1
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Ye W, Campbell D, Johnson M, Balakrishnan K, Peel JL, Steenland K, Underhill LJ, Rosa G, Kirby MA, Díaz-Artiga A, McCracken J, Thompson LM, Clark ML, Waller LA, Chang HH, Wang J, Dusabimana E, Ndagijimana F, Sambandam S, Mukhopadhyay K, Chiang M, Hartinger SM, Nicolaou L, Williams K, Piedrahita R, Kearns KA, Kremer J, Ghosh A, Rosenthal JP, Checkley W, Clasen T, Naeher L, Pillarisetti A. Exposure Contrasts of Women Aged 40-79 Years during the Household Air Pollution Intervention Network Randomized Controlled Trial. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2025; 59:69-81. [PMID: 39807588 PMCID: PMC11740992 DOI: 10.1021/acs.est.4c06337] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/03/2024] [Revised: 12/11/2024] [Accepted: 12/12/2024] [Indexed: 01/16/2025]
Abstract
Exposure to household air pollution has been linked to adverse health outcomes among women aged 40-79. Little is known about how shifting from biomass cooking to a cleaner fuel like liquefied petroleum gas (LPG) could impact exposures for this population. We report 24-h exposures to particulate matter (PM2.5), black carbon (BC), and carbon monoxide (CO) among women aged 40 to <80 years participating in the Household Air Pollution Intervention Network trial. 209 participants were randomized to the intervention and received an LPG stove and continuous fuel supply; controls used biomass (n = 209). Exposures were measured up to six times; we used mixed-effects models to estimate differences between intervention and control groups. Preintervention exposures between groups were comparable; median postintervention exposures were 62% (76.3 vs 29.3 μg/m3), 73% (10.4 vs 2.8 μg/m3), and 57% (1.4 vs 0.6 ppm) lower for PM2.5, BC, and CO among LPG users than for controls. Reductions were similar across countries; 70% of PM2.5 exposures after intervention were below the annual WHO interim target I (IT-1) value of 35 μg/m3. We provide evidence that implementing an LPG intervention can reduce air pollution exposure over an 18-month period to at or below the annual WHO IT-1 guideline.
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Affiliation(s)
- Wenlu Ye
- Division
of Environmental Health Sciences, School of Public Health, University of California, Berkeley, California 94609, United States
| | - Devan Campbell
- Department
of Environmental Health Sciences, University
of Georgia, Athens, Georgia 30602, United States
| | - Michael Johnson
- Berkeley
Air Monitoring Group, Berkeley, California 94701, United States
| | - Kalpana Balakrishnan
- Department
of Environmental Health Engineering, ICMR Center for Advanced Research
on Air Quality, Climate and Health, Sri
Ramachandra Institute for Higher Education and Research (Deemed University), Chennai 600001, India
| | - Jennifer L. Peel
- Department
of Environmental and Radiological Health Sciences, Colorado State University, Fort
Collins, Colorado 80523, United States
| | - Kyle Steenland
- Gangarosa
Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, Georgia 30322, United States
| | - Lindsay J. Underhill
- Global
Health Center, Institute for Public Health and Cardiovascular Division,
Department of Medicine, Washington University, St. Louis, Missouri 63110, United States
| | - Ghislaine Rosa
- Clean
Air (Africa) Global Health Research Group, University of Liverpool, Liverpool L69 3GF, U.K.
| | - Miles A. Kirby
- Department
of Global Health and Population, Harvard T H Chan School of Public
Health, Harvard University, Boston, Massachusetts 02115, United States
| | - Anaité Díaz-Artiga
- Center
for Health Studies, Universidad del Valle de Guatemala, Guatemala City 01015, Guatemala
| | - John McCracken
- Department
of Environmental Health Sciences, University
of Georgia, Athens, Georgia 30602, United States
| | - Lisa M. Thompson
- Nell
Hodgson Woodruff School of Nursing and Gangarosa Department of Environmental
Health, Emory University, Atlanta 30322, Georgia, United States
| | - Maggie L. Clark
- Department
of Environmental and Radiological Health Sciences, Colorado State University, Fort
Collins, Colorado 80523, United States
| | - Lance A. Waller
- Department
of Biostatistics and Bioinformatics, Emory
University, Atlanta, Georgia 30322, United States
| | - Howard H. Chang
- Department
of Biostatistics and Bioinformatics, Emory
University, Atlanta, Georgia 30322, United States
| | - Jiantong Wang
- Department
of Biostatistics and Bioinformatics, Emory
University, Atlanta, Georgia 30322, United States
| | | | | | - Sankar Sambandam
- Department
of Environmental Health Engineering, ICMR Center for Advanced Research
on Air Quality, Climate and Health, Sri
Ramachandra Institute for Higher Education and Research (Deemed University), Chennai 600001, India
| | - Krishnendu Mukhopadhyay
- Department
of Environmental Health Engineering, ICMR Center for Advanced Research
on Air Quality, Climate and Health, Sri
Ramachandra Institute for Higher Education and Research (Deemed University), Chennai 600001, India
| | | | - Stella M Hartinger
- Facultad
de Salud Pública y Administración, Universidad Peruana Cayetano Heredia, Lima 15102, Peru
| | - Laura Nicolaou
- Division
of Pulmonary and Critical Care, School of Medicine and Center for
Global Non-Communicable Disease Research and Training, Johns Hopkins University, Baltimore, Maryland 21205, United States
| | - Kendra Williams
- Division
of Pulmonary and Critical Care, School of Medicine and Center for
Global Non-Communicable Disease Research and Training, Johns Hopkins University, Baltimore, Maryland 21205, United States
| | - Ricardo Piedrahita
- Berkeley
Air Monitoring Group, Berkeley, California 94701, United States
| | - Katherine A. Kearns
- Department
of Environmental Health Sciences, University
of Georgia, Athens, Georgia 30602, United States
| | - Jacob Kremer
- Department
of Environmental Health Sciences, University
of Georgia, Athens, Georgia 30602, United States
| | - Ahana Ghosh
- Berkeley
Air Monitoring Group, Berkeley, California 94701, United States
| | - Joshua P. Rosenthal
- Division
of Epidemiology and Population Studies, Fogarty International Center, National Institutes of Health, Bethesda, Maryland 20892, United States
| | - William Checkley
- Division
of Pulmonary and Critical Care, School of Medicine and Center for
Global Non-Communicable Disease Research and Training, Johns Hopkins University, Baltimore, Maryland 21205, United States
| | - Thomas Clasen
- Gangarosa
Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, Georgia 30322, United States
| | - Luke Naeher
- Department
of Environmental Health Sciences, University
of Georgia, Athens, Georgia 30602, United States
| | - Ajay Pillarisetti
- Division
of Environmental Health Sciences, School of Public Health, University of California, Berkeley, California 94609, United States
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2
