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Feng Y, Zhang W, Wei J, Jiang D, Tong S, Huang C, Xu Z, Wang X, Tao J, Li Z, Hu J, Zhang Y, Cheng J. Medium-term exposure to size-fractioned particulate matter and asthma exacerbations in China: A longitudinal study of asthmatics with poor medication adherence. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY 2024; 274:116234. [PMID: 38503107 DOI: 10.1016/j.ecoenv.2024.116234] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/25/2024] [Revised: 03/11/2024] [Accepted: 03/14/2024] [Indexed: 03/21/2024]
Abstract
BACKGROUND Studies have shown that short- and long-term exposure to particulate matter (PM) can increase the risk of asthma morbidity and mortality. However, the effect of medium-term exposure remains unknown. We aim to examine the effect of medium-term exposure to size-fractioned PM on asthma exacerbations among asthmatics with poor medication adherence. METHODS We conducted a longitudinal study in China based on the National Mobile Asthma Management System Project that specifically and routinely followed asthma exacerbations in asthmatics with poor medication adherence from April 2017 to May 2019. High-resolution satellite remote-sensing data were used to estimate each participant's medium-term exposure (on average 90 days) to size-fractioned PM (PM1, PM2.5, and PM10) based on the residential address and the date of the follow-up when asthma exacerbations (e.g., hospitalizations and emergency room visits) occurred or the end of the follow-up. The Cox proportional hazards model was employed to examine the hazard ratio of asthma exacerbations associated with each PM after controlling for sex, age, BMI, education level, geographic region, and temperature. RESULTS Modelling results revealed nonlinear exposure-response associations of asthma exacerbations with medium-term exposure to PM1, PM2.5, and PM10. Specifically, for emergency room visits, we found an increased hazard ratio for PM1 above 22.8 µg/m3 (1.060, 95 % CI: 1.025-1.096, per 1 µg/m3 increase), PM2.5 above 38.2 µg/m3 (1.032, 95 % CI: 1.010-1.054), and PM10 above 78.6 µg/m3 (1.019, 95 % CI: 1.006-1.032). For hospitalizations, we also found an increased hazard ratio for PM1 above 20.3 µg/m3 (1.055, 95 % CI: 1.001-1.111) and PM2.5 above 39.2 µg/m3 (1.038, 95 % CI: 1.003-1.074). Furthermore, the effects of PM were greater for a longer exposure window (90-180 days) and among participants with a high BMI. CONCLUSION This study suggests that medium-term exposure to PM is associated with an increased risk of asthma exacerbations in asthmatics with poor medication adherence, with a higher risk from smaller PM.
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Affiliation(s)
- Yufan Feng
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, China; Anhui Province Key Laboratory of Major Autoimmune Disease, Hefei, China
| | - Wenyi Zhang
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, China; Chinese PLA Center for Disease Control and Prevention, Beijing, China
| | - Jing Wei
- Department of Atmospheric and Oceanic Science, Earth System Science Interdisciplinary Center, University of Maryland, College Park, USA
| | - Dingyuan Jiang
- Department of Pulmonary and Critical Care Medicine, Center of Respiratory Medicine, China-Japan Friendship Hospital, National Center for Respiratory Medicine, Beijing, China
| | - Shilu Tong
- National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China; School of Public Health and Social Work, Queensland University of Technology, Brisbane, Australia
| | - Cunrui Huang
- Vanke School of Public Health, Tsinghua University, Beijing, China
| | - Zhiwei Xu
- School of Medicine and Dentistry, Griffith University, Gold Coast, Queensland, Australia
| | - Xiling Wang
- School of Public Health, Key Laboratory of Public Health Safety, Fudan University, Ministry of Education, Shanghai, China
| | - Junwen Tao
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, China; Anhui Province Key Laboratory of Major Autoimmune Disease, Hefei, China
| | - Zhiwei Li
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, China; Anhui Province Key Laboratory of Major Autoimmune Disease, Hefei, China
| | - Jihong Hu
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, China; Anhui Province Key Laboratory of Major Autoimmune Disease, Hefei, China
| | - Yongming Zhang
- Department of Pulmonary and Critical Care Medicine, Center of Respiratory Medicine, China-Japan Friendship Hospital; National Clinical Research Center for Respiratory Diseases, Beijing, 100029, China.
| | - Jian Cheng
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, China; Anhui Province Key Laboratory of Major Autoimmune Disease, Hefei, China.
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Luo P, Ying J, Li J, Yang Z, Sun X, Ye D, Liu C, Wang J, Mao Y. Air Pollution and Allergic Rhinitis: Findings from a Prospective Cohort Study. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2023; 57:15835-15845. [PMID: 37831419 DOI: 10.1021/acs.est.3c04527] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/14/2023]
Abstract
To investigate the association of long-term exposure to ambient air pollution with the risk of allergic rhinitis (AR), we performed a longitudinal analysis of 379,488 participants (47.4% women) free of AR at baseline in the UK Biobank. The annual average concentrations of PM2.5, PMcoarse, PM10, NO2, and NOx were estimated by land use regression models. Cox proportional hazard models were used to calculate hazard ratios (HRs) and 95% confidence intervals (CIs). A weighted polygenic risk score was constructed. During a median follow-up period of 12.5 years, 3095 AR cases were identified. We observed significant associations between the risk of AR and PM2.5 (HR: 1.51, 95% CI: 1.27-1.79, per 5 μg/m3), PMcoarse (HR: 1.28, 95% CI: 1.06-1.55, per 5 μg/m3), PM10 (HR: 1.45, 95% CI: 1.20-1.74, per 10 μg/m3), NO2 (HR: 1.14, 95% CI: 1.09-1.19, per 10 μg/m3), and NOx (HR: 1.10, 95% CI: 1.05-1.15, per 20 μg/m3). Moreover, participants with high air pollution combined with high genetic risk showed the highest risk of AR, although no multiplicative or additive interaction was observed. In conclusion, long-term exposure to air pollutants was associated with an elevated risk of AR, particularly in high-genetic-risk populations, emphasizing the urgent need to improve air quality.
