorMultimorbidityChild, PreschoolCookingCross-Sectional StudiesEnvironmental ExposureEthiopiaFamily CharacteristicsFemaleHumansInfantMalePrevalenceRisk FactorsSocioeconomic FactorsSurveys and QuestionnaireschildrenEthiopiahousehold air pollutionmorbiditymultimorbidityparticulate mattersolid fuels

Identifiers

PMID39555033
PMCPMC11566616

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.