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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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Curto A, Nunes J, Milà C, Nhacolo A, Hänninen R, Sofiev M, Valentín A, Saúte F, Kogevinas M, Sacoor C, Bassat Q, Tonne C. Associations between landscape fires and child morbidity in southern Mozambique: a time-series study. Lancet Planet Health 2024; 8:e41-e50. [PMID: 38199722 DOI: 10.1016/s2542-5196(23)00251-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2022] [Revised: 10/25/2023] [Accepted: 10/30/2023] [Indexed: 01/12/2024]
Abstract
BACKGROUND Epidemiological evidence linking exposure to landscape fires to child health remains scarce. We assessed the association between daily landscape fire smoke and child hospital visits and admissions in the Manhiça district, Mozambique, an area characterised by frequent forest and cropland fires. METHODS In this time-series analysis (2012-20), our primary metric for exposure to landscape fires was fire-originated PM2·5 from smoke dispersion hindcasts. We also assessed total and upwind fire exposure using daily satellite-derived fire density data. Daily numbers of hospital visits and admissions were extracted from an ongoing paediatric morbidity surveillance system (children aged ≤15 years). We applied quasi-Poisson regression models controlling for season, long-term trend, day of the week, temperature, and rainfall, and offsetting by annual population-time at risk to examine lag-specific association of fires on morbidity. FINDINGS A 10 μg/m3 increase in fire-originated PM2·5 was associated with a 6·12% (95% CI 0·37-12·21) increase in all-cause and a 12·43% (5·07-20·31) increase in respiratory-linked hospital visits on the following day. Positive associations were also observed for lag 0 and the cumulative lag of 0-1 days. Null associations were observed for hospital admissions. Landscape fires mostly occurred in forested areas; however, associations with child morbidity were stronger for cropland than for forest fires. INTERPRETATION Landscape fire smoke was associated with all-cause and respiratory-linked morbidity in children. Improved exposure assessment is needed to better quantify the contribution of landscape fire smoke to child health in regions with scarce air pollution monitoring. FUNDING H2020 project EXHAUSTION, Academy of Finland, Spanish Ministry of Science and Innovation, Generalitat de Catalunya, and Government of Mozambique and Spanish Agency for International Cooperation and Development.
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Affiliation(s)
- Ariadna Curto
- Barcelona Institute for Global Health, Barcelona, Spain; Department de Ciències Experimentals i de la Salut, Universitat Pompeu Fabra, Barcelona, Spain; CIBER Epidemiología y Salud Pública, Madrid, Spain
| | - Jovito Nunes
- Hospital Clínic-Universitat de Barcelona, Barcelona, Spain; Centro de Investigação em Saúde de Manhiça, Maputo, Mozambique
| | - Carles Milà
- Barcelona Institute for Global Health, Barcelona, Spain; Department de Ciències Experimentals i de la Salut, Universitat Pompeu Fabra, Barcelona, Spain; CIBER Epidemiología y Salud Pública, Madrid, Spain
| | - Arsenio Nhacolo
- Centro de Investigação em Saúde de Manhiça, Maputo, Mozambique
| | | | | | - Antònia Valentín
- Barcelona Institute for Global Health, Barcelona, Spain; Department de Ciències Experimentals i de la Salut, Universitat Pompeu Fabra, Barcelona, Spain; CIBER Epidemiología y Salud Pública, Madrid, Spain
| | - Francisco Saúte
- Centro de Investigação em Saúde de Manhiça, Maputo, Mozambique
| | - Manolis Kogevinas
- Barcelona Institute for Global Health, Barcelona, Spain; Department de Ciències Experimentals i de la Salut, Universitat Pompeu Fabra, Barcelona, Spain; CIBER Epidemiología y Salud Pública, Madrid, Spain; Hospital del Mar Medical Research Institute, Barcelona, Spain
| | | | - Quique Bassat
- Hospital Clínic-Universitat de Barcelona, Barcelona, Spain; CIBER Epidemiología y Salud Pública, Madrid, Spain; Centro de Investigação em Saúde de Manhiça, Maputo, Mozambique; Institució Catalana de Recerca i Estudis Avançats, Barcelona, Spain; Pediatric Infectious Diseases Unit, Pediatrics Department, Hospital Sant Joan de Déu, University of Barcelona, Barcelona, Spain
| | - Cathryn Tonne
- Barcelona Institute for Global Health, Barcelona, Spain; Department de Ciències Experimentals i de la Salut, Universitat Pompeu Fabra, Barcelona, Spain; CIBER Epidemiología y Salud Pública, Madrid, Spain; Centro de Investigação em Saúde de Manhiça, Maputo, Mozambique.