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Affiliation(s)
- Peiyang Luo
- The Fourth School of Clinical Medicine, Zhejiang Chinese Medical University, Hangzhou 310053, China
| | - Jiacheng Ying
- The Fourth School of Clinical Medicine, Zhejiang Chinese Medical University, Hangzhou 310053, China
| | - Jiayu Li
- School of Public Health, Zhejiang Chinese Medical University, Hangzhou 310053, China
| | - Zongming Yang
- Department of Public Health, and Department of Endocrinology of the Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Children's Health, Hangzhou 310058, China
| | - Xiaohui Sun
- School of Public Health, Zhejiang Chinese Medical University, Hangzhou 310053, China
| | - Ding Ye
- School of Public Health, Zhejiang Chinese Medical University, Hangzhou 310053, China
| | - Cuiqing Liu
- School of Public Health, Zhejiang Chinese Medical University, Hangzhou 310053, China
| | - Jianbing Wang
- Department of Public Health, and Department of Endocrinology of the Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Children's Health, Hangzhou 310058, China
| | - Yingying Mao
- School of Public Health, Zhejiang Chinese Medical University, Hangzhou 310053, China
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Shi H, Chen L, Zhang S, Li R, Wu Y, Zou H, Wang C, Cai M, Lin H. Dynamic association of ambient air pollution with incidence and mortality of pulmonary hypertension: A multistate trajectory analysis. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY 2023; 262:115126. [PMID: 37315366 PMCID: PMC10443233 DOI: 10.1016/j.ecoenv.2023.115126] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/20/2023] [Revised: 06/06/2023] [Accepted: 06/08/2023] [Indexed: 06/16/2023]
Abstract
BACKGROUND There is little evidence regarding the association between ambient air pollution and incidence and the mortality of pulmonary hypertension (PH). METHODS We included 494,750 participants at baseline in the UK Biobank study. Exposures to PM2.5, PM10, NO2, and NOx were estimated at geocoded participants' residential addresses, utilizing pollution data provided by UK Department for Environment, Food and Rural Affairs (DEFRA). The outcomes were the incidence and mortality of PH. We used multivariate multistate models to investigate the impacts of various ambient air pollutants on both incidence and mortality of PH. RESULTS During a median follow-up of 11.75 years, 2517 participants developed incident PH, and 696 died. We observed that all ambient air pollutants were associated with increased incidence of PH with different magnitudes, with adjusted hazard ratios (HRs) [95% confidence intervals (95% CIs)] for each interquartile range (IQR) increase of 1.73 (1.65, 1.81) for PM2.5, 1.70 (1.63, 1.78) for PM10, 1.42 (1.37, 1.48) for NO2, and 1.35 (1.31, 1.40) for NOx. Furthermore, PM2.5, PM10, NO2 and NO2 influenced the transition from PH to death, and the corresponding HRs (95% CIs) were 1.35 (1.25, 1.45), 1.31 (1.21, 1.41), 1.28 (1.20, 1.37) and 1.24 (1.17, 1.32), respectively. CONCLUSION The results of our study indicate that exposure to various ambient air pollutants might play key but differential roles in both the incidence and mortality of PH.
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Affiliation(s)
- Hui Shi
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China
| | - Lan Chen
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China
| | - Shiyu Zhang
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China
| | - Rui Li
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China
| | - Yinglin Wu
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China
| | - Hongtao Zou
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China
| | - Chongjian Wang
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou 450001, China
| | - Miao Cai
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China
| | - Hualiang Lin
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China.
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Wang J, Li D, Ma Y, Tang L, Xie J, Hu Y, Tian Y. Long-term Exposure to Ambient Air Pollutants and Increased Risk of Pneumonia in the UK Biobank. Chest 2023:S0012-3692(23)00263-5. [PMID: 36801467 DOI: 10.1016/j.chest.2023.02.018] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2022] [Revised: 02/11/2023] [Accepted: 02/13/2023] [Indexed: 02/21/2023] Open
Abstract
BACKGROUND Short-term exposure to air pollution has been linked to pneumonia risk. However, evidence on the long-term effects of air pollution on pneumonia morbidity is scarce and inconsistent. We investigated the associations of long-term air pollutants exposure with pneumonia and explored the potential interactions with smoking. RESEARCH QUESTION Is long-term exposure to ambient air pollution associated with the risk of pneumonia, and does smoking modify the associations? STUDY DESIGN AND METHODS We analyzed data in 445,473 participants without pneumonia within 1 year before baseline from the UK Biobank. Annual average concentrations of particulate matter (particulate matter with a diameter < 2.5 μm [PM2.5] and particulate matter with a diameter < 10 μm [PM10]), nitrogen dioxide (NO2), and nitrogen oxides (NOx) were estimated using land-use regression models. Cox proportional hazards models were used to assess the associations between air pollutants and pneumonia incidence. Potential interactions between air pollution and smoking were examined on both additive and multiplicative scales. RESULTS The hazard ratios of pneumonia for each interquartile range increase in PM2.5, PM10, NO2, and NOx concentrations were 1.06 (95% CI, 1.04-1.08), 1.10 (95% CI, 1.08-1.12), 1.12 (95% CI, 1.10-1.15), and 1.06 (95% CI, 1.04-1.07), respectively. There were significant additive and multiplicative interactions between air pollution and smoking. Compared with never smokers with low air pollution exposure, ever smokers with high air pollution exposure had the highest pneumonia risk (PM2.5: HR, 1.78; 95% CI, 1.67-1.90; PM10: HR, 1.94; 95% CI, 1.82-2.06; NO2: HR, 2.06; 95% CI, 1.93-2.21; NOx: HR, 1.88; 95% CI, 1.76-2.00). The associations between air pollutants and pneumonia risk persisted in participants exposed to air pollutants concentrations meeting the European Union limits. INTERPRETATION Long-term exposure to air pollutants was associated with an increased risk of pneumonia, especially in smokers.
