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Tran H, Polka E, Buonocore JJ, Roy A, Trask B, Hull H, Arunachalam S. Air Quality and Health Impacts of Onshore Oil and Gas Flaring and Venting Activities Estimated Using Refined Satellite-Based Emissions. GEOHEALTH 2024; 8:e2023GH000938. [PMID: 38449816 PMCID: PMC10916426 DOI: 10.1029/2023gh000938] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/05/2023] [Revised: 01/28/2024] [Accepted: 01/31/2024] [Indexed: 03/08/2024]
Abstract
Emissions from flaring and venting (FV) in oil and gas (O&G) production are difficult to quantify due to their intermittent activities and lack of adequate monitoring and reporting. Given their potentially significant contribution to total emissions from the O&G sector in the United States, we estimate emissions from FV using Visible Infrared Imaging Radiometer Suite satellite observations and state/local reported data on flared gas volume. These refined estimates are higher than those reported in the National Emission Inventory: by up to 15 times for fine particulate matter (PM2.5), two times for sulfur dioxides, and 22% higher for nitrogen oxides (NOx). Annual average contributions of FV to ozone (O3), NO2, and PM2.5 in the conterminous U.S. (CONUS) are less than 0.15%, but significant contributions of up to 60% are found in O&G fields with FV. FV contributions are higher in winter than in summer months for O3 and PM2.5; an inverse behavior is found for NO2. Nitrate aerosol contributions to PM2.5 are highest in the Denver basin whereas in the Permian and Bakken basins, sulfate and elemental carbon aerosols are the major contributors. Over four simulated months in 2016 for the entire CONUS, FV contributes 210 additional instances of exceedances to the daily maximum 8-hr average O3 and has negligible contributions to exceedance of NO2 and PM2.5, given the current form of the national ambient air quality standards. FV emissions are found to cause over $7.4 billion in health damages, 710 premature deaths, and 73,000 asthma exacerbations among children annually.
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Affiliation(s)
- Huy Tran
- Institute for the EnvironmentThe University of North Carolina at Chapel HillChapel HillNCUSA
| | - Erin Polka
- Department of Environmental HealthBoston University School of Public HealthBostonMAUSA
| | - Jonathan J. Buonocore
- Department of Environmental HealthBoston University School of Public HealthBostonMAUSA
| | - Ananya Roy
- Environmental Defense FundWashingtonDCUSA
| | - Beth Trask
- Environmental Defense FundWashingtonDCUSA
| | | | - Saravanan Arunachalam
- Institute for the EnvironmentThe University of North Carolina at Chapel HillChapel HillNCUSA
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2
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Colonna KJ, Alahmad B, Choma EF, Albahar S, Al-Hemoud A, Kinney PL, Koutrakis P, Evans JS. Acute exposure to total and source-specific ambient fine particulate matter and risk of respiratory disease hospitalization in Kuwait. ENVIRONMENTAL RESEARCH 2023; 237:117070. [PMID: 37666316 DOI: 10.1016/j.envres.2023.117070] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/14/2023] [Revised: 08/31/2023] [Accepted: 09/01/2023] [Indexed: 09/06/2023]
Abstract
Many epidemiologic studies concerned with acute exposure to ambient PM2.5 have reported positive associations for respiratory disease hospitalization. However, few studies have investigated this relationship in Kuwait and extrapolating results from other regions may involve considerable uncertainty due to variations in concentration levels, particle sources and composition, and population characteristics. Local studies can provide evidence for strategies to reduce risks from episodic exposures to high levels of ambient PM2.5 and generating hypotheses for evaluating health risks from chronic exposures. Therefore, using speciated PM2.5 data from local samplers, we analyzed the impact of daily total and source-specific PM2.5 exposure on respiratory hospitalizations in Kuwait using a case-crossover design with conditional quasi-Poisson regression. Total and source-specific ambient PM2.5 were modeled using 0-5-day cumulative distributed lags. For total PM2.5, we observed a 0.16% (95% confidence interval [CI] = 0.05, 0.27%) increase in risk for respiratory hospitalization per 1 μg/m3 increase in concentration. Of the source factors assessed, dust demonstrated a statistically significant increase in risk (0.16%, 95% CI = 0.04, 0.29%), and the central estimate for regional PM2.5 was positive (0.11%) but not statistically significant (95% CI = -0.11, 0.33%). No effect was observed from traffic emissions and 'other' source factors. When hospitalizations were stratified by sex, nationality, and age, we found that female, Kuwaiti national, and adult groups had higher effect estimates. These results suggest that exposure to ambient PM2.5 is harmful in Kuwait and provide some evidence of differential toxicity and effect modification depending on the PM2.5 source and population affected.
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Affiliation(s)
- Kyle J Colonna
- Department of Environmental Health, Harvard University T.H. Chan School of Public Health, Boston, MA, USA.
| | - Barrak Alahmad
- Department of Environmental Health, Harvard University T.H. Chan School of Public Health, Boston, MA, USA; Dasman Diabetes Institute, Kuwait City, Kuwait
| | - Ernani F Choma
- Department of Environmental Health, Harvard University T.H. Chan School of Public Health, Boston, MA, USA
| | - Soad Albahar
- Department of Environmental Health, Boston University School of Public Health, Boston, MA, USA
| | - Ali Al-Hemoud
- Environment and Life Sciences Research Center, Kuwait Institute for Scientific Research, Kuwait City, Kuwait
| | - Patrick L Kinney
- Department of Environmental Health, Boston University School of Public Health, Boston, MA, USA
| | - Petros Koutrakis
- Department of Environmental Health, Harvard University T.H. Chan School of Public Health, Boston, MA, USA
| | - John S Evans
- Department of Environmental Health, Harvard University T.H. Chan School of Public Health, Boston, MA, USA
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3
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Han X, Cao M, Pan Z, Guo J, Huang D, Sun W, Mi J, Li P, Liu Y, Xue T, Guan T. Association between long-term exposure to PM 2.5 constituents and electrocardiographic abnormality: A nationwide longitudinal study in China. ENVIRONMENT INTERNATIONAL 2023; 178:108130. [PMID: 37572496 DOI: 10.1016/j.envint.2023.108130] [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: 03/05/2023] [Revised: 07/17/2023] [Accepted: 08/01/2023] [Indexed: 08/14/2023]
Abstract
BACKGROUND Electrocardiogram (ECG) abnormalities are known to have prognostic value for heart conditions, while evidence on the relationship between long-term exposure to PM2.5 constituents and electrocardiographic (ECG) abnormalities is limited. This study aimed to quantify the association between long-term exposure to PM2.5 constituents and changes in ECG diagnoses. METHODS We designed a longitudinal study among participants with repeated records of ECG examination based on the China National Stroke Screening Survey 2013-2018. Logistic regressions with multiple adjustment, estimated by the generalized estimating equation to incorporate repeated measurements, were used to assess the associations between the occurrence of any physician-diagnosed ECG abnormalities and long-term exposure to PM2.5 constituents. RESULTS We included 61,094 participants with 132,249 visits. All five constituents (sulfate, nitrate, ammonium, organic matter, and black carbon) were significantly associated with an increased risk of ECG abnormalities. The excess risk of ECG abnormalities per interquartile-range increase in exposure was the highest for sulfate (26%, 95% confidence interval [CI] 23-29%), followed by ammonium (22%, 19-26%), nitrate (21%, 17-24%), black carbon (16%, 13-10%) and organic matter (9%,6%-11%). We also found that atrial fibrillation patients might be susceptible to the adverse effects of PM2.5 constituents on ECG. CONCLUSION Differential associations between various constituents of PM2.5 and ECG abnormalities were found. The unequal toxicities for different chemical constituents of ambient particles on cardiovascular electrophysiological endpoints should be taken into consideration when considering the biological pathways linking PM2.5 and cardiovascular conditions.
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Affiliation(s)
- Xueyan Han
- School of Health Policy and Management, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730, China
| | - Man Cao
- School of Health Policy and Management, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730, China
| | - Zhaoyang Pan
- School of Health Policy and Management, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730, China
| | - Jian Guo
- Department of Cardiology, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730, China; State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730, China
| | - Dengmin Huang
- School of Health Policy and Management, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730, China
| | - Wei Sun
- School of Health Policy and Management, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730, China
| | - Jiarun Mi
- School of Health Policy and Management, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730, China
| | - Pengfei Li
- Institute of Reproductive and Child Health/ National Health Commission Key Laboratory of Reproductive Health and Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - Yuanli Liu
- School of Health Policy and Management, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730, China
| | - Tao Xue
- Institute of Reproductive and Child Health/ National Health Commission Key Laboratory of Reproductive Health and Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China.
| | - Tianjia Guan
- School of Health Policy and Management, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730, China.
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4
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Zhang X, Chen X, Yue Y, Wang S, Zhao B, Huang X, Li T, Sun Q, Wang J. Ecological Study on Global Health Effects due to Source-Specific Ambient Fine Particulate Matter Exposure. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2023; 57:1278-1291. [PMID: 36607898 PMCID: PMC9879273 DOI: 10.1021/acs.est.2c06752] [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: 09/20/2022] [Revised: 12/14/2022] [Accepted: 12/24/2022] [Indexed: 06/17/2023]
Abstract
Ambient air pollution of fine particulate matter with diameters less than 2.5 μm (PM2.5) is associated with millions of premature deaths per year, recognized as a leading global health concern. The dose-response relation between ambient PM2.5 exposure and mortality risk is the most fundamental information for assessments of the health effects of PM2.5. The existing dose-response relations were generally developed based on the assumption of equal contribution to toxicity from various sources. However, the sources of PM2.5 may significantly influence health effects. In this study, we conducted an ecological study to investigate the global long-term correlation between source-specific PM2.5 exposure and cause-specific mortality risk (SPECM) based on the regional aggregate data of the publically available official health databases from 528 regions worldwide with a total registered population of 3.2 billion. The results provided preliminary epidemiological evidence for differing chronic health effects across various sources. The relative mortality risks of lung cancer and circulatory diseases were closely correlated with the primary emissions from industrial and residential combustion sources. Chronic lower respiratory diseases were mostly associated with the mass concentration of particulate matter.
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Affiliation(s)
- Xiaole Zhang
- Institute
of Environmental Engineering (IfU), ETH
Zürich, ZürichCH-8093, Switzerland
- Laboratory
for Advanced Analytical Technologies, Empa, DübendorfCH-8600, Switzerland
- Institute
of Public Safety Research, Department of Engineering Physics, Tsinghua University, Beijing100084, China
| | - Xi Chen
- Institute
of Environmental Engineering (IfU), ETH
Zürich, ZürichCH-8093, Switzerland
| | - Yang Yue
- Institute
of Environmental Engineering (IfU), ETH
Zürich, ZürichCH-8093, Switzerland
- Laboratory
for Advanced Analytical Technologies, Empa, DübendorfCH-8600, Switzerland
| | - Shuxiao Wang
- State
Key Joint Laboratory of Environmental Simulation and Pollution Control,
School of Environment, Tsinghua University, Beijing100084, China
| | - Bin Zhao
- State
Key Joint Laboratory of Environmental Simulation and Pollution Control,
School of Environment, Tsinghua University, Beijing100084, China
| | - Xinmei Huang
- Institute
of Environmental Engineering (IfU), ETH
Zürich, ZürichCH-8093, Switzerland
| | - Tiantian Li
- China
CDC Key Laboratory of Environment and Population Health, National
Institute of Environmental Health, Chinese
Center for Disease Control and Prevention, Beijing100021, China
| | - Qinghua Sun
- China
CDC Key Laboratory of Environment and Population Health, National
Institute of Environmental Health, Chinese
Center for Disease Control and Prevention, Beijing100021, China
| | - Jing Wang
- Institute
of Environmental Engineering (IfU), ETH
Zürich, ZürichCH-8093, Switzerland
- Laboratory
for Advanced Analytical Technologies, Empa, DübendorfCH-8600, Switzerland
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Thind MPS, Tessum CW, Marshall JD. Environmental Health, Racial/Ethnic Health Disparity, and Climate Impacts of Inter-Regional Freight Transport in the United States. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2023; 57:884-895. [PMID: 36580637 PMCID: PMC9851153 DOI: 10.1021/acs.est.2c03646] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/01/2022] [Revised: 12/08/2022] [Accepted: 12/08/2022] [Indexed: 06/17/2023]
Abstract
We quantify and compare three environmental impacts from inter-regional freight transportation in the contiguous United States: total mortality attributable to PM2.5 air pollution, racial-ethnic disparities in PM2.5-attributable mortality, and CO2 emissions. We compare all major freight modes (truck, rail, barge, aircraft) and routes (∼30,000 routes). Our study is the first to comprehensively compare each route separately and the first to explore racial-ethnic exposure disparities by route and mode, nationally. Impacts (health, health disparity, climate) per tonne of freight are the largest for aircraft. Among nonaircraft modes, per tonne, rail has the largest health and health-disparity impacts and the lowest climate impacts, whereas truck transport has the lowest health impacts and greatest climate impacts─an important reminder that health and climate impacts are often but not always aligned. For aircraft and truck, average monetized damages per tonne are larger for climate impacts than those for PM2.5 air pollution; for rail and barge, the reverse holds. We find that average exposures from inter-regional truck and rail are the highest for White non-Hispanic people, those from barge are the highest for Black people, and those from aircraft are the highest for people who are mixed/other race. Level of exposure and disparity among racial-ethnic groups vary in urban versus rural areas.
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Affiliation(s)
- Maninder P. S. Thind
- Department
of Civil and Environmental Engineering, University of Washington, Seattle, Washington 98195, United States
| | - Christopher W. Tessum
- Department
of Civil and Environmental Engineering, University of Illinois at Urbana−Champaign, Urbana, Illinois 61801, United States
| | - Julian D. Marshall
- Department
of Civil and Environmental Engineering, University of Washington, Seattle, Washington 98195, United States
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6
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Zhou P, Hu J, Yu C, Bao J, Luo S, Shi Z, Yuan Y, Mo S, Yin Z, Zhang Y. Short-term exposure to fine particulate matter constituents and mortality: case-crossover evidence from 32 counties in China. SCIENCE CHINA. LIFE SCIENCES 2022; 65:2527-2538. [PMID: 35713841 DOI: 10.1007/s11427-021-2098-7] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/19/2021] [Accepted: 03/23/2022] [Indexed: 06/15/2023]
Abstract
A growing number of studies associated increased mortality with exposures to specific fine particulate (PM2.5) constituents, while great heterogeneity exists between locations. In China, evidence linking PM2.5 constituents and mortality was extensively sparse. This study primarily aimed to quantify short-term associations between PM2.5 constituents and non-accidental mortality among the Chinese population. We collected daily mortality records from 32 counties in China between January 1, 2011, and December 31, 2013. Daily concentrations of main PM2.5 constituents (organic carbon (OC), elemental carbon (EC), nitrate (NO3-), sulfate (SO42-), and ammonium (NH4+)) were estimated using the modified Community Multiscale Air Quality model. Time-stratified case-crossover design with conditional logistic regression models was adopted to estimate mortality risks associated with short-term exposures to PM2.5 mass and its constituents. Stratification analyses were done by sex, age, and season. A total of 116,959 non-accidental deaths were investigated. PM2.5 concentrations on the day of death were averaged at 75.7 µg m-3 (control day: 75.6 µg m-3), with an interquartile range (IQR) of 65.2 µg m-3. Per IQR rise in PM2.5, EC, OC, NO3-, SO42-, and NH4+ at lag-04 day was associated with an increase in non-accidental mortality of 2.4% (95% confidence interval, (1.0-3.7), 1.7% (0.8-2.7), 2.9% (1.6-4.3), 2.1% (0.4-3.9), 1.0% (0.2-1.9), and 1.6% (0.3-2.9), respectively. Both PM2.5 mass and its constituents were strongly associated with elevated cardiovascular mortality risks, but only PM2.5, EC, and OC were positively associated with respiratory mortality at lag-3 day. PM2.5 mass and its constituents associated effects on mortality varied among sex- and age-specific subpopulations. Differences in the seasonal pattern of associations exist among PM2.5 constituents, with stronger effects related to EC and NO3- in warm months but SO42- and NH4+ in cold months. Short-term exposures to PM2.5 compositions were positively associated with increased risks of mortality, particularly those constituents from combustion-related sources.
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Affiliation(s)
- Peixuan Zhou
- Department of Epidemiology and Biostatistics, School of Public Health, Wuhan University of Science and Technology, Wuhan, 430065, China
| | - Jianlin Hu
- Jiangsu Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control, Nanjing University of Information Science & Technology, Nanjing, 210044, China
| | - Chuanhua Yu
- Department of Epidemiology and Biostatistics, School of Public Health, Wuhan University, Wuhan, 430071, China
| | - Junzhe Bao
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, 450001, China
| | - Siqi Luo
- Department of Epidemiology and Biostatistics, School of Public Health, Wuhan University of Science and Technology, Wuhan, 430065, China
| | - Zhihao Shi
- Jiangsu Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control, Nanjing University of Information Science & Technology, Nanjing, 210044, China
| | - Yang Yuan
- Department of Epidemiology and Biostatistics, School of Public Health, Wuhan University of Science and Technology, Wuhan, 430065, China
| | - Shaocai Mo
- Department of Epidemiology and Biostatistics, School of Public Health, Wuhan University of Science and Technology, Wuhan, 430065, China
| | - Zhouxin Yin
- Department of Epidemiology and Biostatistics, School of Public Health, Wuhan University of Science and Technology, Wuhan, 430065, China
| | - Yunquan Zhang
- Department of Epidemiology and Biostatistics, School of Public Health, Wuhan University of Science and Technology, Wuhan, 430065, China.