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Raheel H, Sinharoy S, Diaz-Artiga A, Garg SS, Pillarisetti A, Balakrishnan K, Chiang M, Lovvorn A, Kirby M, Ramakrishnan U, Jabbarzadeh S, Mukeshimana A, Johnson M, McCracken JP, Naeher LP, Rosa G, Wang J, Rosenthal J, Checkley W, Clasen TF, Peel JL, Thompson LM. Effects of a liquefied petroleum gas stove and fuel intervention on head circumference and length at birth: A multi-country household air pollution intervention network (HAPIN) trial. ENVIRONMENT INTERNATIONAL 2025; 195:109211. [PMID: 39729872 PMCID: PMC11757157 DOI: 10.1016/j.envint.2024.109211] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/26/2024] [Revised: 11/19/2024] [Accepted: 12/13/2024] [Indexed: 12/29/2024]
Abstract
BACKGROUND Air pollution may impair child growth and cognitive development, with potential markers including birth length and head circumference. METHODS The Household Air Pollution Intervention Network (HAPIN) trial was an open label multi-country-randomized controlled trial, with 3200 pregnant women aged 18-34 years (9-19 weeks of gestation) randomly assigned in a 1:1 ratio to receive liquefied petroleum gas (LPG) stove intervention compared to women continuing to cook with solid fuels for 18 months. Particulate matter ≤ 2.5 μm (PM2.5), black carbon (BC) and carbon monoxide (CO) 24-hour personal exposures were measured three times during pregnancy. Head circumference and length were measured < 24 h of birth. We conducted intention-to-treat and exposure-response analyses to determine the intervention effects and associations between household air pollution (HAP) exposure during pregnancy and head circumference, head circumference-for-gestational age Z-score, length, and length-for-gestational age Z-scores at birth. CLINICALTRIALS gov. RESULTS Between May 2018, and Feb 2020, 3200 pregnant women were randomly assigned to intervention (n = 1593) and control groups (n = 1607) with 3060 births included in the analysis. There was a 71.9 % reduction in PM2.5 in the intervention group with similar reductions for BC and CO. Intention-to-treat analysis showed that the intervention did not affect head circumference (β = -0.01 cm, 95 %CI -0.11, 0.09), head circumference-for-gestational age Z-score (β = -0.01, 95 %CI -0.08, 0.07), or birth length (β = 0.14 cm, 95 %CI -0.01, 0.29) but did increase birth length-for-gestational age Z-score (β = 0.09, 95 %CI 0.01, 0.16). After covariate adjustment, exposure-response analysis revealed that each log-unit increase in BC was associated with a decrease in birth length-for-gestational age Z-score (β = -0.07, 95 %CI -0.13, -0.005). There was no evidence of hypothesized associations with PM2.5 or CO. CONCLUSION An LPG intervention reduced HAP exposure during pregnancy but had minor effects on birth length-for-gestational age Z-score. Birth length-for-gestational age was only associated with BC. CLINICAL TRIAL REGISTRATION The study has been registered with ClinicalTrials.gov (Identifier NCT02944682).
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Affiliation(s)
- Hina Raheel
- Nell Hodgson Woodruff School of Nursing, Emory University, Atlanta, GA, USA.
| | - Sheela Sinharoy
- Hubert Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, USA
| | - Anaité Diaz-Artiga
- Center for Health Studies, Universidad del Valle de Guatemala, Guatemala City, Guatemala
| | - Sarada S Garg
- ICMR Center for Advanced Research on Air Quality, Climate and Health, Department of Environmental Health Engineering, Sri Ramachandra Institute for Higher Education and Research, Chennai, India
| | - Ajay Pillarisetti
- Division of Environmental Health Sciences, University of California at Berkeley, Berkeley, CA, USA
| | - Kalpana Balakrishnan
- ICMR Center for Advanced Research on Air Quality, Climate and Health, Department of Environmental Health Engineering, Sri Ramachandra Institute for Higher Education and Research, Chennai, India
| | - Marilu Chiang
- Biomedical Research Unit, Asociación Benéfica PRISMA, Lima, Peru
| | - Amy Lovvorn
- Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, CA, USA
| | - Miles Kirby
- Department of Global Health and Population, Harvard T. H. Chan School of Public Health, Harvard University, Boston, MA, USA
| | - Usha Ramakrishnan
- Hubert Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, USA
| | - Shirin Jabbarzadeh
- Department of Biostatistics and Bioinformatics, Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | | | | | - John P McCracken
- Department of Environmental Health Science, College of Public Health, University of Georgia, Athens, GA, USA
| | - Luke P Naeher
- Department of Environmental Health Science, College of Public Health, University of Georgia, Athens, GA, USA
| | - Ghislaine Rosa
- Faculty of Infectious and Tropical Diseases, London School of Hygiene and Tropical Medicine, London, UK
| | - Jiantong Wang
- Department of Biostatistics and Bioinformatics, Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | - Joshua Rosenthal
- Division of Epidemiology and Population Studies, Fogarty International Center, National Institutes of Health, Bethesda, MD, USA
| | - William Checkley
- Division of Pulmonary and Critical Care, School of Medicine, Johns Hopkins University, Baltimore, MD, USA; Center for Global Non-Communicable Disease Research and Training, School of Medicine, Johns Hopkins University, Baltimore, MD, USA
| | - Thomas F Clasen
- Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, CA, USA
| | - Jennifer L Peel
- Department of Environmental and Radiological Health Sciences, Colorado State University, Fort Collins, CO, USA
| | - Lisa M Thompson
- Nell Hodgson Woodruff School of Nursing, Emory University, Atlanta, GA, USA; Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, CA, USA
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3
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Deshpande A, Scovronick N, Clasen TF, Waller L, Wang J, Aravindalochanan V, Balakrishnan K, Puttaswamy N, Peel J, Pillarisetti A. Heat Exposure among Adult Women in Rural Tamil Nadu, India. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2024; 58:315-322. [PMID: 38153962 PMCID: PMC10785747 DOI: 10.1021/acs.est.3c03461] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/07/2023] [Revised: 12/01/2023] [Accepted: 12/05/2023] [Indexed: 12/30/2023]
Abstract
Exposure to heat is associated with a substantial burden of disease and is an emerging issue in the context of climate change. Heat is of particular concern in India, which is one of the world's hottest countries and also most populous, where relatively little is known about personal heat exposure, particularly in rural areas. Here, we leverage data collected as part of a randomized controlled trial to describe personal temperature exposures of adult women (40-79 years of age) in rural Tamil Nadu. We also characterize measurement error in heat exposure assessment by comparing personal exposure measurements to the nearest ambient monitoring stations and to commonly used modeled temperature data products. We find that temperatures differ across individuals in the same area on the same day, sometimes by more than 5 °C within the same hour, and that some individuals experience sharp increases in heat exposure in the early morning or evening, potentially a result of cooking with solid fuels. We find somewhat stronger correlations between the personal exposure measurements and the modeled products than with ambient monitors. We did not find evidence of systematic biases, which indicates that adjusting for discrepancies between different exposure measurement methods is not straightforward.