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Affiliation(s)
- Jianing Wang
- Ministry of Education Key Laboratory of Environment and Health, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China; Department of Maternal and Child Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Dankang Li
- Ministry of Education Key Laboratory of Environment and Health, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China; Department of Maternal and Child Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yudiyang Ma
- Ministry of Education Key Laboratory of Environment and Health, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China; Department of Maternal and Child Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Linxi Tang
- Ministry of Education Key Laboratory of Environment and Health, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China; Department of Maternal and Child Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Junqing Xie
- Center for Statistics in Medicine, NDORMS, University of Oxford, The Botnar Research Centre, Oxford, England
| | - Yonghua Hu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China
| | - Yaohua Tian
- Ministry of Education Key Laboratory of Environment and Health, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China; Department of Maternal and Child Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
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Gu J, Deffner V, Küchenhoff H, Pickford R, Breitner S, Schneider A, Kowalski M, Peters A, Lutz M, Kerschbaumer A, Slama R, Morelli X, Wichmann HE, Cyrys J. Low emission zones reduced PM 10 but not NO 2 concentrations in Berlin and Munich, Germany. JOURNAL OF ENVIRONMENTAL MANAGEMENT 2022; 302:114048. [PMID: 34872181 DOI: 10.1016/j.jenvman.2021.114048] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/13/2021] [Revised: 10/20/2021] [Accepted: 10/30/2021] [Indexed: 06/13/2023]
Abstract
Low emission zones (LEZs) aiming at improving the air quality in urban areas have been implemented in many European cities. However, studies are limited in evaluating the effects of LEZ, and most of which used simple methods. In this study, a general additive mixed model was utilized to account for confounders in the atmosphere and validate the effects of LEZ on PM10 and NO2 concentrations in two German cities. In addition, the effects of LEZ on elemental carbon (EC) and total carbon (TC) in Berlin were also evaluated. The LEZ effects were estimated after taking into account air pollutant concentrations at a reference site located in the regional background, and adjusting for hour of the week, public holidays, season, and wind direction. The LEZ in Berlin, and the LEZ in combination with the heavy-duty vehicle (HDV) transit ban in Munich significantly reduced the PM10 concentrations, at both traffic sites (TS) and urban background sites (UB). The effects were greater in LEZ stage 3 than in LEZ stages 2 and 1. Moreover, compared with PM10, LEZ was more efficient in reducing EC, a component that is considered more toxic than PM10 mass. In contrast, the LEZ had no consistent effect on NO2 levels: no effects were observed in Berlin; in Munich, the combination of the LEZ and the HDV transit ban reduced NO2 at UB site in LEZ stage 1, but without further reductions in subsequent stages of the LEZ. Overall, our study indicated that LEZs, which target the major primary air pollution source in the highly populated city center could be an effective way to improve urban air quality such as PM mass concentration and EC level.
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Affiliation(s)
- Jianwei Gu
- Institute of Environmental Health and Pollution Control, School of Environmental Science and Engineering, Guangdong University of Technology, 510006, Guangzhou, China; Institute of Epidemiology, Helmholtz Zentrum München, Ingolstädter Landstr. 1, 85764, Neuherberg, Germany; Environment Science Center, University of Augsburg, Universitätsstr. 1a, 86159, Augsburg, Germany.
| | - Veronika Deffner
- Statistical Consulting Unit StaBLab, Department of Statistics, Ludwig-Maximilians-Universität Munich, Akademiestr. 1, 80799, Munich, Germany
| | - Helmut Küchenhoff
- Statistical Consulting Unit StaBLab, Department of Statistics, Ludwig-Maximilians-Universität Munich, Akademiestr. 1, 80799, Munich, Germany
| | - Regina Pickford
- Institute of Epidemiology, Helmholtz Zentrum München, Ingolstädter Landstr. 1, 85764, Neuherberg, Germany
| | - Susanne Breitner
- Institute of Epidemiology, Helmholtz Zentrum München, Ingolstädter Landstr. 1, 85764, Neuherberg, Germany
| | - Alexandra Schneider
- Institute of Epidemiology, Helmholtz Zentrum München, Ingolstädter Landstr. 1, 85764, Neuherberg, Germany
| | - Michal Kowalski
- Institute of Epidemiology, Helmholtz Zentrum München, Ingolstädter Landstr. 1, 85764, Neuherberg, Germany; Environment Science Center, University of Augsburg, Universitätsstr. 1a, 86159, Augsburg, Germany
| | - Annette Peters
- Institute of Epidemiology, Helmholtz Zentrum München, Ingolstädter Landstr. 1, 85764, Neuherberg, Germany
| | - Martin Lutz
- Senate Department for the Environment, Transport and Climate Protection, Referat Immissionsschutz, Brückenstraße 6, 10179, Berlin, Germany
| | - Andreas Kerschbaumer
- Senate Department for the Environment, Transport and Climate Protection, Referat Immissionsschutz, Brückenstraße 6, 10179, Berlin, Germany
| | - Rémy Slama
- Inserm, CNRS, University Grenoble-Alpes, Institute of Advanced Biosciences (IAB) Joint Research Center, Team of Environmental Epidemiology, Grenoble, La Tronche, France
| | - Xavier Morelli
- Inserm, CNRS, University Grenoble-Alpes, Institute of Advanced Biosciences (IAB) Joint Research Center, Team of Environmental Epidemiology, Grenoble, La Tronche, France
| | - Heinz-Erich Wichmann
- Institute of Epidemiology, Helmholtz Zentrum München, Ingolstädter Landstr. 1, 85764, Neuherberg, Germany
| | - Josef Cyrys
- Institute of Epidemiology, Helmholtz Zentrum München, Ingolstädter Landstr. 1, 85764, Neuherberg, Germany.