- Hubei Province Key Laboratory of Occupational Hazard Identification and Control, Wuhan University of Science and Technology, Wuhan, 430065, China.
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7
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Li Y, Zheng C, An X, Hou Q. Acute effects of black carbon on mortality in nine megacities of China, 2008-2016: a time-stratified case-crossover study. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2022; 29:57873-57884. [PMID: 35357648 DOI: 10.1007/s11356-022-19899-0] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/21/2021] [Accepted: 03/21/2022] [Indexed: 06/14/2023]
Abstract
Black carbon (BC) may have more adverse effects on human health than other constituents of PM2.5. The daily mean concentrations of BC in China are much higher than those in developed countries and are estimated to account for more than a quarter of global anthropogenic BC emissions. However, reports on the health effects of BC in China have been limited. Thus, a time-stratified case-crossover study was conducted to evaluate the impacts of BC on daily mortality risk in nine Chinese megacities from 2008-2016. Our results show that for all-cause mortality, when compared to the interquartile range (IQR) of BC concentration increased, odds ratios (ORs) were in the range of 1.01-1.06 (95% CIs: 0.99-1.10). For cardiovascular mortality, ORs were in the range of 1.02-1.07 (95% CIs: 1.003-1.12), and for respiratory mortality, ORs were in the range of 1.01-1.15 (95% CIs: 1.00-1.18). The effects of BC in the nine cities were robust after adjusting for PM2.5, or even became more prominent. Furthermore, BC had stronger effects in spring and winter in northern cities, whereas in mid-latitude cities, BC had stronger effects in the warm seasons. In southern cities, BC had stronger effects in the cool and dry seasons. Our findings support an association between residential exposure to BC and mortality and thus provide further evidence that BC negatively impacts human health and is helpful for decision-making.
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Affiliation(s)
- Yi Li
- State Key Laboratory of Severe Weather & Key Laboratory of Atmospheric Chemistry of CMA, Chinese Academy of Meteorological Sciences, Beijing, 100081, China
| | - Canjun Zheng
- Chinese Center for Disease Control and Prevention, Beijing, China
| | - Xingqin An
- State Key Laboratory of Severe Weather & Key Laboratory of Atmospheric Chemistry of CMA, Chinese Academy of Meteorological Sciences, Beijing, 100081, China
| | - Qing Hou
- State Key Laboratory of Severe Weather & Key Laboratory of Atmospheric Chemistry of CMA, Chinese Academy of Meteorological Sciences, Beijing, 100081, China.
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Dos Santos NV, Vieira CLZ, Saldiva PHN, De André CDS, Mazzilli BP, de Fátima Andrade M, Saueia CH, Saiki M, Veras MM, Koutrakis P. Accumulation of trace element content in the lungs of Sao Paulo city residents and its correlation to lifetime exposure to air pollution. Sci Rep 2022; 12:11083. [PMID: 35773451 PMCID: PMC9247064 DOI: 10.1038/s41598-022-15048-2] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2021] [Accepted: 03/11/2022] [Indexed: 12/04/2022] Open
Abstract
Heavy metals are natural and essential elements of the environment and living beings, produced from natural (e.g. volcanic activity and cosmic ray-induced spallation) and anthropogenic processes (e.g. industrial and fossil fuel combustion). High-concentrations of heavy metals and radionuclides are also originated from anthropogenic activities in urban and industrial areas. In this preliminary study, we analyzed the levels of heavy metals and Polonium-210 (210Po) in lung tissues in autopsies from residents of the city of Sao Paulo, SP, Brazil. In order to identify the link among sources of the heavy metals in lungs, factor analysis was performed. Of the first four factors, which explain 66% of the total variability, three were associated with vehicular sources. The fitting of a regression model with 210Po as the response variable and with the four factors as explanatory variables, controlling for age, sex and tobacco, showed a significant association between the concentration of polonium and the first factor that is generated by catalysts and brakes (coefficient = 0.90, standard error = 0.33, p = 0.016). Our findings suggest an association between traffic-related trace metals and 210Po in lung autopsies.
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Affiliation(s)
- Nathália Villa Dos Santos
- Laboratory of Environmental and Experimental Pathology LIM05, Department of Pathology, University of Sao Paulo School of Medicine, São Paulo, SP, Brazil. .,Department of Environmental Health School of Public Health, University of São Paulo, Brazil, Av. Dr. Arnaldo, 715, São Paulo, Brazil.
| | | | - Paulo Hilario Nascimento Saldiva
- Laboratory of Environmental and Experimental Pathology LIM05, Department of Pathology, University of Sao Paulo School of Medicine, São Paulo, SP, Brazil
| | | | | | - Maria de Fátima Andrade
- Atmospheric Sciences Department, Institute of Astronomy, Geophysics and Atmospheric Sciences, University of São Paulo, São Paulo, Brazil
| | | | - Mitiko Saiki
- Nuclear and Energy Research Institute, IPEN-CNEN, São Paulo, SP, Brazil
| | - Mariana Matera Veras
- Laboratory of Environmental and Experimental Pathology LIM05, Department of Pathology, University of Sao Paulo School of Medicine, São Paulo, SP, Brazil
| | - Petros Koutrakis
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA
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9
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Song X, Hu Y, Ma Y, Jiang L, Wang X, Shi A, Zhao J, Liu Y, Liu Y, Tang J, Li X, Zhang X, Guo Y, Wang S. Is short-term and long-term exposure to black carbon associated with cardiovascular and respiratory diseases? A systematic review and meta-analysis based on evidence reliability. BMJ Open 2022; 12:e049516. [PMID: 35504636 PMCID: PMC9066484 DOI: 10.1136/bmjopen-2021-049516] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/01/2023] Open
Abstract
OBJECTIVE Adverse health effects of fine particles (particulate matter2.5) have been well documented by a series of studies. However, evidences on the impacts of black carbon (BC) or elemental carbon (EC) on health are limited. The objectives were (1) to explored the effects of BC and EC on cardiovascular and respiratory morbidity and mortality, and (2) to verified the reliability of the meta-analysis by drawing p value plots. DESIGN The systematic review and meta-analysis using adapted Grading of Recommendations Assessment, Development and Evaluation (GRADE) approach and p value plots approach. DATA SOURCES PubMed, Embase and Web of Science were searched from inception to 19 July 2021. ELIGIBILITY CRITERIA FOR SELECTING STUDIES Time series, case cross-over and cohort studies that evaluated the associations between BC/EC on cardiovascular or respiratory morbidity or mortality were included. DATA EXTRACTION AND SYNTHESIS Two reviewers independently selected studies, extracted data and assessed risk of bias. Outcomes were analysed via a random effects model and reported as relative risk (RR) with 95% CI. The certainty of evidences was assessed by adapted GRADE. The reliabilities of meta-analyses were analysed by p value plots. RESULTS Seventy studies met our inclusion criteria. (1) Short-term exposure to BC/EC was associated with 1.6% (95% CI 0.4% to 2.8%) increase in cardiovascular diseases per 1 µg/m3 in the elderly; (2) Long-term exposure to BC/EC was associated with 6.8% (95% CI 0.4% to 13.5%) increase in cardiovascular diseases and (3) The p value plot indicated that the association between BC/EC and respiratory diseases was consistent with randomness. CONCLUSIONS Both short-term and long-term exposures to BC/EC were related with cardiovascular diseases. However, the impact of BC/EC on respiratory diseases did not present consistent evidence and further investigations are required. PROSPERO REGISTRATION NUMBER CRD42020186244.
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Affiliation(s)
- Xuping Song
- School of Public Health, Lanzhou University, Lanzhou, Gansu, China
| | - Yue Hu
- School of Public Health, Lanzhou University, Lanzhou, Gansu, China
| | - Yan Ma
- School of Public Health, Lanzhou University, Lanzhou, Gansu, China
| | - Liangzhen Jiang
- School of Public Health, Lanzhou University, Lanzhou, Gansu, China
| | - Xinyi Wang
- Second Clinical College, Lanzhou University, Lanzhou, Gansu, China
| | - Anchen Shi
- Department of General Surgery, Xi'an Jiaotong University Medical College First Affiliated Hospital, Xi'an, Shaanxi, China
| | - Junxian Zhao
- School of Public Health, Lanzhou University, Lanzhou, Gansu, China
| | - Yunxu Liu
- School of Public Health, Lanzhou University, Lanzhou, Gansu, China
| | - Yafei Liu
- School of Public Health, Lanzhou University, Lanzhou, Gansu, China
| | - Jing Tang
- School of Public Health, Lanzhou University, Lanzhou, Gansu, China
| | - Xiayang Li
- School of Public Health, Lanzhou University, Lanzhou, Gansu, China
| | - Xiaoling Zhang
- College of Atmospheric Sciences, Chengdu University of Information Technology, Chengdu, Sichuan, China
| | - Yong Guo
- Department of Civil Affairs in Guizhou Province, Guizhou Province People's Government, Guiyang, Guizhou, China
| | - Shigong Wang
- College of Atmospheric Sciences, Chengdu University of Information Technology, Chengdu, Sichuan, China
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10
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Chen C, Chan A, Dominici F, Peng RD, Sabath B, Di Q, Schwartz J, Bell ML. Do temporal trends of associations between short-term exposure to fine particulate matter (PM 2.5) and risk of hospitalizations differ by sub-populations and urbanicity-a study of 968 U.S. counties and the Medicare population. ENVIRONMENTAL RESEARCH 2022; 206:112271. [PMID: 34710436 PMCID: PMC8810624 DOI: 10.1016/j.envres.2021.112271] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/05/2021] [Revised: 10/19/2021] [Accepted: 10/21/2021] [Indexed: 05/29/2023]
Abstract
While associations between short-term exposure to fine particulate matter (PM2.5) and risk of hospitalization are well documented and evidence suggests that such associations change over time, it is unclear whether these temporal changes exist in understudied less-urban areas or differ by sub-population. We analyzed daily time-series data of 968 continental U.S. counties for 2000-2016, with cause-specific hospitalization from Medicare claims and population-weighted PM2.5 concentrations originally estimated at 1km × 1 km from a hybrid model. Circulatory and respiratory hospitalizations were categorized based on primary diagnosis codes at discharge. Using modified Bayesian hierarchical modelling, we evaluated the temporal trend in association between PM2.5 and hospitalizations and whether disparities in this trend exist across individual-level characteristics (e.g., sex, age, race, and Medicaid eligibility as a proxy for socio-economic status) and urbanicity. Urbanicity was categorized into three levels by county-specific percentage of urban population based on urban rural delineation from the U.S. Census. In this cohort with understudied less-urban areas without regulatory monitors, we still found positive association between circulatory and respiratory hospitalization and short-term exposure to PM2.5, with higher effect estimates towards the end of study period. Consistent with current literature, we identified significant disparity in associations by race, socioeconomic status and urbanicity. We found that the percentage change in circulatory hospitalization rate per 10 μg/m3 increase in PM2.5 was higher in the 2008-2016 time period compared to the 2000-2007 period by 0.33% (95% posterior credible interval 0.22, 0.44%), 0.52% (0.33, 0.69%), and 0.67% (0.53, 0.83%) for low, medium and high tertiles of urban areas, respectively. We also observed significant differences in temporal trends of associations across socioeconomic status, sex, and age, indicating a possible widening in disparity of PM2.5-related health burden. This study raises the importance of considering environmental justice issues in PM2.5-related health impacts with respect to how associations may change over time.
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Affiliation(s)
- Chen Chen
- School of the Environment, Yale University, New Haven, USA.
| | - Alisha Chan
- School of Engineering and Applied Science, Yale University, New Haven, USA
| | | | - Roger D Peng
- Johns Hopkins Bloomberg School of Public Health, Baltimore, USA
| | - Ben Sabath
- Harvard T.H. Chan School of Public Health, Boston, USA
| | - Qian Di
- School of Medicine, Tsinghua University, Beijing, China
| | - Joel Schwartz
- Harvard T.H. Chan School of Public Health, Boston, USA
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11
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Saharan US, Kumar R, Tripathy P, Sateesh M, Garg J, Sharma SK, Mandal TK. Drivers of air pollution variability during second wave of COVID-19 in Delhi, India. URBAN CLIMATE 2022; 41:101059. [PMID: 34934612 PMCID: PMC8674516 DOI: 10.1016/j.uclim.2021.101059] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/14/2021] [Revised: 11/10/2021] [Accepted: 12/12/2021] [Indexed: 05/10/2023]
Abstract
To curb the 2nd wave of COVID-19 disease in April-May 2021, a night curfew followed by full lockdown was imposed over the National Capital Territory, Delhi. We have analyzed the observed variation in pollutants and meteorology, and role of local and transboundary emission sources during night-curfew and lockdown, as compared to pre-lockdown period and identical periods of 2020 lockdown as well as of 2018 and 2019. In 2021, concentration of pollutants (except O₃, SO₂, and toluene) declined by 4-16% during night-curfew as compared to the pre-lockdown period but these changes are not statistically significant. During lockdown in 2021, various pollutants decreased by 1-28% as compared to the night-curfew (except O₃ and PM₂.₅), but increased by 31-129% compared to the identical period of 2020 lockdown except O₃. Advection of pollutants from the region of moderate lockdown restrictions and an abrupt increase in crop-residue burning activity (120-587%) over Haryana and Punjab increased the air pollution levels over NCT during the lockdown period of 2021 as compared to 2020 in addition to a significant contribution of long-range transport. The increase in PM₂.₅ during the lockdown period of 2021 compared to 2020 might led to 5-29 additional premature mortalities.
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Affiliation(s)
- Ummed Singh Saharan
- CSIR-National Physical Laboratory, Dr. K. S. Krishnan Road, New Delhi 110012, India
- Academy of Scientific & Innovative Research (AcSIR), Ghaziabad 201 002, Uttar Pradesh, India
| | - Rajesh Kumar
- National Center for Atmospheric Research, Boulder, CO, USA
| | - Pratyush Tripathy
- Geospatial Lab, Indian Institute for Human Settlements, Bengaluru 560 080, India
| | - M Sateesh
- National Centre for Medium-Range Weather Forecasting, Noida 201309, Uttar Pradesh, India
| | - Jyoti Garg
- Dr. Ram Manohar Lohia Hospital, Connaught Place, New Delhi, Delhi 110001, India
- Atal Bihari Vajpayee Institute of Medical Sciences (ABVIMAS), New Delhi, Delhi 110001, India
| | - Sudhir Kumar Sharma
- CSIR-National Physical Laboratory, Dr. K. S. Krishnan Road, New Delhi 110012, India
- Academy of Scientific & Innovative Research (AcSIR), Ghaziabad 201 002, Uttar Pradesh, India
| | - Tuhin Kumar Mandal
- CSIR-National Physical Laboratory, Dr. K. S. Krishnan Road, New Delhi 110012, India
- Academy of Scientific & Innovative Research (AcSIR), Ghaziabad 201 002, Uttar Pradesh, India
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12
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Arter CA, Buonocore JJ, Moniruzzaman C, Yang D, Huang J, Arunachalam S. Air quality and health-related impacts of traditional and alternate jet fuels from airport aircraft operations in the U.S. ENVIRONMENT INTERNATIONAL 2022; 158:106958. [PMID: 34710732 DOI: 10.1016/j.envint.2021.106958] [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: 07/13/2021] [Revised: 10/21/2021] [Accepted: 10/22/2021] [Indexed: 06/13/2023]
Abstract
Aviation emissions from landing and takeoff operations (LTO) can degrade local and regional air quality leading to adverse health outcomes in populations near airports and downwind. In this study we aim to quantify the air quality and health-related impacts from commercial LTO emissions in the continental U.S. for two recent years' inventories, 2011 and 2016. We quantify the LTO-attributable PM2.5, O3, and NO2 concentrations and health outcomes for mortality and multiple morbidity health endpoints. We also quantify the impacts from two scenarios representing a nation-wide implementation of 5% or 50% blends of sustainable alternative jet fuels. We estimate 80 (68-93) and 88 (75-100) PM2.5-attributable and 610 (310-920) and 1,100 (570-1,700) NO2-attributable premature mortalities in 2011 and 2016, respectively. We estimate a net decrease of 28 (14-56) and 54 (27-110) in O3-attributable premature mortalities across the U.S. in 2011 and 2016, respectively due to the large O3 titration effects near the airports. We also find that the asthma exacerbations due to NO2 exposures from LTO emissions increase from 100,000 (2,500-200,000) in 2011 to 170,000 (4,400-340,000) in 2016. Implementing a 5% or 50% blend of sustainable alternative jet fuel in 2016 results in a 1% or 18% reduction, respectively in PM2.5-attributable premature mortalities. Monetizing the value of avoided total premature mortalities, we find that a 50%-blended sustainable alternative jet fuel results in a 19% decrease in PM2.5 damages per ton of fuel burned and a 2% decrease in total damages per ton of fuel burned as compared to damages from traditional jet fuel. We also quantify health impacts by state and find California to be the most impacted by LTO emissions. We find that LTO-attributable PM2.5 and NO2 premature mortalities increase by 10% and 80%, respectively from 2011 to 2016 and that NO2-attributable premature mortalities are responsible for 91% of total LTO-attributable premature mortalities in both 2011 and 2016. And since we find LTO-attributable NO2 to be unaffected by the implementation of sustainable alternative jet fuels, additional approaches focused on NOX reductions in the combustor are needed to mitigate the air quality-related health impacts from LTO emissions.
