101
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Predicting Fine Particulate Matter (PM2.5) in the Greater London Area: An Ensemble Approach using Machine Learning Methods. REMOTE SENSING 2020. [DOI: 10.3390/rs12060914] [Citation(s) in RCA: 29] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Abstract
Estimating air pollution exposure has long been a challenge for environmental health researchers. Technological advances and novel machine learning methods have allowed us to increase the geographic range and accuracy of exposure models, making them a valuable tool in conducting health studies and identifying hotspots of pollution. Here, we have created a prediction model for daily PM2.5 levels in the Greater London area from 1st January 2005 to 31st December 2013 using an ensemble machine learning approach incorporating satellite aerosol optical depth (AOD), land use, and meteorological data. The predictions were made on a 1 km × 1 km scale over 3960 grid cells. The ensemble included predictions from three different machine learners: a random forest (RF), a gradient boosting machine (GBM), and a k-nearest neighbor (KNN) approach. Our ensemble model performed very well, with a ten-fold cross-validated R2 of 0.828. Of the three machine learners, the random forest outperformed the GBM and KNN. Our model was particularly adept at predicting day-to-day changes in PM2.5 levels with an out-of-sample temporal R2 of 0.882. However, its ability to predict spatial variability was weaker, with a R2 of 0.396. We believe this to be due to the smaller spatial variation in pollutant levels in this area.
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102
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Blum MF, Surapaneni A, Stewart JD, Liao D, Yanosky JD, Whitsel EA, Power MC, Grams ME. Particulate Matter and Albuminuria, Glomerular Filtration Rate, and Incident CKD. Clin J Am Soc Nephrol 2020; 15:311-319. [PMID: 32108020 PMCID: PMC7057299 DOI: 10.2215/cjn.08350719] [Citation(s) in RCA: 67] [Impact Index Per Article: 16.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2019] [Accepted: 01/21/2020] [Indexed: 12/31/2022]
Abstract
BACKGROUND AND OBJECTIVES Exposure to particulate matter (PM) <2.5 μm in aerodynamic diameter (PM2.5) has been linked to detrimental health effects. This study aimed to describe the relationship between long-term PM2.5 exposure and kidney disease, including eGFR, level of albuminuria, and incident CKD. DESIGN, SETTING, PARTICIPANTS, & MEASUREMENTS The study included 10,997 participants from the Atherosclerosis Risk in Communities cohort who were followed from 1996-1998 through 2016. Monthly mean PM2.5 concentrations (μg/m3) were estimated at geocoded participant addresses using geographic information system-based, spatiotemporal generalized additive mixed models-including geospatial covariates such as land use-and then averaged over the 12-month period preceding participant examination. Covariate-adjusted, cross-sectional associations of PM2.5, baseline eGFR, and urinary albumin-creatinine ratio (UACR) were estimated using linear regression. PM2.5 and incident CKD (defined as follow-up eGFR <60 ml/min per 1.73 m2 with ≥25% eGFR decline relative to baseline, CKD-related hospitalization or death based on International Classification of Diseases 9/10 codes, or development of ESKD) associations were estimated using Cox proportional hazards regression. Modeling was stratified by study site, and stratum-specific estimates were combined using random-effects meta-analyses. RESULTS Baseline mean participant age was 63 (±6) years and eGFR was 86 (±16) ml/min per 1.73 m2. There was no significant PM2.5-eGFR association at baseline. Each 1-μg/m3 higher annual average PM2.5 was associated with higher UACR after adjusting for demographics, socioeconomic status, and clinical covariates (percentage difference, 6.6%; 95% confidence interval [95% CI], 2.6% to 10.7%). Each 1-μg/m3 higher annual average PM2.5 was associated with a significantly higher risk of incident CKD (hazard ratio, 1.05; 95% CI, 1.01 to 1.10). CONCLUSIONS Exposure to higher annual average PM2.5 concentrations was associated with a higher level of albuminuria and higher risk for incident CKD in a community-based cohort.
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Affiliation(s)
| | - Aditya Surapaneni
- Welch Center for Prevention, Epidemiology and Clinical Research, Johns Hopkins University, Baltimore, Maryland
| | - James D. Stewart
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, North Carolina
| | - Duanping Liao
- Department of Public Health Sciences, Pennsylvania State University College of Medicine, Hershey, Pennsylvania
| | - Jeff D. Yanosky
- Department of Public Health Sciences, Pennsylvania State University College of Medicine, Hershey, Pennsylvania
| | - Eric A. Whitsel
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, North Carolina
- Department of Medicine, School of Medicine, University of North Carolina, Chapel Hill, North Carolina; and
| | - Melinda C. Power
- Department of Epidemiology and Biostatistics, Milken Institute School of Public Health, George Washington University, Washington, DC
| | - Morgan E. Grams
- Division of Nephrology
- Welch Center for Prevention, Epidemiology and Clinical Research, Johns Hopkins University, Baltimore, Maryland
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103
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Dockery DW, Pope CA. The Threat to Air Pollution Health Studies Behind the Environmental Protection Agency's Cloak of Science Transparency. Am J Public Health 2020; 110:286-287. [PMID: 32023100 PMCID: PMC7002955 DOI: 10.2105/ajph.2019.305531] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 12/14/2019] [Indexed: 11/04/2022]
Affiliation(s)
- Douglas W Dockery
- Douglas W. Dockery is with the Departments of Environmental Health and Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA. C. Arden Pope III is with the Department of Economics, Brigham Young University, Provo, UT
| | - C Arden Pope
- Douglas W. Dockery is with the Departments of Environmental Health and Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA. C. Arden Pope III is with the Department of Economics, Brigham Young University, Provo, UT
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104
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Yan R, Ku T, Yue H, Li G, Sang N. PM 2.5 exposure induces age-dependent hepatic lipid metabolism disorder in female mice. J Environ Sci (China) 2020; 89:227-237. [PMID: 31892394 DOI: 10.1016/j.jes.2019.10.014] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2019] [Revised: 10/22/2019] [Accepted: 10/23/2019] [Indexed: 06/10/2023]
Abstract
Particulate matter exposure has been described to elevate the risk of lung and cardiovascular diseases. An increasing number of recent studies have indicated positive correlations between PM2.5 (the fraction of airborne particles with an aerodynamic diameter less than 2.5 μm) exposure and the risk of liver diseases. However, research on the effects of PM2.5 exposure on liver fat synthesis, secretion, and clearance mechanisms under normal diet conditions is limited, and whether these effects are age-dependent is largely unknown. Female C57BL/6 mice at different ages (4 weeks (4 w), 4 months (4 m), and 10 months (10 m)) were treated with 3 mg/kg body weight of PM2.5 every other day for 4 weeks. Subsequently, the ultrastructural changes of liver, the expression of genes involved in oxidative damage and lipid metabolism in the liver were examined. Observation of hepatic ultrastructure showed more and larger lipid droplets in the livers of 4-week-old and 10-month-old mice exposed to PM2.5. Further analysis showed that PM2.5 exposure increased the expression of genes related to lipid synthesis, but decreased the expression of genes involved in lipid transport and catabolism in the livers of 10-month-old mice. Our findings suggest that exposure to PM2.5 disrupts the normal metabolism of liver lipids and induces lipid accumulation in the liver of female mice in an age-dependent manner, with older mice being more susceptible to PM2.5.
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Affiliation(s)
- Ruifeng Yan
- College of Environment and Resource, Research Center of Environment and Health, Shanxi University, Taiyuan, Shanxi 030006, China.
| | - Tingting Ku
- College of Environment and Resource, Research Center of Environment and Health, Shanxi University, Taiyuan, Shanxi 030006, China
| | - Huifeng Yue
- College of Environment and Resource, Research Center of Environment and Health, Shanxi University, Taiyuan, Shanxi 030006, China
| | - Guangke Li
- College of Environment and Resource, Research Center of Environment and Health, Shanxi University, Taiyuan, Shanxi 030006, China.
| | - Nan Sang
- College of Environment and Resource, Research Center of Environment and Health, Shanxi University, Taiyuan, Shanxi 030006, China
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105
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Fischer PH, Marra M, Ameling CB, Velders GJM, Hoogerbrugge R, de Vries W, Wesseling J, Janssen NAH, Houthuijs D. Particulate air pollution from different sources and mortality in 7.5 million adults - The Dutch Environmental Longitudinal Study (DUELS). THE SCIENCE OF THE TOTAL ENVIRONMENT 2020; 705:135778. [PMID: 31972935 DOI: 10.1016/j.scitotenv.2019.135778] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/24/2019] [Revised: 11/20/2019] [Accepted: 11/24/2019] [Indexed: 04/14/2023]
Abstract
BACKGROUND Long-term exposure to particulate air pollution has been associated with mortality in urban cohort studies. Few studies have investigated the association between emission contributions from different particle sources and mortality in large-scale population registries, including non-urban populations. OBJECTIVES The aim of the study was to evaluate the associations between long-term exposure to particulate air pollution from different source categories and non-accidental mortality in the Netherlands based on existing national databases. METHODS We used existing Dutch national databases on mortality, individual characteristics, residence history, neighbourhood characteristics and modelled air pollution concentrations from different sources and air pollution components: particulate matter PM10, primary particulate matter PM10 (PPM10), particulate matter PM2.5, primary particulate matter PM2.5 (PPM2.5), elemental carbon (EC), nitrogen dioxide (NO2) and secondary inorganic aerosol (SIA) in PM10 (SIA10) or in PM2.5 (SIA2.5). We established a cohort of 7.5 million individuals 30 years or older. We followed the cohort for eight years (2008-2015). We applied Cox proportional hazard regression models adjusting for potential individual and area-specific confounders. RESULTS We found statistically significant associations between total and primary particulate matter (PM10 and PM2.5), elemental carbon and mortality. Adjustment for nitrogen dioxide did not change the associations. Secondary inorganic aerosol showed less consistent associations. All primary PM sources were associated with mortality, except agricultural emissions and, depending on the statistical model, industrial PM emissions. CONCLUSIONS We could not identify one or more specific source categories of particulate air pollution as main determinants of the mortality effects found in this and in a previous study. This suggests that present policy measures should be focussed on the wider spectrum of air pollution sources instead of on specific sources.
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Affiliation(s)
- Paul H Fischer
- National Institute for Public Health and the Environment, Bilthoven, the Netherlands.
| | - Marten Marra
- National Institute for Public Health and the Environment, Bilthoven, the Netherlands
| | - Caroline B Ameling
- National Institute for Public Health and the Environment, Bilthoven, the Netherlands
| | - Guus J M Velders
- National Institute for Public Health and the Environment, Bilthoven, the Netherlands; Institute for Marine and Atmospheric Research Utrecht, Utrecht University, the Netherlands
| | - Ronald Hoogerbrugge
- National Institute for Public Health and the Environment, Bilthoven, the Netherlands
| | - Wilco de Vries
- National Institute for Public Health and the Environment, Bilthoven, the Netherlands
| | - Joost Wesseling
- National Institute for Public Health and the Environment, Bilthoven, the Netherlands
| | - Nicole A H Janssen
- National Institute for Public Health and the Environment, Bilthoven, the Netherlands
| | - Danny Houthuijs
- National Institute for Public Health and the Environment, Bilthoven, the Netherlands
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106
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Fineberg HV, Allison DB. The Use and Misuse of Transparency in Research: Science and Rulemaking at the Environmental Protection Agency. JAMA 2020; 323:605-606. [PMID: 31971542 DOI: 10.1001/jama.2019.22026] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/14/2022]
Affiliation(s)
| | - David B Allison
- Indiana University School of Public Health-Bloomington, Bloomington
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107
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Islam N, Dihingia A, Khare P, Saikia BK. Atmospheric particulate matters in an Indian urban area: Health implications from potentially hazardous elements, cytotoxicity, and genotoxicity studies. JOURNAL OF HAZARDOUS MATERIALS 2020; 384:121472. [PMID: 31733994 DOI: 10.1016/j.jhazmat.2019.121472] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/15/2019] [Revised: 10/12/2019] [Accepted: 10/12/2019] [Indexed: 06/10/2023]
Abstract
The nature of the atmospheric particulate matters (PMs) varies depending on their sizes and their origin from different activities in the background environment. These PMs are associated with potentially hazardous elements (PHEs) such as organic compounds (e.g. Polyaromatic Hydrocarbons) that can be harmful to health. The main objective of this work is the identification and investigation of the toxicological aspects of PHEs in PMs during pre-monsoon and post-monsoon season in an urban area of Northeast region (NER) of India. In the course of the study, the 24 -hs average concentrations of PMs were detected to be more than two-times higher than the Indian standard limit (NAAQ, category) which indicates poor air quality in both the seasons around the sampling sites. This study demonstrates that the concentrations of PM-bound PAHs are mutagenic and that the Excess Cancer Risks exceed the USEPA standard limits. PMs cause cytotoxicity and can also induce genotoxicity to human health analyzed by cell culture and gel electrophoresis. This study helps to promote research to evaluate the PMs bound PHEs toxicity in diverse human cell lines and also their relationship with climatic factors as well as quantitative source apportionment for mitigation purposes.
