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Campbell D, Johnson M, Piedrahita R, Pillarisetti A, Waller LA, Kearns KA, Kremer J, Mollinedo E, Sarnat JA, Clark ML, Underhill LJ, McCracken JP, Diaz-Artiga A, Steenland K, Rosa G, Kirby MA, Balakrishnan K, Sambandam S, Mukhopadhyay K, Sendhil S, Natarajan A, Ndagijimana F, Dusabimana E, Thompson LM, Checkley W, Nicolaou L, Hartinger S, Peel JL, Clasen TF, Naeher LP. Factors Determining Black Carbon Exposures among Pregnant Women Enrolled in the HAPIN Trial. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2024; 58:10162-10174. [PMID: 38810212 PMCID: PMC11171448 DOI: 10.1021/acs.est.3c09991] [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: 12/14/2023] [Revised: 05/14/2024] [Accepted: 05/16/2024] [Indexed: 05/31/2024]
Abstract
Residential biomass burning is an important source of black carbon (BC) exposure among rural communities in low- and middle-income countries. We collected 7165 personal BC samples and individual/household level information from 3103 pregnant women enrolled in the Household Air Pollution Intervention Network trial. Women in the intervention arm received free liquefied petroleum gas stoves and fuel throughout pregnancy; women in the control arm continued the use of biomass stoves. Median (IQR) postintervention BC exposures were 9.6 μg/m3 (5.2-14.0) for controls and 2.8 μg/m3 (1.6-4.8) for the intervention group. Using mixed models, we characterized predictors of BC exposure and assessed how exposure contrasts differed between arms by select predictors. Primary stove type was the strongest predictor (R2 = 0.42); the models including kerosene use, kitchen location, education, occupation, or stove use hours also provided additional explanatory power from the base model adjusted only for the study site. Our full, trial-wide, model explained 48% of the variation in BC exposures. We found evidence that the BC exposure contrast between arms differed by study site, adherence to the assigned study stove, and whether the participant cooked. Our findings highlight factors that may be addressed before and during studies to implement more impactful cookstove intervention trials.
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Affiliation(s)
- Devan
A. Campbell
- University
of Georgia, Athens, Georgia 30602, United States
- Benchmark
Risk Group, Chicago, Illinois 60601, United States
| | - Michael Johnson
- Berkeley
Air Monitoring Group, Berkeley, California 94701, United States
| | - Ricardo Piedrahita
- Berkeley
Air Monitoring Group, Berkeley, California 94701, United States
| | - Ajay Pillarisetti
- Environmental
Health Sciences, School of Public Health, University of California, Berkeley, California 94720, United States
| | - Lance A. Waller
- Department
of Biostatistics and Bioinformatics, Rollins School of Public Health, Emory University, Atlanta, Georgia 80521, United States
| | - Katherine A. Kearns
- University
of Georgia, Athens, Georgia 30602, United States
- Berkeley
Air Monitoring Group, Berkeley, California 94701, United States
| | - Jacob Kremer
- University
of Georgia, Athens, Georgia 30602, United States
| | | | - Jeremy A. Sarnat
- Department
of Biostatistics and Bioinformatics, Rollins School of Public Health, Emory University, Atlanta, Georgia 80521, United States
| | - Maggie L. Clark
- Department
of Environmental and Radiological Health Sciences, Colorado State University, Fort
Collins, Colorado 80523, United States
| | - Lindsay J. Underhill
- Washington
University School of Medicine, St. Louis, Missouri 63110, United States
| | - John P. McCracken
- University
of Georgia, Athens, Georgia 30602, United States
- Center
for Health Studies, Universidad del Valle
de Guatemala, Guatemala City, Guatemala 01015, United States
| | - Anaité Diaz-Artiga
- Center
for Health Studies, Universidad del Valle
de Guatemala, Guatemala City, Guatemala 01015, United States
| | - Kyle Steenland
- Gangarosa
Department of Environmental Health, Rollins
School of Public Health, Emory University, Atlanta, Georgia 30322, United States
| | - Ghislaine Rosa
- Department
of Public Health, Policy and Systems, 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, Boston, Massachusetts 02115, United States
| | - Kalpana Balakrishnan
- ICMR Center for Advanced Research on Air quality, Climate
and Health,
Department of Environmental Health Engineering, Sri Ramachandra Institute of Higher Education and Research, Chennai 600001, India
| | - Sankar Sambandam
- ICMR Center for Advanced Research on Air quality, Climate