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Affiliation(s)
- Calvin A Arter
- Institute for the Environment, The University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | - Jonathan J Buonocore
- Center for Climate, Health and the Global Environment, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA
| | - Chowdhury Moniruzzaman
- Institute for the Environment, The University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | - Dongmei Yang
- Institute for the Environment, The University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | - Jiaoyan Huang
- Institute for the Environment, The University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | - Saravanan Arunachalam
- Institute for the Environment, The University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA.
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13
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Zhang Y, Liu L, Zhang L, Yu C, Wang X, Shi Z, Hu J, Zhang Y. Assessing short-term impacts of PM 2.5 constituents on cardiorespiratory hospitalizations: Multi-city evidence from China. Int J Hyg Environ Health 2021; 240:113912. [PMID: 34968974 DOI: 10.1016/j.ijheh.2021.113912] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2021] [Revised: 11/30/2021] [Accepted: 12/21/2021] [Indexed: 12/19/2022]
Abstract
Apart from concentrations of particulate mass, PM2.5-associated effects on health may largely depend on its chemical components. However, little is known regarding the underlying effects of specific PM2.5 constituents. The study included nearly 1 million hospital admissions from five Chinese cities during 2015-2017. Based on the modified Community Multiscale Air Quality model, our study simulated daily concentrations of PM2.5 and five main components. We used a time-stratified case-crossover design with conditional logistic regression models to estimate short-term effects of PM2.5 constituents on cause-specific hospital admissions. Per interquartile range increase in exposure to PM2.5, elemental carbon, organic carbon, nitrate, sulfate and ammonium at lag 04-day was related to an excess risk (ER%) for non-accidental admissions of 1.6% [95% confidence interval: 1.1-2.0], 1.9% [1.3-2.4], 1.0% [0.5-1.6], 1.2% [0.4-2.0], 1.2% [0.9-1.5] and 1.4% [0.9-1.9], respectively. Great heterogeneities of constituents-admission associations existed in diverse causes and constituents. This study provided multi-center high-quality evidence that hospital admissions, particularly those for ischemic heart disease (ER% ranging from 2.3 to 5.4% at lag 04-day) and pneumonia (1.9-5.1% at lag 4-day), could be triggered by short-term exposures to ambient PM2.5 constituents. Relatively stronger constituents-admission associations were found among females for respiratory causes and the elderly for cardiovascular causes.
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Affiliation(s)
- Yuanyuan Zhang
- Department of Epidemiology and Biostatistics, School of Public Health, Wuhan University of Science and Technology, Wuhan, 430065, China
| | - Linjiong Liu
- Department of Epidemiology and Biostatistics, School of Public Health, Wuhan University of Science and Technology, Wuhan, 430065, China
| | - Liansheng Zhang
- Department of Epidemiology and Biostatistics, School of Public Health, Wuhan University of Science and Technology, Wuhan, 430065, China
| | - Chuanhua Yu
- Department of Preventive Medicine, School of Public Health, Wuhan University, Wuhan, 430071, China; Institute of Global Health, Wuhan University, Wuhan, 430071, China
| | - Xuyan Wang
- Department of Preventive Medicine, School of Public Health, Wuhan University, Wuhan, 430071, China
| | - Zhihao Shi
- Jiangsu Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control, Nanjing University of Information Science & Technology, Nanjing, 210044, China
| | - Jianlin Hu
- Jiangsu Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control, Nanjing University of Information Science & Technology, Nanjing, 210044, China.
| | - Yunquan Zhang
- Department of Epidemiology and Biostatistics, School of Public Health, Wuhan University of Science and Technology, Wuhan, 430065, China; Hubei Province Key Laboratory of Occupational Hazard Identification and Control, Wuhan University of Science and Technology, Wuhan, 430065, China.
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14
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Singh BP, Kumar P. Spatio-temporal variation in fine particulate matter and effect on air quality during the COVID-19 in New Delhi, India. URBAN CLIMATE 2021; 40:101013. [PMID: 34722140 PMCID: PMC8549199 DOI: 10.1016/j.uclim.2021.101013] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/06/2020] [Revised: 10/05/2021] [Accepted: 10/23/2021] [Indexed: 05/21/2023]
Abstract
Novel Coronavirus disease has affected almost all the countries; which leads to the pandemic, impacting adversely on environment. The impact on environment during pre-and during lockdowns needs an attention to correlate the pollutants from industrial emissions and other factors. Therefore, the current study demonstrates the changes in fine particulate matter PM2.5, PM10 and effect on air quality during lockdown. The highest reduction was observed in lockdown I (25 March - 14 April) as compared to others lockdowns (between 15 April and 31st May 2020) due to the complete shutdown of industrial, transport, and construction activities. A significant reduction in PM2.5 and PM10 from 114.27 μg/m3 and 194.48 μg/m3 for pre-lockdown period to 41.41 μg/m3 and 86.81 μg/m3 for lockdown I was observed. The levels of air quality index fall under satisfactory category for lockdown I whereas satisfactory to moderate category for other lockdowns. The present study revealed a strong correlation between PM2.5 and PM10 levels during the pre-lockdown period (0.71) and through lockdown IV (0.76), which indicate that change in the PM10 level influences the PM2.5 level greatly. The findings of the present study could be scaled up nationwide and might be useful in formulating air pollution reduction policies in the future.
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Affiliation(s)
| | - Pramod Kumar
- Department of Chemistry, University of Delhi, New Delhi, India
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15
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Rappazzo KM, Baxter L, Sacks JD, Alman BL, Peterson GCL, Hubbell B, Neas L. Exploration of PM mass, source, and component-related factors that might explain heterogeneity in daily PM 2.5-mortality associations across the United States. ATMOSPHERIC ENVIRONMENT (OXFORD, ENGLAND : 1994) 2021; 262:118650. [PMID: 35572717 PMCID: PMC9106319 DOI: 10.1016/j.atmosenv.2021.118650] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
Multi-city epidemiologic studies examining short-term (daily) differences in fine particulate matter (PM2.5) provide evidence of substantial spatial heterogeneity in city-specific mortality risk estimates across the United States. Because PM2.5 is a mixture of particles, both directly emitted from sources or formed through atmospheric reactions, some of this heterogeneity may be due to regional variations in PM2.5 toxicity. Using inverse variance weighted linear regression, we examined change in percent change in mortality in association with 24 "exposure" determinants representing three basic groupings based on potential explanations for differences in PM toxicity - size, source, and composition. Percent changes in mortality for the PM2.5-mortality association for 313 core-based statistical areas and their metropolitan divisions over 1999-2005 were used as the outcome. Several determinants were identified as potential contributors to heterogeneity: all mass fraction determinants, vehicle miles traveled (VMT) for diesel total, VMT gas per capita, PM2.5 ammonium, PM2.5 nitrate, and PM2.5 sulfate. In multivariable models, only daily correlation of PM2.5 with PM10 and long-term average PM2.5 mass concentration were retained, explaining approximately 10% of total variability. The results of this analysis contribute to the growing body of literature specifically focusing on assessing the underlying basis of the observed spatial heterogeneity in PM2.5-mortality effect estimates, continuing to demonstrate that this heterogeneity is multifactorial and not attributable to a single aspect of PM.
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Affiliation(s)
- Kristen M. Rappazzo
- U.S. Environmental Protection Agency, Office of Research and Development, Research Triangle Park, NC
| | - Lisa Baxter
- U.S. Environmental Protection Agency, Office of Research and Development, Research Triangle Park, NC
| | - Jason D. Sacks
- U.S. Environmental Protection Agency, Office of Research and Development, Research Triangle Park, NC
| | - Breanna L Alman
- U.S. Environmental Protection Agency, Office of Research and Development, Research Triangle Park, NC
- work performed at EPA, present affiliation Centers for Disease Control, agency for Toxic Substances and Disease Registry, Atlanta, GA
| | - Geoffrey Colin L Peterson
- U.S. Environmental Protection Agency, Office of Research and Development, Research Triangle Park, NC
| | - Bryan Hubbell
- U.S. Environmental Protection Agency, Office of Research and Development, Research Triangle Park, NC
| | - Lucas Neas
- U.S. Environmental Protection Agency, Office of Research and Development, Research Triangle Park, NC
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16
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Chen C, Warrington JA, Dominici F, Peng RD, Esty DC, Bobb JF, Bell ML. Temporal variation in association between short-term exposure to fine particulate matter and hospitalisations in older adults in the USA: a long-term time-series analysis of the US Medicare dataset. Lancet Planet Health 2021; 5:e534-e541. [PMID: 34390671 DOI: 10.1016/s2542-5196(21)00168-6] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2020] [Revised: 05/19/2021] [Accepted: 06/02/2021] [Indexed: 05/19/2023]
Abstract
BACKGROUND Short-term exposure to fine particulate matter (PM2·5) is associated with increased risk of hospital admissions and mortality, and health risks differ by the chemical composition of PM2·5. Policies to control PM2·5 could change its chemical composition and total mass concentration, leading to change in the subsequent health impact. However, there is little ence on whether associations between PM2·5 and health exhibit temporal variation. We investigated whether risks of hospitalisations from short-term exposure to PM2·5 varied over time in the USA. METHODS We did a time-series analysis using a national dataset comprising daily circulatory and respiratory hospitalisation rates of Medicare beneficiaries (age ≥65 years) and PM2·5 in 173 US counties from 1999 to 2016. We fitted modified quasi-Poisson models to estimate temporal trends of associations within a county, and pooled county-level estimates using Bayesian hierarchical modelling to generate an overall estimate. FINDINGS The study included 10 559 654 circulatory and 3 027 281 respiratory hospitalisations. We identified changes in the national average association between previous-day PM2·5 and respiratory hospitalisation over time, with a U-shape that is robust under stratification, linear, and non-linear models. The change in risk of respiratory hospitalisation per 10 μg/m3 increase in previous-day PM2·5 decreased from 0·75% (95% posterior credible interval 0·05 to 1·46) in 1999 to -0·28% (-0·79 to 0·23) in 2008, and then increased to 1·44% (0·00 to 2·91) in 2016. No statistically significant temporal change was observed for associations between same-day PM2·5 and circulatory hospitalisation. INTERPRETATION Hospitalisation risk from PM2·5 changes over time and has increased over the past 7 years in study, especially in northeastern USA. The temporal trend differs by cause of hospitalisation. This study emphasises the necessity of evaluating temporal heterogeneity in health impacts of PM2·5 and suggests caution in applying association estimates to a different time period. FUNDING US Environmental Protection Agency and Yale Institute for Biospheric Studies.
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Affiliation(s)
- Chen Chen
- School of the Environment, Yale University, New Haven, CT, USA.
| | - Jason A Warrington
- School of the Environment, Yale University, New Haven, CT, USA; School of Law, New York University, New York, USA
| | | | - Roger D Peng
- Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Daniel C Esty
- School of the Environment, Yale University, New Haven, CT, USA; Yale Law School, Yale University, New Haven, CT, USA
| | - Jennifer F Bobb
- Biostatistics Unit, Kaiser Permanente Washington Health Research Institute, Seattle, WA, USA
| | - Michelle L Bell
- School of the Environment, Yale University, New Haven, CT, USA
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17
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Tsou MCM, Lung SCC, Shen YS, Liu CH, Hsieh YH, Chen N, Hwang JS. A community-based study on associations between PM 2.5 and PM 1 exposure and heart rate variability using wearable low-cost sensing devices. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2021; 277:116761. [PMID: 33640827 DOI: 10.1016/j.envpol.2021.116761] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/19/2020] [Revised: 02/14/2021] [Accepted: 02/15/2021] [Indexed: 06/12/2023]
Abstract
Few studies have investigated the effect of personal PM2.5 and PM1 exposures on heart rate variability (HRV) for a community-based population, especially in Asia. This study evaluates the effects of personal PM2.5 and PM1 exposure on HRV during two seasons for 35 healthy adults living in an urban community in Taiwan. The low-cost sensing (LCS) devices were used to monitor the PM levels and HRV, respectively, for two consecutive days. The mean PM2.5 and PM1 concentrations were 13.7 ± 11.4 and 12.7 ± 10.5 μg/m3 (mean ± standard deviation), respectively. Incense burning was the source that contributed most to the PM2.5 and PM1 concentrations, around 9.2 μg/m3, while environmental tobacco smoke exposure had the greatest impacts on HRV indices, being associated with the highest decrease of 20.2% for high-frequency power (HF). The results indicate that an increase in PM2.5 concentrations of one interquartile range (8.7 μg/m3) was associated with a change of -1.92% in HF and 1.60% in ratio of LF to HF power (LF/HF). Impacts on HRV for PM1 were similar to those for PM2.5. An increase in PM1 concentrations of one interquartile range (8.7 μg/m3) was associated with a change of -0.645% in SDNN, -1.82% in HF and 1.54% in LF/HF. Stronger immediate and lag effects of PM2.5 exposure on HRV were observed in overweight/obese subjects (body mass index (BMI) ≥24 kg/m2) compared to the normal-weight group (BMI <24 kg/m2). These results indicate that even low-level PM concentrations can still cause changes in HRV, especially for the overweight/obese population.
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Affiliation(s)
| | - Shih-Chun Candice Lung
- Research Center for Environmental Changes, Academia Sinica, Taipei, Taiwan; Department of Atmospheric Sciences, National Taiwan University, Taipei, Taiwan; Institute of Environmental and Occupational Health Sciences, National Taiwan University, Taipei, Taiwan.
| | - Yu-Sheng Shen
- Research Center for Environmental Changes, Academia Sinica, Taipei, Taiwan
| | - Chun-Hu Liu
- Research Center for Environmental Changes, Academia Sinica, Taipei, Taiwan
| | - Yu-Hui Hsieh
- Research Center for Environmental Changes, Academia Sinica, Taipei, Taiwan
| | - Nathan Chen
- Research Center for Environmental Changes, Academia Sinica, Taipei, Taiwan
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18
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Campbell SJ, Wolfer K, Utinger B, Westwood J, Zhang ZH, Bukowiecki N, Steimer SS, Vu TV, Xu J, Straw N, Thomson S, Elzein A, Sun Y, Liu D, Li L, Fu P, Lewis AC, Harrison RM, Bloss WJ, Loh M, Miller MR, Shi Z, Kalberer M. Atmospheric conditions and composition that influence PM 2.5 oxidative potential in Beijing, China. ATMOSPHERIC CHEMISTRY AND PHYSICS 2021; 21:5549-5573. [PMID: 34462630 PMCID: PMC7611584 DOI: 10.5194/acp-21-5549-2021] [Citation(s) in RCA: 23] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/12/2023]
Abstract
Epidemiological studies have consistently linked exposure to PM2.5 with adverse health effects. The oxidative potential (OP) of aerosol particles has been widely suggested as a measure of their potential toxicity. Several acellular chemical assays are now readily employed to measure OP; however, uncertainty remains regarding the atmospheric conditions and specific chemical components of PM2.5 that drive OP. A limited number of studies have simultaneously utilised multiple OP assays with a wide range of concurrent measurements and investigated the seasonality of PM2.5 OP. In this work, filter samples were collected in winter 2016 and summer 2017 during the atmospheric pollution and human health in a Chinese megacity campaign (APHH-Beijing), and PM2.5 OP was analysed using four acellular methods: ascorbic acid (AA), dithiothreitol (DTT), 2,7-dichlorofluorescin/hydrogen peroxidase (DCFH) and electron paramagnetic resonance spectroscopy (EPR). Each assay reflects different oxidising properties of PM2.5, including particle-bound reactive oxygen species (DCFH), superoxide radical production (EPR) and catalytic redox chemistry (DTT/AA), and a combination of these four assays provided a detailed overall picture of the oxidising properties of PM2.5 at a central site in Beijing. Positive correlations of OP (normalised per volume of air) of all four assays with overall PM2.5 mass were observed, with stronger correlations in winter compared to summer. In contrast, when OP assay values were normalised for particle mass, days with higher PM2.5 mass concentrations (μgm-3) were found to have lower mass-normalised OP values as measured by AA and DTT. This finding supports that total PM2.5 mass concentrations alone may not always be the best indicator for particle toxicity. Univariate analysis of OP values and an extensive range of additional measurements, 107 in total, including PM2.5 composition, gas-phase composition and meteorological data, provided detailed insight into the chemical components and atmospheric processes that determine PM2.5 OP variability. Multivariate statistical analyses highlighted associations of OP assay responses with varying chemical components in PM2.5 for both mass- and volume-normalised data. AA and DTT assays were well predicted by a small set of measurements in multiple linear regression (MLR) models and indicated fossil fuel combustion, vehicle emissions and biogenic secondary organic aerosol (SOA) as influential particle sources in the assay response. Mass MLR models of OP associated with compositional source profiles predicted OP almost as well as volume MLR models, illustrating the influence of mass composition on both particle-level OP and total volume OP. Univariate and multivariate analysis showed that different assays cover different chemical spaces, and through comparison of mass- and volume-normalised data we demonstrate that mass-normalised OP provides a more nuanced picture of compositional drivers and sources of OP compared to volume-normalised analysis. This study constitutes one of the most extensive and comprehensive composition datasets currently available and provides a unique opportunity to explore chemical variations in PM2.5 and how they affect both PM2.5 OP and the concentrations of particle-bound reactive oxygen species.