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Huang Y, Zhu M, Ji M, Fan J, Xie J, Wei X, Jiang X, Xu J, Chen L, Yin R, Wang Y, Dai J, Jin G, Xu L, Hu Z, Ma H, Shen H. Air Pollution, Genetic Factors and the Risk of Lung Cancer: A Prospective Study in the UK Biobank. Am J Respir Crit Care Med 2021; 204:817-825. [PMID: 34252012 DOI: 10.1164/rccm.202011-4063oc] [Citation(s) in RCA: 133] [Impact Index Per Article: 44.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/09/2022] Open
Abstract
Rationale: Both genetic and environmental factors contribute to lung cancer, but the degree to which air pollution modifies the impact of genetic susceptibility on lung cancer remains unknown. Objectives: To investigate whether air pollution and genetic factors jointly contribute to incident lung cancer. Methods: We analyzed data from 455,974 participants (53% women) without previous cancer at baseline in the UK Biobank. The concentrations of particulate matter (PM2.5, PMcoarse and PM10), nitrogen dioxide (NO2), and nitrogen oxides (NOx) were estimated by land-use regression models, and the association between air pollutants and incident lung cancer was investigated using a Cox proportional hazard model. Furthermore, we constructed a polygenic risk score and evaluated whether air pollutants modified the effect of genetic susceptibility on the development of lung cancer. Measurements and Main Results: The results showed significant associations between the risk of lung cancer and PM2.5 (hazard ratio [HR]: 1.63, 95% confidence interval [CI]: 1.33-2.01; per 5 μg/m3), PM10 (1.53, 1.20-1.96; per 10 μg/m3), NO2 (1.10, 1.05-1.15; per 10 μg/m3), and NOx (1.13, 1.07-1.18; per 20 μg/m3). There were additive interactions between air pollutants and the genetic risk. Compared with participants with low genetic risk and low air pollution, those with high air pollution and high genetic risk had the highest risk of lung cancer (PM2.5: HR: 1.71, 95% CI:1.45-2.02; PM10: 1.77, 1.50-2.10; NO2: 1.77, 1.42-2.22; NOx: 1.67, 1.43-1.95). Conclusion: Long-term exposure to air pollution may increase the risk of lung cancer, especially in those with high genetic risk.
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Affiliation(s)
- Yanqian Huang
- Nanjing Medical University School of Public Health, 572407, Department of Epidemiology, Center for Global Health, Nanjing, China
| | - Meng Zhu
- Nanjing Medical University School of Public Health, 572407, Department of Epidemiology, Center for Global Health, Nanjing, China.,Nanjing Medical University, 12461, Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing, China.,Jiangsu Institute of Cancer Research, 26481, Department of Thoracic Surgery, Jiangsu Key Laboratory of Molecular and Translational Cancer Research, Jiangsu Cancer Hospital, The Affiliated Cancer Hospital of Nanjing Medical University, Nanjing, China
| | - Mengmeng Ji
- Nanjing Medical University School of Public Health, 572407, Department of Epidemiology, Center for Global Health, Nanjing, China
| | - Jingyi Fan
- Nanjing Medical University School of Public Health, 572407, Department of Epidemiology, Center for Global Health, Nanjing, China
| | - Junxing Xie
- Nanjing Medical University School of Public Health, 572407, Department of Epidemiology, Center for Global Health, Nanjing, China
| | - Xiaoxia Wei
- Nanjing Medical University School of Public Health, 572407, Department of Epidemiology, Center for Global Health, Nanjing, China
| | - Xiangxiang Jiang
- Nanjing Medical University School of Public Health, 572407, Department of Epidemiology, Center for Global Health, Nanjing, China
| | - Jing Xu
- Jiangsu Province People's Hospital and Nanjing Medical University First Affiliated Hospital, 74734, Department of Thoracic Surgery, Nanjing, China
| | - Liang Chen
- Jiangsu Province People's Hospital and Nanjing Medical University First Affiliated Hospital, 74734, Department of Thoracic Surgery, Nanjing, China
| | - Rong Yin
- Jiangsu Institute of Cancer Research, 26481, Department of Thoracic Surgery, Jiangsu Key Laboratory of Molecular and Translational Cancer Research, Jiangsu Cancer Hospital, The Affiliated Cancer Hospital of Nanjing Medical University, Nanjing, China
| | - Yuzhuo Wang
- Nanjing Medical University School of Public Health, 572407, Department of Epidemiology, Center for Global Health, Nanjing, China.,Jiangsu Institute of Cancer Research, 26481, Department of Thoracic Surgery, Jiangsu Key Laboratory of Molecular and Translational Cancer Research, Jiangsu Cancer Hospital, The Affiliated Cancer Hospital of Nanjing Medical University, Nanjing, China
| | - Juncheng Dai
- Nanjing Medical University School of Public Health, 572407, Department of Epidemiology, Center for Global Health, Nanjing, China.,Nanjing Medical University, 12461, Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing, China
| | - Guangfu Jin
- Nanjing Medical University School of Public Health, 572407, Department of Epidemiology, Center for Global Health, Nanjing, China.,Nanjing Medical University, 12461, Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing, China
| | - Lin Xu
- Jiangsu Institute of Cancer Research, 26481, Department of Thoracic Surgery, Jiangsu Key Laboratory of Molecular and Translational Cancer Research, Jiangsu Cancer Hospital, The Affiliated Cancer Hospital of Nanjing Medical University, Nanjing, China
| | - Zhibin Hu
- Nanjing Medical University School of Public Health, 572407, Department of Epidemiology, Center for Global Health, Nanjing, China.,Nanjing Medical University, 12461, Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing, China
| | - Hongxia Ma
- Nanjing Medical University School of Public Health, 572407, Department of Epidemiology, Center for Global Health, Nanjing, China.,Nanjing Medical University, 12461, Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing, China;
| | - Hongbing Shen
- Nanjing Medical University School of Public Health, 572407, Department of Epidemiology, Center for Global Health, Nanjing, China.,Nanjing Medical University, 12461, Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing, China.,Chinese Academy of Medical Sciences and Peking Union Medical College, 12501, Research Units of Cohort Study on Cardiovascular Diseases and Cancers, Beijing, China