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Affiliation(s)
- Nazrul Islam
- Polymer Petroleum and Coal Chemistry Group, Materials Science and Technology Division, CSIR-North East Institute of Science and Technology, Jorhat, 785006, Assam, India; Academy of Scientific and Innovative Research, CSIR-NEIST Campus, Jorhat, 785006, India
| | - Anjum Dihingia
- Academy of Scientific and Innovative Research, CSIR-NEIST Campus, Jorhat, 785006, India; Biotechnology Group, Biological Science and Technology Division, CSIR-North East Institute of Science and Technology, Jorhat, 785006, Assam, India
| | - Puja Khare
- Agronomy and Soil Science Division, CSIR-Central Institute of Medicinal and Aromatic Plants, Lucknow, 226015, Uttar Pradesh, India
| | - Binoy K Saikia
- Polymer Petroleum and Coal Chemistry Group, Materials Science and Technology Division, CSIR-North East Institute of Science and Technology, Jorhat, 785006, Assam, India; Academy of Scientific and Innovative Research, CSIR-NEIST Campus, Jorhat, 785006, India.
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108
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Lipfert FW, Wyzga RE. Longitudinal relationships between lung cancer mortality rates, smoking, and ambient air quality: a comprehensive review and analysis. Crit Rev Toxicol 2020; 49:790-818. [DOI: 10.1080/10408444.2019.1700210] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
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109
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Air Pollution and Adenocarcinoma in Never-Smokers. J Thorac Oncol 2020; 14:761-763. [PMID: 31027739 DOI: 10.1016/j.jtho.2019.02.007] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2019] [Accepted: 02/08/2019] [Indexed: 11/22/2022]
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110
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Abstract
The quality of the environment is a major determinant of the health and well-being of a population. The role of scientific evidence is central in the network of laws addressing environmental pollution in the United States and has been critical in addressing the myriad sources of environmental pollution and the burden of disease attributable to environmental factors. We address the shift away from reasoned action and science to a reliance on belief and document the efforts to separate regulation from science and to remove science-based regulations and policies intended to protect public health. We outline the general steps for moving from research to policy, show how each has been undermined, offer specific examples, and point to resources that document the enormity of the current efforts to set aside scientific evidence.
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Affiliation(s)
- Jonathan M Samet
- Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, Colorado 80045, USA;
| | - Thomas A Burke
- Department of Health Policy and Management, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland 21205, USA;
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111
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Li T, Chen R, Zhang Y, Fang J, Zhao F, Chen C, Wang J, Du P, Wang Q, Shi W, Han J, Hu X, Kan H, Shi X. Cohort profile: Sub-clinical outcomes of polluted air in China (SCOPA-China cohort). ENVIRONMENT INTERNATIONAL 2020; 134:105221. [PMID: 31711018 DOI: 10.1016/j.envint.2019.105221] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/07/2019] [Accepted: 09/23/2019] [Indexed: 06/10/2023]
Affiliation(s)
- Tiantian Li
- National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, China
| | - Renjie Chen
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Lab of Health Technology Assessment, Fudan University, China
| | - Yi Zhang
- National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, China
| | - Jianlong Fang
- National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, China
| | - Feng Zhao
- National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, China
| | - Chen Chen
- National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, China
| | - Jiaonan Wang
- National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, China
| | - Peng Du
- National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, China
| | - Qiong Wang
- National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, China
| | - Wanying Shi
- National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, China
| | - Jingxiu Han
- National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, China
| | - Xiaojian Hu
- National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, China
| | - Haidong Kan
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Lab of Health Technology Assessment, Fudan University, China.
| | - Xiaoming Shi
- National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, China.
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112
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Guo L, Chen B, Zhang H, Zhang Y. A new approach combining a simplified FLEXPART model and a Bayesian-RAT method for forecasting PM 10 and PM 2.5. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2020; 27:2165-2183. [PMID: 31773536 DOI: 10.1007/s11356-019-06605-w] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/08/2019] [Accepted: 09/24/2019] [Indexed: 06/10/2023]
Abstract
In this study, we evaluated atmospheric particulate matter (PM) concentration predictions at a regional scale using a simplified Lagrangian particle dispersion modeling system and the Bayesian and multiplicative ratio correction optimization (Bayesian-RAT) method to improve the mixing ratio forecast of PM10 and PM2.5. We first examined the forecast performance of the LPD (i.e., the simplified FLEXPART model combined with the Bayesian-RAT method) by comparing the model predictions with the PM concentration observations from 95 observation stations in Xingtai city and its surrounding areas. The first 2 months (i.e., Oct. and Nov. 2017) of the study period represented the typical spin-up time period, and the analysis period was December 2017. The LPD forecast system was much better (correlation coefficient: R=0.64 vs. 0.48 and 0.67 vs. 0.50 for PM10 and PM2.5, respectively; root mean square error: RMSE = 74.98 vs. 105.96 μg/m3 for PM10 and 54.89 vs. 72.81 μg/m3 for PM2.5) than the pre-calibration results. We also compared the LPD forecasting model with other models (WRF-Chem and Camx) using data from monitoring stations in Xingtai, China, and the LPD forecasting model had higher accuracy than the other models. In particular, the RMSE scores for hourly PM10 concentrations were reduced by 36.51% and 42.21% compared to WRF-Chem and to Camx, respectively. The PM2.5 forecast results, as in the case of PM10, showed a better performance when applying the LPD model to the data from the monitoring stations. The RMSE was reduced by 26.44% and 18.47% relative to the WRF-Chem and Camx, respectively. The results confirm that there is much advantage of the LPD forecast system for predicting PM and may be for other pollutants.
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Affiliation(s)
- Lifeng Guo
- State Key Laboratory of Resources and Environment Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, 11A, Datun Road, Chaoyang District, Beijing, 100101, China
- University of Chinese Academy of Sciences, No. 19A, Yuquan Road, Beijing, 100049, China
| | - Baozhang Chen
- State Key Laboratory of Resources and Environment Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, 11A, Datun Road, Chaoyang District, Beijing, 100101, China.
- University of Chinese Academy of Sciences, No. 19A, Yuquan Road, Beijing, 100049, China.
| | - Huifang Zhang
- State Key Laboratory of Resources and Environment Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, 11A, Datun Road, Chaoyang District, Beijing, 100101, China
- University of Chinese Academy of Sciences, No. 19A, Yuquan Road, Beijing, 100049, China
| | - Yanhu Zhang
- Hebei Xingtai Environmental Monitoring Center, No. 998, Park East Street, Qiaoxi District, Xingtai City, 054000, Hebei Province, China
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113
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Chen K, Wang G, Wu L, Chen J, Yuan S, Liu Q, Liu X. PM 2.5 Pollution: Health and Economic Effect Assessment Based on a Recursive Dynamic Computable General Equilibrium Model. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2019; 16:ijerph16245102. [PMID: 31847259 PMCID: PMC6950478 DOI: 10.3390/ijerph16245102] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/30/2019] [Revised: 12/12/2019] [Accepted: 12/12/2019] [Indexed: 11/16/2022]
Abstract
At present particulate matter (PM2.5) pollution represents a serious threat to the public health and the national economic system in China. This paper optimizes the whitening coefficient in a grey Markov model by a genetic algorithm, predicts the concentration of fine particulate matter (PM2.5), and then quantifies the health effects of PM2.5 pollution by utilizing the predicted concentration, computable general equilibrium (CGE), and a carefully designed exposure-response model. Further, the authors establish a social accounting matrix (SAM), calibrate the parameter values in the CGE model, and construct a recursive dynamic CGE model under closed economy conditions to assess the long-term economic losses incurred by PM2.5 pollution. Subsequently, an empirical analysis was conducted for the Beijing area: Despite the reduced concentration trend, PM2.5 pollution continued to cause serious damage to human health and the economic system from 2013 to 2020, as illustrated by various facts, including: (1) the estimated premature deaths and individuals suffering haze pollution-related diseases are 156,588 (95% confidence intervals (CI): 43,335-248,914)) and six million, respectively; and (2) the accumulated labor loss and the medical expenditure negatively impact the regional gross domestic product, with an estimated loss of 3062.63 (95% CI: 1,168.77-4671.13) million RMB. These findings can provide useful information for governmental agencies to formulate relevant environmental policies and for communities to promote prevention and rescue strategies.
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Affiliation(s)
- Keyao Chen
- National Climate Center, China Meteorological Administration, Beijing 100081, China;
| | - Guizhi Wang
- School of Mathematics and Statistics, Nanjing University of Information Science & Technology, Nanjing 210044, China; (L.W.); (J.C.); (S.Y.)
- Correspondence: ; Tel.: +86-025-5873-1160
| | - Lingyan Wu
- School of Mathematics and Statistics, Nanjing University of Information Science & Technology, Nanjing 210044, China; (L.W.); (J.C.); (S.Y.)
| | - Jibo Chen
- School of Mathematics and Statistics, Nanjing University of Information Science & Technology, Nanjing 210044, China; (L.W.); (J.C.); (S.Y.)
| | - Shuai Yuan
- School of Mathematics and Statistics, Nanjing University of Information Science & Technology, Nanjing 210044, China; (L.W.); (J.C.); (S.Y.)
| | - Qi Liu
- Shandong Beiming Medical Technology Ltd., Jinan 250000, China;
| | - Xiaodong Liu
- School of Computing, Edinburgh Napier University, Edinburgh EH10 5DT, UK;
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114
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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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115
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Al-Hemoud A, Gasana J, Al-Dabbous A, Alajeel A, Al-Shatti A, Behbehani W, Malak M. Exposure levels of air pollution (PM 2.5) and associated health risk in Kuwait. ENVIRONMENTAL RESEARCH 2019; 179:108730. [PMID: 31550597 DOI: 10.1016/j.envres.2019.108730] [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: 06/26/2019] [Revised: 08/28/2019] [Accepted: 09/05/2019] [Indexed: 06/10/2023]
Abstract
It is well established that respiratory and cardiovascular mortality and morbidity rates are associated with poor air quality as measured by high concentrations of fine particulate matter such as PM2.5 parameters. Since such information is lacking for the State of Kuwait, this study examined the exposure levels of PM2.5 and the associated health risk as evaluated by five mortality measures embodied in ischemic heart disease, stroke, lung cancer, chronic obstructive pulmonary disease and acute lower respiratory infection as well as two morbidity outcomes related to both cardiovascular and respiratory diseases. The measurement models utilized in this investigation followed the WHO guidelines. Over a span of a four-year period (2014-2017), the annual PM2.5 concentration levels ranged from 38.0 μg/m3 to 75.2 μg/m3. In general, exposure levels tended to fluctuate throughout the day with the higher levels recorded during rush hours (early morning and early evening), weekends (particularly Saturdays), and summer (i.e., August and September). The highest number of excess cases and attributable proportions of premature mortalities were related to ischemic heart disease and stroke at 352 (95% CI 275-426) and 70.8% (95% CI 39.7-85.2), respectively. In general, respiratory diseases showed a higher number of excess cases and attributable proportions than cardiovascular diseases. Relative to other findings on the global stage, the results emanating from Kuwait are emerging on the higher side. The study outcomes suggest that control strategies are in dire need to bend the pollution levels in Kuwait.
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Affiliation(s)
- Ali Al-Hemoud
- Environment and Life Sciences Research Center, Kuwait Institute for Scientific Research, P.O. Box 24885, 13109, Safat, Kuwait.
| | - Janvier Gasana
- Faculty of Public Health, Kuwait University, P.O. Box 24923, 13110, Safat, Kuwait
| | - Abdullah Al-Dabbous
- Environment and Life Sciences Research Center, Kuwait Institute for Scientific Research, P.O. Box 24885, 13109, Safat, Kuwait
| | | | | | - Weam Behbehani
- Techno-Economics Division, Kuwait Institute for Scientific Research, P.O. Box 24885, 13109, Safat, Kuwait
| | - Mariam Malak
- Environment and Life Sciences Research Center, Kuwait Institute for Scientific Research, P.O. Box 24885, 13109, Safat, Kuwait
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Scerri MM, Genga A, Iacobellis S, Delmaire G, Giove A, Siciliano M, Siciliano T, Weinbruch S. Investigating the plausibility of a PMF source apportionment solution derived using a small dataset: A case study from a receptor in a rural site in Apulia - South East Italy. CHEMOSPHERE 2019; 236:124376. [PMID: 31545188 DOI: 10.1016/j.chemosphere.2019.124376] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/14/2019] [Revised: 07/10/2019] [Accepted: 07/14/2019] [Indexed: 06/10/2023]
Abstract
Results of a methodological study on the use of Positive Matrix Factorization (PMF) with smaller datasets are being reported in this work. This study is based on 29 PM10 and 33 PM2.5 samples from a receptor in a rural setup in Apulia (Southern Italy). Running PMF on the two size fractions separately resulted in the model not functioning correctly. We therefore, augmented the size of the dataset by aggregating the PM10 and PM2.5 data. The 5-factor solution obtained for the aggregated data was fairly rotationally stable, and was further refined by the rotational tools included in USEPA PMF version 5. These refinements include the imposition of constraints on the solution, based on our knowledge of the chemical composition of the aerosol sources affecting the receptor. Additionally, the uncertainties associated with this solution were fully characterised using the improved error estimation techniques in this version of PMF. Five factors in all, were isolated by PMF: ammonium sulfate, marine aerosol, mixed carbonaceous aerosol, crustal/Saharan dust and total traffic. The results obtained by PMF were further tested inter alia, by comparing them to those obtained by two other receptor modelling techniques: Constrained Weighted Non-negative Matrix Factorization (CW - NMF) and Chemical Mass Balance (CMB). The results of these tests suggest that the solution obtained by PMF, is valid, indicating that for this particular airshed PMF managed to extract most of the information about the aerosol sources affecting the receptor - even from a dataset with a limited number of samples.