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Affiliation(s)
- Steven J. Campbell
- Department of Environmental Sciences, University of Basel, Basel, Switzerland
- Department of Chemistry, University of Cambridge, Cambridge, UK
| | - Kate Wolfer
- Department of Environmental Sciences, University of Basel, Basel, Switzerland
| | - Battist Utinger
- Department of Environmental Sciences, University of Basel, Basel, Switzerland
| | - Joe Westwood
- Department of Chemistry, University of Cambridge, Cambridge, UK
| | - Zhi-Hui Zhang
- Department of Environmental Sciences, University of Basel, Basel, Switzerland
- Department of Chemistry, University of Cambridge, Cambridge, UK
| | - Nicolas Bukowiecki
- Department of Environmental Sciences, University of Basel, Basel, Switzerland
| | | | - Tuan V. Vu
- School of Geography, Earth and Environmental Sciences, University of Birmingham, Birmingham, UK
| | - Jingsha Xu
- School of Geography, Earth and Environmental Sciences, University of Birmingham, Birmingham, UK
| | - Nicholas Straw
- Centre for Cardiovascular Science, Queen’s Medical Research Institute, University of Edinburgh, Edinburgh, UK
| | - Steven Thomson
- School of Geography, Earth and Environmental Sciences, University of Birmingham, Birmingham, UK
| | - Atallah Elzein
- Wolfson Atmospheric Chemistry Laboratories, Department of Chemistry, University of York, York, UK
| | - Yele Sun
- State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, China
| | - Di Liu
- School of Geography, Earth and Environmental Sciences, University of Birmingham, Birmingham, UK
- State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, China
| | - Linjie Li
- State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, China
| | - Pingqing Fu
- Institute of Surface Earth System Science, Tianjin University, Tianjin, China
| | - Alastair C. Lewis
- Wolfson Atmospheric Chemistry Laboratories, Department of Chemistry, University of York, York, UK
- National Centre for Atmospheric Science, University of York, York, UK
| | - Roy M. Harrison
- School of Geography, Earth and Environmental Sciences, University of Birmingham, Birmingham, UK
| | - William J. Bloss
- School of Geography, Earth and Environmental Sciences, University of Birmingham, Birmingham, UK
| | - Miranda Loh
- Institute of Occupational Medicine, Edinburgh, UK
| | - Mark R. Miller
- Centre for Cardiovascular Science, Queen’s Medical Research Institute, University of Edinburgh, Edinburgh, UK
| | - Zongbo Shi
- School of Geography, Earth and Environmental Sciences, University of Birmingham, Birmingham, UK
| | - Markus Kalberer
- Department of Environmental Sciences, University of Basel, Basel, Switzerland
- Department of Chemistry, University of Cambridge, Cambridge, UK
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19
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Martenies SE, Keller JP, WeMott S, Kuiper G, Ross Z, Allshouse WB, Adgate JL, Starling AP, Dabelea D, Magzamen S. A Spatiotemporal Prediction Model for Black Carbon in the Denver Metropolitan Area, 2009-2020. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2021; 55:3112-3123. [PMID: 33596061 PMCID: PMC8313050 DOI: 10.1021/acs.est.0c06451] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/07/2023]
Abstract
Studies on health effects of air pollution from local sources require exposure assessments that capture spatial and temporal trends. To facilitate intraurban studies in Denver, Colorado, we developed a spatiotemporal prediction model for black carbon (BC). To inform our model, we collected more than 700 weekly BC samples using personal air samplers from 2018 to 2020. The model incorporated spatial and spatiotemporal predictors and smoothed time trends to generate point-level weekly predictions of BC concentrations for the years 2009-2020. Our results indicate that our model reliably predicted weekly BC concentrations across the region during the year in which we collected data. We achieved a 10-fold cross-validation R2 of 0.83 and a root-mean-square error of 0.15 μg/m3 for weekly BC concentrations predicted at our sampling locations. Predicted concentrations displayed expected temporal trends, with the highest concentrations predicted during winter months. Thus, our prediction model improves on typical land use regression models that generally only capture spatial gradients. However, our model is limited by a lack of long-term BC monitoring data for full validation of historical predictions. BC predictions from the weekly spatiotemporal model will be used in traffic-related air pollution exposure-disease associations more precisely than previous models for the region have allowed.
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Affiliation(s)
- Sheena E Martenies
- Department of Kinesiology and Community Health, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801-3028, United States
- Department of Environmental and Radiological Health Sciences, Colorado State University, Fort Collins, Colorado 80523-1019, United States
| | - Joshua P Keller
- Department of Statistics, Colorado State University, Fort Collins, Colorado 80523-1019, United States
| | - Sherry WeMott
- Department of Environmental and Radiological Health Sciences, Colorado State University, Fort Collins, Colorado 80523-1019, United States
| | - Grace Kuiper
- Department of Environmental and Radiological Health Sciences, Colorado State University, Fort Collins, Colorado 80523-1019, United States
| | - Zev Ross
- ZevRoss Spatial Analysis, Ithaca, New York 14850, United States
| | - William B Allshouse
- Department of Environmental and Occupational Health, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, Colorado 80045, United States
| | - John L Adgate
- Department of Environmental and Occupational Health, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, Colorado 80045, United States
| | - Anne P Starling
- Department of Epidemiology, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, Colorado 80045, United States
- Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, University of Colorado Anschutz Medical Campus, Aurora, Colorado 80045, United States
| | - Dana Dabelea
- Department of Epidemiology, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, Colorado 80045, United States
- Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, University of Colorado Anschutz Medical Campus, Aurora, Colorado 80045, United States
- Department of Pediatrics, School of Medicine, University of Colorado Anschutz Medical Campus, Aurora, Colorado 80045, United States
| | - Sheryl Magzamen
- Department of Environmental and Radiological Health Sciences, Colorado State University, Fort Collins, Colorado 80523-1019, United States
- Department of Epidemiology, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, Colorado 80045, United States
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20
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Airborne Aerosols and Human Health: Leapfrogging from Mass Concentration to Oxidative Potential. ATMOSPHERE 2020. [DOI: 10.3390/atmos11090917] [Citation(s) in RCA: 21] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
The mass concentration of atmospheric particulate matter (PM) has been systematically used in epidemiological studies as an indicator of exposure to air pollutants, connecting PM concentrations with a wide variety of human health effects. However, these effects can be hardly explained by using one single parameter, especially because PM is formed by a complex mixture of chemicals. Current research has shown that many of these adverse health effects can be derived from the oxidative stress caused by the deposition of PM in the lungs. The oxidative potential (OP) of the PM, related to the presence of transition metals and organic compounds that can induce the production of reactive oxygen and nitrogen species (ROS/RNS), could be a parameter to evaluate these effects. Therefore, estimating the OP of atmospheric PM would allow us to evaluate and integrate the toxic potential of PM into a unique parameter, which is related to emission sources, size distribution and/or chemical composition. However, the association between PM and particle-induced toxicity is still largely unknown. In this commentary article, we analyze how this new paradigm could help to deal with some unanswered questions related to the impact of atmospheric PM over human health.
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21
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Cheung CW, He G, Pan Y. Mitigating the air pollution effect? The remarkable decline in the pollution-mortality relationship in Hong Kong. JOURNAL OF ENVIRONMENTAL ECONOMICS AND MANAGEMENT 2020; 101:102316. [PMID: 32287492 PMCID: PMC7126016 DOI: 10.1016/j.jeem.2020.102316] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/06/2019] [Revised: 02/18/2020] [Accepted: 02/25/2020] [Indexed: 05/11/2023]
Abstract
Using transboundary pollution from mainland China as an instrument, we show that air pollution leads to higher cardio-respiratory mortality in Hong Kong. However, the air pollution effect has dramatically decreased over the past two decades: before 2003, a 10-unit increase in the Air Pollution Index could lead to a 3.1% increase in monthly cardio-respiratory mortality, but this effect has declined to 0.5% using recent data and is no longer statistically significant. Exploratory analyses suggest that a well-functioning medical system and immediate access to emergency services can help mitigate the contemporaneous effects of pollution on mortality.
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Affiliation(s)
| | - Guojun He
- Corresponding author. Division of Social Science, Division of Environment and Sustainability, and Department of Economics, The Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong, China.
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22
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Thind MPS, Tessum CW, Azevedo IL, Marshall JD. Fine Particulate Air Pollution from Electricity Generation in the US: Health Impacts by Race, Income, and Geography. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2019; 53:14010-14019. [PMID: 31746196 DOI: 10.1021/acs.est.9b02527] [Citation(s) in RCA: 34] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/18/2023]
Abstract
Electricity generation is a large contributor to fine particulate matter (PM2.5) air pollution. However, the demographic distribution of the resulting exposure is largely unknown. We estimate exposures to and health impacts of PM2.5 from electricity generation in the US, for each of the seven Regional Transmission Organizations (RTOs), for each US state, by income and by race. We find that average exposures are the highest for blacks, followed by non-Latino whites. Exposures for remaining groups (e.g., Asians, Native Americans, Latinos) are somewhat lower. Disparities by race/ethnicity are observed for each income category, indicating that the racial/ethnic differences hold even after accounting for differences in income. Levels of disparity differ by state and RTO. Exposures are higher for lower-income than for higher-income, but disparities are larger by race than by income. Geographically, we observe large differences between where electricity is generated and where people experience the resulting PM2.5 health consequences; some states are net exporters of health impacts, other are net importers. For 36 US states, most of the health impacts are attributable to emissions in other states. Most of the total impacts are attributable to coal rather than other fuels.
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Affiliation(s)
- Maninder P S Thind
- Department of Civil and Environmental Engineering , University of Washington , Seattle , Washington 98195 , United States
| | - Christopher W Tessum
- Department of Civil and Environmental Engineering , University of Washington , Seattle , Washington 98195 , United States
| | - Inês L Azevedo
- Department of Energy Resources Engineering, School of Earth, Energy and the Environment , Stanford University , Stanford , California 94305 , United States
| | - Julian D Marshall
- Department of Civil and Environmental Engineering , University of Washington , Seattle , Washington 98195 , United States
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23
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Wang Y, Shi Z, Shen F, Sun J, Huang L, Zhang H, Chen C, Li T, Hu J. Associations of daily mortality with short-term exposure to PM 2.5 and its constituents in Shanghai, China. CHEMOSPHERE 2019; 233:879-887. [PMID: 31340414 DOI: 10.1016/j.chemosphere.2019.05.249] [Citation(s) in RCA: 29] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/03/2019] [Revised: 05/20/2019] [Accepted: 05/27/2019] [Indexed: 06/10/2023]
Abstract
Epidemiological studies have shown that fine particulate matter (PM2.5) has adverse impacts on human health. However, limited studies have investigated the effects of short-term exposure to PM2.5 and its constituents on mortality in China. This study used the generalized linear model (GLM) to investigate the effects of PM2.5 and its constituents, including organic carbon (OC), element carbon (EC), ammonium (NH4+), nitrate (NO3-), sulfate (SO42-), on different causes of mortality in Shanghai from January 1, 2013 to December 31, 2015. The single-day lagged model and the moving average lagged model were used to examine the lagging effects of pollutants on mortality. At lag0 day, PM2.5 had a significant effect on all-cause mortality, and a 10 μg/m3 increase leads to 0.68% increase in all-cause mortality (RR 1.0068, 95%CI 1.0013-1.0123). Among the five constituents, EC had the greatest impact on all-cause mortality in Shanghai, with 10.48% increase of mortality (RR 1.1048, 95%CI 1.0266-1.1891) per 10 μg/m3 increase of concentrations, followed by OC (RR 1.0577, 95%CI 1.0277-1.0886), NH4+ (RR 1.0272, 95%CI 1.0028-1.0522) and SO42- (RR 1.0104, 95%CI 1.0003-1.0206). For respiratory diseases mortality, EC, OC, NO3- and NH4+ had significant impacts and caused an increase of mortality by 44.99% (RR 1.4499, 95%CI 1.1813-1.7794), 10.40% (RR 1.1040, 95%CI 1.0260-1.1880), 5.338% (RR 1.0533, 95%CI 1.0097-1.0989) and 7.34% (RR 1.0734, 95%CI 1.0015-1.1505) per 10 μg/m3 increase of concentrations, respectively. The cumulative effect of PM2.5 on mortality was significant in Shanghai. Except for SO42-, the RR value of the single-day lagged model was smaller than the moving average lagged model.
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Affiliation(s)
- Yiyi Wang
- Jiangsu Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control, Nanjing University of Information Science & Technology, 219 Ningliu Road, Nanjing, 210044, China
| | - Zhihao Shi
- Jiangsu Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control, Nanjing University of Information Science & Technology, 219 Ningliu Road, Nanjing, 210044, China
| | - Fuzhen Shen
- Jiangsu Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control, Nanjing University of Information Science & Technology, 219 Ningliu Road, Nanjing, 210044, China
| | - Jinjin Sun
- Jiangsu Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control, Nanjing University of Information Science & Technology, 219 Ningliu Road, Nanjing, 210044, China
| | - Lin Huang
- Jiangsu Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control, Nanjing University of Information Science & Technology, 219 Ningliu Road, Nanjing, 210044, China
| | - Hongliang Zhang
- Department of Civil and Environmental Engineering, Louisiana State University, Baton Rouge, LA, 70803, United States
| | - Chen Chen
- National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, 100021, China
| | - Tiantian Li
- National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, 100021, China.
| | - Jianlin Hu
- Jiangsu Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control, Nanjing University of Information Science & Technology, 219 Ningliu Road, Nanjing, 210044, China.
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24
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Pei L, Zhao M, Xu J, Li A, Luo K, Li R, Yang M, Xu Q. Associations of ambient fine particulate matter and its constituents with serum complement C3 in a panel study of older adults in China. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2019; 252:1019-1025. [PMID: 31252098 DOI: 10.1016/j.envpol.2019.05.096] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/31/2019] [Revised: 05/05/2019] [Accepted: 05/18/2019] [Indexed: 06/09/2023]
Abstract
Epidemiological studies have demonstrated association between the total mass of fine particulate matter (PM2.5) exposures and inflammation. There are few studies exploring the associations between PM2.5 constituents and the biomarkers of inflammation in older adults and the underlying biological mechanisms are not exact. In this study, we examined the associations between PM2.5 and its constituents (organic carbon (OC), elemental carbon (EC), total carbon (TC), polycyclic aromatic hydrocarbons (PAHs) and complement three factor (C3), an important biomarker of inflammation in a repeated panel of 175 older adults in Beijing, China. We have constructed three different linear mixed effect models (single-pollutant model, constituent-PM2.5 joint model, and constituent-residual model) to evaluate the association of PM2.5 and its constituents and complement C3, controlling for concentration of high sensitive C-reactive protein (hs-CRP), day of week, mean temperature, relative humidity, location and potential individual confounders. We found robust positive associations of OC, EC, TC, PAHs and PM2.5 mass concentration with complement C3 at different lag patterns. The cumulative effects of pollutants increased across average of 2-5 days. Individuals aged 65 and above, or with diabetes, or BMI ≥30, or with no-cardiopathy, or with hypertension also exhibited positive associations between PM2.5 and complement C3. The results revealed that short-term exposure to PM2.5 and its constituents could result in a significant increase in serum level of complement C3. These findings suggested a possible involvement of complement C3 in the effect of PM2.5 on inflammatory reaction.