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Viana M, de Leeuw F, Bartonova A, Castell N, Ozturk E, González Ortiz A. Air quality mitigation in European cities: Status and challenges ahead. ENVIRONMENT INTERNATIONAL 2020; 143:105907. [PMID: 32645487 DOI: 10.1016/j.envint.2020.105907] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/06/2020] [Revised: 06/15/2020] [Accepted: 06/17/2020] [Indexed: 06/11/2023]
Abstract
Cities are currently at the core of air quality (AQ) improvement. The present work provides an overview of AQ management strategies and outcomes in 10 European cities (Antwerp, Berlin, Dublin, Madrid, Malmö, Milan, Paris, Plovdiv, Prague, Vienna) in 2018, and their evolution since 2013 (same cities, plus Ploiesti and Vilnius), based on first-hand input from AQ managers. The status of AQ mitigation in 2018, and its evolution since 2013, were assessed. While results evidenced that the majority of mitigation strategies targeted road traffic, emerging sources such as inland shipping, construction/demolition and recreational wood burning were identified. Several cities had in 2018 the ambition to continue decreasing air pollution concentrations to meet WHO guidelines, an ambition which had not yet been identified in 2013. Specific needs identified by all of the cities assessed were tools to quantify the effectiveness of mitigation strategies and for cost-benefit analysis, as well as specific and up to date technical guidance on real-world road vehicle emissions. The cities also requested guidance to identify mitigation measures promoting co-benefits, e.g., in terms of AQ, climate change, and noise. Support from administrations at local-regional-national-EU scales, and especially involving local policy-makers early on in the air quality management process, was considered essential. This work provides insight into the drivers of successful/unsuccessful AQ policies as well as on the challenges faced during their implementation. We identify knowledge gaps and provide input to the research and policy-making communities as to specific needs of cities.
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Affiliation(s)
- M Viana
- IDAEA-CSIC, Barcelona, Spain.
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Eguiluz‐Gracia I, Mathioudakis AG, Bartel S, Vijverberg SJH, Fuertes E, Comberiati P, Cai YS, Tomazic PV, Diamant Z, Vestbo J, Galan C, Hoffmann B. The need for clean air: The way air pollution and climate change affect allergic rhinitis and asthma. Allergy 2020; 75:2170-2184. [PMID: 31916265 DOI: 10.1111/all.14177] [Citation(s) in RCA: 182] [Impact Index Per Article: 45.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/24/2019] [Revised: 12/20/2019] [Accepted: 12/27/2019] [Indexed: 02/06/2023]
Abstract
Air pollution and climate change have a significant impact on human health and well-being and contribute to the onset and aggravation of allergic rhinitis and asthma among other chronic respiratory diseases. In Westernized countries, households have experienced a process of increasing insulation and individuals tend to spend most of their time indoors. These sequelae implicate a high exposure to indoor allergens (house dust mites, pets, molds, etc), tobacco smoke, and other pollutants, which have an impact on respiratory health. Outdoor air pollution derived from traffic and other human activities not only has a direct negative effect on human health but also enhances the allergenicity of some plants and contributes to global warming. Climate change modifies the availability and distribution of plant- and fungal-derived allergens and increases the frequency of extreme climate events. This review summarizes the effects of indoor air pollution, outdoor air pollution, and subsequent climate change on asthma and allergic rhinitis in children and adults and addresses the policy adjustments and lifestyle changes required to mitigate their deleterious effects.
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Affiliation(s)
- Ibon Eguiluz‐Gracia
- Allergy Unit IBIMA‐Hospital Regional Universitario de Malaga‐UMA Malaga Spain
| | - Alexander G. Mathioudakis
- Division of Infection, Immunity and Respiratory Medicine School of Biological Sciences The University of Manchester Manchester Academic Health Science Centre UK
- North West Lung Centre Wythenshawe Hospital Manchester University NHS Foundation Trust Southmoor Road Manchester UK
| | - Sabine Bartel
- Early Life Origins of Chronic Lung Disease, Research Center Borstel Leibniz Lung Center Member of the German Research Center for Lung Research (DZL) Borstel Germany
- Department of Pathology and Medical Biology University Medical Center Groningen GRIAC Research Institute University of Groningen Groningen The Netherlands
| | - Susanne J. H. Vijverberg
- Department of Respiratory Medicine Amsterdam UMC University of Amsterdam Amsterdam The Netherlands
| | - Elaine Fuertes
- National Heart and Lung Institute Imperial College London London UK
| | - Pasquale Comberiati
- Section of Paediatrics Department of Clinical and Experimental Medicine University of Pisa Pisa Italy
- Department of Clinical Immunology and Allergology Sechenov University Moscow Russia
| | - Yutong Samuel Cai
- Department of Epidemiology and Biostatistics MRC Centre for Environment and Health School of Public Health Imperial College London London UK
- The George Institute for Global Health University of Oxford Oxford UK
| | - Peter Valentin Tomazic
- Department of General ORL, Head and Neck Surgery Medical University of Graz Graz Austria
| | - Zuzana Diamant
- Department of Respiratory Medicine & Allergology Institute for Clinical Science Skane University Hospital Lund University Lund Sweden
- Department of Respiratory Medicine First Faculty of Medicine Charles University and Thomayer Hospital Prague Czech Republic
| | - Jørgen Vestbo
- Division of Infection, Immunity and Respiratory Medicine School of Biological Sciences The University of Manchester Manchester Academic Health Science Centre UK
- North West Lung Centre Wythenshawe Hospital Manchester University NHS Foundation Trust Southmoor Road Manchester UK
| | - Carmen Galan
- Department of Botany, Ecology and Plant Physiology International Campus of Excellence on Agrifood (ceiA3) University of Córdoba Córdoba Spain
| | - Barbara Hoffmann
- Institute for Occupational, Social and Environmental Medicine Medical Faculty University of Düsseldorf Düsseldorf Germany
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10
