Ambient Particulate Air Pollution and Daily Mortality in 652 Cities

BACKGROUND The systematic evaluation of the results of time-series studies of air pollution is challenged by differences in model specification and publication bias. METHODS We evaluated the associations of inhalable particulate matter (PM) with an aerodynamic diameter of 10 μm or less (PM10) and fine PM with an aerodynamic diameter of 2.5 μm or less (PM2.5) with daily all-cause, cardiovascular, and respiratory mortality across multiple countries or regions. Daily data on mortality and air pollution were collected from 652 cities in 24 countries or regions. We used overdispersed generalized additive models with random-effects meta-analysis to investigate the associations. Two-pollutant models were fitted to test the robustness of the associations. Concentration–response curves from each city were pooled to allow global estimates to be derived. RESULTS On average, an increase of 10 μg per cubic meter in the 2-day moving average of PM10 concentration, which represents the average over the current and previous day, was associated with increases of 0.44% (95% confidence interval [CI], 0.39 to 0.50) in daily all-cause mortality, 0.36% (95% CI, 0.30 to 0.43) in daily cardiovascular mortality, and 0.47% (95% CI, 0.35 to 0.58) in daily respiratory mortality. The corresponding increases in daily mortality for the same change in PM2.5 concentration were 0.68% (95% CI, 0.59 to 0.77), 0.55% (95% CI, 0.45 to 0.66), and 0.74% (95% CI, 0.53 to 0.95). These associations remained significant after adjustment for gaseous pollutants. Associations were stronger in locations with lower annual mean PM concentrations and higher annual mean temperatures. The pooled concentration–response curves showed a consistent increase in daily mortality with increasing PM concentration, with steeper slopes at lower PM concentrations. CONCLUSIONS Our data show independent associations between short-term exposure to PM10 and PM2.5 and daily all-cause, cardiovascular, and respiratory mortality in more than 600 cities across the globe. These data reinforce the evidence of a link between mortality and PM concentration established in regional and local studies. (Funded by the National Natural Science Foundation of China and others.) Copyright © 2019 Massachusetts Medical Society.

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Main Authors: Liu, Cong, Chen, Renjie, Sera, Francesco, Vicedo-Cabrera, Ana Maria, Tobías, Aurelio, Cohen, Aaron J., Gasparrini, Antonio
Other Authors: Tobías, Aurelio [0000-0001-6428-6755]
Format: artículo biblioteca
Language:English
Published: Massachusetts Medical Society 2019-08-28
Subjects:Particulate matter, Air pollution, Long-term exposure,
Online Access:http://hdl.handle.net/10261/199798
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id dig-idaea-es-10261-199798
record_format koha
institution IDAEA ES
collection DSpace
country España
countrycode ES
component Bibliográfico
access En linea
databasecode dig-idaea-es
tag biblioteca
region Europa del Sur
libraryname Biblioteca del IDAEA España
language English
topic Particulate matter
Air pollution
Long-term exposure
Particulate matter
Air pollution
Long-term exposure
spellingShingle Particulate matter
Air pollution
Long-term exposure
Particulate matter
Air pollution
Long-term exposure
Liu, Cong
Chen, Renjie
Sera, Francesco
Vicedo-Cabrera, Ana Maria
Tobías, Aurelio
Cohen, Aaron J.
Gasparrini, Antonio
Ambient Particulate Air Pollution and Daily Mortality in 652 Cities
description BACKGROUND The systematic evaluation of the results of time-series studies of air pollution is challenged by differences in model specification and publication bias. METHODS We evaluated the associations of inhalable particulate matter (PM) with an aerodynamic diameter of 10 μm or less (PM10) and fine PM with an aerodynamic diameter of 2.5 μm or less (PM2.5) with daily all-cause, cardiovascular, and respiratory mortality across multiple countries or regions. Daily data on mortality and air pollution were collected from 652 cities in 24 countries or regions. We used overdispersed generalized additive models with random-effects meta-analysis to investigate the associations. Two-pollutant models were fitted to test the robustness of the associations. Concentration–response curves from each city were pooled to allow global estimates to be derived. RESULTS On average, an increase of 10 μg per cubic meter in the 2-day moving average of PM10 concentration, which represents the average over the current and previous day, was associated with increases of 0.44% (95% confidence interval [CI], 0.39 to 0.50) in daily all-cause mortality, 0.36% (95% CI, 0.30 to 0.43) in daily cardiovascular mortality, and 0.47% (95% CI, 0.35 to 0.58) in daily respiratory mortality. The corresponding increases in daily mortality for the same change in PM2.5 concentration were 0.68% (95% CI, 0.59 to 0.77), 0.55% (95% CI, 0.45 to 0.66), and 0.74% (95% CI, 0.53 to 0.95). These associations remained significant after adjustment for gaseous pollutants. Associations were stronger in locations with lower annual mean PM concentrations and higher annual mean temperatures. The pooled concentration–response curves showed a consistent increase in daily mortality with increasing PM concentration, with steeper slopes at lower PM concentrations. CONCLUSIONS Our data show independent associations between short-term exposure to PM10 and PM2.5 and daily all-cause, cardiovascular, and respiratory mortality in more than 600 cities across the globe. These data reinforce the evidence of a link between mortality and PM concentration established in regional and local studies. (Funded by the National Natural Science Foundation of China and others.) Copyright © 2019 Massachusetts Medical Society.
author2 Tobías, Aurelio [0000-0001-6428-6755]
author_facet Tobías, Aurelio [0000-0001-6428-6755]
Liu, Cong
Chen, Renjie
Sera, Francesco
Vicedo-Cabrera, Ana Maria
Tobías, Aurelio
Cohen, Aaron J.
