Evidence map›Paper›PMID 32044526›Full record

ArticleEnvironment international2020

Household air pollution profiles associated with persistent childhood cough in urban Uganda.

Eric Coker, Achilles Katamba, Samuel Kizito, Brenda Eskenazi, J Lucian Davis

Abstract read
In one paragraph

Article in Environment international, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

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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

5 authors.

Eric CokerUniversity of Florida, Department of Environmental and Global Health, 1225 Center Dr., Rm 4160, Gainesville, FL 32610, United States; Center for Environmental Research and Children's Health (CERCH), University of California, Berkeley, School of Public Health, 1995 University Avenue, Suite 265, Berkeley, CA 94720-7392, United States. Electronic address: eric.coker@phhp.ufl.edu.
Achilles KatambaClinical Epidemiology & Biostatistics Unit, Department of Medicine, Makerere University College of Health Sciences, New Mulago Hill Rd, Kampala, Uganda. Electronic address: axk95@case.edu.
Samuel KizitoClinical Epidemiology & Biostatistics Unit, Department of Medicine, Makerere University College of Health Sciences, New Mulago Hill Rd, Kampala, Uganda. Electronic address: somekizito@yahoo.com.
Brenda EskenaziCenter for Environmental Research and Children's Health (CERCH), University of California, Berkeley, School of Public Health, 1995 University Avenue, Suite 265, Berkeley, CA 94720-7392, United States. Electronic address: eskenazi@berkeley.edu.
J Lucian DavisDepartment of Epidemiology of Microbial Diseases, Yale School of Public Health, 60 College Street, New Haven, CT 06510, United States; Pulmonary Critical Care and Sleep Medicine Section, Department of Internal Medicine, Yale School of Medicine, 300 Cedar Street TAC - 441 South, New Haven, CT 06520-8057, United States. Electronic address: lucian.davis@yale.edu.

Funding

Research Mentoring and Building Capacity of underrepresented Minority Research Scientists in India.D43TW010540 · FIC · YALE UNIVERSITY · PI MICHELE BARRY, Eva Harris · 2017 to 2026
$15.5M
Global Health Fellows and Scholars Research TrainingR25TW009338 · FIC · UNIVERSITY OF CALIFORNIA BERKELEY · PI BARRY, MICHELE, KO, ALBERT ICKSANG · 2012 to 2016
$5.2M
FIC NIH HHS D43 TW010540FIC NIH HHS R25 TW009338
6 · The paper itself

Abstract

backgroundMost household air pollution (HAP) interventions in developing countries of sub-Saharan Africa have focused on a single source, such as replacing polluting cooking sources with cleaner burning cooking stoves. Such interventions, however, have resulted in insufficient reductions in HAP levels and respiratory health risks in children. In this study we determined how multiple HAP combustion sources and exposure-mitigation factors in the home environment influence child respiratory health alone and in combination.

methodsWe carried out a case-control study to determine associations between multiple indicators of HAP and persistent cough among children (<15 years of age) seeking care at three primary-care clinics in Kampala, Uganda. HAP indicators included self-report of combustion sources inside the home (e.g., stove type, fuel type, and smoking); housing characteristics and cooking practices that mitigate HAP exposure (e.g., use of windows, location of cooking, location of children during cooking) and perceptions of neighborhood air quality. To explore joint associations between indicators of HAP, we applied a Bayesian clustering technique (Bayesian profile regression) to identify HAP indicator profiles most strongly associated with persistent cough in children.

resultsMost HAP indicators demonstrated significant positive bivariate associations with persistent cough among children, including fuel-type (kerosene), the number of hours burning solid fuels, use of polluting fuels (kerosene or candles) for lighting the home, tobacco smoking indoors, cooking indoors, cooking with children indoors, lack of windows in the cooking area, and not opening windows while cooking. Bayesian cluster analysis revealed 11 clusters of HAP indicator profiles. Compared to a reference cluster that was representative of the underlying study population cough prevalence, three clusters with profiles characterized by highly adverse HAP indicators resulted in ORs of 1.72 (95% credible interval: 1.15, 2.60), 4.74 (2.88, 8.0), and 8.6 (3.9, 23.9). Conversely, at least two clusters of HAP indicator-profiles were protective compared to the reference cluster, despite the fact that these protective HAP indicator profiles used solid fuels for cooking in combination with an unimproved stove (cooking was performed predominantly outdoors in these protective clusters).

conclusionsIn addition to cooking fuel and type of cook stove, multiple HAP indicators were strongly associated with persistent cough in children. Bayesian profile regression revealed that the combination of HAP sources and HAP exposure-mitigating factors was driving risk of adverse cough associations in children, rather than any single HAP source at the home.

Indexed as

Air PollutionAir Pollution, IndoorCoughAdolescentBayes TheoremCase-Control StudiesChildCookingEnvironmental ExposureHumansRural PopulationUgandaAfricaClusteringHousehold air pollutionLungRespiratoryUrban

Identifiers

PMID32044526
PMCPMC8772432

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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.