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Affiliation(s)
- Lu Pei
- Department of Epidemiology and Biostatistics, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing, 100005, China; Center of Environmental and Health Sciences, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, 100005, China
| | - Meiduo Zhao
- Department of Epidemiology and Biostatistics, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing, 100005, China; Center of Environmental and Health Sciences, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, 100005, China
| | - Jing Xu
- Department of Epidemiology and Biostatistics, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing, 100005, China; Center of Environmental and Health Sciences, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, 100005, China
| | - Ang Li
- Department of Epidemiology and Biostatistics, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing, 100005, China; Center of Environmental and Health Sciences, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, 100005, China
| | - Kai Luo
- Department of Epidemiology and Biostatistics, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing, 100005, China; Center of Environmental and Health Sciences, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, 100005, China
| | - Runkui Li
- College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, 100049, China; State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, 100101, China
| | - Mingan Yang
- Division of Biostatistics and Epidemiology, Graduate School of Public Health, San Diego State University, San Diego, CA, 92182, USA
| | - Qun Xu
- Department of Epidemiology and Biostatistics, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing, 100005, China; Center of Environmental and Health Sciences, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, 100005, China.
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25
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Fantke P, McKone TE, Tainio M, Jolliet O, Apte JS, Stylianou KS, Illner N, Marshall JD, Choma EF, Evans JS. Global Effect Factors for Exposure to Fine Particulate Matter. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2019; 53:6855-6868. [PMID: 31132267 PMCID: PMC6613786 DOI: 10.1021/acs.est.9b01800] [Citation(s) in RCA: 26] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/25/2019] [Revised: 05/24/2019] [Accepted: 05/27/2019] [Indexed: 05/21/2023]
Abstract
We evaluate fine particulate matter (PM2.5) exposure-response models to propose a consistent set of global effect factors for product and policy assessments across spatial scales and across urban and rural environments. Relationships among exposure concentrations and PM2.5-attributable health effects largely depend on location, population density, and mortality rates. Existing effect factors build mostly on an essentially linear exposure-response function with coefficients from the American Cancer Society study. In contrast, the Global Burden of Disease analysis offers a nonlinear integrated exposure-response (IER) model with coefficients derived from numerous epidemiological studies covering a wide range of exposure concentrations. We explore the IER, additionally provide a simplified regression as a function of PM2.5 level, mortality rates, and severity, and compare results with effect factors derived from the recently published global exposure mortality model (GEMM). Uncertainty in effect factors is dominated by the exposure-response shape, background mortality, and geographic variability. Our central IER-based effect factor estimates for different regions do not differ substantially from previous estimates. However, IER estimates exhibit significant variability between locations as well as between urban and rural environments, driven primarily by variability in PM2.5 concentrations and mortality rates. Using the IER as the basis for effect factors presents a consistent picture of global PM2.5-related effects for use in product and policy assessment frameworks.
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Affiliation(s)
- Peter Fantke
- Quantitative
Sustainability Assessment, Department of Technology, Management and
Economics, Technical University of Denmark, Produktionstorvet 424, 2800 Kongens Lyngby, Denmark
| | - Thomas E. McKone
- School
of Public Health, University of California, Berkeley, California 94720, United States
- Lawrence
Berkeley National Laboratory, Berkeley, California 94720, United States
| | - Marko Tainio
- UKCRC
Centre for Diet and Activity Research, University
of Cambridge, Cambridge, United Kingdom
- Systems
Research Institute, Polish Academy of Sciences, Warsaw, Poland
| | - Olivier Jolliet
- School of
Public Health, University of Michigan, Ann Arbor, Michigan 48109, United States
| | - Joshua S. Apte
- Department
of Civil, Architectural and Environmental Engineering, University of Texas at Austin, Austin, Texas 78712, United States
| | - Katerina S. Stylianou
- School of
Public Health, University of Michigan, Ann Arbor, Michigan 48109, United States
| | - Nicole Illner
- Quantitative
Sustainability Assessment, Department of Technology, Management and
Economics, Technical University of Denmark, Produktionstorvet 424, 2800 Kongens Lyngby, Denmark
| | - Julian D. Marshall
- Department
of Civil and Environmental Engineering, University of Washington, Seattle, Washington 98122, United States
| | - Ernani F. Choma
- Department
of Environmental Health, Harvard Chan School
of Public Health, Boston, Massachusetts 02115, United States
| | - John S. Evans
- Department
of Environmental Health, Harvard Chan School
of Public Health, Boston, Massachusetts 02115, United States
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26
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Acute Effects of Air Pollution and Noise from Road Traffic in a Panel of Young Healthy Adults. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2019; 16:ijerph16050788. [PMID: 30836690 PMCID: PMC6427505 DOI: 10.3390/ijerph16050788] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/11/2019] [Revised: 02/20/2019] [Accepted: 02/26/2019] [Indexed: 01/04/2023]
Abstract
Panel studies are an efficient means to assess short-term effects of air pollution and other time-varying environmental exposures. Repeated examinations of volunteers allow for an in-depth analysis of physiological responses supporting the biological interpretation of environmental impacts. Twenty-four healthy students walked for 1 h at a minimum of four separate occasions under each of the following four settings: along a busy road, along a busy road wearing ear plugs, in a park, and in a park but exposed to traffic noise (65 dB) through headphones. Particle mass (PM2.5, PM1), particle number, and noise levels were measured throughout each walk. Lung function and exhaled nitrogen oxide (NO) were measured before, immediately after, 1 h after, and approximately 24 h after each walk. Blood pressure and heart rate variability were measured every 15 min during each walk. Recorded air pollution levels were found to correlate with reduced lung function. The effects were clearly significant for end-expiratory flows and remained visible up to 24 h after exposure. While immediate increases in airway resistance could be interpreted as protective (muscular) responses to particulate air pollution, the persisting effects indicate an induced inflammatory reaction. Noise levels reduced systolic blood pressure and heart rate variability. Maybe due to the small sample size, no effects were visible per specific setting (road vs. park).
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27
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Bae S, Kwon HJ. Current State of Research on the Risk of Morbidity and Mortality Associated with Air Pollution in Korea. Yonsei Med J 2019; 60:243-256. [PMID: 30799587 PMCID: PMC6391524 DOI: 10.3349/ymj.2019.60.3.243] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/27/2018] [Indexed: 12/13/2022] Open
Abstract
PURPOSE The effects of air pollution on health can vary regionally. Our goal was to comprehensively review previous epidemiological studies on air pollution and health conducted in Korea to identify future areas of potential study. MATERIALS AND METHODS We systematically searched all published epidemiologic studies examining the association between air pollution and occurrence of death, diseases, or symptoms in Korea. After classifying health outcomes into mortality, morbidity, and health impact, we summarized the relationship between individual air pollutants and health outcomes. RESULTS We analyzed a total of 27 studies that provided 104 estimates of the quantitative association between risk of mortality and exposure to air pollutants, including particulate matter with aerodynamic diameter less than 10 μm, particulate matter with aerodynamic diameter less than 2.5 μm, sulfur dioxide, nitrogen dioxide, ozone, and carbon monoxide in Korea between January 1999 and July 2018. Regarding the association with morbidity, there were 38 studies, with 98 estimates, conducted during the same period. Most studies examined the short-term effects of air pollution using a time series or case-crossover study design; only three cohort studies that examined long-term effects were found. There were four health impact studies that calculated the attributable number of deaths or disability-adjusted life years due to air pollution. CONCLUSION There have been many epidemiologic studies in Korea regarding air pollution and health. However, the present review shows that additional studies, especially cohort and experimental studies, are needed to provide more robust and accurate evidence that can be used to promote evidence-based policymaking.
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Affiliation(s)
- Sanghyuk Bae
- Department of Preventive Medicine, College of Medicine, The Catholic University of Korea, Seoul, Korea
| | - Ho Jang Kwon
- Department of Preventive Medicine, Dankook University College of Medicine, Cheonan, Korea.
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28
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Chen C, Xu D, He MZ, Wang Y, Du Z, Du Y, Qian Y, Ji D, Li T. Fine Particle Constituents and Mortality: A Time-Series Study in Beijing, China. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2018; 52:11378-11386. [PMID: 30169957 PMCID: PMC6548719 DOI: 10.1021/acs.est.8b00424] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/21/2023]
Abstract
There is a rising concern that fine particle (PM2.5) compositions may play an important role in explaining PM2.5-related mortality risks. However, PM2.5 constituents responsible for these risks have not yet been determined. To date, there are few PM2.5 constituent health studies in developing countries. We adopted a time-series approach, using generalized linear regression models to examine associations between short-term exposure to PM2.5 constituents and mortality. We analyzed data stratified by sex and by age groups (<65, 65-74, and >74) from 2013 to 2015 in Beijing, China. We also investigated seasonal patterns of such associations. For a 0 day lag, interquartile range increases in potassium, calcium, magnesium, and organic carbon were associated with 0.51% (95% CI: 0.17-0.85), 2.07% (95% CI: 0.71-3.44), 0.26% (95% CI: 0.08-0.44), and 2.65% (95% CI: 0.18-5.18) increases in respiratory mortality, and sulfate with a 1.57% (95% CI: 0.04-3.12) increase in cardiovascular mortality. In the season-stratified analysis, the association of some constituents (potassium, calcium, magnesium, nitrate, sulfate, and organic carbon) with respiratory mortality appeared to be stronger in cold seasons than in warm seasons. Older adults (65-74) may be susceptible to certain compositions. Our findings provide evidence that link PM2.5 constituents with mortality and suggest that adverse effects vary among constituents in different seasons.
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Affiliation(s)
- Chen Chen
- Department of Environmental Health Risk Assessment, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - Dandan Xu
- Department of Environmental Health Risk Assessment, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - Mike Z. He
- Department of Environmental Health Sciences, Columbia University Mailman School of Public Health, New York, New York 10032, United States
| | - Yanwen Wang
- Department of Environmental Health Risk Assessment, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - Zonghao Du
- Department of Environmental Health Risk Assessment, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - Yanjun Du
- Department of Environmental Health Risk Assessment, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - Yan Qian
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China
| | - Dongsheng Ji
- State Key Laboratory of Atmospheric Boundary Layer and Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China
| | - Tiantian Li
- Department of Environmental Health Risk Assessment, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
- Corresponding Author: Telephone: 008613671359855. . Mailing address: No. 7 Panjiayuan Nanli, Chaoyang District, Beijing 100021, China
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29
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Schwartz J, Fong K, Zanobetti A. A National Multicity Analysis of the Causal Effect of Local Pollution, [Formula: see text], and [Formula: see text] on Mortality. ENVIRONMENTAL HEALTH PERSPECTIVES 2018; 126:087004. [PMID: 30235421 PMCID: PMC6375387 DOI: 10.1289/ehp2732] [Citation(s) in RCA: 40] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/24/2017] [Revised: 07/11/2018] [Accepted: 07/17/2018] [Indexed: 05/06/2023]
Abstract
BACKGROUND Studies have long associated [Formula: see text] with daily mortality, but few applied causal-modeling methods, or at low exposures. Short-term exposure to [Formula: see text], a marker of local traffic, has also been associated with mortality but is less studied. We previously found a causal effect between local air pollution and mortality in Boston. OBJECTIVES We aimed to estimate the causal effects of local pollution, [Formula: see text], and [Formula: see text] on mortality in 135 U.S. cities. METHODS We used three methods which, under different assumptions, provide causal marginal estimates of effect: a marginal structural model, an instrumental variable analysis, and a negative exposure control. The instrumental approach used planetary boundary layer, wind speed, and air pressure as instruments for concentrations of local pollutants; the marginal structural model separated the effects of [Formula: see text] from the effects of [Formula: see text], and the negative exposure control provided protection against unmeasured confounders. RESULTS In 7.3 million deaths, the instrumental approach estimated that mortality increased 1.5% [95% confidence interval (CI): 1.1%, 2.0%] per [Formula: see text] increase in local pollution indexed as [Formula: see text]. The negative control exposure was not associated with mortality. Restricting our analysis to days with [Formula: see text] below [Formula: see text], we found a 1.70% (95% CI 1.11%, 2.29%) increase. With marginal structural models, we found positive significant increases in deaths with both [Formula: see text] and [Formula: see text]. On days with [Formula: see text] below [Formula: see text], we found a 0.83% (95% CI 0.39%, 1.27%) increase. Including negative exposure controls changed estimates minimally. CONCLUSIONS Causal-modeling techniques, each subject to different assumptions, demonstrated causal effects of locally generated pollutants on daily deaths with effects at concentrations below the current EPA daily [Formula: see text] standard. https://doi.org/10.1289/EHP2732.
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Affiliation(s)
- Joel Schwartz
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
| | - Kelvin Fong
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
| | - Antonella Zanobetti
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
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Lange SS, Mulholland SE, Honeycutt ME. What Are the Net Benefits of Reducing the Ozone Standard to 65 ppb? An Alternative Analysis. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2018; 15:ijerph15081586. [PMID: 30049975 PMCID: PMC6121288 DOI: 10.3390/ijerph15081586] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/12/2018] [Revised: 07/19/2018] [Accepted: 07/21/2018] [Indexed: 12/14/2022]
Abstract
In October 2015, the United States Environmental Protection Agency (EPA) lowered the level of the ozone National Ambient Air Quality Standard (NAAQS) from 0.075 ppm to 0.070 ppm (annual 4th highest daily maximum 8-h concentration, averaged over three years). The EPA estimated a 2025 annual national non-California net benefit of $1.5 to $4.5 billion (2011$, 7% discount rate) for a 0.070 ppm standard, and a −$1.0 to $14 billion net benefit for an alternative 0.065 ppm standard. The purpose of this work is to present a combined toxicological and economic assessment of the EPA’s benefit-cost analysis of the 2015 ozone NAAQS. Assessing the quality of the epidemiology studies based on considerations of bias, confounding, chance, integration of evidence, and application of the studies for future population risk estimates, we derived several alternative benefits estimates. We also considered the strengths and weaknesses of the EPA’s cost estimates (e.g., marginal abatement costs), as well as estimates completed by other authors, and provided our own alternative cost estimate. Based on our alternative benefits and cost calculations, we estimated an alternative net benefit of between −$0.3 and $1.8 billion for a 0.070 ppm standard (2011 $, 7% discount rate) and between −$23 and −$17 billion for a 0.065 ppm standard. This work demonstrates that alternative reasonable assumptions can generate very difference cost and benefits estimates that may impact how policy makers view the outcomes of a major rule.
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Affiliation(s)
- Sabine S Lange
- Toxicology Division, Texas Commission on Environmental Quality, P.O. Box 13087, MC-168, Austin, TX 78711, USA.
| | - Sean E Mulholland
- Department of Economics, Management, and Project Management, West Carolina University, Cullowhee, NC 28723, USA.
| | - Michael E Honeycutt
- Toxicology Division, Texas Commission on Environmental Quality, P.O. Box 13087, MC-168, Austin, TX 78711, USA.
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Hime NJ, Marks GB, Cowie CT. A Comparison of the Health Effects of Ambient Particulate Matter Air Pollution from Five Emission Sources. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2018; 15:E1206. [PMID: 29890638 PMCID: PMC6024892 DOI: 10.3390/ijerph15061206] [Citation(s) in RCA: 111] [Impact Index Per Article: 18.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/24/2018] [Revised: 05/27/2018] [Accepted: 06/05/2018] [Indexed: 12/11/2022]
Abstract
This article briefly reviews evidence of health effects associated with exposure to particulate matter (PM) air pollution from five common outdoor emission sources: traffic, coal-fired power stations, diesel exhaust, domestic wood combustion heaters, and crustal dust. The principal purpose of this review is to compare the evidence of health effects associated with these different sources with a view to answering the question: Is exposure to PM from some emission sources associated with worse health outcomes than exposure to PM from other sources? Answering this question will help inform development of air pollution regulations and environmental policy that maximises health benefits. Understanding the health effects of exposure to components of PM and source-specific PM are active fields of investigation. However, the different methods that have been used in epidemiological studies, along with the differences in populations, emission sources, and ambient air pollution mixtures between studies, make the comparison of results between studies problematic. While there is some evidence that PM from traffic and coal-fired power station emissions may elicit greater health effects compared to PM from other sources, overall the evidence to date does not indicate a clear ‘hierarchy’ of harmfulness for PM from different emission sources. Further investigations of the health effects of source-specific PM with more advanced approaches to exposure modeling, measurement, and statistics, are required before changing the current public health protection approach of minimising exposure to total PM mass.
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Affiliation(s)
- Neil J Hime
- Woolcock Institute of Medical Research, University of Sydney, 431 Glebe Point Road, Glebe, Sydney, NSW 2037, Australia.
- The Sydney School of Public Health, University of Sydney Medical School, Sydney, NSW 2006, Australia.
| | - Guy B Marks
- Woolcock Institute of Medical Research, University of Sydney, 431 Glebe Point Road, Glebe, Sydney, NSW 2037, Australia.
- South West Sydney Clinical School, University of New South Wales, Goulburn Street, Liverpool, Sydney, NSW 2170, Australia.
- Ingham Institute of Applied Medical Research, 1 Campbell Street, Liverpool, Sydney, NSW 2170, Australia.
| | - Christine T Cowie
- Woolcock Institute of Medical Research, University of Sydney, 431 Glebe Point Road, Glebe, Sydney, NSW 2037, Australia.
- South West Sydney Clinical School, University of New South Wales, Goulburn Street, Liverpool, Sydney, NSW 2170, Australia.
