Evidence map›Paper›PMID 41420186›Full record

ArticleJournal of health, population, and nutrition2025

Baseline exposure-response assessment of metals from dried blood spots and personal household air pollution concentrations among pregnant women in Rwanda: household air pollution intervention network trial.

Adolphe Ndikubwimana, William Checkley, Yunyun Chen, Thomas Clasen, Carmen Lucía Contreras, Anaite Diaz-Artiga, Gloriose Bankundiye, Ephrem Dusabimana, Lisa de Las Fuentes, Shirin Jabbarzadeh and 21 more

Abstract read
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In one paragraph

Article in Journal of health, population, and nutrition, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

31 authors.

Adolphe NdikubwimanaSchool of Public Health, College of Medicine and Health Sciences, University of Rwanda, KG11, Kigali, Rwanda. aatuhire@gmail.com.
William CheckleyDivision of Pulmonary and Critical Care, and the Center for Non-Communicable Disease Research and Training, School of Medicine, Johns Hopkins University, Baltimore, MD, USA.
Yunyun ChenDepartment of Biostatistics and Bioinformatics, Rollins School of Public Health, Emory University, Atlanta, GA, USA.
Thomas ClasenGangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, GA, USA.
Carmen Lucía ContrerasCenter for Health Studies, Universidad del Valle de Guatemala, Guatemala City, Guatemala.
Anaite Diaz-ArtigaCenter for Health Studies, Universidad del Valle de Guatemala, Guatemala City, Guatemala.
Gloriose BankundiyeEagle Research Center, Kigali, Rwanda.
Ephrem DusabimanaEagle Research Center, Kigali, Rwanda.
Lisa de Las FuentesGlobal Health Center, Institute for Public Health and Cardiovascular Division, Department of Medicine, Washington University in St. Louis, St. Louis, MO, USA.
Shirin JabbarzadehDepartment of Biostatistics and Bioinformatics, Rollins School of Public Health, Emory University, Atlanta, GA, USA.
Michael JohnsonBerkeley Air Monitoring Group, Berkeley, USA.
Egide KalisaDepartment of Epidemiology and Biostatistics, Schulich School of Medicine and Dentistry, Western University, London, Canada.
Patrick KarakwendeSchool of Public Health, College of Medicine and Health Sciences, University of Rwanda, KG11, Kigali, Rwanda.
Miles A KirbyHarvard T.H. Chan School of Public Health, Boston, USA.
Amy E LovvornGangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, GA, USA.
John P McCrackenCenter for Health Studies, Universidad del Valle de Guatemala, Guatemala City, Guatemala.
Florien NdagijimanaEagle Research Center, Kigali, Rwanda.
Theoneste NtakirutimanaSchool of Public Health, College of Medicine and Health Sciences, University of Rwanda, KG11, Kigali, Rwanda.
Jean de Dieu NtivuguruzwaEagle Research Center, Kigali, Rwanda.
Jennifer L PeelDepartment of Environmental and Radiological Health Sciences, Colorado State University, 1681 Campus Delivery, Fort Collins, CO, 80523, USA.
Ajay PillarisettiDivision of Environmental Health Sciences, School of Public Health, University of California, Berkeley, CA, USA.
Victor G Dávila-RománGlobal Health Center, Institute for Public Health and Cardiovascular Division, Department of Medicine, Washington University in St. Louis, St. Louis, MO, USA.
Ghislaine RosaDepartment of Infectious and Tropical Diseases, Liverpool School of Tropical Medicine, Liverpool, UK.
Sarada S GargFaculty of Public Health, Sri Ramachandra Institute of Higher Education and Research, Chennai, India.
Lisa M ThompsonSchool of Nursing, University of California, San Francisco, CA, USA.
Lance A WallerDepartment of Biostatistics and Bioinformatics, Rollins School of Public Health, Emory University, Atlanta, GA, USA.
Jiantong WangDepartment of Biostatistics and Bioinformatics, Rollins School of Public Health, Emory University, Atlanta, GA, USA.
Maggie L ClarkDepartment of Environmental and Radiological Health Sciences, Colorado State University, 1681 Campus Delivery, Fort Collins, CO, 80523, USA.
Dana Boyd-BarrGangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, GA, USA.
Bonnie N YoungDepartment of Environmental and Radiological Health Sciences, Colorado State University, 1681 Campus Delivery, Fort Collins, CO, 80523, USA. bonnie.young@colostate.edu.
HAPIN investigators

Funding

Household Air Pollution and Health: A Multi-Country LPG Intervention TrialUM1HL134590 · NHLBI · EMORY UNIVERSITY · PI CHECKLEY, WILLIAM, CLASEN, THOMAS F · 2016 to 2021
$31.1M
Pilot Project ProgramP30ES019776 · NIEHS · EMORY UNIVERSITY · PI William Michael Caudle · 2013 to 2026
$22.6M
NHLBI NIH HHS UM1 HL134590NIEHS NIH HHS P30 ES019776
6 · The paper itself

Abstract

backgroundExposure to metals from the combustion of biomass via inhalation may result in negative health outcomes affecting a variety of organs and systems. Pregnant women cooking with biomass fuels may be exposed to metals, such as lead (Pb) and cadmium (Cd), and have unique risks for adverse health effects with potential impacts on the growing fetus. We assessed the associations between household air pollution and metals detected in dried blood spots from pregnant women at baseline in Rwanda.

methodsWe analyzed data from 781 pregnant women aged 18-35 years who resided in rural households using biomass fuel and who were enrolled in the Household Air Pollution Intervention Network (HAPIN) Trial in Rwanda. We explored associations between 24-h average natural log-transformed personal exposures to fine particulate matter (PM

resultsThe adjusted models showed positive but non-significant associations between air pollutant concentrations and metals detected in blood: PM₂.₅ and Pb (β coefficient: 0.06; 95% CI - 0.03-0.15), BC and Pb (0.11; 95% CI - 0.01-0.24), PM₂.₅ and Cd (0.04; 95% CI - 0.02-0.09), and BC with Cd (0.02; 95% CI - 0.05-0.09).

conclusionsWhile associations were not statistically significant, the directionally consistent increases in blood Pb and Cd with increased PM₂.₅ and BC exposures align with existing evidence and underscore the need for continued research and policy action to reduce household air pollution exposures and protect maternal and fetal health.

Indexed as

Air PollutantsAir Pollution, IndoorEnvironmental ExposureMaternal ExposureMetalsAdolescentAdultCadmiumCarbon MonoxideCookingDried Blood Spot TestingFamily CharacteristicsFemaleHumansLeadParticulate MatterAir PollutantsCadmiumCarbon MonoxideLeadMetalsParticulate MatterBiomass cookstoveCadmiumDried blood spotsIndoor air pollutionLeadRwanda

Identifiers

PMID41420186
PMCPMC12829154

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LicenceCC BY-NC-ND
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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.