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Affiliation(s)
- Aniruddha Deshpande
- Department
of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, Georgia 30322, United States
| | - Noah Scovronick
- Gangarosa
Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, Georgia 30322, United States
| | - Thomas F. Clasen
- Gangarosa
Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, Georgia 30322, United States
| | - Lance Waller
- Department
of Biostatistics and Bioinformatics, Rollins School of Public Health, Emory University, Atlanta, Georgia 30322, United States
| | - Jiantong Wang
- Department
of Biostatistics and Bioinformatics, Rollins School of Public Health, Emory University, Atlanta, Georgia 30322, United States
| | | | - Kalpana Balakrishnan
- Sri
Ramachandra Institute of Higher Education and Research, Chennai 600116, India
| | - Naveen Puttaswamy
- Sri
Ramachandra Institute of Higher Education and Research, Chennai 600116, India
| | - Jennifer Peel
- Department
of Epidemiology, Colorado State University, Aurora, Colorado 80523, United States
| | - Ajay Pillarisetti
- Division
of Environmental Health Sciences, University
of California Berkeley, Berkeley, California 94720, United States
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4
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Pillarisetti A, Ye W, Balakrishnan K, Rosa G, Díaz-Artiga A, Underhill LJ, Steenland K, Peel JL, Kirby MA, McCracken J, Waller L, Chang H, Wang J, Dusabimana E, Ndagijimana F, Sambandam S, Mukhopadhyay K, Kearns KA, Campbell D, Kremer J, Rosenthal J, Ghosh A, Clark M, Checkley W, Clasen T, Naeher L, Piedrahita R, Johnson M. Post-birth exposure contrasts for children during the Household Air Pollution Intervention Network randomized controlled trial. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2023:2023.07.04.23292226. [PMID: 37461598 PMCID: PMC10350133 DOI: 10.1101/2023.07.04.23292226] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 08/24/2023]
Abstract
Exposure to household air pollution is a leading cause of ill-health globally. The Household Air Pollution Intervention Network (HAPIN) randomized controlled trial evaluated the impact of a free liquefied petroleum gas stove and fuel intervention on birth outcomes and maternal and child health. As part of HAPIN, an extensive exposure assessment was conducted. Here, we report on PM 2.5 and CO exposures of young children (≤ 15 months old) reconstructed using a Bluetooth-beacon based time-activity monitoring system coupled with microenvironmental pollutant monitors. Median (IQR) exposures to PM 2.5 were 65.1 (33 - 128.2) µg/m 3 in the control group and 22.9 (17.2 - 35.3) µg/m3 in the intervention group; for CO, median (IQR) exposures were 1.1 (0.3 - 2.9) ppm and 0.2 (0 - 0.7) ppm for control and intervention group, respectively. Exposure reductions were stable over time and consistent with previous findings for the children's mothers. In the intervention group, 75% of children's reconstructed exposures were below the WHO interim target guideline value of 35 µg/m 3 , while 26% were below the standard in the control group. Our findings suggest that an LPG fuel and stove intervention can substantially reduce children's exposure to household air pollution.
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5
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Balakrishnan K, Steenland K, Clasen T, Chang H, Johnson M, Pillarisetti A, Ye W, Naeher LP, Diaz-Artiga A, McCracken JP, Thompson LM, Rosa G, Kirby MA, Thangavel G, Sambandam S, Mukhopadhyay K, Puttaswamy N, Aravindalochanan V, Garg S, Ndagijimana F, Hartinger S, Underhill LJ, Kearns KA, Campbell D, Kremer J, Waller L, Jabbarzadeh S, Wang J, Chen Y, Rosenthal J, Quinn A, Papageorghiou AT, Ramakrishnan U, Howards PP, Checkley W, Peel JL. Exposure-response relationships for personal exposure to fine particulate matter (PM 2·5), carbon monoxide, and black carbon and birthweight: an observational analysis of the multicountry Household Air Pollution Intervention Network (HAPIN) trial. Lancet Planet Health 2023; 7:e387-e396. [PMID: 37164515 PMCID: PMC10186177 DOI: 10.1016/s2542-5196(23)00052-9] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2022] [Revised: 02/19/2023] [Accepted: 03/02/2023] [Indexed: 05/12/2023]
Abstract
BACKGROUND Household air pollution (HAP) from solid fuel use is associated with adverse birth outcomes, but data for exposure-response relationships are scarce. We examined associations between HAP exposures and birthweight in rural Guatemala, India, Peru, and Rwanda during the Household Air Pollution Intervention Network (HAPIN) trial. METHODS The HAPIN trial recruited pregnant women (9-<20 weeks of gestation) in rural Guatemala, India, Peru, and Rwanda and randomly allocated them to receive a liquefied petroleum gas stove or not (ie, and continue to use biomass fuel). The primary outcomes were birthweight, length-for-age, severe pneumonia, and maternal systolic blood pressure. In this exposure-response subanalysis, we measured 24-h personal exposures to PM2·5, carbon monoxide, and black carbon once pre-intervention (baseline) and twice post-intervention (at 24-28 weeks and 32-36 weeks of gestation), as well as birthweight within 24 h of birth. We examined the relationship between the average prenatal exposure and birthweight or weight-for-gestational age Z scores using multivariate-regression models, controlling for the mother's age, nulliparity, diet diversity, food insecurity, BMI, the mother's education, neonate sex, haemoglobin, second-hand smoke, and geographical indicator for randomisation strata. FINDINGS Between March, 2018, and February, 2020, 3200 pregnant women were recruited. An interquartile increase in the average prenatal exposure to PM2·5 (74·5 μg/m3) was associated with a reduction in birthweight and gestational age Z scores (birthweight: -14·8 g [95% CI -28·7 to -0·8]; gestational age Z scores: -0·03 [-0·06 to 0·00]), as was an interquartile increase in black carbon (7·3 μg/m3; -21·9 g [-37·7 to -6·1]; -0·05 [-0·08 to -0·01]). Carbon monoxide exposure was not associated with these outcomes (1·7; -3·1 [-12·1 to 5·8]; -0·003 [-0·023 to 0·017]). INTERPRETATION Continuing efforts are needed to reduce HAP exposure alongside other drivers of low birthweight in low-income and middle-income countries. FUNDING US National Institutes of Health (1UM1HL134590) and the Bill & Melinda Gates Foundation (OPP1131279).
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Affiliation(s)
- Kalpana Balakrishnan
- Department of Environmental Health Engineering, ICMR Center for Advanced Research on Air Quality, Climate and Health, Sri Ramachandra Institute for Higher Education and Research (Deemed University), Chennai, India.