- Ingham Institute of Applied Medical Research, 1 Campbell Street, Liverpool, Sydney, NSW 2170, Australia.
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Hennig F, Quass U, Hellack B, Küpper M, Kuhlbusch TAJ, Stafoggia M, Hoffmann B. Ultrafine and Fine Particle Number and Surface Area Concentrations and Daily Cause-Specific Mortality in the Ruhr Area, Germany, 2009-2014. ENVIRONMENTAL HEALTH PERSPECTIVES 2018; 126:027008. [PMID: 29467106 PMCID: PMC6066351 DOI: 10.1289/ehp2054] [Citation(s) in RCA: 41] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/18/2017] [Revised: 12/19/2017] [Accepted: 12/21/2017] [Indexed: 05/03/2023]
Abstract
BACKGROUND Although epidemiologic studies have shown associations between particle mass and daily mortality, evidence on other particle metrics is weak. OBJECTIVES We investigated associations of size-specific particle number concentration (PNC) and lung-deposited particle surface area concentration (PSC) with cause-specific daily mortality in contrast to PM10. METHODS We used time-series data (March 2009-December 2014) on daily natural, cardiovascular, and respiratory mortality (NM, CVM, RM) of three adjacent cities in the Ruhr Area, Germany. Size-specific PNC (electric mobility diameter of 13.3-750 nm), PSC, and PM10 were measured at an urban background monitoring site. In single- and multipollutant Poisson regression models, we estimated percentage change (95% confidence interval) [% (95% CI)] in mortality per interquartile range (IQR) in exposure at single-day (0-7) and aggregated lags (0-1, 2-3, 4-7), accounting for time trend, temperature, humidity, day of week, holidays, period of seasonal population decrease, and influenza. RESULTS PNC100-750 and PSC were highly correlated and had similar immediate (lag0-1) and delayed (lag4-7) associations with NM and CVM, for example, 1.12% (95% CI: 0.09, 2.33) and 1.56% (95% CI: 0.22, 2.92) higher NM with IQR increases in PNC100-750 at lag0-1 and lag4-7, respectfully, which were slightly stronger then associations with IQR increases in PM10. Positive associations between PNC and NM were strongest for accumulation mode particles (PNC 100-500 nm), and for larger UFPs (PNC 50-100 nm). Associations between NM and PNC<100 changed little after adjustment for O3 or PM10, but were more sensitive to adjustment for NO2. CONCLUSION Size-specific PNC (50-500 nm) and lung-deposited PSC were associated with natural and cardiovascular mortality in the Ruhr Area. Although associations were similar to those estimated for an IQR increase in PM10, particle number size distributions can be linked to emission sources, and thus may be more informative for potential public health interventions. Moreover, PSC could be used as an alternative metric that integrates particle size distribution as well as deposition efficiency. https://doi.org/10.1289/EHP2054.
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Affiliation(s)
- Frauke Hennig
- Institute of Occupational, Social and Environmental Medicine, Center for Health and Society, Heinrich-Heine-University of Düsseldorf, Düsseldorf, Germany
| | - Ulrich Quass
- Institute of Energy and Environmental Technology e.V., Duisburg, Germany
| | - Bryan Hellack
- Institute of Energy and Environmental Technology e.V., Duisburg, Germany
| | - Miriam Küpper
- Institute of Energy and Environmental Technology e.V., Duisburg, Germany
| | - Thomas A J Kuhlbusch
- Federal Institute of Occupational Safety and Health , Dortmund, Germany
- Center for Nanointegration Duisburg-Essen (CENIDE), University Duisburg-Essen , Duisburg and Essen, Germany
| | - Massimo Stafoggia
- Department of Epidemiology, Lazio Region Health Service , Rome, Italy
- Institute of Environmental Medicine, Karolinska Institute , Stockholm, Sweden
| | - Barbara Hoffmann
- Institute of Occupational, Social and Environmental Medicine, Center for Health and Society, Heinrich-Heine-University of Düsseldorf, Düsseldorf, Germany
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Ye D, Klein M, Mulholland JA, Russell AG, Weber R, Edgerton ES, Chang HH, Sarnat JA, Tolbert PE, Ebelt Sarnat S. Estimating Acute Cardiovascular Effects of Ambient PM 2.5 Metals. ENVIRONMENTAL HEALTH PERSPECTIVES 2018; 126:027007. [PMID: 29467104 PMCID: PMC6066344 DOI: 10.1289/ehp2182] [Citation(s) in RCA: 32] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/10/2017] [Revised: 10/05/2017] [Accepted: 12/08/2017] [Indexed: 05/19/2023]
Abstract
BACKGROUND Few epidemiologic studies have investigated health effects of water-soluble fractions of PM2.5 metals, the more biologically accessible fractions of metals, in their attempt to identify health-relevant components of ambient PM2.5. OBJECTIVES In this study, we estimated acute cardiovascular effects of PM2.5 components in an urban population, including a suite of water-soluble metals that are not routinely measured at the ambient level. METHODS Ambient concentrations of criteria gases, PM2.5, and PM2.5 components were measured at a central monitor in Atlanta, Georgia, during 1998-2013, with some PM2.5 components only measured during 2008-2013. In a time-series framework using Poisson regression, we estimated associations between these pollutants and daily counts of emergency department (ED) visits for cardiovascular diseases in the five-county Atlanta area. RESULTS Among the PM2.5 components we examined during 1998-2013, water-soluble iron had the strongest estimated effect on cardiovascular outcomes [R͡R=1.012 (95% CI: 1.005, 1.019), per interquartile range increase (20.46ng/m3)]. The associations for PM2.5 and other PM2.5 components were consistent with the null when controlling for water-soluble iron. Among PM2.5 components that were only measured during 2008-2013, water-soluble vanadium was associated with cardiovascular ED visits [R͡R=1.012 (95% CI: 1.000, 1.025), per interquartile range increase (0.19ng/m3)]. CONCLUSIONS Our study suggests cardiovascular effects of certain water-soluble metals, particularly water-soluble iron. The observed associations with water-soluble iron may also point to certain aspects of traffic pollution, when processed by acidifying sulfate, as a mixture harmful for cardiovascular health. https://doi.org/10.1289/EHP2182.
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Affiliation(s)
- Dongni Ye
- Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, Georgia, USA
| | - Mitchel Klein
- Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, Georgia, USA
- Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, Georgia, USA
| | - James A Mulholland
- School of Civil and Environmental Engineering, Georgia Institute of Technology, Atlanta, Georgia, USA
| | - Armistead G Russell
- School of Civil and Environmental Engineering, Georgia Institute of Technology, Atlanta, Georgia, USA
| | - Rodney Weber
- School of Civil and Environmental Engineering, Georgia Institute of Technology, Atlanta, Georgia, USA
| | - Eric S Edgerton
- Atmospheric Research & Analysis, Inc., Cary, North Carolina, USA
| | - Howard H Chang
- Department of Biostatistics and Bioinformatics, Rollins School of Public Health, Emory University, Atlanta, Georgia, USA
| | - Jeremy A Sarnat
- Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, Georgia, USA
| | - Paige E Tolbert
- Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, Georgia, USA
- Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, Georgia, USA
| | - Stefanie Ebelt Sarnat
- Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, Georgia, USA
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Chang SY, Vizuete W, Serre M, Vennam LP, Omary M, Isakov V, Breen M, Arunachalam S. Finely Resolved On-Road PM 2.5 and Estimated Premature Mortality in Central North Carolina. RISK ANALYSIS : AN OFFICIAL PUBLICATION OF THE SOCIETY FOR RISK ANALYSIS 2017; 37:2420-2434. [PMID: 28244115 PMCID: PMC7784485 DOI: 10.1111/risa.12775] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/31/2016] [Revised: 12/19/2016] [Accepted: 12/21/2016] [Indexed: 06/03/2023]
Abstract
To quantify the on-road PM2.5 -related premature mortality at a national scale, previous approaches to estimate concentrations at a 12-km × 12-km or larger grid cell resolution may not fully characterize concentration hotspots that occur near roadways and thus the areas of highest risk. Spatially resolved concentration estimates from on-road emissions to capture these hotspots may improve characterization of the associated risk, but are rarely used for estimating premature mortality. In this study, we compared the on-road PM2.5 -related premature mortality in central North Carolina with two different concentration estimation approaches-(i) using the Community Multiscale Air Quality (CMAQ) model to model concentration at a coarser resolution of a 36-km × 36-km grid resolution, and (ii) using a hybrid of a Gaussian dispersion model, CMAQ, and a space-time interpolation technique to provide annual average PM2.5 concentrations at a Census-block level (∼105,000 Census blocks). The hybrid modeling approach estimated 24% more on-road PM2.5 -related premature mortality than CMAQ. The major difference is from the primary on-road PM2.5 where the hybrid approach estimated 2.5 times more primary on-road PM2.5 -related premature mortality than CMAQ due to predicted exposure hotspots near roadways that coincide with high population areas. The results show that 72% of primary on-road PM2.5 premature mortality occurs within 1,000 m from roadways where 50% of the total population resides, highlighting the importance to characterize near-road primary PM2.5 and suggesting that previous studies may have underestimated premature mortality due to PM2.5 from traffic-related emissions.
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Affiliation(s)
- Shih Ying Chang
- Institute for the Environment, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- Department of Environmental Sciences and Engineering, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - William Vizuete
- Department of Environmental Sciences and Engineering, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Marc Serre
- Department of Environmental Sciences and Engineering, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Lakshmi Pradeepa Vennam
- Institute for the Environment, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- Department of Environmental Sciences and Engineering, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Mohammad Omary
- Institute for the Environment, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Vlad Isakov
- National Exposure Research Laboratory, U.S. Environmental Protection Agency, Research Triangle Park, NC, USA
| | - Michael Breen
- National Exposure Research Laboratory, U.S. Environmental Protection Agency, Research Triangle Park, NC, USA
| | - Saravanan Arunachalam
- Institute for the Environment, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
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Levy JI, Biton L, Hopke PK, Zhang KM, Rector L. A cost-benefit analysis of a pellet boiler with electrostatic precipitator versus conventional biomass technology: A case study of an institutional boiler in Syracuse, New York. ENVIRONMENTAL RESEARCH 2017; 156:312-319. [PMID: 28388517 DOI: 10.1016/j.envres.2017.03.052] [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: 02/07/2017] [Revised: 03/29/2017] [Accepted: 03/30/2017] [Indexed: 06/07/2023]
Abstract
BACKGROUND Biomass facilities have received increasing attention as a strategy to increase the use of renewable fuels and decrease greenhouse gas emissions from the electric generation and heating sectors, but these facilities can potentially increase local air pollution and associated health effects. Comparing the economic costs and public health benefits of alternative biomass fuel, heating technology, and pollution control technology options provides decision-makers with the necessary information to make optimal choices in a given location. METHODS For a case study of a combined heat and power biomass facility in Syracuse, New York, we used stack testing to estimate emissions of fine particulate matter (PM2.5) for both the deployed technology (staged combustion pellet boiler with an electrostatic precipitator) and a conventional alternative (wood chip stoker boiler with a multicyclone). We used the atmospheric dispersion model AERMOD to calculate the contribution of either fuel-technology configuration to ambient primary PM2.5 in a 10km×10km region surrounding the facility, and we quantified the incremental contribution to population mortality and morbidity. We assigned economic values to health outcomes and compared the health benefits of the lower-emitting technology with the incremental costs. RESULTS In total, the incremental annualized cost of the lower-emitting pellet boiler was $190,000 greater, driven by a greater cost of the pellet fuel and pollution control technology, offset in part by reduced fuel storage costs. PM2.5 emissions were a factor of 23 lower with the pellet boiler with electrostatic precipitator, with corresponding differences in contributions to ambient primary PM2.5 concentrations. The monetary value of the public health benefits of selecting the pellet-fired boiler technology with electrostatic precipitator was $1.7 million annually, greatly exceeding the differential costs even when accounting for uncertainties. Our analyses also showed complex spatial patterns of health benefits given non-uniform age distributions and air pollution levels. CONCLUSIONS The incremental investment in a lower-emitting staged combustion pellet boiler with an electrostatic precipitator was well justified by the population health improvements over the conventional wood chip technology with a multicyclone, even given the focus on only primary PM2.5 within a small spatial domain. Our analytical framework could be generalized to other settings to inform optimal strategies for proposed new facilities or populations.
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Affiliation(s)
- Jonathan I Levy
- Boston University School of Public Health, 715 Albany St., Boston, MA 02118, USA.
| | - Leiran Biton
- US Environmental Protection Agency Region 1, 5 Post Office Square Suite 100, Boston, MA 02109, USA.
| | - Philip K Hopke
- Center for Air Resources Engineering and Science, Clarkson University, Box 5708, Potsdam, NY 13699, USA.
| | - K Max Zhang
- Sibley School of Mechanical and Aerospace Engineering, Cornell University, Ithaca, NY 14853, USA.
| | - Lisa Rector
- Northeast States for Coordinated Air Use Management, 89 South Street, Boston, MA 02111, USA.
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Ha S, Männistö T, Liu D, Sherman S, Ying Q, Mendola P. Air pollution and cardiovascular events at labor and delivery: a case-crossover analysis. Ann Epidemiol 2017; 27:377-383. [PMID: 28552468 DOI: 10.1016/j.annepidem.2017.05.007] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2016] [Revised: 02/03/2017] [Accepted: 05/07/2017] [Indexed: 10/19/2022]
Abstract
PURPOSE In this case-crossover study, we investigated the odds of having a labor/delivery with cardiovascular event (i.e., ischemic heart disease, stroke, heart failure, cardiac arrest/failure, and other or unspecified cardiovascular events) associated with acute exposure to common air pollutants. METHODS We selected 680 women with singleton pregnancy and cardiovascular events at labor/delivery from 12 U.S. clinical sites (2002-2008). Exposures to six criteria air pollutants, six particulate constituents, and 26 air toxics were obtained using modified Community Multiscale Air Quality models. Conditional logistic regression models calculated the odds ratio (OR) and 95% confidence intervals (CI) comparing exposures during the day of delivery, the week before delivery, and each of the days of the week before delivery to two control periods before and after. RESULTS An interquartile range increase in particulate matter (PM) ≤2.5 microns and nitric oxide exposures during the week before delivery was associated with an 11% (OR 1.11, 95% CI: 1.01-1.23) and 21% (OR 1.21, 95% CI: 1.04-1.42) increased cardiovascular events odds, respectively. These pollutants, sulfur dioxide, carbon monoxide, PM ≤ 10 microns, and some PM constituents showed associations with event odds for days 0, 1, 5, and 6 before delivery. Inverse associations were observed for O3 and some PM constituents as well as air toxics. CONCLUSIONS Cardiovascular events at labor/delivery merit more attention in relation to air pollution.
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Affiliation(s)
- Sandie Ha
- Epidemiology Branch, Division of Intramural Population Health Research, NICHD, Bethesda, MD
| | - Tuija Männistö
- Northern Finland Laboratory Centre NordLab, Oulu, Finland; Department of Clinical Chemistry, University of Oulu, Oulu, Finland; Medical Research Center Oulu, Oulu University Hospital and University of Oulu, Oulu, Finland; National Institute for Health and Welfare, Oulu, Finland
| | - Danping Liu
- Biostatistics and Bioinformatics Branch, Division of Intramural Population Health Research, NICHD, Bethesda, MD
| | | | - Qi Ying
- Texas A&M University, Zachry Department of Civil Engineering, College Station, TX
| | - Pauline Mendola
- Epidemiology Branch, Division of Intramural Population Health Research, NICHD, Bethesda, MD.
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O’ Lenick CR, Chang HH, Kramer MR, Winquist A, Mulholland JA, Friberg MD, Sarnat SE. Ozone and childhood respiratory disease in three US cities: evaluation of effect measure modification by neighborhood socioeconomic status using a Bayesian hierarchical approach. Environ Health 2017; 16:36. [PMID: 28381221 PMCID: PMC5382444 DOI: 10.1186/s12940-017-0244-2] [Citation(s) in RCA: 32] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2016] [Accepted: 03/24/2017] [Indexed: 05/22/2023]
Abstract
BACKGROUND Ground-level ozone is a potent airway irritant and a determinant of respiratory morbidity. Susceptibility to the health effects of ambient ozone may be influenced by both intrinsic and extrinsic factors, such as neighborhood socioeconomic status (SES). Questions remain regarding the manner and extent that factors such as SES influence ozone-related health effects, particularly across different study areas. METHODS Using a 2-stage modeling approach we evaluated neighborhood SES as a modifier of ozone-related pediatric respiratory morbidity in Atlanta, Dallas, & St. Louis. We acquired multi-year data on emergency department (ED) visits among 5-18 year olds with a primary diagnosis of respiratory disease in each city. Daily concentrations of 8-h maximum ambient ozone were estimated for all ZIP Code Tabulation Areas (ZCTA) in each city by fusing observed concentration data from available network monitors with simulations from an emissions-based chemical transport model. In the first stage, we used conditional logistic regression to estimate ZCTA-specific odds ratios (OR) between ozone and respiratory ED visits, controlling for temporal trends and meteorology. In the second stage, we combined ZCTA-level estimates in a Bayesian hierarchical model to assess overall associations and effect modification by neighborhood SES considering categorical and continuous SES indicators (e.g., ZCTA-specific levels of poverty). We estimated ORs and 95% posterior intervals (PI) for a 25 ppb increase in ozone. RESULTS The hierarchical model combined effect estimates from 179 ZCTAs in Atlanta, 205 ZCTAs in Dallas, and 151 ZCTAs in St. Louis. The strongest overall association of ozone and pediatric respiratory disease was in Atlanta (OR = 1.08, 95% PI: 1.06, 1.11), followed by Dallas (OR = 1.04, 95% PI: 1.01, 1.07) and St. Louis (OR = 1.03, 95% PI: 0.99, 1.07). Patterns of association across levels of neighborhood SES in each city suggested stronger ORs in low compared to high SES areas, with some evidence of non-linear effect modification. CONCLUSIONS Results suggest that ozone is associated with pediatric respiratory morbidity in multiple US cities; neighborhood SES may modify this association in a non-linear manner. In each city, children living in low SES environments appear to be especially vulnerable given positive ORs and high underlying rates of respiratory morbidity.