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Esbrí JM, Izquierdo C, Martínez-Coronado A, Miteva I, Higueras PL. Particulate matter and particulate-bound mercury in a heavily polluted site related to ancient mining and metallurgy: a proposal for dry deposition modeling based on micrometeorological conditions. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2018; 25:35312-35321. [PMID: 30341760 DOI: 10.1007/s11356-018-3470-4] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/04/2018] [Accepted: 10/16/2018] [Indexed: 06/08/2023]
Abstract
This manuscript reported data for total suspended particulate matter (TSPM), particle-bound mercury (PBM), and total gaseous mercury (TGM) in Almadenejos, a rural zone of ancient Hg mining and metallurgical works. Concentrations of TSPM characterize the study site as being a rural area, with levels below 40 μg m-3 during most of the year and sporadic events involving dust intrusions from Africa. Mercury speciation of PM and nearby soils, which contain both cinnabar and organic Hg, confirms that the PM comes from local soil emissions involving the soils polluted by ancient metallurgical works. Conversely, PBM and TGM levels (average 1.8 ng m-3 and 88 ng m-3, respectively) define Almadenejos as a contaminated site similar to urban areas. A multiple linear regression analysis showed that evapotranspiration is the micrometeorological parameter that best explains the TSPM and PBM data, with the creation of a diurnal mixing layer being the main process involved in Hg emissions in the solid and gaseous states. Based on these findings, a micrometeorological-based model has been developed to acquire a complete set of daily PBM data and these were used to obtain dry deposition rates (317 μg m-2 year-1), which were seasonally distributed as 40% in summer, 33% in autumn, 16% in spring, and 11% in winter. In addition, an estimation of PBM emissions showed that 335 g year-1 can be suspended in the Almadenejos environment. A large proportion of this PBM should be removed from the atmosphere through dry deposition in a continuous Hg exchange at the soil-atmosphere interface. Mercury fractionation (cinnabar and organic Hg) can increase the risk to the human population and nearby ecosystems of Almadenejos.
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Affiliation(s)
- José Mª Esbrí
- Instituto de Geología Aplicada, Escuela de Ingeniería Minera e Industrial de Almadén, Universidad de Castilla-La Mancha, Plaza M. Meca 1, Almadén, 13400, Ciudad Real, Spain.
| | - Celia Izquierdo
- Instituto de Geología Aplicada, Escuela de Ingeniería Minera e Industrial de Almadén, Universidad de Castilla-La Mancha, Plaza M. Meca 1, Almadén, 13400, Ciudad Real, Spain
| | - Alba Martínez-Coronado
- Instituto de Geología Aplicada, Escuela de Ingeniería Minera e Industrial de Almadén, Universidad de Castilla-La Mancha, Plaza M. Meca 1, Almadén, 13400, Ciudad Real, Spain
| | - Iva Miteva
- Instituto de Geología Aplicada, Escuela de Ingeniería Minera e Industrial de Almadén, Universidad de Castilla-La Mancha, Plaza M. Meca 1, Almadén, 13400, Ciudad Real, Spain
- University of Mining and Geology "St. Ivan Rilski", 1700, Sofia, Bulgaria
| | - Pablo L Higueras
- Instituto de Geología Aplicada, Escuela de Ingeniería Minera e Industrial de Almadén, Universidad de Castilla-La Mancha, Plaza M. Meca 1, Almadén, 13400, Ciudad Real, Spain
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11
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Horváth I, Barry M, Brusselle G, Burghuber OC, Bush A, Robalo Cordeiro C, Gaga M, Gratziou C, Saraiva I, Stolz D, Troosters T, Welte T, Migliori GB, Joos G. The European Respiratory Society's 10 Principles for Lung Health. Eur Respir J 2018; 52:52/5/1801373. [PMID: 30498051 DOI: 10.1183/13993003.01373-2018] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2018] [Accepted: 09/12/2018] [Indexed: 11/05/2022]
Affiliation(s)
| | - Maeve Barry
- European Respiratory Society, Brussels, Belgium
| | - Guy Brusselle
- Ghent University Hospital, Dept of Respiratory Diseases, Ghent, Belgium
| | | | - Andrew Bush
- Royal Brompton and Harefield NHS Foundation Trust, London, UK
| | | | - Mina Gaga
- Athens Chest Hospital Sotiria, 7th Respiratory Medicine Dept, Athens, Greece
| | | | | | - Daiana Stolz
- University Hospital Basel, Pulmonary Care Division, Basel, Switzerland
| | | | - Tobias Welte
- University of Hannover, Dept of Respiratory Medicine, Member of the German Center of Lung Research (DZL), Hannover, Germany
| | | | - Guy Joos
- Ghent University Hospital, Dept of Respiratory Diseases, Ghent, Belgium
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12
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de Hoogh K, Héritier H, Stafoggia M, Künzli N, Kloog I. Modelling daily PM 2.5 concentrations at high spatio-temporal resolution across Switzerland. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2018; 233:1147-1154. [PMID: 29037492 DOI: 10.1016/j.envpol.2017.10.025] [Citation(s) in RCA: 45] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/09/2017] [Revised: 09/04/2017] [Accepted: 10/06/2017] [Indexed: 05/27/2023]
Abstract
Spatiotemporal resolved models were developed predicting daily fine particulate matter (PM2.5) concentrations across Switzerland from 2003 to 2013. Relatively sparse PM2.5 monitoring data was supplemented by imputing PM2.5 concentrations at PM10 sites, using PM2.5/PM10 ratios at co-located sites. Daily PM2.5 concentrations were first estimated at a 1 × 1km resolution across Switzerland, using Multiangle Implementation of Atmospheric Correction (MAIAC) spectral aerosol optical depth (AOD) data in combination with spatiotemporal predictor data in a four stage approach. Mixed effect models (1) were used to predict PM2.5 in cells with AOD but without PM2.5 measurements (2). A generalized additive mixed model with spatial smoothing was applied to generate grid cell predictions for those grid cells where AOD was missing (3). Finally, local PM2.5 predictions were estimated at each monitoring site by regressing the residuals from the 1 × 1km estimate against local spatial and temporal variables using machine learning techniques (4) and adding them to the stage 3 global estimates. The global (1 km) and local (100 m) models explained on average 73% of the total,71% of the spatial and 75% of the temporal variation (all cross validated) globally and on average 89% (total) 95% (spatial) and 88% (temporal) of the variation locally in measured PM2.5 concentrations.