| | - Kyle Steenland
- Gangarosa Department of Environmental Health, Emory University, Atlanta, GA, USA
| | - Thomas Clasen
- Gangarosa Department of Environmental Health, Emory University, Atlanta, GA, USA
| | - Howard Chang
- Department of Biostatistics and Bioinformatics, Emory University, Atlanta, GA, USA
| | | | - Ajay Pillarisetti
- Division of Environmental Health Sciences, School of Public Health, University of California, Berkeley, CA, USA
| | - Wenlu Ye
- Division of Environmental Health Sciences, School of Public Health, University of California, Berkeley, CA, USA
| | - Luke P Naeher
- Department of Environmental Health Sciences, University of Georgia, Athens, GA, USA
| | - Anaite Diaz-Artiga
- Center for Health Studies, Universidad del Valle de Guatemala, Guatemala City, Guatemala
| | - John P McCracken
- Department of Environmental Health Sciences, University of Georgia, Athens, GA, USA
| | - Lisa M Thompson
- Rollins School of Public Health and Nell Hodgson Woodruff School of Nursing, Emory University, Atlanta, GA, USA
| | - Ghislaine Rosa
- Department of Infectious and Tropical Diseases, London School of Hygiene & Tropical Medicine, London, UK
| | - Miles A Kirby
- Department of Global Health and Population, Harvard T H Chan School of Public Health, Harvard University, Boston, MA, USA
| | - Gurusamy Thangavel
- Department of Environmental Health Engineering, ICMR Center for Advanced Research on Air Quality, Climate and Health, Sri Ramachandra Institute for Higher Education and Research (Deemed University), Chennai, India
| | - Sankar Sambandam
- Department of Environmental Health Engineering, ICMR Center for Advanced Research on Air Quality, Climate and Health, Sri Ramachandra Institute for Higher Education and Research (Deemed University), Chennai, India
| | - Krishnendu Mukhopadhyay
- Department of Environmental Health Engineering, ICMR Center for Advanced Research on Air Quality, Climate and Health, Sri Ramachandra Institute for Higher Education and Research (Deemed University), Chennai, India
| | - Naveen Puttaswamy
- Department of Environmental Health Engineering, ICMR Center for Advanced Research on Air Quality, Climate and Health, Sri Ramachandra Institute for Higher Education and Research (Deemed University), Chennai, India
| | - Vigneswari Aravindalochanan
- Department of Environmental Health Engineering, ICMR Center for Advanced Research on Air Quality, Climate and Health, Sri Ramachandra Institute for Higher Education and Research (Deemed University), Chennai, India
| | - Sarada Garg
- Department of Environmental Health Engineering, ICMR Center for Advanced Research on Air Quality, Climate and Health, Sri Ramachandra Institute for Higher Education and Research (Deemed University), Chennai, India
| | | | - Stella Hartinger
- Division of Pulmonary and Critical Care, School of Medicine and Center for Global Non-Communicable Disease Research and Training, Johns Hopkins University, Baltimore, MD, USA
| | - Lindsay J Underhill
- Cardiovascular Division, Washington University School of Medicine, St Louis, MO, USA
| | - Katherine A Kearns
- Department of Environmental Health Sciences, University of Georgia, Athens, GA, USA
| | - Devan Campbell
- Department of Environmental Health Sciences, University of Georgia, Athens, GA, USA
| | - Jacob Kremer
- Department of Environmental Health Sciences, University of Georgia, Athens, GA, USA
| | - Lance Waller
- Department of Biostatistics and Bioinformatics, Emory University, Atlanta, GA, USA
| | - Shirin Jabbarzadeh
- Department of Biostatistics and Bioinformatics, Emory University, Atlanta, GA, USA
| | - Jiantong Wang
- Department of Biostatistics and Bioinformatics, Emory University, Atlanta, GA, USA
| | - Yunyun Chen
- Department of Biostatistics and Bioinformatics, Emory University, Atlanta, GA, USA
| | - Joshua Rosenthal
- Division of Epidemiology and Population Studies, Fogarty International Center, National Institutes of Health, Bethesda, MD, USA
| | | | - Aris T Papageorghiou
- Nuffield Department of Women's and Reproductive Health, University of Oxford, Oxford, UK
| | - Usha Ramakrishnan
- Hubert Department of Global Health, Emory University, Atlanta, GA, USA
| | | | - William Checkley
- Division of Pulmonary and Critical Care, School of Medicine and Center for Global Non-Communicable Disease Research and Training, Johns Hopkins University, Baltimore, MD, USA
| | - Jennifer L Peel
- Department of Environmental and Radiological Health Sciences, Colorado State University, Fort Collins, CO, USA
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6
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Johnson M, Pillarisetti A, Piedrahita R, Balakrishnan K, Peel JL, Steenland K, Underhill LJ, Rosa G, Kirby MA, Díaz-Artiga A, McCracken J, Clark ML, Waller L, Chang HH, Wang J, Dusabimana E, Ndagijimana F, Sambandam S, Mukhopadhyay K, Kearns KA, Campbell D, Kremer J, Rosenthal JP, Checkley W, Clasen T, Naeher L. Exposure Contrasts of Pregnant Women during the Household Air Pollution Intervention Network Randomized Controlled Trial. ENVIRONMENTAL HEALTH PERSPECTIVES 2022; 130:97005. [PMID: 36112539 PMCID: PMC9480977 DOI: 10.1289/ehp10295] [Citation(s) in RCA: 29] [Impact Index Per Article: 9.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/10/2021] [Revised: 07/12/2022] [Accepted: 08/19/2022] [Indexed: 05/26/2023]
Abstract
BACKGROUND Exposure to PM 2.5 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 PM 2.5 , 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 ≤ 2.5 μ m (PM 2.5 ) in the intervention arm were lower by 66% at the first (71.5 vs. 24.1 μ g / m 3 ), and second follow-up visits (69.5 vs. 23.7 μ g / m 3 ) compared to controls. BC exposures were lower in the intervention arm by 72% (9.7 vs. 2.7 μ g / m 3 ) and 70% (9.6 vs. 2.8 μ g / m 3 ) 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 PM 2.5 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 PM 2.5 samples falling below the World Health Organization Annual Interim Target 1 of 35 μ g / m 3 . This study indicates that an LPG intervention can reduce PM 2.5 exposures to levels at or below WHO targets. https://doi.org/10.1289/EHP10295.
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Affiliation(s)
| | - Ajay Pillarisetti
- Division of Environmental Health Sciences, School of Public Health, University of California, Berkeley, California, USA
| | | | - Kalpana Balakrishnan
- 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
| | - Jennifer L. Peel
- Department of Environmental and Radiological Health Sciences, Colorado State University, Fort Collins, Colorado, USA
| | - Kyle Steenland
- Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, Georgia, USA
| | - Lindsay J. Underhill
- Cardiovascular Division, School of Medicine, Washington University, St. Louis, Missouri, USA
| | - Ghislaine Rosa
- Department of Infectious and Tropical Diseases, London School of Hygiene & Tropical Medicine, London, UK
| | - Miles A. Kirby
- Global Health and Population, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
| | | | - John McCracken
- Department of Environmental Health Science, College of Public Health, University of Georgia, Athens, Georgia, USA
| | - Maggie L. Clark
- Department of Environmental and Radiological Health Sciences, Colorado State University, Fort Collins, Colorado, USA
| | - Lance Waller
- Department of Biostatistics and Bioinformatics, Rollins School of Public Health, Emory University, Atlanta, Georgia, USA
| | - Howard H. Chang
- Department of Biostatistics and Bioinformatics, Rollins School of Public Health, Emory University, Atlanta, Georgia, USA
| | - Jiantong Wang
- Department of Biostatistics and Bioinformatics, Rollins School of Public Health, Emory University, Atlanta, Georgia, USA
| | | | | | - Sankar Sambandam
- 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
| | - Krishnendu Mukhopadhyay
- 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
| | - Katherine A. Kearns
- Department of Environmental Health Science, College of Public Health, University of Georgia, Athens, Georgia, USA
| | - Devan Campbell
- Department of Environmental Health Science, College of Public Health, University of Georgia, Athens, Georgia, USA
| | - Jacob Kremer
- Department of Environmental Health Science, College of Public Health, University of Georgia, Athens, Georgia, USA
| | - Joshua P. Rosenthal
- Division of Epidemiology and Population Studies, Fogarty International Center, National Institutes of Health, Bethesda, Maryland, USA
| | - William Checkley
- Division of Pulmonary and Critical Care, School of Medicine, Johns Hopkins University, Baltimore, Maryland, USA
| | - Thomas Clasen
- Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, Georgia, USA
| | - Luke Naeher
- Department of Environmental Health Science, College of Public Health, University of Georgia, Athens, Georgia, USA
| | - and the Household Air Pollution Intervention Network (HAPIN) Trial Investigators
- Berkeley Air Monitoring Group, Berkeley, California, USA
- Division of Environmental Health Sciences, School of Public Health, University of California, Berkeley, California, USA