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3
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Raqib R, Akhtar E, Ahsanul Haq M, Ahmed S, Haque F, Chowdhury MAH, Shahriar MH, Begum BA, Eunus M, Sarwar G, Parvez F, Sharker Y, Ahsan H, Yunus M. Reduction of household air pollution through clean fuel intervention and recovery of cellular immune balance. ENVIRONMENT INTERNATIONAL 2023; 179:108137. [PMID: 37579572 PMCID: PMC11062205 DOI: 10.1016/j.envint.2023.108137] [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: 12/21/2022] [Revised: 08/01/2023] [Accepted: 08/07/2023] [Indexed: 08/16/2023]
Abstract
BACKGROUND We conducted a clean fuel intervention trial (Bangladesh Global Environmental and Occupational Health (GEOHealth) (NCT02824237) with liquefied petroleum gas (LPG) for 26 months among rural Bangladeshi women chronically exposed to household air pollution (HAP) from biomass fuel (BMF) use. We aimed to evaluate the effect of HAP reduction following LPG intervention on immune response outcome. METHODS We supplied LPG cook stove and refills in cylinder in 200 households for 26 months. We measured personal exposure to HAP [particulate matter 2.5 (PM2·5), black carbon (BC) and carbon monoxide (CO)] in 200 women (main cook) by personal monitors at pre- and post-intervention. Immune function was assessed before and after intervention, in blood collected within 2 weeks of HAP measurements. Primary endpoints included reduction in HAP, lymphocyte proliferation and oxidative stress response, and alterations in T and B cell proportions. FINDINGS Exclusive LPG use for 26 months resulted in significant reduction in PM2·5 (43.5%), BC (13%) and CO (48%) exposure in the women. For one unit decrease in BC, Treg cells and memory B cells increased by 7% and 34% respectively, in the peripheral circulation. One unit decrease in CO was significantly associated with increase in early B cells and plasmablasts by 66% and 5% respectively. For one unit decrease in BC, percent-dividing cells, proliferation and expansion indices increased by 2%, 0.4%, and 1%, respectively. INTERPRETATION Reduced personal exposure to HAP through clean fuel intervention was related to a return towards cellular immune balance.
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Affiliation(s)
| | | | | | | | | | | | | | | | - Mahbub Eunus
- U-Chicago Research Bangladesh, Mohakhali, Dhaka, Bangladesh
| | - Golam Sarwar
- U-Chicago Research Bangladesh, Mohakhali, Dhaka, Bangladesh
| | - Faruque Parvez
- Mailman School of Public Health, Columbia University, New York, USA
| | | | - Habibul Ahsan
- Department of Public Health Sciences, University of Chicago, Chicago, USA; U-Chicago Research Bangladesh, Mohakhali, Dhaka, Bangladesh
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4
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Ardiyani V, Wooster M, Grosvenor M, Lestari P, Suri W. The infiltration of wildfire smoke and its potential dose on pregnant women: Lessons learned from Indonesia wildfires in 2019. Heliyon 2023; 9:e18513. [PMID: 37576226 PMCID: PMC10413005 DOI: 10.1016/j.heliyon.2023.e18513] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2023] [Revised: 07/18/2023] [Accepted: 07/19/2023] [Indexed: 08/15/2023] Open
Abstract
The occurrence of wildfires in Indonesia is prevalent during drought seasons. Multiple toxic pollutants emitted from wildfires have deleterious effects on pregnant women. However, the evidence for these on pregnant women was underreported. The study conducted 24-h monitoring of fine particulate matter (PM2.5) concentrations indoors and outdoors in 9 low-income homes in Palangka Raya during the 2019 wildfire season and 6 low-income homes during the 2019 non-wildfire season. A hundred and seventy pregnant women had their PM exposure assessed between July and October 2019 using personal monitors. It was observed that outdoor air pollutant levels were greater than those found indoors without indoor sources. The findings indicate that indoor PM2.5 concentrations were modestly increased by 1.2 times higher than outdoor, suggesting that buildings only partially protected people from exposure during wildfires. The concentrations of PM2.5 were found to be comparatively higher indoors in residential buildings with wood material than in brick houses. The study findings indicate that 8 out of 12 brick houses exhibited a notable RI/O24 h of less than 1 during the wildfires, whereas all I/O24 h ratios during the non-wildfire season were >1, suggesting the influence of indoor sources. Based on the estimation of daily PM2.5 dose, pregnant women received around 21% of their total daily dose during sedentary activity involving cooking. The present research offers empirical support for the view that indoor air quality in low-income households is affected by a complex combination of factors, including wildfire smoke, air tightness, and occupant behaviour. Also, this situation is more likely a potential risk to pregnant women being exposed to wildfire smoke.