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Affiliation(s)
- Mark M Scerri
- Institute of Applied Geosciences, Technical University Darmstadt, Darmstadt, Germany; Institute of Earth Systems, University of Malta, Msida, Malta.
| | - Alessandra Genga
- Dipartimento di Scienze e Technologie Biologiche ed Ambientali, Università del Salento, 73100, Lecce, Puglia, Italy.
| | - Silvana Iacobellis
- Italy Health, Safety, Environment & Quality Generation Italy ENEL, Via Arno 44, 00198, Rome, Italy
| | - Gilles Delmaire
- Laboratoire d'Informatique Signal et Image de la Côte d'Opale (LISIC), Université du Littoral Côte d'Opale, F - 62228, Calais, France
| | - Aldo Giove
- Generation Italy, Engineering & Construction ENEL, c/o Centrale Federico II, Litoranea Salentina Brindisi, Casalabate, Località Cerano, Tuturano, 72020, Brindisi, Italy
| | - Maria Siciliano
- Dipartimento di Scienze e Technologie Biologiche ed Ambientali, Università del Salento, 73100, Lecce, Puglia, Italy
| | - Tiziana Siciliano
- Dipartimento di Matematica e Fisica, Università del Salento, 73100, Lecce, Puglia, Italy
| | - Stephan Weinbruch
- Institute of Applied Geosciences, Technical University Darmstadt, Darmstadt, Germany
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117
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Iarocci G, Cocchiara RA, Sestili C, Del Cimmuto A, La Torre G. Variation of atmospheric emissions within the road transport sector in Italy between 1990 and 2016. THE SCIENCE OF THE TOTAL ENVIRONMENT 2019; 692:1276-1281. [PMID: 31539959 DOI: 10.1016/j.scitotenv.2019.07.304] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/29/2019] [Revised: 07/08/2019] [Accepted: 07/19/2019] [Indexed: 06/10/2023]
Abstract
The concentration of road transport emissions impacts on air quality, is responsible for climate change and increases the average temperatures. The aim of this study was to analyze the trends of atmospheric emissions within the road transport sector in Italy between 1990 and 2016. A principal component analysis (PCA) was carried out to investigate the pollutants that showed similar trends over time. The Kendall's rank correlation coefficient was studied to establish the statistically dependent variables. Finally, a joinpoint regression analysis was performed to evaluate the time-trends of pollutants' emissions. The Pearson's correlation coefficients were positive for all pollutants except for CO2, that demonstrated an inverse relationship with CH4 (-0.07), NOx (-0.089) and NMVOC (-0.128); NO2 demonstrated inverse relationship with all other pollutants. According to the main component analysis, most pollutants were assimilable in their behavior, except for NO2, CO2 and N2O. The joinpoint analysis describes a general decrease of emissions over time with exception of N2O, NO2 and CO2, that showed different trends. This study shows that road traffic-related emissions in Italy, between 1990 and 2016, recorded significant reductions for most of the recorded pollutants. However, CO2 and N2O maintained a stable trend while NO2 showed an increasing trend.
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Affiliation(s)
- Gianluca Iarocci
- Department for Environmental Assessment, Monitoring and Sustainability, Institute for Environmental Protection and Research, Rome 00144, Italy
| | | | - Cristina Sestili
- Department of Public Health and Infectious Diseases, Sapienza University, Rome 00185, Italy
| | - Angela Del Cimmuto
- Department of Public Health and Infectious Diseases, Sapienza University, Rome 00185, Italy
| | - Giuseppe La Torre
- Department of Public Health and Infectious Diseases, Sapienza University, Rome 00185, Italy
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118
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Gibbs JL, Dallon BW, Lewis JB, Walton CM, Arroyo JA, Reynolds PR, Bikman BT. Diesel Exhaust Particle Exposure Compromises Alveolar Macrophage Mitochondrial Bioenergetics. Int J Mol Sci 2019; 20:ijms20225598. [PMID: 31717476 PMCID: PMC6888061 DOI: 10.3390/ijms20225598] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2019] [Revised: 10/29/2019] [Accepted: 11/06/2019] [Indexed: 12/15/2022] Open
Abstract
Diesel exhaust particles (DEPs) are known pathogenic pollutants that constitute a significant quantity of air pollution. Given the ubiquitous presence of macrophages throughout the body, including the lungs, as well as their critical role in tissue and organismal metabolic function, we sought to determine the effect of DEP exposure on macrophage mitochondrial function. Following daily DEP exposure in mice, pulmonary macrophages were isolated for mitochondrial analyses, revealing reduced respiration rates and dramatically elevated H2O2 levels. Serum ceramides and inflammatory cytokines were increased. To determine the degree to which the changes in mitochondrial function in macrophages were not dependent on any cross-cell communication, primary pulmonary murine macrophages were used to replicate the DEP exposure in a cell culture model. We observed similar changes as seen in pulmonary macrophages, namely diminished mitochondrial respiration, but increased H2O2 production. Interestingly, when treated with myriocin to inhibit ceramide biosynthesis, these DEP-induced mitochondrial changes were mitigated. Altogether, these data suggest that DEP exposure may compromise macrophage mitochondrial and whole-body function via pathologic alterations in macrophage ceramide metabolism.
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Affiliation(s)
- Jonathan L. Gibbs
- Metabolism Research Lab, Department of Physiology and Developmental Biology, Brigham Young University, Provo, UT 84602, USA
| | - Blake W. Dallon
- Metabolism Research Lab, Department of Physiology and Developmental Biology, Brigham Young University, Provo, UT 84602, USA
| | - Joshua B. Lewis
- Lung and Placental Research Lab, Department of Physiology and Developmental Biology, Brigham Young University, Provo, UT 84602, USA
| | - Chase M. Walton
- Metabolism Research Lab, Department of Physiology and Developmental Biology, Brigham Young University, Provo, UT 84602, USA
| | - Juan A. Arroyo
- Lung and Placental Research Lab, Department of Physiology and Developmental Biology, Brigham Young University, Provo, UT 84602, USA
| | - Paul R. Reynolds
- Lung and Placental Research Lab, Department of Physiology and Developmental Biology, Brigham Young University, Provo, UT 84602, USA
| | - Benjamin T. Bikman
- Metabolism Research Lab, Department of Physiology and Developmental Biology, Brigham Young University, Provo, UT 84602, USA
- Correspondence:
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119
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Mannucci PM, Harari S, Franchini M. Novel evidence for a greater burden of ambient air pollution on cardiovascular disease. Haematologica 2019; 104:2349-2357. [PMID: 31672903 PMCID: PMC6959193 DOI: 10.3324/haematol.2019.225086] [Citation(s) in RCA: 68] [Impact Index Per Article: 13.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2019] [Accepted: 06/19/2019] [Indexed: 12/18/2022] Open
Abstract
Ambient and household air pollution is a major health problem worldwide, contributing annually to approximately seven million of all-cause avoidable deaths, shorter life expectancy, and significant direct and indirect costs for the community. Air pollution is a complex mixture of gaseous and particulate materials that vary depending on their source and physicochemical features. Each material has detrimental effects on human health, but a number of experimental and clinical studies have shown a strong impact for fine particulate matter (PM2.5). In particular, there is more and more evidence that PM2.5 exerts adverse effects particularly on the cardiovascular system, contributing substantially (mainly through mechanisms of atherosclerosis, thrombosis and inflammation) to coronary artery and cerebrovascular disease, but also to heart failure, hypertension, diabetes and cardiac arrhythmias. In this review, we summarize knowledge on the mechanisms and magnitude of the cardiovascular adverse effects of short-and long-term exposure to ambient air pollution, particularly for the PM2.5 size fraction. We also emphasize that very recent data indicate that the global mortality and morbidity burden of cardiovascular disease associated with this air pollutant is dramatically greater than what has been thought up to now.
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Affiliation(s)
| | - Sergio Harari
- Department of Pneumology and Semi-Intensive Care Unit, Department of Respiratory Physiopathology and Pulmonary Hemodynamics, Ospedale San Giuseppe MultiMedica, Milan and
| | - Massimo Franchini
- Department of Haematology and Transfusion Medicine, "Carlo Poma" Hospital, Mantua, Italy
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120
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Pinkerton KE, Chen CY, Mack SM, Upadhyay P, Wu CW, Yuan W. Cardiopulmonary Health Effects of Airborne Particulate Matter: Correlating Animal Toxicology to Human Epidemiology. Toxicol Pathol 2019; 47:954-961. [PMID: 31645209 DOI: 10.1177/0192623319879091] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
The effects of particulate matter (PM) on cardiopulmonary health have been studied extensively over the past three decades. Particulate matter is the primary criteria air pollutant most commonly associated with adverse health effects on the cardiovascular and respiratory systems. The mechanisms by which PM exerts its effects are thought to be due to a variety of factors which may include, but are not limited to, concentration, duration of exposure, and age of exposed persons. Adverse effects of PM are strongly driven by their physicochemical properties, sites of deposition, and interactions with cells of the respiratory and cardiovascular systems. The direct translocation of particles, as well as neural and local inflammatory events, are primary drivers for the observed cardiopulmonary health effects. In this review, toxicological studies in animals, and clinical and epidemiological studies in humans are examined to demonstrate the importance of using all three approaches to better define potential mechanisms driving health outcomes upon exposure to airborne PM of diverse physicochemical compositions.
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Affiliation(s)
- Kent E Pinkerton
- Center for Health and the Environment, University of California, Davis, USA
| | - Chao-Yin Chen
- Department of Pharmacology, University of California, Davis, USA
| | - Savannah M Mack
- Center for Health and the Environment, University of California, Davis, USA
| | - Priya Upadhyay
- Center for Health and the Environment, University of California, Davis, USA
| | - Ching-Wen Wu
- Center for Health and the Environment, University of California, Davis, USA
| | - Wanjun Yuan
- Center for Health and the Environment, University of California, Davis, USA.,College of Environmental & Resource Sciences, Shanxi University, Taiyuan, Shanxi, China
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121
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Nabizadeh R, Yousefian F, Moghadam VK, Hadei M. Characteristics of cohort studies of long-term exposure to PM 2.5: a systematic review. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2019; 26:30755-30771. [PMID: 31494855 DOI: 10.1007/s11356-019-06382-6] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/07/2018] [Accepted: 08/29/2019] [Indexed: 06/10/2023]
Abstract
This study systematically reviewed all the cohort studies investigating the relationship between long-term exposure to PM2.5 and any health outcome until February 2018. We searched ISI Web of Knowledge, Pubmed, and Scopus databases for peer-reviewed journal research articles published in English. We only extracted the results of the single-pollutant main analysis of each study, excluding the effect modifications and sensitivity analyses. Out of the initial 9523 articles, 203 articles were ultimately included for analysis. Based on the different characteristics of studies such as study design, outcome, exposure assessment method, and statistical model, we calculated the number and relative frequency of analyses with statistically significant and insignificant results. Most of the studies were prospective (84.8%), assessed both genders (66.5%), and focused on a specific age range (86.8%). Most of the articles (78.1%) had used modeling techniques for exposure assessment of cohorts' participants. Among the total of 317 health outcomes, the most investigated outcomes include mortality due to cardiovascular disease (6.19%), all causes (5.48%), lung cancer (4.00%), ischemic heart disease (3.50%), and non-accidental causes (3.50%). The percentage of analyses with statistically significant results were higher among studies that used prospective design, mortality as the outcome, fixed stations as exposure assessment method, hazard ratio as risk measure, and no covariate adjustment. We can somehow conclude that the choice of right characteristics for cohort studies can make a difference in their results.
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Affiliation(s)
- Ramin Nabizadeh
- Department of Environmental Health Engineering, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran
- Center for Air Pollution Research (CAPR), Institute for Environmental Research (IER), Tehran University of Medical Sciences, Tehran, Iran
| | - Fatemeh Yousefian
- Department of Environmental Health Engineering, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran
| | - Vahid Kazemi Moghadam
- Department of Environmental Health Engineering, Neyshabur University of Medical Sciences, Neyshabur, Iran
| | - Mostafa Hadei
- Department of Environmental Health Engineering, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran.
- Students' Scientific Research Center (SSRC), Tehran University of Medical Sciences, Tehran, Iran.
