{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Shackelford BB"],"funding":["NHLBI NIH HHS","National Institutes of Health","Bill and Melinda Gates Foundation"],"pagination":["122258"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC12378927"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["285(Pt 1)"],"pubmed_abstract":["Exposure to household air pollution from cooking with biomass is a risk factor for infant morbidity and mortality. The Household Air Pollution Intervention Network (HAPIN) evaluated the effects of a liquefied petroleum gas (LPG) stove and fuel intervention on air pollutant exposure and health outcomes among 3195 pregnant women (nine to 19 weeks' gestation) and their infants in Guatemala, India, Peru, and Rwanda. We measured PM<sub>2.5</sub> exposure among women before childbirth and infants in the postnatal period. Infant death was monitored for the entirety of the study, while data on acute ear infections, diarrhea, cough, and rapid and/or difficulty breathing were collected at four timepoints. Multivariable logistic regression models, adjusted for demographics and repeated measures withi"],"journal":["Environmental research"],"pubmed_title":["Gestational and postnatal exposures to fine particulate matter (PM&lt;sub&gt;2.5&lt;/sub&gt;) and their association with acute ear infections, diarrhea, respiratory symptoms, and mortality: A longitudinal study of infants in the multicountry Household Air Pollution Intervention Network (HAPIN) trial."],"pmcid":["PMC12378927"],"funding_grant_id":["UM1 HL134590","1UM1HL134590","OPP1131279"],"pubmed_authors":["Hartinger SM","Barr DB","Papageorghiou AT","Harvey SA","Hossen S","Howards PP","Simkovich S","Underhill LJ","Smith KR","Williams KN","Toenjes A","Leon O","Johnson MA","Puttaswamy N","Mukeshimana A","Monroy L","Sambandam S","McPeek JN","Sinharoy SS","Canuz E","Meyers R","Ramakrishnan U","Thompson LM","Kirby MA","Contreras CL","Laws MA","Swearing D","Steenland K","Ye W","Rajkumar S","Lee G","Jaime Miranda J","Liao J","Puzzolo E","HAPIN Investigators","Howard M","Balakrishnan K","Natesan D","Ramirez A","Ghosh A","Peel JL","Bussalleu A","Mbabazi J","Herrera P","McCollum ED","Thangavel G","Bankundiye G","Lenzen P","Young BN","Hamid S","Elon L","Davila-Roman VG","Fuentes ISP","Panuwet P","Kremer J","Mukhopadhyay K","Gupton S","Warnock M","Wang J","Clasen TF","Verma A","Kearns K","Jabbarzadeh S","Chen Y","Hennessee I","Lovvorn AE","Diaz-Artiga A","Espinoza JG","Garg SS","Ramasami R","Chiang M","Mollinedo E","Younger A","Mutariyani B","Goodman-Palmer D","Hengstermann M","Piedrahita R","Valdes V","McCracken JP","Mutabazi M","Dusabimana E","Fuentes LL","Dieu Ntivuguruzwa J","Rajamani KD","Aravindalochanan V","Ndagijimana F","Craik R","Burrowes V","Rosenthal J","Waller LA","Naeher LP","Clark ML","Shackelford BB","Castanaza A","Rosa G","Chang HH","Saidam S","Checkley W","Campbell D","Barry Ryan P","Pillarisetti A","D'Souza P","Nizam A","Nicolaou L"],"additional_accession":[]},"is_claimable":false,"name":"Gestational and postnatal exposures to fine particulate matter (PM&lt;sub&gt;2.5&lt;/sub&gt;) and their association with acute ear infections, diarrhea, respiratory symptoms, and mortality: A longitudinal study of infants in the multicountry Household Air Pollution Intervention Network (HAPIN) trial.","description":"Exposure to household air pollution from cooking with biomass is a risk factor for infant morbidity and mortality. The Household Air Pollution Intervention Network (HAPIN) evaluated the effects of a liquefied petroleum gas (LPG) stove and fuel intervention on air pollutant exposure and health outcomes among 3195 pregnant women (nine to 19 weeks' gestation) and their infants in Guatemala, India, Peru, and Rwanda. We measured PM<sub>2.5</sub> exposure among women before childbirth and infants in the postnatal period. Infant death was monitored for the entirety of the study, while data on acute ear infections, diarrhea, cough, and rapid and/or difficulty breathing were collected at four timepoints. Multivariable logistic regression models, adjusted for demographics and repeated measures withi","dates":{"release":"2025-01-01T00:00:00Z","publication":"2025 Jul","modification":"2026-05-09T17:57:31.282Z","creation":"2026-04-08T01:08:14.728Z"},"accession":"S-EPMC12378927","cross_references":{"pubmed":["40614849"],"doi":["10.1016/j.envres.2025.122258"]}}