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Affiliation(s)
- Cassandra R. O’ Lenick
- Department of Environmental Health, Rollins School of Public Health, Emory University, Second Floor, Claudia Nance Rollins Building, Rm. 2030 B, 1518 Clifton Road NE, Atlanta, GA 30322 USA
| | - Howard H. Chang
- Department of Biostatistics and Bioinformatics, Rollins School of Public Health, Emory University, Atlanta, GA USA
| | - Michael R. Kramer
- Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA USA
| | - Andrea Winquist
- Department of Environmental Health, Rollins School of Public Health, Emory University, Second Floor, Claudia Nance Rollins Building, Rm. 2030 B, 1518 Clifton Road NE, Atlanta, GA 30322 USA
| | - James A. Mulholland
- School of Civil and Environmental Engineering, Georgia Institute of Technology, Atlanta, GA USA
| | - Mariel D. Friberg
- School of Civil and Environmental Engineering, Georgia Institute of Technology, Atlanta, GA USA
| | - Stefanie Ebelt Sarnat
- Department of Environmental Health, Rollins School of Public Health, Emory University, Second Floor, Claudia Nance Rollins Building, Rm. 2030 B, 1518 Clifton Road NE, Atlanta, GA 30322 USA
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Chen J, Li C, Ristovski Z, Milic A, Gu Y, Islam MS, Wang S, Hao J, Zhang H, He C, Guo H, Fu H, Miljevic B, Morawska L, Thai P, Lam YF, Pereira G, Ding A, Huang X, Dumka UC. A review of biomass burning: Emissions and impacts on air quality, health and climate in China. THE SCIENCE OF THE TOTAL ENVIRONMENT 2017; 579:1000-1034. [PMID: 27908624 DOI: 10.1016/j.scitotenv.2016.11.025] [Citation(s) in RCA: 342] [Impact Index Per Article: 48.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/01/2016] [Revised: 11/04/2016] [Accepted: 11/04/2016] [Indexed: 05/17/2023]
Abstract
Biomass burning (BB) is a significant air pollution source, with global, regional and local impacts on air quality, public health and climate. Worldwide an extensive range of studies has been conducted on almost all the aspects of BB, including its specific types, on quantification of emissions and on assessing its various impacts. China is one of the countries where the significance of BB has been recognized, and a lot of research efforts devoted to investigate it, however, so far no systematic reviews were conducted to synthesize the information which has been emerging. Therefore the aim of this work was to comprehensively review most of the studies published on this topic in China, including literature concerning field measurements, laboratory studies and the impacts of BB indoors and outdoors in China. In addition, this review provides insights into the role of wildfire and anthropogenic BB on air quality and health globally. Further, we attempted to provide a basis for formulation of policies and regulations by policy makers in China.
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Affiliation(s)
- Jianmin Chen
- Shanghai Key Laboratory of Atmospheric Particle Pollution and Prevention, Department of Environmental Science and Engineering, Institute of Atmospheric Sciences, Fudan University, Shanghai 200433, China; Collaborative Innovation Center of Climate Change, School of Atmospheric Sciences, Nanjing University, Nanjing 210023, China.
| | - Chunlin Li
- Shanghai Key Laboratory of Atmospheric Particle Pollution and Prevention, Department of Environmental Science and Engineering, Institute of Atmospheric Sciences, Fudan University, Shanghai 200433, China
| | - Zoran Ristovski
- International Laboratory for Air Quality and Health, Queensland University of Technology, Brisbane, QLD 4001, Australia
| | - Andelija Milic
- International Laboratory for Air Quality and Health, Queensland University of Technology, Brisbane, QLD 4001, Australia
| | - Yuantong Gu
- International Laboratory for Air Quality and Health, Queensland University of Technology, Brisbane, QLD 4001, Australia
| | - Mohammad S Islam
- International Laboratory for Air Quality and Health, Queensland University of Technology, Brisbane, QLD 4001, Australia
| | - Shuxiao Wang
- State Key Joint Laboratory of Environment Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing 100084, China
| | - Jiming Hao
- State Key Joint Laboratory of Environment Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing 100084, China.
| | - Hefeng Zhang
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China
| | - Congrong He
- International Laboratory for Air Quality and Health, Queensland University of Technology, Brisbane, QLD 4001, Australia
| | - Hai Guo
- Department of Civil and Environmental Engineering, Hong Kong Polytechnic University, Hong Kong, China
| | - Hongbo Fu
- Shanghai Key Laboratory of Atmospheric Particle Pollution and Prevention, Department of Environmental Science and Engineering, Institute of Atmospheric Sciences, Fudan University, Shanghai 200433, China
| | - Branka Miljevic
- International Laboratory for Air Quality and Health, Queensland University of Technology, Brisbane, QLD 4001, Australia
| | - Lidia Morawska
- International Laboratory for Air Quality and Health, Queensland University of Technology, Brisbane, QLD 4001, Australia.
| | - Phong Thai
- International Laboratory for Air Quality and Health, Queensland University of Technology, Brisbane, QLD 4001, Australia
| | - Yun Fat Lam
- School of Energy and Environment, City University of Hong Kong, Hong Kong, China
| | - Gavin Pereira
- School of Public Health, Curtin University, Perth, WA, 6000, Australia
| | - Aijun Ding
- Collaborative Innovation Center of Climate Change, School of Atmospheric Sciences, Nanjing University, Nanjing 210023, China
| | - Xin Huang
- Collaborative Innovation Center of Climate Change, School of Atmospheric Sciences, Nanjing University, Nanjing 210023, China
| | - Umesh C Dumka
- Shanghai Key Laboratory of Atmospheric Particle Pollution and Prevention, Department of Environmental Science and Engineering, Institute of Atmospheric Sciences, Fudan University, Shanghai 200433, China; Aryabhatta Research Institute of Observational Sciences, Manora Peak, Nainital 263001, India
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Tian L, Sun S. Comparison of Health Impact of Air Pollution Between China and Other Countries. ADVANCES IN EXPERIMENTAL MEDICINE AND BIOLOGY 2017; 1017:215-232. [PMID: 29177964 DOI: 10.1007/978-981-10-5657-4_9] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/03/2023]
Abstract
Air pollution is the world's largest single environmental risk according to the World Health Organization (WHO), which caused around seven million deaths in 2012. Extensive epidemiological studies have been carried out worldwide to examine the health impacts of ambient air pollution, consistently demonstrating significant health impacts of ambient air pollution. Air pollution problem in China is especially serious; it has become the fourth biggest threat to the health of the Chinese people. In this review, we summarized existing literature, compared health impact of air pollution between China and other countries, and found substantial heterogeneity in the risk estimates of air pollution. The effect heterogeneities may be due to the differences in the characteristics of populations (e.g., the proportion of the elder population and people with preexisting diseases), exposure profile (e.g., air pollution concentrations and composition), and regional climate. Although the magnitude of relative risk estimates of air pollution is generally similar with that in other parts of the world, air pollution is one of China's most serious environmental health problems given the huge number of people exposed to high concentration levels of air pollution in China.
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Affiliation(s)
- Linwei Tian
- School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China.
| | - Shengzhi Sun
- School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China
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Kim YH, Krantz QT, McGee J, Kovalcik KD, Duvall RM, Willis RD, Kamal AS, Landis MS, Norris GA, Gilmour MI. Chemical composition and source apportionment of size fractionated particulate matter in Cleveland, Ohio, USA. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2016; 218:1180-1190. [PMID: 27593352 DOI: 10.1016/j.envpol.2016.08.073] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/23/2016] [Revised: 08/26/2016] [Accepted: 08/26/2016] [Indexed: 06/06/2023]
Abstract
The Cleveland airshed comprises a complex mixture of industrial source emissions that contribute to periods of non-attainment for fine particulate matter (PM2.5) and are associated with increased adverse health outcomes in the exposed population. Specific PM sources responsible for health effects however are not fully understood. Size-fractionated PM (coarse, fine, and ultrafine) samples were collected using a ChemVol sampler at an urban site (G.T. Craig (GTC)) and rural site (Chippewa Lake (CLM)) from July 2009 to June 2010, and then chemically analyzed. The resulting speciated PM data were apportioned by EPA positive matrix factorization to identify emission sources for each size fraction and location. For comparisons with the ChemVol results, PM samples were also collected with sequential dichotomous and passive samplers, and evaluated for source contributions to each sampling site. The ChemVol results showed that annual average concentrations of PM, elemental carbon, and inorganic elements in the coarse fraction at GTC were ∼2, ∼7, and ∼3 times higher than those at CLM, respectively, while the smaller size fractions at both sites showed similar annual average concentrations. Seasonal variations of secondary aerosols (e.g., high NO3- level in winter and high SO42- level in summer) were observed at both sites. Source apportionment results demonstrated that the PM samples at GTC and CLM were enriched with local industrial sources (e.g., steel plant and coal-fired power plant) but their contributions were influenced by meteorological conditions and the emission source's operation conditions. Taken together the year-long PM collection and data analysis provides valuable insights into the characteristics and sources of PM impacting the Cleveland airshed in both the urban center and the rural upwind background locations. These data will be used to classify the PM samples for toxicology studies to determine which PM sources, species, and size fractions are of greatest health concern.
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Affiliation(s)
- Yong Ho Kim
- Environmental Public Health Division, National Health and Environmental Effects Research Laboratory, U.S. Environmental Protection Agency, Research Triangle Park, NC 27711, USA; National Research Council, Washington, DC 20001, USA
| | - Q Todd Krantz
- Environmental Public Health Division, National Health and Environmental Effects Research Laboratory, U.S. Environmental Protection Agency, Research Triangle Park, NC 27711, USA
| | - John McGee
- Environmental Public Health Division, National Health and Environmental Effects Research Laboratory, U.S. Environmental Protection Agency, Research Triangle Park, NC 27711, USA
| | - Kasey D Kovalcik
- Exposure Methods and Measurement Division, National Exposure Research Laboratory, U.S. Environmental Protection Agency, Research Triangle Park, NC 27711, USA
| | - Rachelle M Duvall
- Exposure Methods and Measurement Division, National Exposure Research Laboratory, U.S. Environmental Protection Agency, Research Triangle Park, NC 27711, USA
| | - Robert D Willis
- Exposure Methods and Measurement Division, National Exposure Research Laboratory, U.S. Environmental Protection Agency, Research Triangle Park, NC 27711, USA
| | - Ali S Kamal
- Exposure Methods and Measurement Division, National Exposure Research Laboratory, U.S. Environmental Protection Agency, Research Triangle Park, NC 27711, USA
| | - Matthew S Landis
- Exposure Methods and Measurement Division, National Exposure Research Laboratory, U.S. Environmental Protection Agency, Research Triangle Park, NC 27711, USA
| | - Gary A Norris
- Systems Exposure Division, National Exposure Research Laboratory, U.S. Environmental Protection Agency, Research Triangle Park, NC 27711, USA
| | - M Ian Gilmour
- Environmental Public Health Division, National Health and Environmental Effects Research Laboratory, U.S. Environmental Protection Agency, Research Triangle Park, NC 27711, USA.
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Vuong NQ, Goegan P, Mohottalage S, Breznan D, Ariganello M, Williams A, Elisma F, Karthikeyan S, Vincent R, Kumarathasan P. Proteomic changes in human lung epithelial cells (A549) in response to carbon black and titanium dioxide exposures. J Proteomics 2016; 149:53-63. [DOI: 10.1016/j.jprot.2016.03.046] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2015] [Revised: 03/12/2016] [Accepted: 03/26/2016] [Indexed: 01/16/2023]
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Shi J, Chen R, Yang C, Lin Z, Cai J, Xia Y, Wang C, Li H, Johnson N, Xu X, Zhao Z, Kan H. Association between fine particulate matter chemical constituents and airway inflammation: A panel study among healthy adults in China. ENVIRONMENTAL RESEARCH 2016; 150:264-268. [PMID: 27340812 DOI: 10.1016/j.envres.2016.06.022] [Citation(s) in RCA: 51] [Impact Index Per Article: 6.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/24/2016] [Revised: 05/26/2016] [Accepted: 06/14/2016] [Indexed: 06/06/2023]
Abstract
BACKGROUND Ambient fine particulate matter (PM2.5) air pollution has been associated with increased airway inflammation, but the roles of various PM2.5 constituents remain to be determined. OBJECTIVES To investigate the acute effects of PM2.5 constituents on fractional exhaled nitric oxide (FeNO), a well-established biomarker of respiratory inflammation. METHODS A longitudinal panel study was performed among 32 healthy young adults in Shanghai, China from January 12th to February 6th, 2015. FeNO was repeatedly measured, 6-8 times per subject. Real-time mass concentration of ambient PM2.5 and chemical constituents were obtained from a nearby monitoring station. Linear mixed-effect models were applied to evaluate the association between FeNO and PM2.5 constituents, with the adjustment of age, gender, body mass index, temperature, relative humidity and day of week. The robustness of constituents' effects was also evaluated. RESULTS A total of 234 effective measurements of FeNO were obtained with a geometric mean of 13.1 ppb. The PM2.5-FeNO associations were strongest at lags of 0-6h and diminished at lags longer than 12h. An interquartile range increase in PM2.5 constituents (NH4(+), NO3(-), K(+), SO4(2-) and elemental carbon) at lags of 0-6h were significantly associated with increments in FeNO by 12.3%, 11.3%, 11.1%, 9.6% and 10.7%, respectively. After controlling for PM2.5 total mass and the colinearity, only elemental carbon remained significant. CONCLUSION Several chemical constituents of PM2.5 may impact FeNO following acute exposure. Elemental carbon in particular may be the primary component responsible for increased airway inflammation.
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Affiliation(s)
- Jingjin Shi
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and Key Lab of Health Technology Assessment of the Ministry of Health, Fudan University, Shanghai 200032, China
| | - Renjie Chen
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and Key Lab of Health Technology Assessment of the Ministry of Health, Fudan University, Shanghai 200032, China; Shanghai Key Laboratory of Atmospheric Particle Pollution and Prevention (LAP3), Fudan University, Shanghai 200032, China
| | - Changyuan Yang
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and Key Lab of Health Technology Assessment of the Ministry of Health, Fudan University, Shanghai 200032, China
| | - Zhijing Lin
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and Key Lab of Health Technology Assessment of the Ministry of Health, Fudan University, Shanghai 200032, China
| | - Jing Cai
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and Key Lab of Health Technology Assessment of the Ministry of Health, Fudan University, Shanghai 200032, China
| | - Yongjie Xia
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and Key Lab of Health Technology Assessment of the Ministry of Health, Fudan University, Shanghai 200032, China
| | - Cuicui Wang
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and Key Lab of Health Technology Assessment of the Ministry of Health, Fudan University, Shanghai 200032, China
| | - Huichu Li
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and Key Lab of Health Technology Assessment of the Ministry of Health, Fudan University, Shanghai 200032, China
| | - Natalie Johnson
- Department of Environment & Occupational Health, Texas A&M School of Public Health, College Station, TX 77843, United States
| | - Xiaohui Xu
- Department of Epidemiology & Biostatistics, Texas A&M School of Public Health, College Station, TX 77843, United States
| | - Zhuohui Zhao
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and Key Lab of Health Technology Assessment of the Ministry of Health, Fudan University, Shanghai 200032, China.
| | - Haidong Kan
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and Key Lab of Health Technology Assessment of the Ministry of Health, Fudan University, Shanghai 200032, China; Shanghai Key Laboratory of Atmospheric Particle Pollution and Prevention (LAP3), Fudan University, Shanghai 200032, China.