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122
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Horne BD, Joy EA, Hofmann MG, Gesteland PH, Cannon JB, Lefler JS, Blagev DP, Korgenski EK, Torosyan N, Hansen GI, Kartchner D, Pope CA. Short-Term Elevation of Fine Particulate Matter Air Pollution and Acute Lower Respiratory Infection. Am J Respir Crit Care Med 2019; 198:759-766. [PMID: 29652174 DOI: 10.1164/rccm.201709-1883oc] [Citation(s) in RCA: 212] [Impact Index Per Article: 42.4] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Abstract
RATIONALE Nearly 60% of U.S. children live in counties with particulate matter less than or equal to 2.5 μm in aerodynamic diameter (PM2.5) concentrations above air quality standards. Understanding the relationship between ambient air pollution exposure and health outcomes informs actions to reduce exposure and disease risk. OBJECTIVES To evaluate the association between ambient PM2.5 levels and healthcare encounters for acute lower respiratory infection (ALRI). METHODS Using an observational case-crossover design, subjects (n = 146,397) were studied if they had an ALRI diagnosis and resided on Utah's Wasatch Front. PM2.5 air pollution concentrations were measured using community-based air quality monitors between 1999 and 2016. Odds ratios for ALRI healthcare encounters were calculated after stratification by ages 0-2, 3-17, and 18 or more years. MEASUREMENTS AND MAIN RESULTS Approximately 77% (n = 112,467) of subjects were 0-2 years of age. The odds of ALRI encounter for these young children increased within 1 week of elevated PM2.5 and peaked after 3 weeks with a cumulative 28-day odds ratio of 1.15 per +10 μg/m3 (95% confidence interval, 1.12-1.19). ALRI encounters with diagnosed and laboratory-confirmed respiratory syncytial virus and influenza increased following elevated ambient PM2.5 levels. Similar elevated odds for ALRI were also observed for older children, although the number of events and precision of estimates were much lower. CONCLUSIONS In this large sample of urban/suburban patients, short-term exposure to elevated PM2.5 air pollution was associated with greater healthcare use for ALRI in young children, older children, and adults. Further exploration is needed of causal interactions between PM2.5 and ALRI.
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Affiliation(s)
- Benjamin D Horne
- 1 Intermountain Medical Center Heart Institute, Salt Lake City, Utah.,2 Department of Biomedical Informatics
| | - Elizabeth A Joy
- 4 Department of Family and Preventive Medicine and.,3 Community Health & Food and Nutrition
| | - Michelle G Hofmann
- 6 Department of Pediatrics, University of Utah, Salt Lake City, Utah.,5 Primary Children's Hospital, Salt Lake City, Utah; and
| | - Per H Gesteland
- 2 Department of Biomedical Informatics.,6 Department of Pediatrics, University of Utah, Salt Lake City, Utah.,5 Primary Children's Hospital, Salt Lake City, Utah; and
| | | | | | - Denitza P Blagev
- 8 Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine
| | | | | | - Grant I Hansen
- 10 Business Intelligence, Intermountain Healthcare, Salt Lake City, Utah
| | - David Kartchner
- 9 Population Health, and.,11 Department of Mathematics, Brigham Young University, Provo, Utah
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123
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A Review of Early Injection Strategy in Premixed Combustion Engines. APPLIED SCIENCES-BASEL 2019. [DOI: 10.3390/app9183737] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
Due to the increasing awareness of environmental protection, limitations on exhaust emissions of diesel engines have become increasingly stringent. This challenges diesel engine manufacturers to find a new balance between engine performance and emissions. Advanced combustion modes for diesel engines, such as homogeneous charge compression ignition (HCCI) and premixed charge compression ignition (PCCI), which can simultaneously reduce exhaust emissions and substantially improve thermal efficiency, have drawn increasing attention. In order to allow enough time to prepare the homogeneous mixture, the early injection strategy has been utilized widely in HCCI and PCCI diesel engines. This paper is aimed at providing a comprehensive review of the effects of early injection parameters on the performance and emissions of HCCI and PCCI engines fueled by both diesel and alternative fuels. Various early injection parameters, including injection pressure, injection timing, and injection angle, are discussed. In addition, the effect of the blending ratio of alternative fuels is also summarized. Every change in parameters has its own advantages and disadvantages, which are explained in detail in order to help researchers choose the best early injection parameters for HCCI and PCCI engines.
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124
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Lui KH, Jones T, BéruBé K, Ho SSH, Yim SHL, Cao JJ, Lee SC, Tian L, Min DW, Ho KF. The effects of particle-induced oxidative damage from exposure to airborne fine particulate matter components in the vicinity of landfill sites on Hong Kong. CHEMOSPHERE 2019; 230:578-586. [PMID: 31125886 DOI: 10.1016/j.chemosphere.2019.05.079] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/21/2019] [Revised: 05/08/2019] [Accepted: 05/11/2019] [Indexed: 06/09/2023]
Abstract
The physical, chemical and bioreactivity characteristics of fine particulate matter (PM2.5) collected near (<1 km) two landfill sites and downwind urban sites were investigated. The PM2.5 concentrations were significantly higher in winter than summer. Diurnal variations of PM2.5 were recorded at both landfill sites. Soot aggregate particles were identified near the landfill sites, which indicated that combustion pollution due to landfill activities was a significant source. High correlation coefficients (r) implied several inorganic elements and water-soluble inorganic ions (vanadium (V), copper (Cu), chloride (Cl-), nitrate (NO3-), sodium (Na) and potassium (K)) were positively associated with wind flow from the landfill sites. Nevertheless, no significant correlations were also identified between these components against DNA damage. Significant associations were observed between DNA damage and some heavy metals such as cadmium (Cd) and lead (Pb), and total Polycyclic Aromatic Hydrocarbons (PAHs) during the summer. The insignificant associations of DNA damage under increased wind frequency from landfills suggested that the PM2.5 loading from sources such as regional sources was possibly an important contributing factor for DNA damage. This outcome warrants the further development of effective and source-specific landfill management regulations for particulate matter production control to the city.
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Affiliation(s)
- K H Lui
- The Jockey Club School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong, China; Division of Environmental Science and Engineering, Pohang University of Science and Technology (POSTECH), Pohang 37673, South Korea
| | - Tim Jones
- School of Earth and Ocean Sciences, Cardiff University, Park Place, Cardiff, UK
| | - Kelly BéruBé
- School of Biosciences, Cardiff University, Museum Avenue, Cardiff, UK
| | - Steven Sai Hang Ho
- Key Division of Atmospheric Sciences, Desert Research Institute, Reno, NV 89512, USA
| | - S H L Yim
- Department of Geography and Resource Management, The Chinese University of Hong Kong, Hong Kong, China; Stanley Ho Big Data Decision Analytics Research Centre, The Chinese University of Hong Kong, Shatin, N.T., Hong Kong, China
| | - Jun-Ji Cao
- Key Division of Atmospheric Sciences, Desert Research Institute, Reno, NV 89512, USA; Institute of Global Environmental Change, Xi'an Jiaotong University, Xi'an, China
| | - S C Lee
- Department of Civil and Structural Engineering, Research Center of Urban Environmental Technology and Management, The Hong Kong Polytechnic University, Hong Kong, China
| | - Linwei Tian
- School of Public Health, The University of Hong Kong, Hong Kong, China
| | - Dae Wi Min
- Division of Environmental Science and Engineering, Pohang University of Science and Technology (POSTECH), Pohang 37673, South Korea
| | - K F Ho
- The Jockey Club School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong, China.
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125
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Danesh Yazdi M, Wang Y, Di Q, Zanobetti A, Schwartz J. Long-term exposure to PM 2.5 and ozone and hospital admissions of Medicare participants in the Southeast USA. ENVIRONMENT INTERNATIONAL 2019; 130:104879. [PMID: 31238267 DOI: 10.1016/j.envlnt.2019.05.073] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Subscribe] [Scholar Register] [Received: 01/03/2019] [Revised: 04/19/2019] [Accepted: 05/28/2019] [Indexed: 05/24/2023]
Abstract
We examined the association between average annual fine particulate matter (PM2.5) and ozone and first hospital admissions of Medicare participants for stroke, chronic obstructive pulmonary disease (COPD), pneumonia, myocardial infarction (MI), lung cancer, and heart failure (HF). Annual average PM2.5 and ozone levels were estimated using high-resolution spatio-temporal models. We fit a marginal structural Cox proportional hazards model, using stabilized inverse probability weights (IPWs) to account for the competing risk of death and confounding. Analyses were then repeated after restricting to exposure levels below the current U.S. standards. The results showed that PM2.5 was significantly associated with an increased hazard of admissions for all studied outcomes; the highest observed being a 6.1% (95% CI: 5.9%-6.2%) increase in the hazard of admissions with pneumonia for each μg/m3 increase in particulate levels. Ozone was also significantly associated with an increase in the risk of first hospital admissions of all outcomes. The hazard of pneumonia increased by 3.0% (95% CI: 2.9%-3.1%) for each ppb increase in the ozone level. Our results reveal a need to regulate long-term ozone exposure, and that associations persist below current PM2.5 standards.
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Affiliation(s)
- Mahdieh Danesh Yazdi
- Department of Environmental Health, Harvard TH Chan School of Public Health, Boston, MA.
| | - Yan Wang
- Department of Environmental Health, Harvard TH Chan School of Public Health, Boston, MA; Department of Biostatistics, Harvard TH Chan School of Public Health, Boston, MA
| | - Qian Di
- Department of Environmental Health, Harvard TH Chan School of Public Health, Boston, MA; Department of Epidemiology, Harvard TH Chan School of Public Health, Boston, MA
| | - Antonella Zanobetti
- Department of Environmental Health, Harvard TH Chan School of Public Health, Boston, MA
| | - Joel Schwartz
- Department of Environmental Health, Harvard TH Chan School of Public Health, Boston, MA; Department of Epidemiology, Harvard TH Chan School of Public Health, Boston, MA
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126
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Danesh Yazdi M, Wang Y, Di Q, Zanobetti A, Schwartz J. Long-term exposure to PM 2.5 and ozone and hospital admissions of Medicare participants in the Southeast USA. ENVIRONMENT INTERNATIONAL 2019; 130:104879. [PMID: 31238267 PMCID: PMC7751740 DOI: 10.1016/j.envint.2019.05.073] [Citation(s) in RCA: 78] [Impact Index Per Article: 15.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/03/2019] [Revised: 04/19/2019] [Accepted: 05/28/2019] [Indexed: 05/19/2023]
Abstract
We examined the association between average annual fine particulate matter (PM2.5) and ozone and first hospital admissions of Medicare participants for stroke, chronic obstructive pulmonary disease (COPD), pneumonia, myocardial infarction (MI), lung cancer, and heart failure (HF). Annual average PM2.5 and ozone levels were estimated using high-resolution spatio-temporal models. We fit a marginal structural Cox proportional hazards model, using stabilized inverse probability weights (IPWs) to account for the competing risk of death and confounding. Analyses were then repeated after restricting to exposure levels below the current U.S. standards. The results showed that PM2.5 was significantly associated with an increased hazard of admissions for all studied outcomes; the highest observed being a 6.1% (95% CI: 5.9%-6.2%) increase in the hazard of admissions with pneumonia for each μg/m3 increase in particulate levels. Ozone was also significantly associated with an increase in the risk of first hospital admissions of all outcomes. The hazard of pneumonia increased by 3.0% (95% CI: 2.9%-3.1%) for each ppb increase in the ozone level. Our results reveal a need to regulate long-term ozone exposure, and that associations persist below current PM2.5 standards.
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Affiliation(s)
- Mahdieh Danesh Yazdi
- Department of Environmental Health, Harvard TH Chan School of Public Health, Boston, MA.
| | - Yan Wang
- Department of Environmental Health, Harvard TH Chan School of Public Health, Boston, MA; Department of Biostatistics, Harvard TH Chan School of Public Health, Boston, MA
| | - Qian Di
- Department of Environmental Health, Harvard TH Chan School of Public Health, Boston, MA; Department of Epidemiology, Harvard TH Chan School of Public Health, Boston, MA
| | - Antonella Zanobetti
- Department of Environmental Health, Harvard TH Chan School of Public Health, Boston, MA
| | - Joel Schwartz
- Department of Environmental Health, Harvard TH Chan School of Public Health, Boston, MA; Department of Epidemiology, Harvard TH Chan School of Public Health, Boston, MA
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Chen CC, Chen PS, Yang CY. Relationship between fine particulate air pollution exposure and human adult life expectancy in Taiwan. JOURNAL OF TOXICOLOGY AND ENVIRONMENTAL HEALTH. PART A 2019; 82:826-832. [PMID: 31438783 DOI: 10.1080/15287394.2019.1658386] [Citation(s) in RCA: 20] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/10/2023]
Abstract
Among the air pollutants, particulate matter with an aerodynamic diameter less than 2.5 um (PM2.5) is of particular interest to environmental medicine as epidemiologic studies consistently reported that long-term exposure to PM2.5 is associated with increased risk of premature death in adults. Life expectancy is a well-documented and important measure of overall public health policy. However, few investigators examined the relationship between PM2.5 levels and adult life expectancy. In this Taiwan-wide study, county-level annual mean PM2.5 concentrations data were collected concomitantly with potential confounding variables including demographic and socioeconomic status, as well as smoking prevalence. Subsequently, these PM2.5 data were analyzed with respect to county-level adult life expectancy data for the period 2010 to 2017. Linear regression was used to determine the relationship between PM2.5 and life expectancy in adults. Residents residing in the counties characterized as containing higher levels of PM2.5 exhibited significantly reduced life expectancy after controlling for potential confounders. For each 10 ug/m3 increase in PM2.5 there was an estimated mean decrease in life expectancy in adults of 0.3 years. The results of this study shed light on the relationship between fine particulate air pollution exposure and risk to human health in Taiwan.