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Affiliation(s)
- Vissia Ardiyani
- Health Polytechnic of Palangka Raya, 30-32 G. Obos St., Palangka Raya, Central Kalimantan, Indonesia
- King’s College London, Analytical and Environmental Sciences, 150 Stamford Street, London, UK
| | - Martin Wooster
- King’s College London, Department of Geography, King's College London, Aldwych, London, UK
- Leverhulme Centre for Wildfires, Environment and Society, Imperial College London, South Kensington, London, UK
| | - Mark Grosvenor
- King’s College London, Department of Geography, King's College London, Aldwych, London, UK
- Leverhulme Centre for Wildfires, Environment and Society, Imperial College London, South Kensington, London, UK
| | - Puji Lestari
- Bandung Institute of Technology, 10 Ganesha St., Bandung, Indonesia
| | - Wiranda Suri
- Bandung Institute of Technology, 10 Ganesha St., Bandung, Indonesia
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5
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Maung TZ, Bishop JE, Holt E, Turner AM, Pfrang C. Indoor Air Pollution and the Health of Vulnerable Groups: A Systematic Review Focused on Particulate Matter (PM), Volatile Organic Compounds (VOCs) and Their Effects on Children and People with Pre-Existing Lung Disease. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:ijerph19148752. [PMID: 35886604 PMCID: PMC9316830 DOI: 10.3390/ijerph19148752] [Citation(s) in RCA: 44] [Impact Index Per Article: 22.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/03/2022] [Revised: 07/05/2022] [Accepted: 07/08/2022] [Indexed: 12/02/2022]
Abstract
Air pollution affects health, but much of the focus to this point has been on outdoor air. Higher indoor pollution is anticipated due to increasingly energy-efficient and less leaky buildings together with more indoor activities. Studies of indoor air pollution focusing on children and people with respiratory disease from the database Web of Science (1991–2021) were systemically reviewed according to the PRISMA guidelines, with 69 studies included in the final selection. Emissions from building materials affected indoor air quality, and ventilation also had an influence. The main indoor air pollutants are Volatile Organic Compounds (VOCs) and Particulate Matter (PM). PM sources included smoking, cooking, heating, candles, and insecticides, whereas sources of coarse particles were pets, housework and human movements. VOC sources included household products, cleaning agents, glue, personal care products, building materials and vehicle emissions. Formaldehyde levels were particularly high in new houses. Personal exposure related to both indoor and outdoor pollutant levels, highlighting home characteristics and air exchange rates as important factors. Temperature, humidity, educational level, air purifiers and time near sources were also related to personal exposure. There was an association between PM and Fractional exhaled Nitric Oxide (FeNO), lung function, oxygen saturation, childhood asthma and symptoms of chronic obstructive pulmonary disease (COPD) patients. High VOCs were associated with upper airways and asthma symptoms and cancer. Effective interventional studies for PM in the future might focus on human behavior together with air purifiers and increased ventilation, whereas VOC interventions might center more on building materials and household products, alongside purification and ventilation.
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Affiliation(s)
- Tun Z. Maung
- UHB NHS Foundation Trust, Inflammation and Aging, University of Birmingham, Edgbaston, Birmingham B15 2TT, UK;
| | - Jack E. Bishop
- School of Geography, Earth & Environmental Sciences, University of Birmingham, Edgbaston, Birmingham B15 2TT, UK; (J.E.B.); (E.H.)
| | - Eleanor Holt
- School of Geography, Earth & Environmental Sciences, University of Birmingham, Edgbaston, Birmingham B15 2TT, UK; (J.E.B.); (E.H.)
| | - Alice M. Turner
- UHB NHS Foundation Trust, Institute of Applied Health Research, University of Birmingham, Edgbaston, Birmingham B15 2TT, UK;
| | - Christian Pfrang
- School of Geography, Earth & Environmental Sciences, University of Birmingham, Edgbaston, Birmingham B15 2TT, UK; (J.E.B.); (E.H.)
- Correspondence:
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6
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Ingole V, Dimitrova A, Sampedro J, Sacoor C, Acacio S, Juvekar S, Roy S, Moraga P, Basagaña X, Ballester J, Antó JM, Tonne C. Local mortality impacts due to future air pollution under climate change scenarios. THE SCIENCE OF THE TOTAL ENVIRONMENT 2022; 823:153832. [PMID: 35151734 DOI: 10.1016/j.scitotenv.2022.153832] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/17/2021] [Revised: 01/27/2022] [Accepted: 02/08/2022] [Indexed: 06/14/2023]
Abstract
The health impacts of global climate change mitigation will affect local populations differently. However, most co-benefits analyses have been done at a global level, with relatively few studies providing local level results. We aimed to quantify the local health impacts due to fine particles (PM2.5) under the governance arrangements embedded in the Shared Socioeconomic Pathways (SSPs1-5) under two greenhouse gas concentration scenarios (Representative Concentration Pathways (RCPs) 2.6 and 8.5) in local populations of Mozambique, India, and Spain. We simulated the SSP-RCP scenarios using the Global Change Analysis Model, which was linked to the TM5-FASST model to estimate PM2.5 levels. PM2.5 levels were calibrated with local measurements. We used comparative risk assessment methods to estimate attributable premature deaths due to PM2.5 linking local population and mortality data with PM2.5-mortality relationships from the literature, and incorporating population projections under the SSPs. PM2.5 attributable burdens in 2050 differed across SSP-RCP scenarios, and sensitivity of results across scenarios varied across populations. Future attributable mortality burden of PM2.5 was highly sensitive to assumptions about how populations will change according to SSP. SSPs reflecting high challenges for adaptation (SSPs 3 and 4) consistently resulted in the highest PM2.5 attributable burdens mid-century. Our analysis of local PM2.5 attributable premature deaths under SSP-RCP scenarios in three local populations highlights the importance of both socioeconomic development and climate policy in reducing the health burden from air pollution. Sensitivity of future PM2.5 mortality burden to SSPs was particularly evident in low- and middle- income country settings due either to high air pollution levels or dynamic populations.
