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Exposure Contrasts of Pregnant Women during the Household Air Pollution Intervention Network Randomized Controlled Trial.
Johnson, Michael; Pillarisetti, Ajay; Piedrahita, Ricardo; Balakrishnan, Kalpana; Peel, Jennifer L; Steenland, Kyle; Underhill, Lindsay J; Rosa, Ghislaine; Kirby, Miles A; Díaz-Artiga, Anaité; McCracken, John; Clark, Maggie L; Waller, Lance; Chang, Howard H; Wang, Jiantong; Dusabimana, Ephrem; Ndagijimana, Florien; Sambandam, Sankar; Mukhopadhyay, Krishnendu; Kearns, Katherine A; Campbell, Devan; Kremer, Jacob; Rosenthal, Joshua P; Checkley, William; Clasen, Thomas; Naeher, Luke.
Afiliação
  • Johnson M; Berkeley Air Monitoring Group, Berkeley, California, USA.
  • Pillarisetti A; Division of Environmental Health Sciences, School of Public Health, University of California, Berkeley, California, USA.
  • Piedrahita R; Berkeley Air Monitoring Group, Berkeley, California, USA.
  • Balakrishnan K; Department of Environmental Health Engineering, ICMR Center for Advanced Research on Air Quality, Climate and Health, Sri Ramachandra Medical College and Research Institute, Sri Ramachandra Institute for Higher Education and Research (Deemed University), Chennai, India.
  • Peel JL; Department of Environmental and Radiological Health Sciences, Colorado State University, Fort Collins, Colorado, USA.
  • Steenland K; Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, Georgia, USA.
  • Underhill LJ; Cardiovascular Division, School of Medicine, Washington University, St. Louis, Missouri, USA.
  • Rosa G; Department of Infectious and Tropical Diseases, London School of Hygiene & Tropical Medicine, London, UK.
  • Kirby MA; Global Health and Population, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA.
  • Díaz-Artiga A; Universidad del Valle de Guatemala, Guatemala City, Guatemala.
  • McCracken J; Department of Environmental Health Science, College of Public Health, University of Georgia, Athens, Georgia, USA.
  • Clark ML; Department of Environmental and Radiological Health Sciences, Colorado State University, Fort Collins, Colorado, USA.
  • Waller L; Department of Biostatistics and Bioinformatics, Rollins School of Public Health, Emory University, Atlanta, Georgia, USA.
  • Chang HH; Department of Biostatistics and Bioinformatics, Rollins School of Public Health, Emory University, Atlanta, Georgia, USA.
  • Wang J; Department of Biostatistics and Bioinformatics, Rollins School of Public Health, Emory University, Atlanta, Georgia, USA.
  • Dusabimana E; Eagle Research Center, Kigali, Rwanda.
  • Ndagijimana F; Eagle Research Center, Kigali, Rwanda.
  • Sambandam S; Department of Environmental Health Engineering, ICMR Center for Advanced Research on Air Quality, Climate and Health, Sri Ramachandra Medical College and Research Institute, Sri Ramachandra Institute for Higher Education and Research (Deemed University), Chennai, India.
  • Mukhopadhyay K; Department of Environmental Health Engineering, ICMR Center for Advanced Research on Air Quality, Climate and Health, Sri Ramachandra Medical College and Research Institute, Sri Ramachandra Institute for Higher Education and Research (Deemed University), Chennai, India.
  • Kearns KA; Department of Environmental Health Science, College of Public Health, University of Georgia, Athens, Georgia, USA.
  • Campbell D; Department of Environmental Health Science, College of Public Health, University of Georgia, Athens, Georgia, USA.
  • Kremer J; Department of Environmental Health Science, College of Public Health, University of Georgia, Athens, Georgia, USA.
  • Rosenthal JP; Division of Epidemiology and Population Studies, Fogarty International Center, National Institutes of Health, Bethesda, Maryland, USA.
  • Checkley W; Division of Pulmonary and Critical Care, School of Medicine, Johns Hopkins University, Baltimore, Maryland, USA.
  • Clasen T; Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, Georgia, USA.
  • Naeher L; Department of Environmental Health Science, College of Public Health, University of Georgia, Athens, Georgia, USA.
Environ Health Perspect ; 130(9): 97005, 2022 09.
Article em En | MEDLINE | ID: mdl-36112539
ABSTRACT

BACKGROUND:

Exposure to PM2.5 arising from solid fuel combustion is estimated to result in ∼2.3 million premature deaths and 91 million lost disability-adjusted life years annually. Interventions attempting to mitigate this burden have had limited success in reducing exposures to levels thought to provide substantive health benefits.

OBJECTIVES:

This paper reports exposure reductions achieved by a liquified petroleum gas (LPG) stove and fuel intervention for pregnant mothers in the Household Air Pollution Intervention Network (HAPIN) randomized controlled trial.

METHODS:

The HAPIN trial included 3,195 households primarily using biomass for cooking in Guatemala, India, Peru, and Rwanda. Twenty-four-hour exposures to PM2.5, carbon monoxide (CO), and black carbon (BC) were measured for pregnant women once before randomization into control (n=1,605) and LPG (n=1,590) arms and twice thereafter (aligned with trimester). Changes in exposure were estimated by directly comparing exposures between intervention and control arms and by using linear mixed-effect models to estimate the impact of the intervention on exposure levels.

RESULTS:

Median postrandomization exposures of particulate matter (PM) with aerodynamic diameter ≤2.5µm (PM2.5) in the intervention arm were lower by 66% at the first (71.5 vs. 24.1 µg/m3), and second follow-up visits (69.5 vs. 23.7 µg/m3) compared to controls. BC exposures were lower in the intervention arm by 72% (9.7 vs. 2.7 µg/m3) and 70% (9.6 vs. 2.8 µg/m3) at the first and second follow-up visits, respectively, and carbon monoxide exposure was 82% lower at both visits (1.1 vs. 0.2 ppm) in comparison with controls. Exposure reductions were consistent over time and were similar across research locations.

DISCUSSION:

Postintervention PM2.5 exposures in the intervention arm were at the lower end of what has been reported for LPG and other clean fuel interventions, with 69% of PM2.5 samples falling below the World Health Organization Annual Interim Target 1 of 35 µg/m3. This study indicates that an LPG intervention can reduce PM2.5 exposures to levels at or below WHO targets. https//doi.org/10.1289/EHP10295.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Petróleo / Poluição do Ar Tipo de estudo: Clinical_trials Limite: Female / Humans / Pregnancy Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Petróleo / Poluição do Ar Tipo de estudo: Clinical_trials Limite: Female / Humans / Pregnancy Idioma: En Ano de publicação: 2022 Tipo de documento: Article