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Affiliation(s)
- Chih-Cheng Chen
- Department of Pediatrics, College of Medicine , Kaohsiung , Taiwan
- Chang-Gung Memorial Hospital and Chang-Gung University , Kaohsiung , Taiwan
| | - Pei-Shih Chen
- Department of Public Health, College of Health Sciences, Kaohsiung Medical University , Kaohsiung , Taiwan
- Research Center for Environmental Medicine, Kaohsiung Medical University , Kaohsiung City , Taiwan
| | - Chun-Yuh Yang
- Department of Public Health, College of Health Sciences, Kaohsiung Medical University , Kaohsiung , Taiwan
- National Institute of Environmental Health Sciences, National Health Research Institute , Miaoli , Taiwan
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128
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Yang T, Liu W. Health Effects of Energy Intensive Sectors and the Potential Health Co-Benefits of a Low Carbon Industrial Transition in China. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2019; 16:E3022. [PMID: 31438537 PMCID: PMC6747302 DOI: 10.3390/ijerph16173022] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/25/2019] [Revised: 08/06/2019] [Accepted: 08/08/2019] [Indexed: 11/16/2022]
Abstract
Background: The issues of environmental pollution and its effects on health have become increasingly serious in China. Energy intensive sectors are not only the main energy consumers, but also the main sources of air pollution. Analyzing the health effects of energy intensive sectors and the potential health co-benefits of a low carbon industrial transition is of great importance for promoting China's air pollution control. Methods: This study used the exposure-response (ER) relationship model and inhalation factor methods to quantitatively analyze the health effects of air pollution and forecast the potential health co-benefits in the power and steel sectors. Results: The results showed that in 2016 SO2 and PM2.5 emissions caused about 850,000 premature deaths, and 10 million cases of respiratory diseases and chest discomfort, resulting in health-related economic losses of 1.2 trillion Yuan, accounting for 1.6% of the GDP. Meanwhile, demand control in consumption could significantly reduce SO2 emissions in the power and steel sectors, thus offering significant health co-benefits. However, there was still some uncertainty regarding the reduction of PM2.5 emissions in the steel sector. Conclusions: There is a need to take advantage of the health co-benefits of emission reduction in energy intensive sectors and to adopt flexible means to stimulate their green transformation.
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Affiliation(s)
- Tingru Yang
- Center for Energy and Environmental Policy Research, Beijing Institute of Technology, Beijing 100081, China
- School of Management and Economics, Beijing Institute of Technology, Beijing 100081, China
| | - Wenling Liu
- Center for Energy and Environmental Policy Research, Beijing Institute of Technology, Beijing 100081, China.
- School of Management and Economics, Beijing Institute of Technology, Beijing 100081, China.
- Sustainable Development Research Institute for Economy and Society of Beijing, Beijing 100081, China.
- Beijing Key Lab of Energy Economics and Environmental Management, Beijing 100081, China.
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129
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Change in PM 2.5 exposure and mortality among Medicare recipients: Combining a semi-randomized approach and inverse probability weights in a low exposure population. Environ Epidemiol 2019; 3:e054. [PMID: 31538135 PMCID: PMC6693932 DOI: 10.1097/ee9.0000000000000054] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2018] [Accepted: 05/19/2019] [Indexed: 01/20/2023] Open
Abstract
The association between PM2.5 and mortality is well established; however, confounding by unmeasured factors is always an issue. In addition, prior studies do not tell us what the effect of a sudden change in exposure on mortality is. We consider the sub-population of Medicare enrollees who moved residence from one ZIP Code to another from 2000 to 2012. Because the choice of new ZIP Code is unlikely to be related with any confounders, restricting to the population of movers allows us to have a study design that incorporates randomization of exposure. Over 10 million Medicare participants moved. We calculated change in exposure by subtracting the annual exposure at original ZIP Code from exposure at the new ZIP Code using a validated model. We used Cox proportional hazards models stratified on original ZIP Code with inverse probability weights (IPW) to control for individual and ecological confounders at the new ZIP Code. The distribution of covariates appeared to be randomized by change in exposure at the new locations as standardized differences were mostly near zero. Randomization of measured covariates suggests unmeasured covariates may be randomized also. Using IPW, per 10 µg/m3 increase in PM2.5, the hazard ratio was 1.21 (95% confidence interval [CI] = 1.20, 1.22] among whites and 1.12 (95% CI = 1.08, 1.15) among blacks. Hazard ratios increased for whites and decreased for blacks when restricting to exposure levels below the current standard of 12 µg/m3. This study provides evidence of likely causal effects at concentrations below current limits of PM2.5.
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130
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Piscitelli P, Valenzano B, Rizzo E, Maggiotto G, Rivezzi M, Esposito Corcione F, Miani A. Air Pollution and Estimated Health Costs Related to Road Transportations of Goods in Italy: A First Healthcare Burden Assessment. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2019; 16:E2876. [PMID: 31408946 PMCID: PMC6719032 DOI: 10.3390/ijerph16162876] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/30/2019] [Revised: 08/02/2019] [Accepted: 08/07/2019] [Indexed: 11/28/2022]
Abstract
Background: The Italian Society of Environmental Medicine has performed a preliminary assessment of the health impact attributable to road freight traffic in Italy. Methods: We estimated fine particulate matter (PM10, PM2.5) and nitrogen oxides (NOx) generated by road transportation of goods in Italy considering the number of trucks, the emission factors and the average annual distance covered in the year 2016. Simulations on data concerning Years of Life Lost (YLL) attributable to PM2.5 (593,700) and nitrogen oxides NO2 (200,700) provided by the European Environmental Agency (EEA) were used as a proxy of healthcare burden. We set three different healthcare burden scenarios, varying from 1/5 to 1/10 of the proportion of the overall particulate matter attributable to road freight traffic in Italy (about 7% on a total of 2262 tons/year). Results: Road freight traffic in Italy produced about 189 tons of PM10, 147 tons of PM2.5 and 4125 tons of NOx in year 2016, resulting in annual healthcare costs varying from 400 million up to 1.2 billion EUR per year. Conclusion: Road freight traffic has a relevant impact on air pollution and healthcare costs, especially if considered over a 10-year period. Any solution able to significantly reduce the road transportation of goods could decrease avoidable mortality due to air pollution and related costs.
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Affiliation(s)
- Prisco Piscitelli
- Italian Society of Environmental Medicine (SIMA), 20149 Milan, Italy
- Euro Mediterranean Scientific Biomedical Institute (ISBEM), 1040 Bruxelles, Belgium
| | - Barbara Valenzano
- Director of the Environmental Department of Apulia Region, 72100 Bari, Italy
| | - Emanuele Rizzo
- Italian Society of Environmental Medicine (SIMA), 20149 Milan, Italy
- Euro Mediterranean Scientific Biomedical Institute (ISBEM), 1040 Bruxelles, Belgium
| | - Giuseppe Maggiotto
- Italian Society of Environmental Medicine (SIMA), 20149 Milan, Italy
- Euro Mediterranean Scientific Biomedical Institute (ISBEM), 1040 Bruxelles, Belgium
| | - Matteo Rivezzi
- Euro Mediterranean Scientific Biomedical Institute (ISBEM), 1040 Bruxelles, Belgium
- Translational Medicine PhD Candidate, University of Foggia, 71100 Foggia, Italy
| | - Felice Esposito Corcione
- Former Director of the Institute of Motors, National Research Council (IM-CNR), 80100 Naples, Italy
| | - Alessandro Miani
- Italian Society of Environmental Medicine (SIMA), 20149 Milan, Italy.
- Department of Environmental Science and Policy, University of Milan, 20149 Milan, Italy.
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131
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mHealth: Indoor Environmental Quality Measuring System for Enhanced Health and Well-Being Based on Internet of Things. JOURNAL OF SENSOR AND ACTUATOR NETWORKS 2019. [DOI: 10.3390/jsan8030043] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/05/2023]
Abstract
Mobile health research field aims to provide access to healthcare anytime and anywhere through mobile computing technologies while using a cost-effective approach. Mobile health is closely related to ambient assisted living as both research fields address independence in elderly adults. Aging has become a relevant challenge, as it is anticipated that 20% of world population will be aged 60 years and older in 2050. Most people spend more than 90% of their time indoors, therefore the indoor environmental quality has a relevant impact on occupant’s health and well-being. We intended to provide real-time indoor quality monitoring for enhanced living environments and occupational health. This paper presents the AirPlus real-time indoor environmental quality monitoring system, which incorporates several advantages when compared to other systems, such as scalability, flexibility, modularity, easy installation, and configuration, as well as mobile computing software for data consulting and notifications. The results that were obtained are promising and present a significant contribution to the monitoring solutions available in the literature. AirPlus provides a rich dataset to plan interventions for enhanced indoor quality, but also to support clinical diagnostics and correlate occupant’s health problems with their living environment conditions.
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132
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Lequy E, Siemiatycki J, Leblond S, Meyer C, Zhivin S, Vienneau D, de Hoogh K, Goldberg M, Zins M, Jacquemin B. Long-term exposure to atmospheric metals assessed by mosses and mortality in France. ENVIRONMENT INTERNATIONAL 2019; 129:145-153. [PMID: 31128435 DOI: 10.1016/j.envint.2019.05.004] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/11/2019] [Revised: 04/26/2019] [Accepted: 05/02/2019] [Indexed: 05/22/2023]
Abstract
BACKGROUND Long-term exposure to air pollution affects health, but little is known about exposure to atmospheric metals. Estimating exposure to atmospheric metals across large spatial areas remains challenging. Metal concentrations in mosses could constitute a useful proxy. Here, we linked moss biomonitoring and epidemiological data to investigate the associations between long-term exposure to metals and mortality. METHODS We modelled and mapped 13 atmospheric metals from a 20-year national moss biomonitoring program to derive exposure estimates across France. In the population-based Gazel cohort, we included 11,382 participants from low to intermediate population density areas and assigned modelled metals to their residential addresses. We distinguished between airborne metals that are primarily of natural origin and those primarily of anthropogenic origin. Associations were estimated between exposure to metals and mortality (natural-cause, cardiovascular and respiratory), using Cox models, with confounder adjustment at individual level. FINDINGS Between 1996 and 2017, there were 1313 deaths in the cohort (including 181 cardiovascular and 33 respiratory). Exposure to the anthropogenic metals was associated with an increased risk of natural-cause mortality (hazard ratio of 1.16 [1.08-1.24] per interquartile range of exposure), while metals from natural sources were not. INTERPRETATION Some atmospheric anthropogenic metals may be associated with excess mortality - even in areas with relatively low levels of exposure to air pollution. Consistent with the previous literature, our findings support the use of moss biomonitoring as a tool to assess health effects of air pollution exposure at individual level.
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Affiliation(s)
- Emeline Lequy
- INSERM, U1168, VIMA: Aging and Chronic Diseases, Epidemiological and Public Health Approaches, F-94807 Villejuif, France; University of Versailles St-Quentin-en-Yvelines, UMR-S 1168, F-78180 Montigny-le-Bretonneux, France; INSERM, UMS 011, F-94807 Villejuif, France
| | - Jack Siemiatycki
- CRCHUM (Centre de recherche du CHUM) and Department of Social and Preventive Medicine, Université de Montréal, QC, Canada
| | - Sébastien Leblond
- UMS 2006 PatriNat, National Museum of Natural History, 12 rue Buffon, F-75005 Paris, France
| | - Caroline Meyer
- UMS 2006 PatriNat, National Museum of Natural History, 12 rue Buffon, F-75005 Paris, France
| | | | - Danielle Vienneau
- Swiss Tropical and Public Health Institute, Basel, Switzerland; University of Basel, Basel, Switzerland
| | - Kees de Hoogh
- Swiss Tropical and Public Health Institute, Basel, Switzerland; University of Basel, Basel, Switzerland
| | - Marcel Goldberg
- INSERM, UMS 011, F-94807 Villejuif, France; Université Paris Descartes, 12, rue de l'école de médecine, F-75006 Paris, France
| | - Marie Zins
- INSERM, UMS 011, F-94807 Villejuif, France; Université Paris Descartes, 12, rue de l'école de médecine, F-75006 Paris, France
| | - Bénédicte Jacquemin
- INSERM, U1168, VIMA: Aging and Chronic Diseases, Epidemiological and Public Health Approaches, F-94807 Villejuif, France; University of Versailles St-Quentin-en-Yvelines, UMR-S 1168, F-78180 Montigny-le-Bretonneux, France; ISGlobal-Institut de Salut Global de Barcelona, 08003 Barcelona, Spain; University Pompeu Fabra (UPF), 08003 Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), 08003 Barcelona, Spain; Univ Rennes, Inserm, EHESP, Irset (Institut de recherche en santé, environnement et travail) - UMR_S 1085, F-35000 Rennes, France.
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133
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Leng J, Peruluswami P, Bari S, Gaur S, Radparvar F, Parvez F, Chen Y, Flores C, Gany F. South Asian Health: Inflammation, Infection, Exposure, and the Human Microbiome. J Immigr Minor Health 2019; 21:26-36. [PMID: 28952002 PMCID: PMC5871532 DOI: 10.1007/s10903-017-0652-y] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
This paper presents the results of the literature review conducted for the working group topic on inflammation, infection, exposure, and the human microbiome. Infection and chronic inflammation can elevate risk for cardiovascular disease and cancer. Environmental exposures common among South Asian (SA) subgroups, such as arsenic exposure among Bangladeshis and particulate matter air pollution among taxi drivers, also pose risks. This review explores the effects of exposure to arsenic and particulate matter, as well as other infections common among SAs, including human papillomavirus (HPV) and hepatitis B/C infection. Emerging research on the human microbiome, and the effect of microbiome changes on obesity and diabetes risk among SAs are also explored.