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Affiliation(s)
- Vijendra Ingole
- Barcelona Institute for Global Health (ISGlobal), Universitat Pompeu Fabra, CIBER Epidemiología y Salud Pública, Barcelona, Parc de Salut Mar, Spain; King Abdullah University of Science and Technology (KAUST), Computer, Electrical and Mathematical Science and Engineering Division, Saudi Arabia
| | - Asya Dimitrova
- Barcelona Institute for Global Health (ISGlobal), Universitat Pompeu Fabra, CIBER Epidemiología y Salud Pública, Barcelona, Parc de Salut Mar, Spain
| | - Jon Sampedro
- Basque Centre for Climate Change (BC3), Sede Building 1, 1st Floor Scientific Campus of the University of the Basque Country, 48940 Leioa, Spain
| | | | | | - Sanjay Juvekar
- Vadu Rural Health Program, KEM Hospital Research Centre, Pune, India
| | - Sudipto Roy
- Vadu Rural Health Program, KEM Hospital Research Centre, Pune, India
| | - Paula Moraga
- King Abdullah University of Science and Technology (KAUST), Computer, Electrical and Mathematical Science and Engineering Division, Saudi Arabia
| | - Xavier Basagaña
- Barcelona Institute for Global Health (ISGlobal), Universitat Pompeu Fabra, CIBER Epidemiología y Salud Pública, Barcelona, Parc de Salut Mar, Spain
| | - Joan Ballester
- Barcelona Institute for Global Health (ISGlobal), Universitat Pompeu Fabra, CIBER Epidemiología y Salud Pública, Barcelona, Parc de Salut Mar, Spain
| | - Josep M Antó
- Barcelona Institute for Global Health (ISGlobal), Universitat Pompeu Fabra, CIBER Epidemiología y Salud Pública, Barcelona, Parc de Salut Mar, Spain
| | - Cathryn Tonne
- Barcelona Institute for Global Health (ISGlobal), Universitat Pompeu Fabra, CIBER Epidemiología y Salud Pública, Barcelona, Parc de Salut Mar, Spain.
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7
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Wang Y, Shupler M, Birch A, Chu YL, Jeronimo M, Rangarajan S, Mustaha M, Heenan L, Seron P, Lanas F, Salazar L, Saavedra N, Oliveros MJ, Lopez-Jaramillo P, Camacho PA, Otero J, Perez-Mayorga M, Yeates K, West N, Ncube T, Ncube B, Chifamba J, Yusuf R, Khan A, Liu Z, Bo H, Wei L, Tse LA, Mohan D, Kumar P, Gupta R, Mohan I, Jayachitra KG, Mony PK, Rammohan K, Nair S, Lakshmi PVM, Sagar V, Khawaja R, Iqbal R, Kazmi K, Yusuf S, Brauer M, Hystad P. Measuring and predicting personal and household Black Carbon levels from 88 communities in eight countries. THE SCIENCE OF THE TOTAL ENVIRONMENT 2022; 818:151849. [PMID: 34822894 DOI: 10.1016/j.scitotenv.2021.151849] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/18/2021] [Revised: 11/16/2021] [Accepted: 11/17/2021] [Indexed: 06/13/2023]
Abstract
Black Carbon (BC) is an important component of household air pollution (HAP) in low- and middle- income countries (LMICs), but levels and drivers of exposure are poorly understood. As part of the Prospective Urban and Rural Epidemiological (PURE) study, we analyzed 48-hour BC measurements for 1187 individual and 2242 household samples from 88 communities in 8 LMICs (Bangladesh, Chile, China, Colombia, India, Pakistan, Tanzania, and Zimbabwe). Light absorbance (10-5 m-1) of collected PM2.5 filters, a proxy for BC concentrations, was calculated via an image-based reflectance method. Surveys of household/personal characteristics and behaviors were collected after monitoring. The geometric mean (GM) of personal and household BC measures was 2.4 (3.3) and 3.5 (3.9)·10-5 m-1, respectively. The correlation between BC and PM2.5 was r = 0.76 for personal and r = 0.82 for household measures. A gradient of increasing BC concentrations was observed for cooking fuels: BC increased 53% (95%CI: 30, 79) for coal, 142% (95%CI: 117, 169) for wood, and 190% (95%CI: 149, 238) for other biomass, compared to gas. Each hour of cooking was associated with an increase in household (5%, 95%CI: 3, 7) and personal (5%, 95%CI: 2, 8) BC; having a window in the kitchen was associated with a decrease in household (-38%, 95%CI: -45, -30) and personal (-31%, 95%CI: -44, -15) BC; and cooking on a mud stove, compared to a clean stove, was associated with an increase in household (125%, 95%CI: 96, 160) and personal (117%, 95%CI: 71, 117) BC. Male participants only had slightly lower personal BC (-0.6%, 95%CI: -1, 0.0) compared to females. In multivariate models, we were able to explain 46-60% of household BC variation and 33-54% of personal BC variation. These data and models provide new information on exposure to BC in LMICs, which can be incorporated into future exposure assessments, health research, and policy surrounding HAP and BC.