- 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
- Department of Environmental and Radiological Health Sciences, Colorado State University, Fort Collins, Colorado, USA
- Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, Georgia, USA
- Cardiovascular Division, School of Medicine, Washington University, St. Louis, Missouri, USA
- Department of Infectious and Tropical Diseases, London School of Hygiene & Tropical Medicine, London, UK
- Global Health and Population, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
- Universidad del Valle de Guatemala, Guatemala City, Guatemala
- Department of Environmental Health Science, College of Public Health, University of Georgia, Athens, Georgia, USA
- Department of Biostatistics and Bioinformatics, Rollins School of Public Health, Emory University, Atlanta, Georgia, USA
- Eagle Research Center, Kigali, Rwanda
- Division of Epidemiology and Population Studies, Fogarty International Center, National Institutes of Health, Bethesda, Maryland, USA
- Division of Pulmonary and Critical Care, School of Medicine, Johns Hopkins University, Baltimore, Maryland, USA
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Ye W, Thangavel G, Pillarisetti A, Steenland K, Peel JL, Balakrishnan K, Jabbarzadeh S, Checkley W, Clasen T. Association between personal exposure to household air pollution and gestational blood pressure among women using solid cooking fuels in rural Tamil Nadu, India. ENVIRONMENTAL RESEARCH 2022; 208:112756. [PMID: 35065931 PMCID: PMC8935388 DOI: 10.1016/j.envres.2022.112756] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/15/2021] [Revised: 01/06/2022] [Accepted: 01/15/2022] [Indexed: 05/22/2023]
Abstract
BACKGROUND The Household Air Pollution Intervention Network (HAPIN) trial is an ongoing multi-center randomized controlled trial assessing the impact of a liquified petroleum gas (LPG) cookstove and fuel intervention on health. Given the potential impacts of household air pollution (HAP) exposure from burning solid fuels on cardiovascular health during pregnancy, we sought to determine whether baseline exposures to particulate matter with an aerodynamic diameter ≤2.5 μm (PM2.5), black carbon (BC) and carbon monoxide (CO) were associated with blood pressure among 799 pregnant women in Tamil Nadu, India, one of the HAPIN trial centers. METHODS Multivariable linear regression models were used to examine the association between 24-h personal exposure to PM2.5/BC/CO and systolic and diastolic blood pressure, controlling for maternal age, body mass index (BMI), mother's education, household wealth, gestational age, and season. At the time of measurement, women were between 9- and 20-weeks of gestation. RESULTS We found that systolic blood pressure (SBP) and diastolic blood pressure (DBP) were higher in pregnant women exposed to higher levels of HAP, though only the result for CO and DBP reached conventional statistical significance (p < 0.05). We observed a positive association between CO and DBP among the entire study cohort: a 1-log μg/m3 increase in CO exposure was associated with 0.36 mmHg higher DBP (95% confidence interval [CI]: 0.02 to 0.70). The effect was stronger in pregnant women with higher CO exposures (in the 3rd [≥ 0.9 and < 2.1 ppm] and 4th quartiles [≥ 2.1 and ≤ 46.9 ppm]). We also found that pregnant women with PM2.5 exposures in the highest quartile (≥ 129.9 and ≤ 2100 μg/m3) had a borderline significant association (p = 0.054) with DBP compared to those who had PM2.5 exposures in the lowest quartile (≥ 9.4 and < 47.7 μg/m3). No evidence of association was observed for BC exposure and blood pressure. CONCLUSION This study contributes to limited evidence regarding the relationship between HAP exposure and blood pressure among women during pregnancy, a critical window for both mother and child's life-course health. Results from this cross-sectional study suggest that exposures to PM2.5 and CO from solid fuel use are associated with higher blood pressure in pregnant women during their first or second trimester.
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Affiliation(s)
- Wenlu Ye
- Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, GA, USA.
| | - Gurusamy Thangavel
- Department of Environmental Health Engineering, Sri Ramachandra Institute of Higher Education and Research, Chennai, Tamil Nadu, India
| | - Ajay Pillarisetti
- Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, GA, USA; Environmental Health Sciences, School of Public Health, University of California, Berkeley, California, USA
| | - Kyle Steenland
- Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | - Jennifer L Peel
- Dept of Environmental and Radiological Health Sciences, Colorado State University, Fort Collins, CO, USA
| | - Kalpana Balakrishnan
- Department of Environmental Health Engineering, Sri Ramachandra Institute of Higher Education and Research, Chennai, Tamil Nadu, India
| | - Shirin Jabbarzadeh
- Department of Biostatistics and Bioinformatics, Rollins School of Public Health, Emory University, Atlanta, Georgia, USA
| | - William Checkley
- Division of Pulmonary and Critical Care, School of Medicine, Johns Hopkins University, Baltimore, MD, USA; Center for Global Non-Communicable Disease Research and Training, School of Medicine, Johns Hopkins University, Baltimore, MD, USA
| | - Thomas Clasen
- Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, GA, USA
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Fandiño-Del-Rio M, Kephart JL, Williams KN, Shade T, Adekunle T, Steenland K, Naeher LP, Moulton LH, Gonzales GF, Chiang M, Hossen S, Chartier RT, Koehler K, Checkley W. Household Air Pollution Concentrations after Liquefied Petroleum Gas Interventions in Rural Peru: Findings from a One-Year Randomized Controlled Trial Followed by a One-Year Pragmatic Crossover Trial. ENVIRONMENTAL HEALTH PERSPECTIVES 2022; 130:57007. [PMID: 35549716 PMCID: PMC9097958 DOI: 10.1289/ehp10054] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/29/2021] [Revised: 03/25/2022] [Accepted: 03/28/2022] [Indexed: 05/29/2023]
Abstract
BACKGROUND Household air pollution (HAP) from biomass fuel combustion remains a leading environmental risk factor for morbidity worldwide. OBJECTIVE Measure the effect of liquefied petroleum gas (LPG) interventions on HAP exposures in Puno, Peru. METHODS We conducted a 1-y randomized controlled trial followed by a 1-y pragmatic crossover trial in 180 women age 25-64 y. During the first year, intervention participants received a free LPG stove, continuous fuel delivery, and regular behavioral messaging, whereas controls continued their biomass cooking practices. During the second year, control participants received a free LPG stove, regular behavioral messaging, and vouchers to obtain LPG tanks from a nearby distributor, whereas fuel distribution stopped for intervention participants. We collected 48-h kitchen area concentrations and personal exposures to fine particulate matter (PM) with aerodynamic diameter ≤ 2.5 μ m (PM 2.5 ), black carbon (BC), and carbon monoxide (CO) at baseline and 3-, 6-, 12-, 18-, and 24-months post randomization. RESULTS Baseline mean [ ± standard deviation ( SD ) ] PM 2.5 (kitchen area concentrations 1,220 ± 1,010 vs. 1,190 ± 880 μ g / m 3 ; personal exposure 126 ± 214 vs. 104 ± 100 μ g / m 3 ), CO (kitchen 53 ± 49 vs. 50 ± 41 ppm ; personal 7 ± 8 vs. 7 ± 8 ppm ), and BC (kitchen 180 ± 120 vs. 210 ± 150 μ g / m 3 ; personal 19 ± 16 vs. 21 ± 22 μ g / m 3 ) were similar between control and intervention participants. Intervention participants had consistently lower mean ( ± SD ) concentrations at the 12-month visit for kitchen (41 ± 59 μ g / m 3 , 3 ± 6 μ g / m 3 , and 8 ± 13 ppm ) and personal exposures (26 ± 34 μ g / m 3 , 2 ± 3 μ g / m 3 , and 3 ± 4 ppm ) to PM 2.5 , BC, and CO when compared to controls during the first year. In the second year, we observed comparable HAP reductions among controls after the voucher-based intervention for LPG fuel was implemented (24-month visit PM 2.5 , BC, and CO kitchen mean concentrations of 34 ± 74 μ g / m 3 , 3 ± 5 μ g / m 3 , and 6 ± 6 ppm and personal exposures of 17 ± 15 μ g / m 3 , 2 ± 2 μ g / m 3 , and 3 ± 4 ppm , respectively), and average reductions were present among intervention participants even after free fuel distribution stopped (24-month visit PM 2.5 , BC, and CO kitchen mean concentrations of 561 ± 1,251 μ g / m 3 , 82 ± 124 μ g / m 3 , and 23 ± 28 ppm and personal exposures of 35 ± 38 μ g / m 3 , 6 ± 6 μ g / m 3 , and 4 ± 5 ppm , respectively). DISCUSSION Both home delivery and voucher-based provision of free LPG over a 1-y period, in combination with provision of a free LPG stove and longitudinal behavioral messaging, reduced HAP to levels below 24-h World Health Organization air quality guidelines. Moreover, the effects of the intervention on HAP persisted for a year after fuel delivery stopped. Such strategies could be applied in LPG programs to reduce HAP and potentially improve health. https://doi.org/10.1289/EHP10054.