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Affiliation(s)
- Jennifer Leng
- Department of Psychiatry and Behavioral Sciences, Immigrant Health and Cancer Disparities Service, Memorial Sloan Kettering Cancer Center, 485 Lexington Avenue, 2nd Floor, New York, NY, 10017, USA
- Department of Medicine, Memorial Sloan Kettering Cancer Center, 1275 York Avenue, New York, NY, USA
- Department of Healthcare Policy and Research, Weill Cornell Medical College, 1300 York Avenue, New York, NY, USA
| | - Ponni Peruluswami
- Department of Medicine, Icahn School of Medicine at the Mount Sinai Medical Center, 1468 Madison Avenue, New York, NY, USA
| | - Sehrish Bari
- The Earth Institute, Columbia University, 2910 Broadway, New York, NY, USA
| | - Sunanda Gaur
- Robert Wood Johnson Medical School, South Asian Total Health Initiative, Rutgers School of Public Health, Rutgers, The State University of New Jersey, 1 Robert Wood Johnson Place, New Brunswick, NJ, USA
| | - Farshid Radparvar
- Cardiology Department, Queens Hospital Center, 82-68 164th Street, Jamaica, New York, NY, USA
| | - Faruque Parvez
- Department of Environmental Health Sciences, Columbia University, 722 W 168th Street, New York, NY, USA
| | - Yu Chen
- Department of Population Health, Department of Environmental Medicine, New York University School of Medicine, 550 1st Avenue, New York, NY, USA
| | - Cristina Flores
- The Warren Alpert Medical School, The Brown Human Rights Asylum Clinic (BHRAC), Brown University, 222 Richmond Street, Providence, RI, USA
| | - Francesca Gany
- Department of Psychiatry and Behavioral Sciences, Immigrant Health and Cancer Disparities Service, Memorial Sloan Kettering Cancer Center, 485 Lexington Avenue, 2nd Floor, New York, NY, 10017, USA.
- Department of Medicine, Memorial Sloan Kettering Cancer Center, 1275 York Avenue, New York, NY, USA.
- Department of Healthcare Policy and Research, Weill Cornell Medical College, 1300 York Avenue, New York, NY, USA.
- Department of Medicine, Weill Cornell Medical College, 1300 York Avenue, New York, NY, USA.
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134
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Abstract
A causal association of air pollution with mental diseases is an intriguing possibility raised in a Short Report just published in PLOS Biology. Despite analyses involving large data sets, the available evidence has substantial shortcomings, and a long series of potential biases may invalidate the observed associations. Only bipolar disorder shows consistent results, with similar effects across United States and Denmark data sets, but the effect has modest magnitude, appropriate temporality is not fully secured, and biological gradient, plausibility, coherence, and analogy offer weak support. The signal seems to persist in some robustness analyses, but more analyses by multiple investigators, including contrarians, are necessary. Broader public sharing of data sets would also enhance transparency.
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Affiliation(s)
- John P. A. Ioannidis
- Meta-Research Innovation Center at Stanford (METRICS) and Stanford Prevention Research Center, Departments of Medicine, Health Research and Policy, Biomedical Data Science, and Statistics, Stanford University, Stanford, California, United States of America
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135
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Jaganathan S, Jaacks LM, Magsumbol M, Walia GK, Sieber NL, Shivasankar R, Dhillon PK, Hameed SS, Schwartz J, Prabhakaran D. Association of Long-Term Exposure to Fine Particulate Matter and Cardio-Metabolic Diseases in Low- and Middle-Income Countries: A Systematic Review. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2019; 16:E2541. [PMID: 31315297 PMCID: PMC6679147 DOI: 10.3390/ijerph16142541] [Citation(s) in RCA: 26] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/17/2019] [Revised: 06/05/2019] [Accepted: 06/06/2019] [Indexed: 11/24/2022]
Abstract
: Background: Numerous epidemiological studies indicated high levels of particulate matter less than2.5 μm diameter (PM2.5) as a major cardiovascular risk factor. Most of the studies have been conducted in high-income countries (HICs), where average levels of PM2.5 are far less compared to low- and middle- income countries (LMICs), and their socio-economic profile, disease burden, and PM speciation/composition are very different. We systematically reviewed the association of long-term exposure to PM2.5 and cardio-metabolic diseases (CMDs) in LMICs. METHODS Multiple databases were searched for English articles with date limits until March 2018. We included studies investigating the association of long-term exposure to PM2.5 (defined as an annual average/average measure for 3 more days of PM2.5 exposure) and CMDs, such as hospital admissions, prevalence, and deaths due to CMDs, conducted in LMICs as defined by World Bank. We excluded studies which employed exposure proxy measures, studies among specific occupational groups, and specific episodes of air pollution. RESULTS A total of 5567 unique articles were identified, of which only 17 articles were included for final review, and these studies were from Brazil, Bulgaria, China, India, and Mexico. Outcome assessed were hypertension, type 2 diabetes mellitus and insulin resistance, and cardiovascular disease (CVD)-related emergency room visits/admissions, death, and mortality. Largely a positive association between exposure to PM2.5 and CMDs was found, and CVD mortality with effect estimates ranging from 0.24% to 6.11% increased per 10 μg/m3 in PM2.5. CVD-related hospitalizations and emergency room visits increased by 0.3% to 19.6%. Risk factors like hypertension had an odds ratio of 1.14, and type 2 diabetes mellitus had an odds ratio ranging from 1.14-1.32. Diversity of exposure assessment and health outcomes limited the ability to perform a meta-analysis. CONCLUSION Limited evidence on the association of long-term exposure to PM2.5 and CMDs in the LMICs context warrants cohort studies to establish the association.
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Affiliation(s)
| | - Lindsay M. Jaacks
- Department of Global Health and Population, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA
| | | | | | - Nancy L. Sieber
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA
| | | | | | | | - Joel Schwartz
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA
| | - Dorairaj Prabhakaran
- Centre for Chronic Disease Control, New Delhi 110016, India
- Public Health Foundation of India, Gurgaon 122002, India
- London School of Hygiene and Tropical Medicine, London WC1E 7HT, UK
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136
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Nagaoka K, Ogino K, Ogino N, Ito T, Takemoto K, Ogino S, Seki Y, Hamada H, Fujikura Y. Human albumin augmented airway inflammation induced by PM2.5 in NC/Nga mice. ENVIRONMENTAL TOXICOLOGY 2019; 34:836-843. [PMID: 30953400 DOI: 10.1002/tox.22751] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/06/2018] [Revised: 03/18/2019] [Accepted: 03/22/2019] [Indexed: 06/09/2023]
Abstract
The synergic allergic inflammatory effects of particulate matter (PM) 2.5 and human albumin were investigated in NC/Nga mice, which are hypersensitive to mite allergens. PM2.5 or PM2.5 plus human albumin with aluminum oxide was injected twice intraperitoneally for sensitization. After 7 days, PM2.5 or PM2.5 plus human albumin was administered five times intranasally to mice for further sensitization. Subsequently, PM2.5 was administered as a challenge on the 11th day. On the 12th day, mice were examined for airway hyperresponsiveness (AHR), bronchoalveolar lavage fluid (BALF) cell count, mRNA expression of Th1 , Th2 cytokines, chemokines, and mucus proteins (MUC5AC and MUC5B) in the lung tissue and histopathology. Although PM2.5 or human albumin alone did not induce allergic airway inflammation, simultaneous inoculation of PM2.5 and human albumin-induced airway inflammation showing increase in AHR, total BALF cell numbers, mRNA levels of IL-13, eotaxin 1, eotaxin 2, and MUC5AC, and anti-IG against human serum albumin. Inflammation was observed around the bronchus in PM2.5 plus human albumin-induced lungs. These results demonstrate that PM2.5 can induce allergic airway inflammation through the synergistic action with human albumin in NC/Nga mice.
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Affiliation(s)
- Kenjiro Nagaoka
- Department of Public Health, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Science, Okayama, Japan
| | - Keiki Ogino
- Department of Public Health, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Science, Okayama, Japan
| | - Noriyoshi Ogino
- Department of Public Health, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Science, Okayama, Japan
- Third Department of Internal Medicine, School of Medicine, University of Occupational and Environmental Health Japan, Kitakyushu, Japan
| | - Tatsuo Ito
- Department of Public Health, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Science, Okayama, Japan
| | - Kei Takemoto
- Department of Public Health, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Science, Okayama, Japan
| | - Shihona Ogino
- Department of Public Health, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Science, Okayama, Japan
- First Department of Internal Medicine, School of Medicine, University of Occupational and Environmental Health Japan, Kitakyushu, Japan
| | - Yuka Seki
- Department of Public Health, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Science, Okayama, Japan
| | - Hiroki Hamada
- Department of Life Science, Okayama University of Science, Okayama, Japan
| | - Yoshihisa Fujikura
- Division of Morphological Analysis, Department of Anatomy, Biology and Medicine, Faculty of Medicine, Oita University, Yufu, Oita, Japan
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Wong PPY, Lai PC, Allen R, Cheng W, Lee M, Tsui A, Tang R, Thach TQ, Tian L, Brauer M, Barratt B. Vertical monitoring of traffic-related air pollution (TRAP) in urban street canyons of Hong Kong. THE SCIENCE OF THE TOTAL ENVIRONMENT 2019; 670:696-703. [PMID: 30909046 DOI: 10.1016/j.scitotenv.2019.03.224] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/11/2018] [Revised: 03/14/2019] [Accepted: 03/15/2019] [Indexed: 06/09/2023]
Abstract
Rapid urbanization has significantly increased air pollution especially in urban regions with high traffic volumes. Existing methods for estimating traffic-related air pollution (TRAP) and TRAP-related health impacts are based on two-dimensional modelling. This paper describes a point-based methodology to monitor vertical pollutant concentrations in typical street canyons of Hong Kong. It explains the conceptual design, monitoring strategy and selection criteria for a limited number of receptor locations in street canyons to undertake field measurements for both outdoor exposure and indoor infiltration. It also expounds on the limitations and complications associated with field instrumentation and retention of participating home units. The empirical results were applied on the building infiltration efficiencies assessment. It is concluded that the cost-effective field methodology developed in this paper expects to strike a balance between exposure error and limited data locations. These findings will have important implications in future monitoring design of vertical TRAP exposure to support health studies.
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Affiliation(s)
- Paulina P Y Wong
- Science Unit, Lingnan University, Hong Kong Special Administrative Region; Centre for Social Policy & Social Change, Lingnan University, Hong Kong Special Administrative Region
| | - Poh-Chin Lai
- Department of Geography, The University of Hong Kong, Hong Kong Special Administrative Region.
| | - Ryan Allen
- Faculty of Health Sciences, Simon Fraser University, Canada
| | - Wei Cheng
- Department of Geography, The University of Hong Kong, Hong Kong Special Administrative Region
| | - Martha Lee
- Department of Epidemiology, McGill University, Canada
| | - Anthony Tsui
- School of Public Health, The University of Hong Kong, Hong Kong Special Administrative Region
| | - Robert Tang
- School of Public Health, The University of Hong Kong, Hong Kong Special Administrative Region
| | - Thuan-Quoc Thach
- School of Public Health, The University of Hong Kong, Hong Kong Special Administrative Region
| | - Linwei Tian
- School of Public Health, The University of Hong Kong, Hong Kong Special Administrative Region
| | - Michael Brauer
- School of Population and Public Health, University of British Columbia, Canada
| | - Benjamin Barratt
- MRC-PHE Centre for Environment and Health, King's College London, United Kingdom
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138
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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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139
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Abstract
Exposure to indoor-generated air pollution causes a large number of deaths and cases of disease. These effects are found, largely, in developing countries where people, especially women and young children, are exposed to high concentrations of smoke produced by biomass burning for cooking. Approximately 3 million deaths occur each year. In developed countries, the problem is much less acute: accidental exposure to high concentrations of carbon monoxide is the main cause of death. It should be remembered, however, that much of people's exposure to pollutants generated outdoors occurs in the indoor environment. Indoor exposure to particulate matter has the same effects as outdoor exposure: the cardiovascular system is most affected, with deaths being due to ischaemic heart disease and stroke. Exposure to particulate matter may also contribute to the development of chronic obstructive pulmonary disease (COPD). Exposure to high concentrations of nitrogen dioxide, although perhaps not having a great effect on measures of lung function, may contribute to the development of emphysema and reduce the resistance of the body to bacterial and viral infections. Lung cancer, due to exposure to carcinogens in wood smoke, also occurs. Efforts to reduce levels of indoor air pollution in developing countries, for example by providing flued cooking stoves, have been shown to reduce the prevalence of disease.