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Affiliation(s)
- Ying Wang
- College of Public Health and Human Sciences, Oregon State University, Corvallis, OR, United States
| | - Matthew Shupler
- School of Population and Public Health, University of British Columbia, Vancouver, British Columbia, Canada; Department of Public Health, Policy and Systems, University of Liverpool, Liverpool, United Kingdom
| | - Aaron Birch
- School of Population and Public Health, University of British Columbia, Vancouver, British Columbia, Canada
| | - Yen Li Chu
- School of Population and Public Health, University of British Columbia, Vancouver, British Columbia, Canada
| | - Matthew Jeronimo
- School of Population and Public Health, University of British Columbia, Vancouver, British Columbia, Canada
| | - Sumathy Rangarajan
- Population Health Research Institute, Hamilton Health Sciences, McMaster University, Hamilton, Ontario, Canada
| | - Maha Mustaha
- Population Health Research Institute, Hamilton Health Sciences, McMaster University, Hamilton, Ontario, Canada
| | - Laura Heenan
- Population Health Research Institute, Hamilton Health Sciences, McMaster University, Hamilton, Ontario, Canada
| | | | | | | | | | | | | | - Paul A Camacho
- Fundación Oftalmológica de Santander (FOSCAL), Floridablanca, Colombia
| | - Johnna Otero
- Fundación Oftalmológica de Santander (FOSCAL), Floridablanca, Colombia
| | - Maritza Perez-Mayorga
- Facultad de Medicina Universidad Militar Nueva Granada and Clinica de Marly, Bogota, Colombia
| | - Karen Yeates
- Pamoja Tunaweza Research Centre, Moshi, Tanzania; Department of Medicine, Queen's University, Kingston, Ontario, Canada
| | - Nicola West
- Pamoja Tunaweza Research Centre, Moshi, Tanzania
| | - Tatenda Ncube
- Department of Biomedical Sciences, University of Zimbabwe, Harare, Zimbabwe
| | - Brian Ncube
- Department of Biomedical Sciences, University of Zimbabwe, Harare, Zimbabwe
| | - Jephat Chifamba
- Department of Biomedical Sciences, University of Zimbabwe, Harare, Zimbabwe
| | - Rita Yusuf
- School of Life Sciences, Independent University, Dhaka, Bangladesh
| | - Afreen Khan
- School of Life Sciences, Independent University, Dhaka, Bangladesh
| | - Zhiguang Liu
- Beijing An Zhen Hospital of the Capital University of Medical Sciences, China
| | - Hu Bo
- Medical Research & Biometrics Center, National Center for Cardiovascular Diseases, Fuwai Hospital, Chinese Academy of Medical Sciences, China
| | - Li Wei
- Medical Research & Biometrics Center, National Center for Cardiovascular Diseases, Fuwai Hospital, Chinese Academy of Medical Sciences, China
| | - L A Tse
- Jockey Club School of Public health and Primary Care, the Chinese University of Hong Kong, HKSAR, China
| | - Deepa Mohan
- Madras Diabetes Research Foundation, Chennai, India
| | | | - Rajeev Gupta
- Eternal Heart Care Centre & Research Institute, Jaipur, India
| | - Indu Mohan
- Mahatma Gandhi University of Medical Sciences and Technology, Jaipur, India
| | - K G Jayachitra
- St. John's Medical College & Research Institute, Bangalore, India
| | - Prem K Mony
- St. John's Medical College & Research Institute, Bangalore, India
| | - Kamala Rammohan
- Health Action By People, Government Medical College, Trivandrum, India
| | - Sanjeev Nair
- Health Action By People, Government Medical College, Trivandrum, India
| | - P V M Lakshmi
- Post Graduate Institute of Medical Education and Research, Chandigarh, India
| | - Vivek Sagar
- Post Graduate Institute of Medical Education and Research, Chandigarh, India
| | - Rehman Khawaja
- Department of Community Health Science, Aga Khan University Hospital, Karachi, Pakistan
| | - Romaina Iqbal
- Department of Community Health Science, Aga Khan University Hospital, Karachi, Pakistan
| | - Khawar Kazmi
- Department of Community Health Science, Aga Khan University Hospital, Karachi, Pakistan
| | - Salim Yusuf
- Population Health Research Institute, Hamilton Health Sciences, McMaster University, Hamilton, Ontario, Canada
| | - Michael Brauer
- School of Population and Public Health, University of British Columbia, Vancouver, British Columbia, Canada
| | - Perry Hystad
- College of Public Health and Human Sciences, Oregon State University, Corvallis, OR, United States.
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8
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Miri M, Rezaei H, Momtaz SM, Najafi ML, Adli A, Pajohanfar NS, Abroudi M, Bazghandi MS, Razavi Z, Alonso L, Tonne C, Basagaña X, Nieuwenhuijsen MJ, Sunyer J, Nawrot TS, Dadvand P. Determinants of carbon load in airway macrophages in pregnant women. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2022; 297:118765. [PMID: 34973383 DOI: 10.1016/j.envpol.2021.118765] [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: 09/02/2021] [Revised: 11/23/2021] [Accepted: 12/27/2021] [Indexed: 06/14/2023]
Abstract
The airway macrophages carbon loading (AMCL) has been suggested to be a biomarker of the long-term exposure to air pollution; however, to date no study has characterized AMCL for the pregnancy period. Therefore, this study aimed to assess the determinants of AMCL during pregnancy in Iran, a middle-income country. This study was based on a sample of 234 pregnant women with term and normal vaginal delivery who were residing in Sabzevar, Iran (2019). We characterized 35 potential determinants of personal exposure to air pollution for each participant, including six personal, nine indoor, and 20 home-outdoor factors. We applied Deletion/Substitution/Addition algorithm to identify the most relevant determinants that could predict AMCL levels. The median (IQR) of AMCL level was 0.12 (0.30) μm2 with a successful sputum induction in 82.9% (194) of participants. Ambient residential PM2.5 levels were positively associated with higher AMCL levels. On the other hand, increased residential distance to the traffic lights, squares and ring-roads, the duration of opening window per day, and opening window during cooking were inversely associated with AMCL levels. Our findings provide novel insights on the different personal, indoor, and outdoor determinants of personal exposure to air pollution during pregnancy in a middle-income country.