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Affiliation(s)
- Magdalena Fandiño-Del-Rio
- Department of Environmental Health and Engineering, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland, USA
- Center for Global Non-Communicable Disease Research and Training, Johns Hopkins University, Baltimore, Maryland, USA
| | - Josiah L. Kephart
- Department of Environmental Health and Engineering, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland, USA
- Center for Global Non-Communicable Disease Research and Training, Johns Hopkins University, Baltimore, Maryland, USA
| | - Kendra N. Williams
- Center for Global Non-Communicable Disease Research and Training, Johns Hopkins University, Baltimore, Maryland, USA
- Division of Pulmonary and Critical Care, School of Medicine, Johns Hopkins University, Baltimore, Maryland, USA
| | - Timothy Shade
- Center for Global Non-Communicable Disease Research and Training, Johns Hopkins University, Baltimore, Maryland, USA
| | - Temi Adekunle
- Department of Environmental Health and Engineering, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland, USA
| | - Kyle Steenland
- Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, Georgia, USA
| | - Luke P. Naeher
- Environmental Health Science Department, College of Public Health, University of Georgia, Athens, Georgia, USA
| | - Lawrence H. Moulton
- Program in Global Disease Epidemiology and Control, Department of International Health, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland, USA
| | - Gustavo F. Gonzales
- Laboratories of Investigation and Development, Department of Biological and Physiological Sciences, Faculty of Sciences and Philosophy, Universidad Peruana Cayetano Heredia, Lima, Perú
- High Altitude Research Institute, Universidad Peruana Cayetano Heredia, Lima, Perú
| | - Marilu Chiang
- Biomedical Research Unit, Asociación Benéfica PRISMA, Lima, Perú
| | - Shakir Hossen
- Center for Global Non-Communicable Disease Research and Training, Johns Hopkins University, Baltimore, Maryland, USA
- Division of Pulmonary and Critical Care, School of Medicine, Johns Hopkins University, Baltimore, Maryland, USA
| | | | - Kirsten Koehler
- Department of Environmental Health and Engineering, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland, USA
| | - William Checkley
- Center for Global Non-Communicable Disease Research and Training, Johns Hopkins University, Baltimore, Maryland, USA
- Division of Pulmonary and Critical Care, School of Medicine, Johns Hopkins University, Baltimore, Maryland, USA
- Program in Global Disease Epidemiology and Control, Department of International Health, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland, USA
| | - Cardiopulmonary outcomes and Household Air Pollution (CHAP) Trial Investigators
- Department of Environmental Health and Engineering, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland, USA
- Center for Global Non-Communicable Disease Research and Training, Johns Hopkins University, Baltimore, Maryland, USA
- Division of Pulmonary and Critical Care, School of Medicine, Johns Hopkins University, Baltimore, Maryland, USA
- Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, Georgia, USA
- Environmental Health Science Department, College of Public Health, University of Georgia, Athens, Georgia, USA
- Program in Global Disease Epidemiology and Control, Department of International Health, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland, USA
- Laboratories of Investigation and Development, Department of Biological and Physiological Sciences, Faculty of Sciences and Philosophy, Universidad Peruana Cayetano Heredia, Lima, Perú
- High Altitude Research Institute, Universidad Peruana Cayetano Heredia, Lima, Perú
- Biomedical Research Unit, Asociación Benéfica PRISMA, Lima, Perú
- RTI International, Durham, North Carolina, USA
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Checkley W, Hossen S, Rosa G, Thompson LM, McCracken JP, Diaz-Artiga A, Balakrishnan K, Simkovich SM, Underhill LJ, Nicolaou L, Hartinger SM, Davila-Roman VG, Kirby MA, Clasen TF, Rosenthal J, Peel JL. Facing the Realities of Pragmatic Design Choices in Environmental Health Studies: Experiences from the Household Air Pollution Intervention Network Trial. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:3790. [PMID: 35409475 PMCID: PMC8997769 DOI: 10.3390/ijerph19073790] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/12/2022] [Revised: 03/15/2022] [Accepted: 03/18/2022] [Indexed: 11/29/2022]
Abstract
Objective: Household Air Pollution Intervention Network (HAPIN) investigators tested a complex, non-pharmacological intervention in four low- and middle-income countries as a strategy to mitigate household air pollution and improve health outcomes across the lifespan. Intervention households received a liquefied petroleum gas (LPG) stove, continuous fuel delivery and regular behavioral reinforcements for 18 months, whereas controls were asked to continue with usual cooking practices. While HAPIN was designed as an explanatory trial to test the efficacy of the intervention on four primary outcomes, it introduced several pragmatic aspects in its design and conduct that resemble real-life conditions. We surveyed HAPIN investigators and asked them to rank what aspects of the design and conduct they considered were more pragmatic than explanatory. Methods: We used the revised Pragmatic Explanatory Continuum Indicator Summary (PRECIS-2) to survey investigators on the degree of pragmatism in nine domains of trial design and conduct using a five-point Likert rank scale from very explanatory (1) to very pragmatic (5). We invited 103 investigators. Participants were given educational material on PRECIS-2, including presentations, papers and examples that described the use and implementation of PRECIS-2. Results: Thirty-five investigators (mean age 42 years, 51% female) participated in the survey. Overall, only 17% ranked all domains as very explanatory, with an average (±SD) rank of 3.2 ± 1.4 across domains. Fewer than 20% of investigators ranked eligibility, recruitment or setting as very explanatory. In contrast, ≥50% of investigators ranked the trial organization, delivery and adherence of the intervention and follow-up as very/rather explanatory whereas ≤17% ranked them as rather/very pragmatic. Finally, <25% of investigators ranked the relevance of outcomes to participants and analysis as very/rather explanatory whereas ≥50% ranked then as rather/very pragmatic. In-country partners were more likely to rank domains as pragmatic when compared to investigators working in central coordination (average rank 3.2 vs. 2.8, respectively; Wilcoxon rank-sum p < 0.001). Conclusion: HAPIN investigators did not consider their efficacy trial to be rather/very explanatory and reported that some aspects of the design and conduct were executed under real-world conditions; however, they also did not consider the trial to be overly pragmatic. Our analysis underscores the importance of using standardized tools such as PRECIS-2 to guide early discussions among investigators in the design of environmental health trials attempting to measure efficacy.
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Affiliation(s)
- William Checkley
- Division of Pulmonary and Critical Care, School of Medicine, Johns Hopkins University, Baltimore, MD 21287, USA; (S.H.); (L.J.U.); (L.N.)