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Affiliation(s)
- Kees de Hoogh
- Swiss Tropical and Public Health Institute, Basel, Switzerland; University of Basel, Basel, Switzerland.
| | - Harris Héritier
- Swiss Tropical and Public Health Institute, Basel, Switzerland; University of Basel, Basel, Switzerland
| | - Massimo Stafoggia
- Department of Epidemiology, Lazio Regional Health Service, Rome, Italy
| | - Nino Künzli
- Swiss Tropical and Public Health Institute, Basel, Switzerland; University of Basel, Basel, Switzerland
| | - Itai Kloog
- Department of Geography and Environmental Development, Ben-Gurion University of the Negev, P.O.B. 653, Beer Sheva, Israel
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13
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Kutlar Joss M, Eeftens M, Gintowt E, Kappeler R, Künzli N. Time to harmonize national ambient air quality standards. Int J Public Health 2017; 62:453-462. [PMID: 28243681 PMCID: PMC5397445 DOI: 10.1007/s00038-017-0952-y] [Citation(s) in RCA: 54] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2016] [Revised: 01/16/2017] [Accepted: 01/18/2017] [Indexed: 01/19/2023] Open
Abstract
OBJECTIVES The World Health Organization has developed ambient air quality guidelines at levels considered to be safe or of acceptable risk for human health. These guidelines are meant to support governments in defining national standards. It is unclear how they are followed. METHODS We compiled an inventory of ambient air quality standards for 194 countries worldwide for six air pollutants: PM2.5, PM10, ozone, nitrogen dioxide, sulphur dioxide and carbon monoxide. We conducted literature and internet searches and asked country representatives about national ambient air quality standards. RESULTS We found information on 170 countries including 57 countries that did not set any air quality standards. Levels varied greatly by country and by pollutant. Ambient air quality standards for PM2.5, PM10 and SO2 poorly complied with WHO guideline values. The agreement was higher for CO, SO2 (10-min averaging time) and NO2. CONCLUSIONS Regulatory differences mirror the differences in air quality and the related burden of disease around the globe. Governments worldwide should adopt science based air quality standards and clean air management plans to continuously improve air quality locally, nationally, and globally.
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Affiliation(s)
- Meltem Kutlar Joss
- Swiss Tropical and Public Health Institute, P.O. Box 4002, Basel, Switzerland.
- University of Basel, Basel, Switzerland.
| | - Marloes Eeftens
- Swiss Tropical and Public Health Institute, P.O. Box 4002, Basel, Switzerland
- University of Basel, Basel, Switzerland
| | - Emily Gintowt
- Swiss Tropical and Public Health Institute, P.O. Box 4002, Basel, Switzerland
- University of Basel, Basel, Switzerland
| | - Ron Kappeler
- Swiss Tropical and Public Health Institute, P.O. Box 4002, Basel, Switzerland
- University of Basel, Basel, Switzerland
| | - Nino Künzli
- Swiss Tropical and Public Health Institute, P.O. Box 4002, Basel, Switzerland
- University of Basel, Basel, Switzerland
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14
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Affiliation(s)
- Bert Brunekreef
- Institute for Risk Assessment Sciences, Utrecht University, 3508TD Utrecht, Netherlands; Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, Netherlands.
| | - Barbara Hoffmann
- Institute of Occupational and Social Medicine, Centre for Health and Society, Medical Faculty, Heinrich-Heine-University of Düsseldorf, Düsseldorf, Germany
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15
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Annesi-Maesano I. It is not time to lower the guard! Eur Respir J 2015; 45:589-91. [PMID: 25726533 DOI: 10.1183/09031936.00008415] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Affiliation(s)
- Isabella Annesi-Maesano
- Epidemiology of Allergic and Respiratory Diseases (EPAR), INSERM, UMR-S 1136, IPLESP, Paris, France Epidemiology of Allergic and Respiratory Diseases (EPAR), UPMC, UMR-S 1136, IPLESP, Paris, France
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16
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Samara C, Kouras A, Kaidoglou K, Emmanouil-Nikoloussi EN, Simou C, Bousnaki M, Kelessis A. Ultrastructural alterations in the mouse lung caused by real-life ambient PM10 at urban traffic sites. THE SCIENCE OF THE TOTAL ENVIRONMENT 2015; 532:327-336. [PMID: 26081735 DOI: 10.1016/j.scitotenv.2015.05.139] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/24/2015] [Revised: 05/19/2015] [Accepted: 05/31/2015] [Indexed: 06/04/2023]
Abstract
Current levels of ambient air particulate matter (PM) are associated with mortality and morbidity in urban populations worldwide. Nevertheless, current knowledge does not allow precise quantification or definitive ranking of the health effects of individual PM components and indeed, associations may be the result of multiple components acting on different physiological mechanisms. In this paper, healthy Balb/c mice were exposed to ambient PM10 at a traffic site of a large city (Thessaloniki, northern Greece), in parallel to control mice that were exposed to filtered air. Structural damages were examined in ultrafine sections of lung tissues by Transmission Electronic Microscopy (TEM). Ambient PM10 samples were also collected during the exposure experiment and characterized with respect to chemical composition and oxidative potential. Severe ultrastructural alterations in the lung tissue after a 10-week exposure of mice at PM10 levels often exceeding the daily limit of Directive 2008/50/EC were revealed mainly implying PM-induced oxidative stress. The DTT-based redox activity of PM10 was found within the range of values reported for traffic sites being correlated with traffic-related constituents. Although linkage of the observed lung damage with specific chemical components or sources need further elucidation, the magnitude of biological responses highlight the necessity for national and local strategies for mitigation of particle emissions from combustion sources.