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Affiliation(s)
- Mohammad Miri
- Non-Communicable Diseases Research Center, Department of Environmental Health, School of Health, Sabzevar University of Medical Sciences, Sabzevar, Iran
| | - Hossein Rezaei
- Student Research Committee, Department of Environmental Health, School of Health, Sabzevar University of Medical Sciences, Sabzevar, Iran
| | - Seyed Mojtaba Momtaz
- Department of Environmental Health Engineering, Zarand School of Nursing, Kerman University of Medical Sciences, Kerman, Iran
| | - Moslem Lari Najafi
- Pharmaceutical Sciences and Cosmetic Products Research Center, Kerman University of Medical Sciences, Kerman, Iran
| | - Abolfazl Adli
- Cellular and Molecular Research Center, Sabzevar University of Medical Sciences, Sabzevar, Iran
| | - Nasim Sadat Pajohanfar
- Cellular and Molecular Research Center, Sabzevar University of Medical Sciences, Sabzevar, Iran
| | - Mina Abroudi
- Cellular and Molecular Research Center, Sabzevar University of Medical Sciences, Sabzevar, Iran
| | - Malihe Sadat Bazghandi
- Cellular and Molecular Research Center, Sabzevar University of Medical Sciences, Sabzevar, Iran
| | - Zahra Razavi
- Cellular and Molecular Research Center, Sabzevar University of Medical Sciences, Sabzevar, Iran
| | - Lucia Alonso
- ISGlobal, Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Spain
| | - Cathryn Tonne
- ISGlobal, Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Spain
| | - Xavier Basagaña
- ISGlobal, Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Spain
| | - Mark J Nieuwenhuijsen
- ISGlobal, Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Spain
| | - Jordi Sunyer
- ISGlobal, Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Spain
| | - Tim S Nawrot
- Centre for Environmental Sciences, Hasselt University, Hasselt, Belgium; Department of Public Health & Primary Care, Leuven University, Leuven, Belgium
| | - Payam Dadvand
- ISGlobal, Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Spain.
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9
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Lim S, Barratt B, Holliday L, Griffiths CJ, Mudway IS. Characterising professional drivers' exposure to traffic-related air pollution: Evidence for reduction strategies from in-vehicle personal exposure monitoring. ENVIRONMENT INTERNATIONAL 2021; 153:106532. [PMID: 33812042 DOI: 10.1016/j.envint.2021.106532] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/18/2020] [Revised: 02/26/2021] [Accepted: 03/14/2021] [Indexed: 06/12/2023]
Abstract
Professional drivers working in congested urban areas are required to work near harmful traffic related pollutants for extended periods, representing a significant, but understudied occupational risk. This study collected personal black carbon (BC) exposures for 141 drivers across seven sectors in London. The aim of the study was to assess the magnitude and the primary determinants of their exposure, leading to the formulation of targeted exposure reduction strategies for the occupation. Each participant's personal BC exposures were continuously measured using real-time monitors for 96 h, incorporating four shifts per participant. 'At work' BC exposures (3.1 ± 3.5 µg/m3) were 2.6 times higher compared to when 'not at work' (1.2 ± 0.7 µg/m3). Workers spent 19% of their time 'at work driving', however this activity contributed 36% of total BC exposure, highlighting the disproportionate effect driving had on their daily exposure. Taxi drivers experienced the highest BC exposures due to the time they spent working in congested central London, while emergency services had the lowest. Spikes in exposure were observed while driving and were at times greater than 100 µg/m3. The most significant determinants of drivers' exposures were driving in tunnels, congestion, location, day of week and time of shift. Driving with closed windows significantly reduced exposures and is a simple behaviour change drivers could implement. Our results highlight strategies by which employers and local policy makers can reduce professional drivers' exposure to traffic-related air pollution.
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Affiliation(s)
- Shanon Lim
- MRC Centre for Environment and Health, Imperial College London, SW7 2AZ London, UK.