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140
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Yu G, Wang F, Hu J, Liao Y, Liu X. Value Assessment of Health Losses Caused by PM 2.5 in Changsha City, China. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2019; 16:E2063. [PMID: 31212685 PMCID: PMC6604026 DOI: 10.3390/ijerph16112063] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/18/2019] [Revised: 06/01/2019] [Accepted: 06/06/2019] [Indexed: 11/27/2022]
Abstract
With the advancement of urbanization, the harm caused to human health by PM2.5 pollution has been receiving increasing attention worldwide. In order to increase public awareness and understanding of the damage caused by PM2.5 in the air and gain the attention of relevant management departments, Changsha City is used as the research object, and the environmental quality data and public health data of Changsha City from 2013 to 2017 are used. All-cause death, respiratory death, cardiovascular death, chronic bronchitis, and asthma were selected as the endpoints of PM2.5 pollution health effects, according to an exposure-response coefficient, Poisson regression model, and health-impact-assessment-related methods (the Human Capital Approach, the Willingness to Pay Approach, and the Cost of Illness Approach), assessing the health loss and economic loss associated with PM2.5. The results show that the pollution of PM2.5 in Changsha City is serious, which has resulted in extensive health hazards and economic losses to local residents. From 2013 to 2017, when annual average PM2.5 concentrations fell to 10 μg/m3, the total annual losses from the five health-effect endpoints were $2788.41 million, $2123.18 million, $1657.29 million, $1402.90 million, and $1419.92 million, respectively. The proportion of Gross Domestic Product (GDP) in the current year was 2.69%, 1.87%, 1.34%, 1.04% and 0.93%, respectively. Furthermore, when the concentration of PM2.5 in Changsha City drops to the safety threshold of 10 μg/m3, the number of affected populations and health economic losses can far exceed the situation when it falls to 35 μg/m3, as stipulated by the national secondary standard. From 2013 to 2017, the total loss under the former situation was 1.48 times, 1.54 times, 1.86 times, 2.25 times, and 2.33 times that of the latter, respectively. Among them, all-cause death and cardiovascular death are the main sources of health loss. Taking 2017 as an example, when the annual average concentration dropped to 10 μg/m3, the health loss caused by deaths from all-cause death and cardiovascular disease was 49.16% of the total loss and 35.73%, respectively. Additionally, deaths as a result of respiratory disease, asthma, and chronic bronchitis contributed to 7.31%, 7.29%, and 0.51% of the total loss, respectively. The research results can provide a reference for the formulation of air pollution control policies based on health effects, which is of great significance for controlling air pollution and protecting people's health.
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Affiliation(s)
- Guanghui Yu
- The School of Resource, Environment and Safety Engineering, Hunan University of Science and Technology, Xiangtan 411201, China.
| | - Feifan Wang
- The School of Resource, Environment and Safety Engineering, Hunan University of Science and Technology, Xiangtan 411201, China.
| | - Jing Hu
- The School of Resource, Environment and Safety Engineering, Hunan University of Science and Technology, Xiangtan 411201, China.
| | - Yan Liao
- South China Institute of Environmental Science, Ministry of Ecology and Environment (MEE), Guangzhou 510655, China.
| | - Xianzhao Liu
- The School of Resource, Environment and Safety Engineering, Hunan University of Science and Technology, Xiangtan 411201, China.
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141
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Renzi M, Forastiere F, Schwartz J, Davoli M, Michelozzi P, Stafoggia M. Long-Term PM 10 Exposure and Cause-Specific Mortality in the Latium Region (Italy): A Difference-in-Differences Approach. ENVIRONMENTAL HEALTH PERSPECTIVES 2019; 127:67004. [PMID: 31166133 PMCID: PMC6792372 DOI: 10.1289/ehp3759] [Citation(s) in RCA: 27] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/12/2018] [Revised: 04/24/2019] [Accepted: 05/13/2019] [Indexed: 05/19/2023]
Abstract
BACKGROUND The link between particulate matter (PM) exposure and adverse health outcomes has been widely evaluated using large cohort studies. However, the possibility of residual confounding and lack of information about the health effects of PM in rural and suburban areas are unsolved issues. OBJECTIVE Our aim was to estimate the effect of annual PM≤10µg (PM10) exposure on cause-specific mortality in the Latium region (central Italy, of which Rome is the main city) during 2006-2012 using a difference-in-differences approach. METHODS We estimated daily PM10 concentrations for each 1 km2 of the region from 2006 to 2012 by use of satellite data, land-use predictors, and meteorological parameters. For each of the 378 regional municipalities and each year, we averaged daily PM10 values to obtain annual mean PM10 exposures. We applied a variant of the difference-in-differences approach to estimate the association between PM10 and cause-specific mortality by focusing on within-municipality fluctuations of mortality rates and annual PM exposures around municipality means, therefore controlling by design for confounding from all spatial and temporal potential confounders. Analyses were also stratified by population size of the municipalities to obtain effect estimates in rural and suburban areas of the region. RESULTS In the period 2006-2012, we observed deaths due to three causes: 347,699 nonaccidental; 92,787 cardiovascular; and 16,509 respiratory causes. The annual average (standard deviation, SD) PM10 concentration was 21.9 (±4.9) µg/km3 in Latium. For each 1-µg/m3 increase in annual PM10 we estimated increases of 0.8% (95% confidence intervals (CIs): 0.2%, 1.3%), 0.9% (0.0%, 1.8%), and 1.4% (-0.4%, 3.3%) in nonaccidental, cardiovascular, and respiratory mortality, respectively. Similar results were found when we excluded the metropolitan area of Rome from the analysis. Higher effects were estimated in the smaller municipalities, e.g., those with population < 5,000 inhabitants. CONCLUSION Our study suggests a significant association of annual PM10 exposure with nonaccidental and cardiorespiratory mortality in the Latium region, even outside Rome and in suburban and rural areas. https://doi.org/10.1289/EHP3759.
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Affiliation(s)
- Matteo Renzi
- Department of Epidemiology, Lazio Region Health Service/ASL Roma 1, Rome, Italy
| | - Francesco Forastiere
- Institute of Biomedicine and Molecular Immunology (IBIM), National Research Council, Palermo, Italy
- Environmental Research Group, King’s College, London, UK
| | - Joel Schwartz
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
| | - Marina Davoli
- Department of Epidemiology, Lazio Region Health Service/ASL Roma 1, Rome, Italy
| | - Paola Michelozzi
- Department of Epidemiology, Lazio Region Health Service/ASL Roma 1, Rome, Italy
| | - Massimo Stafoggia
- Department of Epidemiology, Lazio Region Health Service/ASL Roma 1, Rome, Italy
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
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142
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Luo L, Dai Y, Zhang F, Chen M, Chen F, Qing F. Time series analysis of ambient air pollution effects on dynamic stroke mortality. Int J Health Plann Manage 2019; 35:79-103. [PMID: 31149758 DOI: 10.1002/hpm.2821] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2019] [Accepted: 05/17/2019] [Indexed: 12/11/2022] Open
Abstract
This study aims to examine the correlations between air pollution and dynamic stroke mortality, which is defined as the daily real-time number of deaths from stroke. Death data were obtained from daily medical records of 7230 incidents from the Center for Disease Control and Prevention in the Longquanyi District of China from 2016 to 2017. Air pollution data were obtained from environmental monitoring stations in the Longquanyi District. Time series analysis using generalized additive Poisson regression models was applied, and single-pollutant and two-pollutant adjusted models were utilized. Furthermore, categories based on gender, age, and meteorological factors were considered in the analysis. The results indicated that PM2.5, PM10, O3 , and CO had significant effects on dynamic stroke mortality, which were stronger for older people and during the cold season. This study helps hospital managers, patients, and governments seeking to prevent and control the effects of air pollution on the risks of stroke.
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Affiliation(s)
- Li Luo
- Business School, Sichuan University, Chengdu, China
| | - Yuting Dai
- Business School, Sichuan University, Chengdu, China
| | - Fengyi Zhang
- Business School, Sichuan University, Chengdu, China
| | - Mei Chen
- The First People's Hospital of Longquanyi District, Chengdu, China
| | - Fang Chen
- The First People's Hospital of Longquanyi District, Chengdu, China
| | - Fang Qing
- Business School, Sichuan University, Chengdu, China
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143
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Li T, Zhang Y, Wang J, Xu D, Yin Z, Chen H, Lv Y, Luo J, Zeng Y, Liu Y, Kinney PL, Shi X. All-cause mortality risk associated with long-term exposure to ambient PM 2·5 in China: a cohort study. LANCET PUBLIC HEALTH 2019; 3:e470-e477. [PMID: 30314593 DOI: 10.1016/s2468-2667(18)30144-0] [Citation(s) in RCA: 169] [Impact Index Per Article: 33.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/27/2018] [Revised: 07/20/2018] [Accepted: 07/20/2018] [Indexed: 01/24/2023]
Abstract
BACKGROUND Evidence from cohort studies in North America and Europe indicates that long-term exposure to fine particulate matter (PM2·5) is associated with an increased mortality risk. However, this association has rarely been quantified at higher ambient concentrations. We estimated the hazard ratio (HR) for all-cause mortality from long-term exposure to PM2·5 in a well established Chinese cohort of older adults. METHODS The Chinese Longitudinal Healthy Longevity Survey (CLHLS) is a prospective cohort study of men and women aged 65 years and older enrolled in 2008 and followed up through 2014 for mortality events. We studied individuals for whom residential locations were available in 2008 for linkage to 1 km grids of PM2·5 concentrations, derived from satellite remote sensing. Cox proportional hazards models were used to estimate the effect of long-term exposure to PM2·5 on all-cause mortality, controlling for age, sex, smoking status, drinking status, physical activity, body-mass index, household income, marital status, and education. We then used our results to estimate premature mortality related to PM2·5 exposure in the population aged 65 years and older in China in 2010. FINDINGS 13 344 individuals in the CLHLS cohort had data for all timepoints, yielding follow-up data for 49 440 person-years. In a 3-year window, these individuals were exposed to a median PM2·5 concentration of 50·7 μg/m3 (range 6·7-113·3). The overall HR for a 10 μg/m3 increase in this value was 1·08 (95% CI 1·06-1·09). In stratified analyses, HRs were higher in rural than in urban locations, in southern versus northern regions, and with exposure to lower versus higher PM2·5 concentrations. Based on the overall HR, we estimated that 1 765 820 people aged 65 years and older in China in 2010 had premature mortality related to PM2·5 exposure. INTERPRETATION Long-term exposure to PM2·5 is associated with an increased risk of all-cause mortality among adults aged 65 years and older in China, but the magnitude of the risk declines as the concentration of PM2·5 increases. FUNDING National Natural Science Foundation of China, National High-Level Talents Special Support Plan of China for Young Talents, US National Aeronautics and Space Administration, and the Columbia University Global Policy Initiative.
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Affiliation(s)
- Tiantian Li
- National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Yi Zhang
- National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Jiaonan Wang
- National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Dandan Xu
- National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Zhaoxue Yin
- Division of Non-Communicable Disease Control and Community Health, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Huashuai Chen
- Center for the Study of Aging and Human Development, and the Geriatric Division of the School of Medicine, Duke University, Durham, NC, USA
| | - Yuebin Lv
- National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Jiesi Luo
- Division of Non-Communicable Disease Control and Community Health, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Yi Zeng
- Center for the Study of Aging and Human Development, and the Geriatric Division of the School of Medicine, Duke University, Durham, NC, USA; Center for Study of Healthy Aging and Development Studies, Peking University, Beijing, China
| | - Yang Liu
- Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | - Patrick L Kinney
- Department of Environmental Health, Boston University School of Public Health, Boston, MA, USA
| | - Xiaoming Shi
- National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China.
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144
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Gibelin P. Pollution et maladies cardiovasculaires. BULLETIN DE L'ACADÉMIE NATIONALE DE MÉDECINE 2019. [DOI: 10.1016/j.banm.2018.10.001] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/27/2022]
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145
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Hanigan IC, Rolfe MI, Knibbs LD, Salimi F, Cowie CT, Heyworth J, Marks GB, Guo Y, Cope M, Bauman A, Jalaludin B, Morgan GG. All-cause mortality and long-term exposure to low level air pollution in the '45 and up study' cohort, Sydney, Australia, 2006-2015. ENVIRONMENT INTERNATIONAL 2019; 126:762-770. [PMID: 30878871 DOI: 10.1016/j.envint.2019.02.044] [Citation(s) in RCA: 48] [Impact Index Per Article: 9.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/03/2018] [Revised: 02/05/2019] [Accepted: 02/16/2019] [Indexed: 06/09/2023]
Abstract
BACKGROUND Epidemiological studies show that long-term exposure to ambient air pollution reduces life expectancy. Most studies have been in environments with relatively high concentrations such as North America, Europe and Asia. Associations at the lower end of the concentration-response function are not well defined. OBJECTIVES We assessed associations between all-cause mortality and exposure to annual average particulate matter <2.5 μm (PM2.5) and nitrogen dioxide (NO2) in Sydney, Australia, where concentrations are relatively low. METHODS The '45 and Up Study' comprises a prospective longitudinal cohort from the state of New South Wales, Australia with 266,969 participants linked to death registry data. We analyzed data for the participants who resided in Sydney at baseline questionnaire (n = 75,268). Exposures to long-term pollution were estimated using annual averages from a chemical transport model (PM2.5), and a satellite-based land-use regression model (NO2). Socio-demographic information was extracted from the baseline questionnaire. Cox proportional hazard models were applied to estimate associations, while adjusting for covariates. RESULTS In our cohort mean annual PM2.5 was 4.5 μg/m3 and mean NO2 was 17.8 μg/m3. The mortality rate was 4.4% over the 7 years of follow up. Models that adjusted for individual-level and area-level risk factors resulted in a detrimental non statistically significant hazard ratio (HR) of 1.05 (95% CI: 0.98-1.12) per 1 μg/m3 increase in PM2.5, and 1.03 (95% CI: 0.98-1.07) per 5 μg/m3 increase in NO2. CONCLUSIONS We found evidence that low-level air pollution exposure was associated with increased risk of mortality in this cohort of adults aged 45 years and over, even at the relatively low concentrations seen in Sydney. However, a clear determination of the association with mortality is difficult because the results were sensitive to some covariates. Our findings are supportive of emerging evidence that exposure to low levels of air pollution reduces life expectancy.