and Health,
Department of Environmental Health Engineering, Sri Ramachandra Institute of Higher Education and Research, Chennai 600001, India
| | - Krishnendu Mukhopadhyay
- ICMR Center for Advanced Research on Air quality, Climate
and Health,
Department of Environmental Health Engineering, Sri Ramachandra Institute of Higher Education and Research, Chennai 600001, India
| | - Saritha Sendhil
- ICMR Center for Advanced Research on Air quality, Climate
and Health,
Department of Environmental Health Engineering, Sri Ramachandra Institute of Higher Education and Research, Chennai 600001, India
| | - Amudha Natarajan
- ICMR Center for Advanced Research on Air quality, Climate
and Health,
Department of Environmental Health Engineering, Sri Ramachandra Institute of Higher Education and Research, Chennai 600001, India
| | | | | | - Lisa M. Thompson
- Gangarosa
Department of Environmental Health, Rollins
School of Public Health, Emory University, Atlanta, Georgia 30322, United States
- Nell Hodgson Woodruff School of Nursing, Emory University, Atlanta, Georgia 30322, United States
| | - William Checkley
- Center for
Global Non-Communicable Diseases, Johns
Hopkins University, Baltimore, Maryland 21205, United States
- Division
of Pulmonary and Critical Care, School of Medicine, Johns Hopkins University, Baltimore, Maryland 21205, United States
| | - Laura Nicolaou
- Center for
Global Non-Communicable Diseases, Johns
Hopkins University, Baltimore, Maryland 21205, United States
- Division
of Pulmonary and Critical Care, School of Medicine, Johns Hopkins University, Baltimore, Maryland 21205, United States
| | - Stella Hartinger
- Center for
Global Non-Communicable Diseases, Johns
Hopkins University, Baltimore, Maryland 21205, United States
- Division
of Pulmonary and Critical Care, School of Medicine, Johns Hopkins University, Baltimore, Maryland 21205, United States
| | - Jennifer L. Peel
- Department
of Environmental and Radiological Health Sciences, Colorado State University, Fort
Collins, Colorado 80523, United States
| | - Thomas F. Clasen
- Gangarosa
Department of Environmental Health, Rollins
School of Public Health, Emory University, Atlanta, Georgia 30322, United States
| | - Luke P. Naeher
- University
of Georgia, Athens, Georgia 30602, United States
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Nazneen, Patra AK, Kolluru SSR, Penchala A, Kumar S, Mishra N, Sree NB, Santra S, Dubey R. Assessment of seasonal variability of PM, BC and UFP levels at a highway toll stations and their associated health risks. ENVIRONMENTAL RESEARCH 2024; 245:118028. [PMID: 38160974 DOI: 10.1016/j.envres.2023.118028] [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: 10/23/2023] [Revised: 12/15/2023] [Accepted: 12/22/2023] [Indexed: 01/03/2024]
Abstract
As a part of their occupation, workers at toll stations are exposed to traffic emissions during the working shift, which sometimes stretches to 12 h. To assess the exposure and subsequent health risk of these workers, a study was performed on a highway toll station in India. PM1, PM2.5, PM10, BC and UFP concentration were determined inside a toll collectors' cabin and outside in a free-flowing traffic section (125 m from the toll cabin). The concentrations varied in the following range: PM1 (40.69-226.13 μg m-3), PM2.5 (49.71-247.36 μg m-3), PM10 (83.15-458.14 μg m-3) and BC (2.1-87.5 μg m-3) and UFP: 101-53705 pt cm-3. The mean concentration inside the cabin was 1.34 (PM1), 1.35 (PM2.5), 1.16 (PM10) and 2.91 (BC) times the concentration outside for the summer season. The corresponding levels in the winter season were 1.14 (PM1), 1.11 (PM2.5), 1.11 (PM10), 2.50 (BC) and 1.82 (UFP). In addition to the exhaust emission, the non-exhaust emissions such as resuspension of crustal particles, fly ash and bioaerosols were identified. Using the Multiple Path Particle Dosimetry model for two groups - adults (18-21 years) and adults (21+ years), it was estimated that the pulmonary deposition of in-cabin workers were 50% (PM2.5) -75% (PM1) higher than the workers outside the cabin. Particle mass deposition was found to be higher for adults (21+ years) than adults (18-21 years) for both the seasons. The study quantitatively assessed the health risk faced by the workers in terms of exposure concentration and deposition in respiratory tract. More such studies at different traffic mix and climate can provide better estimates of health risk of toll workers that can be used to devise appropriate strategies for control of it.
