Evidence map›Paper›PMID 40495115›Full record

ArticleBMC public health2025

Exposure-response relationship of household air pollution on body mass index among women in rural areas of Guatemala, India, Peru and Rwanda: household air pollution intervention network trial.

Adolphe Ndikubwimana, William Checkley, Yunyun Chen, Thomas Clasen, Carmen Lucía Contreras, Anaite Diaz-Artiga, Ephrem Dusabimana, Lisa de Las Fuentes, Shirin Jabbarzadeh, Michael Johnson and 19 more

Abstract read
In one paragraph

Article in BMC public health, 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.

  1. Article
  2. Association between PMBMC cardiovascular disorders · 2026
    Article
  3. Personal fine particulate matter (PMBMC public health · 2026
    Article
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

29 authors.

Adolphe NdikubwimanaSchool of Public Health, College of Medicine and Health Sciences, University of Rwanda, Kigali, KG11, 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.
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, Kigali, KG11, Rwanda.
Miles 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, Kigali, KG11, Rwanda.
Jean Dieu NtivuguruzwaEagle Research Center, Kigali, Rwanda.
Jennifer L PeelDepartment of Environmental and Radiological Health Sciences, Colorado State University, Fort Collins, CO, 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 ThompsonGangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, GA, 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, Fort Collins, CO, USA.
Bonnie N YoungDepartment of Environmental and Radiological Health Sciences, Colorado State University, Fort Collins, CO, USA.
HAPIN investigators

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHousehold air pollution from burning biomass materials, the main cooking fuel in low- and middle-income countries, may be linked to metabolic dysfunction. We assessed cross-sectional associations between household air pollution and body mass index (BMI), expecting to see increased BMI with higher pollution concentrations.

methodsWe analyzed data from 414 women aged 40 to 79 years who resided in the households using biomass fuel and were enrolled in the multi-country Household Air Pollution Intervention Network (HAPIN) Trial. We explored associations of 24-h average personal exposure to fine particulate matter (PM

resultsWe observed mixed evidence of associations between household air pollution and BMI in linear regression. There was no association with BMI and PM₂.₅ (1-unit increase in log-transformed PM₂.₅ estimate 0.02 kg/m

conclusionsEvidence suggests a significant association between CO exposure and increased odds of being overweight/obese, whereas impacts of PM

Indexed as

Air Pollution, IndoorBody Mass IndexEnvironmental ExposureRural PopulationAdultAgedCarbon MonoxideCookingCross-Sectional StudiesFemaleGuatemalaHumansIndiaMiddle AgedParticulate MatterPeruCarbon MonoxideParticulate MatterBiomass cookstoveBMIIndoor air pollutionLow-and middle-income countries

Identifiers

PMID40495115
PMCPMC12150507

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.