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Affiliation(s)
- Constantini Samara
- Environmental Pollution Control Laboratory, Department of Chemistry, Aristotle University of Thessaloniki, 541 24 Thesaloniki, Greece.
| | - Athanasios Kouras
- Environmental Pollution Control Laboratory, Department of Chemistry, Aristotle University of Thessaloniki, 541 24 Thesaloniki, Greece
| | - Katerina Kaidoglou
- Environmental Pollution Control Laboratory, Department of Chemistry, Aristotle University of Thessaloniki, 541 24 Thesaloniki, Greece
| | - Elpida-Niki Emmanouil-Nikoloussi
- Laboratory of Histology-Embryology and Anthropology, School of Medicine, Aristotle University of Thessaloniki, 541 24 Thesaloniki, Greece
| | - Chrysanthi Simou
- Laboratory of Histology-Embryology and Anthropology, School of Medicine, Aristotle University of Thessaloniki, 541 24 Thesaloniki, Greece
| | - Maria Bousnaki
- Laboratory of Histology-Embryology and Anthropology, School of Medicine, Aristotle University of Thessaloniki, 541 24 Thesaloniki, Greece
| | - Apostolos Kelessis
- Environmental Department, Municipality of Thessaloniki, Kleanthous 18, 54 642 Thessaloniki, Greece
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17
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Sigsgaard T, Forsberg B, Annesi-Maesano I, Blomberg A, Bølling A, Boman C, Bønløkke J, Brauer M, Bruce N, Héroux ME, Hirvonen MR, Kelly F, Künzli N, Lundbäck B, Moshammer H, Noonan C, Pagels J, Sallsten G, Sculier JP, Brunekreef B. Health impacts of anthropogenic biomass burning in the developed world. Eur Respir J 2015; 46:1577-88. [PMID: 26405285 DOI: 10.1183/13993003.01865-2014] [Citation(s) in RCA: 103] [Impact Index Per Article: 11.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2014] [Accepted: 09/01/2015] [Indexed: 11/05/2022]
Abstract
Climate change policies have stimulated a shift towards renewable energy sources such as biomass. The economic crisis of 2008 has also increased the practice of household biomass burning as it is often cheaper than using oil, gas or electricity for heating. As a result, household biomass combustion is becoming an important source of air pollutants in the European Union.This position paper discusses the contribution of biomass combustion to pollution levels in Europe, and the emerging evidence on the adverse health effects of biomass combustion products.Epidemiological studies in the developed world have documented associations between indoor and outdoor exposure to biomass combustion products and a range of adverse health effects. A conservative estimate of the current contribution of biomass smoke to premature mortality in Europe amounts to at least 40 000 deaths per year.We conclude that emissions from current biomass combustion products negatively affect respiratory and, possibly, cardiovascular health in Europe. Biomass combustion emissions, in contrast to emissions from most other sources of air pollution, are increasing. More needs to be done to further document the health effects of biomass combustion in Europe, and to reduce emissions of harmful biomass combustion products to protect public health.
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Affiliation(s)
- Torben Sigsgaard
- University of Aarhus, Institute of Public Health, Aarhus, Denmark
| | - Bertil Forsberg
- Dept of Public Health and Clinical Medicine/Environmental Medicine, Umeå University, Umeå, Sweden
| | - Isabella Annesi-Maesano
- INSERM UMR-S 1136, Institute Pierre Louis of Epidemiology and Public Health, Epidemiology of Allergic and Respiratory Diseases, Paris, France UPMC, UMR-S 1136, Institute Pierre Louis of Epidemiology and Public Health, Epidemiology of Allergic and Respiratory Diseases, Paris, France
| | - Anders Blomberg
- Dept of Public Health and Clinical Medicine/Medicine, Umeå University, Umeå, Sweden
| | - Anette Bølling
- Norwegian Institute of Public Health, Division of Environmental Medicine, Dept of Air Pollution and Noise, Oslo, Norway
| | - Christoffer Boman
- Thermochemical Energy Conversion Laboratory, Dept of Applied Physics and Electronics, Umeå University, Umeå, Sweden
| | - Jakob Bønløkke
- University of Aarhus, Institute of Public Health, Aarhus, Denmark
| | - Michael Brauer
- University of British Columbia, School of Population and Public Health, Vancouver, BC, Canada
| | | | | | | | | | - Nino Künzli
- Swiss Tropical and Public Health Institute, Basel, Switzerland, University of Basel, Basel, Switzerland
| | - Bo Lundbäck
- Krefting Research Centre, Institute of Medicine, University of Gothenburg, Gothenburg, Sweden
| | - Hanns Moshammer
- Medical University of Vienna, Institute of Environmental Health, Vienna, Austria
| | - Curtis Noonan
- The University of Montana, Center for Environmental Health Sciences, Missoula, MT, USA
| | - Joachim Pagels
- Lund University, Ergonomics and Aerosol Technology, Lund, Sweden
| | - Gerd Sallsten
- Division of Occupational and Environmental Medicine, Institute of Medicine, University of Gothenburg, Gothenburg, Sweden
| | | | - Bert Brunekreef
- Utrecht University, Institute for Risk Assessment Sciences, Utrecht, The Netherlands Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, The Netherlands
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