| | - Benjamin Barratt
- MRC Centre for Environment and Health, Imperial College London, SW7 2AZ London, UK; NIHR Environmental Exposure and Health HPRU, Imperial College London, UK
| | - Lois Holliday
- Institute of Population Health Sciences, Asthma UK Centre for Applied Research, Barts and the London School of Medicine and Dentistry, Queen Mary University of London, UK
| | - Chris J Griffiths
- Institute of Population Health Sciences, Asthma UK Centre for Applied Research, Barts and the London School of Medicine and Dentistry, Queen Mary University of London, UK; MRC and Asthma UK Centre in Allergic Mechanisms of Asthma, King's College London, London, UK
| | - Ian S Mudway
- MRC Centre for Environment and Health, Imperial College London, SW7 2AZ London, UK; MRC and Asthma UK Centre in Allergic Mechanisms of Asthma, King's College London, London, UK; NIHR Environmental Exposure and Health HPRU, Imperial College London, UK
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10
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Alli AS, Clark SN, Hughes A, Nimo J, Bedford-Moses J, Baah S, Wang J, Vallarino J, Agyemang E, Barratt B, Beddows A, Kelly F, Owusu G, Baumgartner J, Brauer M, Ezzati M, Agyei-Mensah S, Arku RE. Spatial-temporal patterns of ambient fine particulate matter (PM 2.5) and black carbon (BC) pollution in Accra. ENVIRONMENTAL RESEARCH LETTERS : ERL [WEB SITE] 2021; 16:074013. [PMID: 34239599 PMCID: PMC8227509 DOI: 10.1088/1748-9326/ac074a] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/15/2021] [Revised: 05/28/2021] [Accepted: 06/02/2021] [Indexed: 05/06/2023]
Abstract
Sub-Saharan Africa (SSA) is rapidly urbanizing, and ambient air pollution has emerged as a major environmental health concern in growing cities. Yet, effective air quality management is hindered by limited data. We deployed robust, low-cost and low-power devices in a large-scale measurement campaign and characterized within-city variations in fine particulate matter (PM2.5) and black carbon (BC) pollution in Accra, Ghana. Between April 2019 and June 2020, we measured weekly gravimetric (filter-based) and minute-by-minute PM2.5 concentrations at 146 unique locations, comprising of 10 fixed (∼1 year) and 136 rotating (7 day) sites covering a range of land-use and source influences. Filters were weighed for mass, and light absorbance (10-5m-1) of the filters was used as proxy for BC concentration. Year-long data at four fixed sites that were monitored in a previous study (2006-2007) were compared to assess changes in PM2.5 concentrations. The mean annual PM2.5 across the fixed sites ranged from 26 μg m-3 at a peri-urban site to 43 μg m-3 at a commercial, business, and industrial (CBI) site. CBI areas had the highest PM2.5 levels (mean: 37 μg m-3), followed by high-density residential neighborhoods (mean: 36 μg m-3), while peri-urban areas recorded the lowest (mean: 26 μg m-3). Both PM2.5 and BC levels were highest during the dry dusty Harmattan period (mean PM2.5: 89 μg m-3) compared to non-Harmattan season (mean PM2.5: 23 μg m-3). PM2.5 at all sites peaked at dawn and dusk, coinciding with morning and evening heavy traffic. We found about a 50% reduction (71 vs 37 μg m-3) in mean annual PM2.5 concentrations when compared to measurements in 2006-2007 in Accra. Ambient PM2.5 concentrations in Accra may have plateaued at levels lower than those seen in large Asian megacities. However, levels are still 2- to 4-fold higher than the WHO guideline. Effective and equitable policies are needed to reduce pollution levels and protect public health.
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Affiliation(s)
- Abosede S Alli
- Department of Environmental Health Sciences, School of Public Health and Health Sciences, University of Massachusetts, Amherst, MA, United States of America
| | - Sierra N Clark
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College, London, United Kingdom
- MRC Center for Environment and Health, Imperial College London, London, United Kingdom
| | - Allison Hughes
- Department of Physics, University of Ghana, Legon, Ghana
| | - James Nimo
- Department of Physics, University of Ghana, Legon, Ghana
| | | | - Solomon Baah
- Department of Physics, University of Ghana, Legon, Ghana
| | - Jiayuan Wang
- Department of Environmental Health Sciences, School of Public Health and Health Sciences, University of Massachusetts, Amherst, MA, United States of America
| | - Jose Vallarino
- Harvard T.H. Chan School of Public Health, Boston, MA, United States of America
| | - Ernest Agyemang
- Department of Geography and Resource Development, University of Ghana, Legon, Ghana
| | - Benjamin Barratt
- MRC Center for Environment and Health, Imperial College London, London, United Kingdom
- NIHR HPRU in Environmental Exposures and Health, Imperial College London, London, United Kingdom
| | - Andrew Beddows
- MRC Center for Environment and Health, Imperial College London, London, United Kingdom
- NIHR HPRU in Environmental Exposures and Health, Imperial College London, London, United Kingdom
| | - Frank Kelly
- MRC Center for Environment and Health, Imperial College London, London, United Kingdom
- NIHR HPRU in Environmental Exposures and Health, Imperial College London, London, United Kingdom
| | - George Owusu
- Department of Geography and Resource Development, University of Ghana, Legon, Ghana
| | - Jill Baumgartner
- Institute for Health and Social Policy, McGill University, Montreal, Canada
- Department of Epidemiology, Biostatistics, and Occupational Health, McGill University, Montreal, Canada
| | - Michael Brauer
- School of Population and Public Health, The University of British Columbia, Vancouver, Canada
- Institute for Health Metrics and Evaluation, University of Washington, Seattle, United States of America
| | - Majid Ezzati
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College, London, United Kingdom
- MRC Center for Environment and Health, Imperial College London, London, United Kingdom
- Regional Institute for Population Studies, University of Ghana, Legon, Ghana
| | - Samuel Agyei-Mensah
- Department of Geography and Resource Development, University of Ghana, Legon, Ghana
| | - Raphael E Arku
- Department of Environmental Health Sciences, School of Public Health and Health Sciences, University of Massachusetts, Amherst, MA, United States of America