- Center for Global Non-Communicable Disease Research and Training, School of Medicine, Johns Hopkins University, Baltimore, MD 21287, USA
| | - Shakir Hossen
- Division of Pulmonary and Critical Care, School of Medicine, Johns Hopkins University, Baltimore, MD 21287, USA; (S.H.); (L.J.U.); (L.N.)
- Center for Global Non-Communicable Disease Research and Training, School of Medicine, Johns Hopkins University, Baltimore, MD 21287, USA
| | - Ghislaine Rosa
- Faculty of Infectious and Tropical Diseases, London School of Tropical Medicine and Hygiene, London WC1E 7HT, UK;
| | - Lisa M. Thompson
- Nell Hodgson Woodruff School of Nursing, Emory University, Atlanta, GA 30332, USA;
| | - John P. McCracken
- Epidemiology and Biostatistics Department, University of Georgia, Athens, GA 30606, USA;
| | - Anaite Diaz-Artiga
- Center for Health Studies, Universidad del Valle de Guatemala, Guatemala City 01015, Guatemala;
| | - Kalpana Balakrishnan
- ICMR Center for Advanced Research on Air Quality, Climate and Health, Department of Environmental Health Engineering, Sri Ramachandra Institute for Higher Education and Research, Chennai 600116, India;
| | - Suzanne M. Simkovich
- Division of Healthcare Delivery Research, Medstar Health Research Institute, Hyattsville, MD 20782, USA;
- Division of Pulmonary and Critical Care Medicine, Georgetown University, Washington, DC 20007, USA
| | - Lindsay J. Underhill
- Division of Pulmonary and Critical Care, School of Medicine, Johns Hopkins University, Baltimore, MD 21287, USA; (S.H.); (L.J.U.); (L.N.)
- Center for Global Non-Communicable Disease Research and Training, School of Medicine, Johns Hopkins University, Baltimore, MD 21287, USA
| | - Laura Nicolaou
- Division of Pulmonary and Critical Care, School of Medicine, Johns Hopkins University, Baltimore, MD 21287, USA; (S.H.); (L.J.U.); (L.N.)
- Center for Global Non-Communicable Disease Research and Training, School of Medicine, Johns Hopkins University, Baltimore, MD 21287, USA
| | - Stella M. Hartinger
- Latin American Center of Excellence on Climate Change and Health, Universidad Peruana Cayetano Heredia, Lima 15102, Peru;
| | - Victor G. Davila-Roman
- Cardiovascular Imaging and Clinical Research Core Laboratory, Cardiovascular Division, Department of Medicine, Washington University in St. Louis, St. Louis, MO 63110, USA;
| | - Miles A. Kirby
- Department of Global Health and Population, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA;
| | - Thomas F. Clasen
- Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, GA 30322, USA;
| | - Joshua Rosenthal
- Fogarty International Center, National Institutes of Health, Bethesda, MD 20892, USA;
| | - Jennifer L. Peel
- Department of Environmental and Radiological Health Sciences, Colorado State University, Fort Collins, CO 80523, USA;
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Pregnant Women's Exposure to Household Air Pollution in Rural Bangladesh: A Feasibility Study for Poriborton: The CHANge Trial. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:ijerph19010482. [PMID: 35010741 PMCID: PMC8744871 DOI: 10.3390/ijerph19010482] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/23/2021] [Revised: 12/28/2021] [Accepted: 12/29/2021] [Indexed: 02/04/2023]
Abstract
The use of liquefied petroleum gas (LPG) for cooking is a strategy to reduce household air pollution (HAP) exposure and improve health. We conducted this feasibility study to evaluate personal exposure measurement methods to representatively assess reductions in HAP exposure. We enrolled 30 pregnant women to wear a MicroPEM for 24 h to assess their HAP exposure when cooking with a traditional stove (baseline) and with an LPG stove (intervention). The women wore the MicroPEM an average of 77% and 69% of the time during the baseline and intervention phases, respectively. Mean gravimetric PM2.5 mass and black carbon concentrations were comparable during baseline and intervention. Temporal analysis of the MicroPEM nephelometer data identified high PM2.5 concentrations in the afternoon, late evening, and overnight during the intervention phase. Likely seasonal sources present during the intervention phase were emissions from brick kiln and rice parboiling facilities, and evening kerosene lamp and mosquito coil use. Mean background adjusted PM2.5 concentrations during cooking were lower during intervention at 71 μg/m3, versus 105 μg/m3 during baseline. Representative real-time personal PM2.5 concentration measurements supplemented with ambient PM2.5 measures and surveys will be a valuable tool to disentangle external sources of PM2.5, other indoor HAP sources, and fuel-sparing behaviors when assessing the HAP reduction due to intervention with LPG stoves.
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Liao J, Kirby MA, Pillarisetti A, Piedrahita R, Balakrishnan K, Sambandam S, Mukhopadhyay K, Ye W, Rosa G, Majorin F, Dusabimana E, Ndagijimana F, McCracken JP, Mollinedo E, de Leon O, Díaz-Artiga A, Thompson LM, Kearns KA, Naeher L, Rosenthal J, Clark ML, Steenland K, Waller LA, Checkley W, Peel JL, Clasen T, Johnson M. LPG stove and fuel intervention among pregnant women reduce fine particle air pollution exposures in three countries: Pilot results from the HAPIN trial. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2021; 291:118198. [PMID: 34740288 PMCID: PMC8593210 DOI: 10.1016/j.envpol.2021.118198] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/15/2020] [Revised: 09/14/2021] [Accepted: 09/16/2021] [Indexed: 05/26/2023]
Abstract
The Household Air Pollution Intervention Network trial is a multi-country study on the effects of a liquefied petroleum gas (LPG) stove and fuel distribution intervention on women's and children's health. There is limited data on exposure reductions achieved by switching from solid to clean cooking fuels in rural settings across multiple countries. As formative research in 2017, we recruited pregnant women and characterized the impact of the intervention on personal exposures and kitchen levels of fine particulate matter (PM2.5) in Guatemala, India, and Rwanda. Forty pregnant women were enrolled in each site. We measured cooking area concentrations of and personal exposures to PM2.5 for 24 or 48 h using gravimetric-based PM2.5 samplers at baseline and two follow-ups over two months after delivery of an LPG cookstove and free fuel supply. Mixed models were used to estimate PM2.5 reductions. Median kitchen PM2.5 concentrations were 296 μg/m3 at baseline (interquartile range, IQR: 158-507), 24 μg/m3 at first follow-up (IQR: 18-37), and 23 μg/m3 at second follow-up (IQR: 14-37). Median personal exposures to PM2.5 were 134 μg/m3 at baseline (IQR: 71-224), 35 μg/m3 at first follow-up (IQR: 23-51), and 32 μg/m3 at second follow-up (IQR: 23-47). Overall, the LPG intervention was associated with a 92% (95% confidence interval (CI): 90-94%) reduction in kitchen PM2.5 concentrations and a 74% (95% CI: 70-79%) reduction in personal PM2.5 exposures. Results were similar for each site. CONCLUSIONS: The intervention was associated with substantial reductions in kitchen and personal PM2.5 overall and in all sites. Results suggest LPG interventions in these rural settings may lower exposures to the WHO annual interim target-1 of 35 μg/m3. The range of exposure contrasts falls on steep sections of estimated exposure-response curves for birthweight, blood pressure, and acute lower respiratory infections, implying potentially important health benefits when transitioning from solid fuels to LPG.