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Affiliation(s)
- Nazneen
- School of Environmental Science and Engineering, Indian Institute of Technology Kharagpur, India
| | - Aditya Kumar Patra
- Department of Mining Engineering, Indian Institute of Technology Kharagpur, India.
| | - Soma Sekhara Rao Kolluru
- School of Environmental Science and Engineering, Indian Institute of Technology Kharagpur, India
| | - Abhishek Penchala
- Department of Mining Engineering, Indian Institute of Technology Kharagpur, India
| | - Sachidanand Kumar
- Department of Mining Engineering, Indian Institute of Technology Kharagpur, India
| | - Namrata Mishra
- School of Environmental Science and Engineering, Indian Institute of Technology Kharagpur, India
| | - Naragam Bhanu Sree
- School of Environmental Science and Engineering, Indian Institute of Technology Kharagpur, India
| | - Samrat Santra
- School of Environmental Science and Engineering, Indian Institute of Technology Kharagpur, India
| | - Ravish Dubey
- Yale School of Environment, Yale University, USA
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Mitra P, Chakraborty D, Nayek S, Kundu S, Mishra D, Dan U, Mondal NK. Biomass using tribal women exhibited respiratory symptoms, hypertensive risks and abnormal pulmonary function. CHEMOSPHERE 2023; 311:136995. [PMID: 36330973 DOI: 10.1016/j.chemosphere.2022.136995] [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: 07/01/2022] [Revised: 10/18/2022] [Accepted: 10/21/2022] [Indexed: 06/16/2023]
Abstract
In rural areas of developing countries, solid fuels are still widely used for cooking, heating, and lighting purposes. This study investigates the effects of household air pollutants (HAPs) exposure on the occurrence of respiratory symptoms, blood pressure, and lung function. In this study, we randomly selected 123 (83 biomass and 40 clean fuel user) subjects to assess the impact of smoke generated from solid biomass fuel by assessing their health status along with the ventilation pattern of the kitchens and living rooms. HAPs (PM10, PM2.5, and CO) and different health parameters were measured along with monitoring of self-reported health symptoms for a consecutive period of eight months. Results revealed that the concentration of CO, PM2.5, and PM10 were found highest in biomass using households. Higher odds of the upper respiratory symptoms, runny nose (OR: 4.08, 95% CI: 1.22-22.14, p < 0.03), nasal congestion (OR: 9.07, 95% CI: 1.39-97.89, p < 0.01) and the odds of the lower respiratory symptoms like wheezing (OR: 1.62, 95% CI: 1.23-10.94, p < 0.01), breathlessness (OR: 4.44, 95% CI: 1.3-14.75, p < 0.01), chest tightness (OR: 4.89, 95% CI: 1.23-22.14, p < 0.03) and dry cough (OR: 3.661, 95% CI: 1.05-12.25, p < 0.04) were significantly higher in biomass fuel user. Similarly higher systolic (+11.41 mmHg), higher diastolic pressure (+3.3 mmHg), higher pulse pressure (+8.11 mmHg), and a 6 mmHg higher mean arterial pressure among biomass fuel using tribal women. The risk of hypertension was significantly (p < 0.03) higher (OR: 3.04; 95% CI: 1.18-7.89) among solid biomass fuel users. The lung abnormality was recorded 28.91% (OR: 5.02, 95% CI: 1.50 to 16.56, p < 0.01) among biomass fuel user. Finally, it is suggested that the use of efficient cookstoves, increase in cross ventilation, and cleaner fuel are urgently needed to curb the pollution load.
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Affiliation(s)
- Pradip Mitra
- Environmental Chemistry Laboratory, Department of Environmental Science, The University of Burdwan, West, Bengal, India
| | - Deep Chakraborty
- Department of Environmental Health Engineering, Faculty of Public Health, Sri Ramachandra Institute of Higher Education and Research (DU), Chennai, Tamilnadu, 600116, India
| | - Sukanta Nayek
- Environmental Chemistry Laboratory, Department of Environmental Science, The University of Burdwan, West, Bengal, India
| | - Soumya Kundu
- Environmental Chemistry Laboratory, Department of Environmental Science, The University of Burdwan, West, Bengal, India
| | - Debojyoti Mishra
- Environmental Chemistry Laboratory, Department of Environmental Science, The University of Burdwan, West, Bengal, India
| | - Utpal Dan
- Principal, Diamond Harbour Government Medical College and Hospital, South 24, Pargans, West Bengal, India
| | - Naba Kumar Mondal
- Environmental Chemistry Laboratory, Department of Environmental Science, The University of Burdwan, West, Bengal, India.
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