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11
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Virji MA, Kurth L. Peak Inhalation Exposure Metrics Used in Occupational Epidemiologic and Exposure Studies. Front Public Health 2021; 8:611693. [PMID: 33490023 PMCID: PMC7820770 DOI: 10.3389/fpubh.2020.611693] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2020] [Accepted: 12/07/2020] [Indexed: 12/24/2022] Open
Abstract
Peak exposures are of concern because they can potentially overwhelm normal defense mechanisms and induce adverse health effects. Metrics of peak exposure have been used in epidemiologic and exposure studies, but consensus is lacking on its definition. The relevant characteristics of peak exposure are dependent upon exposure patterns, biokinetics of exposure, and disease mechanisms. The objective of this review was to summarize the use of peak metrics in epidemiologic and exposure studies. A comprehensive search of Medline, Embase, Web of Science, and NIOSHTIC-2 databases was conducted using keywords related to peak exposures. The retrieved references were reviewed and selected for indexing if they included a peak metric and met additional criteria. Information on health outcomes and peak exposure metrics was extracted from each reference. A total of 1,215 epidemiologic or exposure references were identified, of which 182 were indexed and summarized. For the 72 epidemiologic studies, the health outcomes most frequently evaluated were: chronic respiratory effects, cancer and acute respiratory symptoms. Exposures were frequently assessed using task-based and full-shift time-integrated methods, qualitative methods, and real-time instruments. Peak exposure summary metrics included the presence or absence of a peak event, highest exposure intensity and frequency greater than a target. Peak metrics in the 110 exposure studies most frequently included highest exposure intensity, average short-duration intensity, and graphical presentation of the real-time data (plots). This review provides a framework for considering biologically relevant peak exposure metrics for epidemiologic and exposure studies to help inform risk assessment and exposure mitigation.
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Affiliation(s)
- M Abbas Virji
- Respiratory Health Division, National Institute for Occupational Safety and Health, Centers for Disease Control and Prevention, Morgantown, WV, United States
| | - Laura Kurth
- Respiratory Health Division, National Institute for Occupational Safety and Health, Centers for Disease Control and Prevention, Morgantown, WV, United States
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12
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Zhou H, Lin J, Shen Y, Deng F, Gao Y, Liu Y, Dong H, Zhang Y, Sun Q, Fang J, Tang S, Wang Y, Du Y, Cui L, Ruan S, Kong F, Liu Z, Li T. Personal black carbon exposure and its determinants among elderly adults in urban China. ENVIRONMENT INTERNATIONAL 2020; 138:105607. [PMID: 32142915 DOI: 10.1016/j.envint.2020.105607] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/28/2019] [Revised: 02/21/2020] [Accepted: 02/22/2020] [Indexed: 05/10/2023]
Abstract
Personal exposure to air pollution is affected by its concentration in the microenvironment and individual time-activity patterns. To investigate personal black carbon (BC) exposure levels and identify their potential determinants, we conducted a panel study among 67 elderly residents aged 60-69 years in Jinan, China. Personal BC exposure was measured using portable real-time monitors, while corresponding ambient BC concentrations and meteorological conditions were also collected from the local central site. Time-activity and household characteristics were recorded. A linear mixed-effects model was used to identify potential determinants of personal BC exposure. The daily average personal BC exposure concentration was 4.1 ± 2.0 μg/m3 (±standard deviation, SD), which was significantly lower than the ambient concentration (4.6 ± 2.5 μg/m3) (p < 0.001). Strong correlation (Spearman's r = 0.63, p < 0.001) was found between personal and ambient BC concentrations. The fixed-site monitoring ambient concentration cannot fully reflect the actual personal exposure concentration. Ambient BC concentration, ambient temperature, relative humidity, education level and air purifier use were significant determinants of personal BC exposure. Our findings highlight the need for detailed assessment of personal exposure on health risk assessment of BC and also help develop strategies for targeted risk reduction.
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Affiliation(s)
- Huichan Zhou
- College of Environmental Sciences and Engineering, Peking University, Beijing, China
| | - Jingjing Lin
- Shandong Provincial Eco-environmental Monitoring Center, Jinan, China
| | - Yu Shen
- National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China; School of Public Health, Xuzhou Medical University, Xuzhou, China
| | - Fuchang Deng
- National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China; College of Biotechnology, Southwest University, Chongqing, China
| | - Ying Gao
- National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Yuanyuan Liu
- National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Haoran Dong
- National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Yingjian Zhang
- Jinan Center for Disease Control and Prevention, Jinan, China
| | - Qinghua Sun
- National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Jianlong Fang
- National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Song Tang
- National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Yanwen Wang
- National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Yanjun Du
- National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Liangliang Cui
- Jinan Center for Disease Control and Prevention, Jinan, China
| | - Shiman Ruan
- Jinan Center for Disease Control and Prevention, Jinan, China
| | - Fanling Kong
- Shandong Center for Disease Control and Prevention, Jinan, China
| | - Zhaorong Liu
- College of Environmental Sciences and Engineering, Peking University, Beijing, China.
| | - Tiantian Li
- National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China.
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