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Affiliation(s)
- Jiawen Liao
- Gangarosa Department of Environmental Health, Emory University Rollins School of Public Health, Atlanta, GA, USA; Department of Population and Public Health Sciences, Keck School of Medicine of the University of Southern California, Los Angeles, CA, USA
| | - Miles A Kirby
- Gangarosa Department of Environmental Health, Emory University Rollins School of Public Health, Atlanta, GA, USA; Department of Global Health and Population, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Ajay Pillarisetti
- Gangarosa Department of Environmental Health, Emory University Rollins School of Public Health, Atlanta, GA, USA; School of Public Health, University of California, Berkeley, CA, USA
| | | | - Kalpana Balakrishnan
- SRU-ICMR Center for Advanced Research on Air Quality, Climate and Health, Sri Ramachandra Institute of Higher Education and Research, Chennai, India
| | - Sankar Sambandam
- SRU-ICMR Center for Advanced Research on Air Quality, Climate and Health, Sri Ramachandra Institute of Higher Education and Research, Chennai, India
| | - Krishnendu Mukhopadhyay
- SRU-ICMR Center for Advanced Research on Air Quality, Climate and Health, Sri Ramachandra Institute of Higher Education and Research, Chennai, India
| | - Wenlu Ye
- Gangarosa Department of Environmental Health, Emory University Rollins School of Public Health, Atlanta, GA, USA
| | - Ghislaine Rosa
- London School of Hygiene and Tropical Medicine, London, UK
| | - Fiona Majorin
- London School of Hygiene and Tropical Medicine, London, UK
| | | | | | - John P McCracken
- Center for Health Studies, Universidad del Valle De Guatemala, Guatemala City, Guatemala; College of Public Health, University of Georgia, Athens, GA, USA
| | - Erick Mollinedo
- Center for Health Studies, Universidad del Valle De Guatemala, Guatemala City, Guatemala; College of Public Health, University of Georgia, Athens, GA, USA
| | - Oscar de Leon
- Gangarosa Department of Environmental Health, Emory University Rollins School of Public Health, Atlanta, GA, USA; Center for Health Studies, Universidad del Valle De Guatemala, Guatemala City, Guatemala
| | - Anaité Díaz-Artiga
- Center for Health Studies, Universidad del Valle De Guatemala, Guatemala City, Guatemala
| | - Lisa M Thompson
- Gangarosa Department of Environmental Health, Emory University Rollins School of Public Health, Atlanta, GA, USA; Nell Hodgson Woodruff School of Nursing, Emory University, Atlanta, GA, USA
| | | | - Luke Naeher
- College of Public Health, University of Georgia, Athens, GA, USA
| | - Joshua Rosenthal
- Fogarty International Center, National Institutes of Health, Bethesda, MD, USA
| | - Maggie L Clark
- Department of Environmental and Radiological Health Sciences, Colorado State University, Fort Collins, CO, USA
| | - Kyle Steenland
- Gangarosa Department of Environmental Health, Emory University Rollins School of Public Health, Atlanta, GA, USA
| | - Lance A Waller
- Gangarosa Department of Environmental Health, Emory University Rollins School of Public Health, Atlanta, GA, USA
| | - William Checkley
- Division of Pulmonary and Critical Care, School of Medicine, Johns Hopkins University, Baltimore, MD, USA; Center for Non-Communicable Disease Research and Training, School of Medicine, Johns Hopkins University, Baltimore, MD, USA
| | - Jennifer L Peel
- Department of Environmental and Radiological Health Sciences, Colorado State University, Fort Collins, CO, USA
| | - Thomas Clasen
- Gangarosa Department of Environmental Health, Emory University Rollins School of Public Health, Atlanta, GA, USA
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Lai A, Lee M, Carter E, Chan Q, Elliott P, Ezzati M, Kelly F, Yan L, Wu Y, Yang X, Zhao L, Baumgartner J, Schauer JJ. Chemical Investigation of Household Solid Fuel Use and Outdoor Air Pollution Contributions to Personal PM 2.5 Exposures. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2021; 55:15969-15979. [PMID: 34817986 PMCID: PMC8655976 DOI: 10.1021/acs.est.1c01368] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 02/28/2021] [Revised: 11/10/2021] [Accepted: 11/10/2021] [Indexed: 06/13/2023]
Abstract
In communities with household solid fuel use, transitioning to clean stoves/fuels often results in only moderate reductions in fine particulate matter (PM2.5) exposures; the chemical composition of those exposures may help explain why. We collected personal exposure (men and women) and outdoor PM2.5 samples in villages in three Chinese provinces (Shanxi, Beijing, and Guangxi) and measured chemical components, including water-soluble organic carbon (WSOC), ions, elements, and organic tracers. Source contributions from chemical mass balance modeling (biomass burning, coal combustion, vehicles, dust, and secondary inorganic aerosol) were similar between outdoor and personal PM2.5 samples. Principal component analysis of organic and inorganic components identified analogous sources, including a regional ambient source. Chemical components of PM2.5 exposures did not differ significantly by gender. Participants using coal had higher personal/outdoor (P/O) ratios of coal combustion tracers (picene, sulfate, As, and Pb) than those not using coal, but no such trend was observed for biomass burning tracers (levoglucosan, K+, WSOC). Picene and most levoglucosan P/O ratios exceeded 1 even among participants not using coal and biomass, respectively, indicating substantial indirect exposure to solid fuel emissions from other homes. Contributions of community-level emissions to exposures suggest that meaningful exposure reductions will likely require extensive fuel use changes within communities.
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Affiliation(s)
- Alexandra Lai
- Environmental
Chemistry and Technology Program, University
of Wisconsin-Madison, Madison, Wisconsin 53706, United States
| | - Martha Lee
- Department
of Epidemiology, Biostatistics, and Occupational Health, McGill University, Montreal, Quebec H3A 1A3, Canada
| | - Ellison Carter
- Department
of Civil and Environmental Engineering, Colorado State University, Fort
Collins, Colorado 80523, United States
| | - Queenie Chan
- MRC
Centre for Environment and Health, Department of Epidemiology, Biostatics,
and Occupational Health, School of Public Health, Imperial College London, London W2 1PG, U.K.
| | - Paul Elliott
- MRC
Centre for Environment and Health, Department of Epidemiology, Biostatics,
and Occupational Health, School of Public Health, Imperial College London, London W2 1PG, U.K.
| | - Majid Ezzati
- MRC
Centre for Environment and Health, Department of Epidemiology, Biostatics,
and Occupational Health, School of Public Health, Imperial College London, London W2 1PG, U.K.
| | - Frank Kelly
- Department
of Analytical, Environmental, and Forensic Sciences, Kings College London, London SE1 9NH, U.K.
| | - Li Yan
- Department
of Analytical, Environmental, and Forensic Sciences, Kings College London, London SE1 9NH, U.K.
| | - Yangfeng Wu
- Clinical
Research Institute, Peking University, Beijing 100191, China
| | - Xudong Yang
- Department
of Building Science, Tsinghua University, Beijing 100084, China
| | - Liancheng Zhao
- Fuwai
Hospital, Chinese Academy of Medical Sciences, and Peking Union Medical
College, Beijing 100037, China
| | - Jill Baumgartner
- Department
of Epidemiology, Biostatistics, and Occupational Health, McGill University, Montreal, Quebec H3A 1A3, Canada
- Institute
for Health and Social Policy, McGill University, Montreal, Quebec H3A 1A3, Canada
| | - James J. Schauer
- Environmental
Chemistry and Technology Program, University
of Wisconsin-Madison, Madison, Wisconsin 53706, United States
- Wisconsin
State Laboratory of Hygiene, University
of Wisconsin-Madison, Madison, Wisconsin 53718, United States
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