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Affiliation(s)
- Ivan C Hanigan
- Centre for Air Pollution, Energy and Health Research, Australia; The University of Sydney, University Centre for Rural Health, School of Public Health, Sydney, Australia; Centre for Research and Action in Public Health, University of Canberra, Canberra, Australia.
| | - Margaret I Rolfe
- The University of Sydney, University Centre for Rural Health, School of Public Health, Sydney, Australia
| | - Luke D Knibbs
- Centre for Air Pollution, Energy and Health Research, Australia; School of Public Health, The University of Queensland, Herston, Australia
| | - Farhad Salimi
- Centre for Air Pollution, Energy and Health Research, Australia; The University of Sydney, University Centre for Rural Health, School of Public Health, Sydney, Australia
| | - Christine T Cowie
- Centre for Air Pollution, Energy and Health Research, Australia; South West Sydney Clinical School, University of NSW, Australia; Ingham Institute for Applied Medical Research, Woolcock Institute of Medical Research, The University of Sydney, Sydney, Australia
| | - Jane Heyworth
- Centre for Air Pollution, Energy and Health Research, Australia; The Clean Air and Urban Landscapes Hub & School of Population and Global Health, The University of Western Australia, Australia
| | - Guy B Marks
- Centre for Air Pollution, Energy and Health Research, Australia; Woolcock Institute of Medical Research & South West Sydney Clinical School, University of New South Wales, Sydney, Australia
| | - Yuming Guo
- Centre for Air Pollution, Energy and Health Research, Australia; Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
| | - Martin Cope
- Centre for Air Pollution, Energy and Health Research, Australia; CSIRO, Melbourne, Australia
| | - Adrian Bauman
- The University of Sydney, School of Public Health, Sydney, Australia
| | - Bin Jalaludin
- Centre for Air Pollution, Energy and Health Research, Australia; Woolcock Institute of Medical Research, University of Sydney, Sydney, Australia; School of Public Health and Community Medicine, University of New South Wales & Ingham Institute for Applied Medical Research, Sydney, Australia
| | - Geoffrey G Morgan
- Centre for Air Pollution, Energy and Health Research, Australia; The University of Sydney, University Centre for Rural Health, School of Public Health, Sydney, Australia
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146
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Abstract
BACKGROUND Many studies have analyzed the association between traffic-related air pollution and risk of childhood leukemia, but the results are inconsistent. Therefore, we performed this meta-analysis to investigate the association between traffic-related air pollution and risk of childhood leukemia. METHODS PubMed, Cochrane, and Embase databases were searched by the index words to identify eligible case-control studies, and relevant literature sources were also searched. The latest research was performed in September 2017. Odds ratio (OR) along with 95% confidence interval (95% CI) were used to analyzed the main outcomes. RESULTS Twenty-one case-control studies were included in the meta-analysis. The results indicated that in the studies of overall traffic density (OR: 1.01, 95% CI: 0.98-1.04), high traffic density (OR: 1.04, 95% CI: 0.91-1.17), moderate exposure to NO2 (OR: 1.02, 95% CI: 0.93-1.10), and benzene (OR: 1.04, 95% CI: 0.71-1.37), the risks of childhood leukemia incidence were higher in the case group than the control group, but no significant difference was found. In other analysis, no significant difference was observed in the risk of childhood leukemia in the 2 groups. CONCLUSIONS Current evidence suggests that childhood leukemia is associated with traffic density, and moderate exposure to NO2 and benzene. However, more high-quality studies are required to confirm the conclusions.
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147
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Goodkind AL, Tessum CW, Coggins JS, Hill JD, Marshall JD. Fine-scale damage estimates of particulate matter air pollution reveal opportunities for location-specific mitigation of emissions. Proc Natl Acad Sci U S A 2019; 116:8775-8780. [PMID: 30962364 PMCID: PMC6500143 DOI: 10.1073/pnas.1816102116] [Citation(s) in RCA: 83] [Impact Index Per Article: 16.6] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022] Open
Abstract
Fine particulate matter (PM2.5) air pollution has been recognized as a major source of mortality in the United States for at least 25 years, yet much remains unknown about which sources are the most harmful, let alone how best to target policies to mitigate them. Such efforts can be improved by employing high-resolution geographically explicit methods for quantifying human health impacts of emissions of PM2.5 and its precursors. Here, we provide a detailed examination of the health and economic impacts of PM2.5 pollution in the United States by linking emission sources with resulting pollution concentrations. We estimate that anthropogenic PM2.5 was responsible for 107,000 premature deaths in 2011, at a cost to society of $886 billion. Of these deaths, 57% were associated with pollution caused by energy consumption [e.g., transportation (28%) and electricity generation (14%)]; another 15% with pollution caused by agricultural activities. A small fraction of emissions, concentrated in or near densely populated areas, plays an outsized role in damaging human health with the most damaging 10% of total emissions accounting for 40% of total damages. We find that 33% of damages occur within 8 km of emission sources, but 25% occur more than 256 km away, emphasizing the importance of tracking both local and long-range impacts. Our paper highlights the importance of a fine-scale approach as marginal damages can vary by over an order of magnitude within a single county. Information presented here can assist mitigation efforts by identifying those sources with the greatest health effects.
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Affiliation(s)
- Andrew L Goodkind
- Department of Economics, University of New Mexico, Albuquerque, NM 87131;
| | - Christopher W Tessum
- Department of Civil and Environmental Engineering, University of Washington, Seattle, WA 98195
| | - Jay S Coggins
- Department of Applied Economics, University of Minnesota, St. Paul, MN 55108
| | - Jason D Hill
- Department of Bioproducts and Biosystems Engineering, University of Minnesota, St. Paul, MN 55108
| | - Julian D Marshall
- Department of Civil and Environmental Engineering, University of Washington, Seattle, WA 98195
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148
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Regional Inequality and Influencing Factors of Primary PM Emissions in the Yangtze River Delta, China. SUSTAINABILITY 2019. [DOI: 10.3390/su11082269] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
In recent years, haze pollution has become more and more serious in the Yangtze River Delta (YRD). However, the impact mechanism of socio-economic factors on primary particulate matter (PM) emissions remains unclear. Based on the provincial primary PM emission data in the YRD from 1995 to 2014, this paper used Slope, Theil index, and Stochastic Impacts by Regression on Population, Affluence, and Technology (STIAPAT) models to quantitatively identify the regional differences of primary PM emissions and explore the key influencing factors. The results showed that primary fine particulate matter (PM2.5), inhalable particulate (PM10), and total suspended particulate (TSP) emissions all featured an upward trend of fluctuation over the study period. The regional differences in primary TSP emissions in the YRD region was gradually shrinking and the regional differences of primary PM2.5 and PM10 emissions presented a rising trend of fluctuation. The estimated coefficient of population size, energy structure, and fixed assets investment (FAI) were all significantly positive at the level of 1%. The negative effect of economic growth on energy PM emissions was significant under the level of 1%. The increase of foreign direct investment (FDI) had different effects on primary PM2.5, PM10, and TSP emissions. In addition, the influence of energy intensity on primary PM emission from energy consumption are mainly negative but not significant even under the level of 10%. These conclusions have guiding significance for the formulation of PM emission reduction policy without affecting YRD’s economic development.
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149
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Leng JC, Lei L, Lei SF, Zhu Z, Mo N, Sou B, Mujawar I, Gany F. Smoking Among Chinese Livery Drivers. J Immigr Minor Health 2019; 21:356-363. [PMID: 29651588 PMCID: PMC6226348 DOI: 10.1007/s10903-018-0740-7] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Abstract
We aimed to assess a key risk factor for lung cancer, smoking, in a vulnerable group, Chinese livery drivers in New York City (NYC). This is a nested cohort study conducted in the summer/fall of 2014 within a larger NIMHD-funded R24 program, the Taxi Network. The Taxi Network Needs Assessment (TNNA) survey was administered to a broad demographic of drivers. This study reports on the TNNA survey smoking-related results among NYC Chinese livery drivers. 97 drivers participated. Mean age was 44.7 years, 2.1% were English proficient, and 23.4% were living below the poverty line. Most were insured (82.5%), had a PCP (82.5%), and had had a routine check-up within the past year (79%). 73% were current or former smokers. Culturally and linguistically tailored smoking cessation interventions, strategies to mitigate exposure to air pollution, and programs to facilitate lung cancer screening should be developed and implemented for high-risk Chinese livery drivers.
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Affiliation(s)
- Jennifer C Leng
- Department of Psychiatry and Behavioral Sciences, Immigrant Health and Cancer Disparities Service, Memorial Sloan Kettering Cancer Center, 485 Lexington Avenue, 2nd Floor, New York, NY, 10017, USA.
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
- Department of Healthcare Policy and Research, Weill Cornell Medical College, New York, NY, USA.
| | - Lei Lei
- Department of Psychiatry and Behavioral Sciences, Immigrant Health and Cancer Disparities Service, Memorial Sloan Kettering Cancer Center, 485 Lexington Avenue, 2nd Floor, New York, NY, 10017, USA
| | - Shu Fang Lei
- Department of Psychiatry and Behavioral Sciences, Immigrant Health and Cancer Disparities Service, Memorial Sloan Kettering Cancer Center, 485 Lexington Avenue, 2nd Floor, New York, NY, 10017, USA
| | - Zhiying Zhu
- Department of Psychiatry and Behavioral Sciences, Immigrant Health and Cancer Disparities Service, Memorial Sloan Kettering Cancer Center, 485 Lexington Avenue, 2nd Floor, New York, NY, 10017, USA
| | - Nancy Mo
- Department of Psychiatry and Behavioral Sciences, Immigrant Health and Cancer Disparities Service, Memorial Sloan Kettering Cancer Center, 485 Lexington Avenue, 2nd Floor, New York, NY, 10017, USA
| | - Brian Sou
- Department of Psychiatry and Behavioral Sciences, Immigrant Health and Cancer Disparities Service, Memorial Sloan Kettering Cancer Center, 485 Lexington Avenue, 2nd Floor, New York, NY, 10017, USA
| | - Imran Mujawar
- Department of Psychiatry and Behavioral Sciences, Immigrant Health and Cancer Disparities Service, Memorial Sloan Kettering Cancer Center, 485 Lexington Avenue, 2nd Floor, New York, NY, 10017, USA
| | - Francesca Gany
- Department of Psychiatry and Behavioral Sciences, Immigrant Health and Cancer Disparities Service, Memorial Sloan Kettering Cancer Center, 485 Lexington Avenue, 2nd Floor, New York, NY, 10017, USA
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Department of Healthcare Policy and Research, Weill Cornell Medical College, New York, NY, USA
- Department of Medicine, Weill Cornell Medical College, New York, NY, USA
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Ozdemir H. Mitigation impact of roadside trees on fine particle pollution. THE SCIENCE OF THE TOTAL ENVIRONMENT 2019; 659:1176-1185. [PMID: 31096331 DOI: 10.1016/j.scitotenv.2018.12.262] [Citation(s) in RCA: 36] [Impact Index Per Article: 7.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/26/2016] [Revised: 12/16/2018] [Accepted: 12/17/2018] [Indexed: 06/09/2023]
Abstract
Fine particulate matter (PM2.5) is an important air pollutant due to its adverse health effects. Vehicle emissions make a large contribution to particle concentrations in urban areas. Exposure to particles especially near roadways increases the risk of public health problems. Planting vegetation might be used to capture the fine particles at the roadside, which can lower the health risks for the urban population. Istanbul is the most populous city in Turkey, where the number of non-electric cars is increasing rapidly, resulting in decreasing air quality, especially at the roadsides. Recent studies show that cardiovascular, respiratory and total non-accidental mortality is increasing with short-term exposure to outdoor air pollution in Istanbul. In this study, roadside trees were investigated for the mitigation effect on vehicle-related PM2.5 and heavy metal (HM). Cupressus sempervirens (Mediterranean Cypress trees) were planted in three different cases (i.e., no trees-C1, trees with gaps-C2 and thick trees with no gaps-C3) at the study site. Location of the site is on a dense-traffic roadside in Istanbul, where thousands of people are living, working and walking through two sides of this road. PM2.5 samples and tree leaves were examined in the performed experiments. C2 and C3 showed the importance of roadside tree plantation by reducing the exposure to significantly low levels. Roadside PM2.5 concentrations were reduced by 17% in C3, equivalent to urban background levels in the city. Maximum removal of HMs is observed in nickel from 26.4 ± 7.8 to 7.5 ± 2.4 μg m-3. Pedestrian exposure is calculated with the measured data in three experiments and exposure is significantly reduced (e.g., >50% for cadmium and lead exposure) in experiment C3. In conclusion, three experiments showed that Mediterranean Cypress trees significantly decreased particle pollution at roadsides in Istanbul.
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Affiliation(s)
- Huseyin Ozdemir
- Department of Civil Engineering, Bahcesehir University, 34353 Besiktas, Istanbul, Turkey; Now at Atmospheric Modeling Section, Department of Environmental Science, Aarhus University, Frederiksborgvej 399, Roskilde, Denmark.
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