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43
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Tasmin S, Ueda K, Stickley A, Yasumoto S, Phung VLH, Oishi M, Yasukouchi S, Uehara Y, Michikawa T, Nitta H. Short-term exposure to ambient particulate matter and emergency ambulance dispatch for acute illness in Japan. THE SCIENCE OF THE TOTAL ENVIRONMENT 2016; 566-567:528-535. [PMID: 27235903 DOI: 10.1016/j.scitotenv.2016.05.054] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/27/2016] [Revised: 05/02/2016] [Accepted: 05/08/2016] [Indexed: 06/05/2023]
Abstract
Short-term exposure to air pollution may be linked to negative health outcomes that require an emergency medical response. However, few studies have been undertaken on this phenomenon to date. The aim of this study therefore was to examine the association between short-term exposure to ambient suspended particulate matter (SPM) and emergency ambulance dispatches (EADs) for acute illness in Japan. Daily EAD data, daily mean SPM and meteorological data were obtained for four prefectures in the Kanto region of Japan for the period from 2007 to 2011. The area-specific association between daily EAD for acute illness and SPM was explored using generalized linear models while controlling for ambient temperature, relative humidity, seasonality, long-term trends, day of the week and public holidays. Stratified analyses were conducted to evaluate the modifying effects of age, sex and medical conditions. Area-specific estimates were combined using meta-analyses. For the total study period the mean level of SPM was 23.7μg/m(3). In general, higher SPM was associated with a significant increase in EAD for acute illness [estimated pooled relative risk (RR): 1.008, 95% CI: 1.007 to 1.010 per 10μg/m(3) increase in SPM at lag 0-1]. The effects of SPM on EAD for acute illness were significantly greater for moderate/mild medical conditions (e.g. cases that resulted in <3weeks hospitalization or no hospitalization) when compared to severe medical conditions (e.g. critical cases, and cases that led to >3weeks hospitalization or which resulted in death). Using EAD data, this study has shown the adverse health effects of ambient air pollution. This highlights the importance of reducing the level of air pollution in order to maintain population health and well-being.
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Affiliation(s)
- Saira Tasmin
- Department of Environmental Engineering, Graduate School Engineering, Kyoto University, Kyoto, Japan.
| | - Kayo Ueda
- Department of Environmental Engineering, Graduate School Engineering, Kyoto University, Kyoto, Japan
| | - Andrew Stickley
- Stockholm Center on Health and Social Change (Scohost), Södertörn University, 141 89 Huddinge, Sweden
| | - Shinya Yasumoto
- Kinugasa Research Organization, Ritsumeikan University, Japan
| | - Vera Ling Hui Phung
- Department of Environmental Engineering, Graduate School Engineering, Kyoto University, Kyoto, Japan
| | - Mizuki Oishi
- Department of Environmental Engineering, Graduate School Engineering, Kyoto University, Kyoto, Japan
| | - Shusuke Yasukouchi
- Department of Environmental Engineering, Graduate School Engineering, Kyoto University, Kyoto, Japan
| | - Yamato Uehara
- Department of Environmental Engineering, Graduate School Engineering, Kyoto University, Kyoto, Japan
| | - Takehiro Michikawa
- Center for Environmental Health Sciences, National Institute for Environmental Studies (NIES), Japan
| | - Hiroshi Nitta
- Center for Environmental Health Sciences, National Institute for Environmental Studies (NIES), Japan
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Ostro B, Malig B, Hasheminassab S, Berger K, Chang E, Sioutas C. Associations of Source-Specific Fine Particulate Matter With Emergency Department Visits in California. Am J Epidemiol 2016; 184:450-9. [PMID: 27605585 DOI: 10.1093/aje/kwv343] [Citation(s) in RCA: 42] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2015] [Accepted: 12/07/2015] [Indexed: 11/13/2022] Open
Abstract
While many studies have investigated the health effects associated with acute exposure to fine particulate matter (particulate matter with an aerodynamic diameter less than or equal to 2.5 μm (PM2.5)), very few have considered the risks of specific sources of PM2.5 We used city-specific source apportionment in 8 major metropolitan areas in California from 2005-2009 to examine the associations of source-specific PM2.5 exposures from vehicular emissions, biomass burning, soil, and secondary nitrate and sulfate sources with emergency department visits (EDVs) for cardiovascular and respiratory diseases, including 7 subclasses. Using a case-crossover analysis, we observed associations of vehicular emissions with all cardiovascular EDVs (excess risk = 1.6%, 95% confidence interval: 0.9, 2.4 for an interquartile-range increment of 2.8 µg/m(3)) and with several subclasses of disease. In addition, vehicular emissions, biomass burning, and soil sources were associated with all respiratory EDVs and with EDVs for asthma. The soil source, which includes resuspended road dust, generated the highest risk estimate for asthma (excess risk = 4.5%, 95% confidence interval: 1.1, 8.0). Overall, our results provide additional evidence of the public health consequences of exposure to specific sources of PM2.5 and indicate that some sources of PM2.5 may pose higher risks than the overall PM2.5 mass.
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Short-term associations between particle oxidative potential and daily mortality and hospital admissions in London. Int J Hyg Environ Health 2016; 219:566-72. [DOI: 10.1016/j.ijheh.2016.06.004] [Citation(s) in RCA: 29] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2016] [Revised: 06/03/2016] [Accepted: 06/03/2016] [Indexed: 11/20/2022]
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Buonocore JJ, Lambert KF, Burtraw D, Sekar S, Driscoll CT. An Analysis of Costs and Health Co-Benefits for a U.S. Power Plant Carbon Standard. PLoS One 2016; 11:e0156308. [PMID: 27270222 PMCID: PMC4896433 DOI: 10.1371/journal.pone.0156308] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2016] [Accepted: 05/12/2016] [Indexed: 11/18/2022] Open
Abstract
Reducing carbon dioxide (CO2) emissions from power plants can have important "co-benefits" for public health by reducing emissions of air pollutants. Here, we examine the costs and health co-benefits, in monetary terms, for a policy that resembles the U.S. Environmental Protection Agency's Clean Power Plan. We then examine the spatial distribution of the co-benefits and costs, and the implications of a range of cost assumptions in the implementation year of 2020. Nationwide, the total health co-benefits were $29 billion 2010 USD (95% CI: $2.3 to $68 billion), and net co-benefits under our central cost case were $12 billion (95% CI: -$15 billion to $51 billion). Net co-benefits for this case in the implementation year were positive in 10 of the 14 regions studied. The results for our central case suggest that all but one region should experience positive net benefits within 5 years after implementation.
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Affiliation(s)
- Jonathan J. Buonocore
- Center for Health and the Global Environment, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, 02215, United States of America
| | - Kathleen F. Lambert
- Harvard Forest, Harvard University, Petersham, Massachusetts, 01366, United States of America
| | - Dallas Burtraw
- Resources for the Future, Washington, District of Columbia, 20036, United States of America
| | - Samantha Sekar
- Resources for the Future, Washington, District of Columbia, 20036, United States of America
| | - Charles T. Driscoll
- Department of Civil and Environmental Engineering, Syracuse University, Syracuse, New York, 13244, United States of America
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47
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Krall JR, Chang HH, Sarnat SE, Peng RD, Waller LA. Current Methods and Challenges for Epidemiological Studies of the Associations Between Chemical Constituents of Particulate Matter and Health. Curr Environ Health Rep 2016; 2:388-98. [PMID: 26386975 DOI: 10.1007/s40572-015-0071-y] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
Epidemiological studies have been critical for estimating associations between exposure to ambient particulate matter (PM) air pollution and adverse health outcomes. Because total PM mass is a temporally and spatially varying mixture of constituents with different physical and chemical properties, recent epidemiological studies have focused on PM constituents. Most studies have estimated associations between PM constituents and health using the same statistical methods as in studies of PM mass. However, these approaches may not be sufficient to address challenges specific to studies of PM constituents, namely assigning exposure, disentangling health effects, and handling measurement error. We reviewed large, population-based epidemiological studies of PM constituents and health and describe the statistical methods typically applied to address these challenges. Development of statistical methods that simultaneously address multiple challenges, for example, both disentangling health effects and handling measurement error, could improve estimation of associations between PM constituents and adverse health outcomes.
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Affiliation(s)
- Jenna R Krall
- Department of Biostatistics and Bioinformatics, Rollins School of Public Health, Emory University, 1518 Clifton Road, Atlanta, GA, 30322, USA.
| | - Howard H Chang
- Department of Biostatistics and Bioinformatics, Rollins School of Public Health, Emory University, 1518 Clifton Road, Atlanta, GA, 30322, USA.
| | - Stefanie Ebelt Sarnat
- Department of Environmental Health, Rollins School of Public Health, Emory University, 1518 Clifton Road, Atlanta, GA, 30322, USA.
| | - Roger D Peng
- Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, 615 N. Wolfe Street, Baltimore, MD, 21205, USA.
| | - Lance A Waller
- Department of Biostatistics and Bioinformatics, Rollins School of Public Health, Emory University, 1518 Clifton Road, Atlanta, GA, 30322, USA.
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48
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Atkinson RW, Analitis A, Samoli E, Fuller GW, Green DC, Mudway IS, Anderson HR, Kelly FJ. Short-term exposure to traffic-related air pollution and daily mortality in London, UK. JOURNAL OF EXPOSURE SCIENCE & ENVIRONMENTAL EPIDEMIOLOGY 2016; 26:125-132. [PMID: 26464095 DOI: 10.1038/jes.201565] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Subscribe] [Scholar Register] [Received: 05/15/2015] [Revised: 07/22/2015] [Accepted: 08/24/2015] [Indexed: 05/22/2023]
Abstract
Epidemiological studies have linked daily concentrations of urban air pollution to mortality, but few have investigated specific traffic sources that can inform abatement policies. We assembled a database of >100 daily, measured and modelled pollutant concentrations characterizing air pollution in London between 2011 and 2012. Based on the analyses of temporal patterns and correlations between the metrics, knowledge of local emission sources and reference to the existing literature, we selected, a priori, markers of traffic pollution: oxides of nitrogen (general traffic); elemental and black carbon (EC/BC) (diesel exhaust); carbon monoxide (petrol exhaust); copper (tyre), zinc (brake) and aluminium (mineral dust). Poisson regression accounting for seasonality and meteorology was used to estimate the percentage change in risk of death associated with an interquartile increment of each pollutant. Associations were generally small with confidence intervals that spanned 0% and tended to be negative for cardiovascular mortality and positive for respiratory mortality. The strongest positive associations were for EC and BC adjusted for particle mass and respiratory mortality, 2.66% (95% confidence interval: 0.11, 5.28) and 2.72% (0.09, 5.42) per 0.8 and 1.0 μg/m(3), respectively. These associations were robust to adjustment for other traffic metrics and regional pollutants, suggesting a degree of specificity with respiratory mortality and diesel exhaust containing EC/BC.
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Affiliation(s)
- Richard W Atkinson
- Population Health Research Institute and MRC-PHE Centre for Environment and Health, St George's, University of London, Cranmer Terrace, London, UK
| | - Antonis Analitis
- Department of Hygiene, Epidemiology and Medical Statistics, Medical School, University of Athens, Athens, Greece
| | - Evangelia Samoli
- Department of Hygiene, Epidemiology and Medical Statistics, Medical School, University of Athens, Athens, Greece
| | - Gary W Fuller
- MRC-PHE Centre for Environment and Health, King's College London, Franklin-Wilkins Building, London, UK
| | - David C Green
- MRC-PHE Centre for Environment and Health, King's College London, Franklin-Wilkins Building, London, UK
| | - Ian S Mudway
- MRC-PHE Centre for Environment and Health, King's College London, Franklin-Wilkins Building, London, UK
| | - Hugh R Anderson
- Population Health Research Institute and MRC-PHE Centre for Environment and Health, St George's, University of London, Cranmer Terrace, London, UK
- MRC-PHE Centre for Environment and Health, King's College London, Franklin-Wilkins Building, London, UK
| | - Frank J Kelly
- MRC-PHE Centre for Environment and Health, King's College London, Franklin-Wilkins Building, London, UK
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49
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Atkinson RW, Analitis A, Samoli E, Fuller GW, Green DC, Mudway IS, Anderson HR, Kelly FJ. Short-term exposure to traffic-related air pollution and daily mortality in London, UK. JOURNAL OF EXPOSURE SCIENCE & ENVIRONMENTAL EPIDEMIOLOGY 2016; 26:125-32. [PMID: 26464095 PMCID: PMC4756269 DOI: 10.1038/jes.2015.65] [Citation(s) in RCA: 28] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/15/2015] [Revised: 07/22/2015] [Accepted: 08/24/2015] [Indexed: 05/20/2023]
Abstract
Epidemiological studies have linked daily concentrations of urban air pollution to mortality, but few have investigated specific traffic sources that can inform abatement policies. We assembled a database of >100 daily, measured and modelled pollutant concentrations characterizing air pollution in London between 2011 and 2012. Based on the analyses of temporal patterns and correlations between the metrics, knowledge of local emission sources and reference to the existing literature, we selected, a priori, markers of traffic pollution: oxides of nitrogen (general traffic); elemental and black carbon (EC/BC) (diesel exhaust); carbon monoxide (petrol exhaust); copper (tyre), zinc (brake) and aluminium (mineral dust). Poisson regression accounting for seasonality and meteorology was used to estimate the percentage change in risk of death associated with an interquartile increment of each pollutant. Associations were generally small with confidence intervals that spanned 0% and tended to be negative for cardiovascular mortality and positive for respiratory mortality. The strongest positive associations were for EC and BC adjusted for particle mass and respiratory mortality, 2.66% (95% confidence interval: 0.11, 5.28) and 2.72% (0.09, 5.42) per 0.8 and 1.0 μg/m(3), respectively. These associations were robust to adjustment for other traffic metrics and regional pollutants, suggesting a degree of specificity with respiratory mortality and diesel exhaust containing EC/BC.
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Affiliation(s)
- Richard W Atkinson
- Population Health Research Institute and MRC-PHE Centre for Environment and Health, St George's, University of London, Cranmer Terrace, London, UK
| | - Antonis Analitis
- Department of Hygiene, Epidemiology and Medical Statistics, Medical School, University of Athens, Athens, Greece
| | - Evangelia Samoli
- Department of Hygiene, Epidemiology and Medical Statistics, Medical School, University of Athens, Athens, Greece
| | - Gary W Fuller
- MRC-PHE Centre for Environment and Health, King's College London, Franklin-Wilkins Building, London, UK
| | - David C Green
- MRC-PHE Centre for Environment and Health, King's College London, Franklin-Wilkins Building, London, UK
| | - Ian S Mudway
- MRC-PHE Centre for Environment and Health, King's College London, Franklin-Wilkins Building, London, UK
| | - Hugh R Anderson
- Population Health Research Institute and MRC-PHE Centre for Environment and Health, St George's, University of London, Cranmer Terrace, London, UK
- MRC-PHE Centre for Environment and Health, King's College London, Franklin-Wilkins Building, London, UK
| | - Frank J Kelly
- MRC-PHE Centre for Environment and Health, King's College London, Franklin-Wilkins Building, London, UK
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Li Y, Henze DK, Jack D, Henderson BH, Kinney PL. Assessing public health burden associated with exposure to ambient black carbon in the United States. THE SCIENCE OF THE TOTAL ENVIRONMENT 2016; 539:515-525. [PMID: 26383853 PMCID: PMC4761114 DOI: 10.1016/j.scitotenv.2015.08.129] [Citation(s) in RCA: 49] [Impact Index Per Article: 6.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/01/2015] [Revised: 08/17/2015] [Accepted: 08/25/2015] [Indexed: 05/21/2023]
Abstract
Black carbon (BC) is a significant component of fine particulate matter (PM2.5) air pollution, which has been linked to a series of adverse health effects, in particular premature mortality. Recent scientific research indicates that BC also plays an important role in climate change. Therefore, controlling black carbon emissions provides an opportunity for a double dividend. This study quantifies the national burden of mortality and morbidity attributable to exposure to ambient BC in the United States (US). We use GEOS-Chem, a global 3-D model of atmospheric composition to estimate the 2010 annual average BC levels at 0.5×0.667° resolution, and then re-grid to 12-km grid resolution across the continental US. Using PM2.5 mortality risk coefficient drawn from the American Cancer Society cohort study, the numbers of deaths due to BC exposure were estimated for each 12-km grid, and then aggregated to the county, state and national level. Given evidence that BC particles may pose a greater risk on human health than other components of PM2.5, we also conducted sensitivity analysis using BC-specific risk coefficients drawn from recent literature. We estimated approximately 14,000 deaths to result from the 2010 BC levels, and hundreds of thousands of illness cases, ranging from hospitalizations and emergency department visits to minor respiratory symptoms. Sensitivity analysis indicates that the total BC-related mortality could be even significantly larger than the above mortality estimate. Our findings indicate that controlling BC emissions would have substantial benefits for public health in the US.
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Affiliation(s)
- Ying Li
- Department of Environmental Health, College of Public Health, East Tennessee State University, Johnson City, TN, USA
| | - Daven K Henze
- Department of Mechanical Engineering, University of Colorado at Boulder, Boulder, CO, USA
| | - Darby Jack
- Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, NY, USA
| | - Barron H Henderson
- Department of Environmental Engineering Sciences, University of Florida, Gainesville, FL, USA
| | - Patrick L Kinney
- Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, NY, USA.
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