Gasparrini, Antonio
format artículo
topic_facet Particulate matter
Air pollution
Long-term exposure
author Liu, Cong
Chen, Renjie
Sera, Francesco
Vicedo-Cabrera, Ana Maria
Tobías, Aurelio
Cohen, Aaron J.
Gasparrini, Antonio
author_sort Liu, Cong
title Ambient Particulate Air Pollution and Daily Mortality in 652 Cities
title_short Ambient Particulate Air Pollution and Daily Mortality in 652 Cities
title_full Ambient Particulate Air Pollution and Daily Mortality in 652 Cities
title_fullStr Ambient Particulate Air Pollution and Daily Mortality in 652 Cities
title_full_unstemmed Ambient Particulate Air Pollution and Daily Mortality in 652 Cities
title_sort ambient particulate air pollution and daily mortality in 652 cities
publisher Massachusetts Medical Society
publishDate 2019-08-28
url http://hdl.handle.net/10261/199798
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AT serafrancesco ambientparticulateairpollutionanddailymortalityin652cities
AT vicedocabreraanamaria ambientparticulateairpollutionanddailymortalityin652cities
AT tobiasaurelio ambientparticulateairpollutionanddailymortalityin652cities
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spelling dig-idaea-es-10261-1997982021-12-27T16:05:57Z Ambient Particulate Air Pollution and Daily Mortality in 652 Cities Liu, Cong Chen, Renjie Sera, Francesco Vicedo-Cabrera, Ana Maria Tobías, Aurelio Cohen, Aaron J. Gasparrini, Antonio Tobías, Aurelio [0000-0001-6428-6755] Particulate matter Air pollution Long-term exposure BACKGROUND The systematic evaluation of the results of time-series studies of air pollution is challenged by differences in model specification and publication bias. METHODS We evaluated the associations of inhalable particulate matter (PM) with an aerodynamic diameter of 10 μm or less (PM10) and fine PM with an aerodynamic diameter of 2.5 μm or less (PM2.5) with daily all-cause, cardiovascular, and respiratory mortality across multiple countries or regions. Daily data on mortality and air pollution were collected from 652 cities in 24 countries or regions. We used overdispersed generalized additive models with random-effects meta-analysis to investigate the associations. Two-pollutant models were fitted to test the robustness of the associations. Concentration–response curves from each city were pooled to allow global estimates to be derived. RESULTS On average, an increase of 10 μg per cubic meter in the 2-day moving average of PM10 concentration, which represents the average over the current and previous day, was associated with increases of 0.44% (95% confidence interval [CI], 0.39 to 0.50) in daily all-cause mortality, 0.36% (95% CI, 0.30 to 0.43) in daily cardiovascular mortality, and 0.47% (95% CI, 0.35 to 0.58) in daily respiratory mortality. The corresponding increases in daily mortality for the same change in PM2.5 concentration were 0.68% (95% CI, 0.59 to 0.77), 0.55% (95% CI, 0.45 to 0.66), and 0.74% (95% CI, 0.53 to 0.95). These associations remained significant after adjustment for gaseous pollutants. Associations were stronger in locations with lower annual mean PM concentrations and higher annual mean temperatures. The pooled concentration–response curves showed a consistent increase in daily mortality with increasing PM concentration, with steeper slopes at lower PM concentrations. CONCLUSIONS Our data show independent associations between short-term exposure to PM10 and PM2.5 and daily all-cause, cardiovascular, and respiratory mortality in more than 600 cities across the globe. These data reinforce the evidence of a link between mortality and PM concentration established in regional and local studies. (Funded by the National Natural Science Foundation of China and others.) Copyright © 2019 Massachusetts Medical Society. Funding text #1 Our data show independent associations between short-term exposure to PM10 and PM2.5 and daily all-cause, cardiovascular, and respiratory mortality in more than 600 cities across the globe. These data reinforce the evidence of a link between mortality and PM concentration established in regional and local studies. (Funded by the National Natural Science Foundation of China and others.) Funding text #2 Supported by the National Natural Science Foundation of China (grants 91843302 and 91643205, to Dr. Kan); the China Medical Board Collaborating Program (grant 16-250); the Medical Research Council, United Kingdom (grants MR/R013349/1 and MR/M022625/1, to Drs. Gasparrini, Sera, and Vicedo-Cabrera); the Career Development Fellowship of the Australian National Health and Medical Research Council (grants APP1107107 and APP1163693, to Dr. Guo); the Ministry of Education of Spain (grant PRX17/00705, to Dr. Tobias); the National Plan for I+D+I (grant PI15/00515), cofunded by the Instituto de Salud Carlos III Directorate General for Evaluation and the European Regional Development Fund (FEDER); the Global Research Laboratory (grant K21004000001-10A0500-00710 from the National Research Foundation of Korea, funded by the Ministry of Science, Information and Communication Technologies, to Dr. Kim); the Academy of Finland (grants 310372 and 310373, to Drs. Jaakkola and Ryti); the Estonian Ministry of Education and Research (grant IUT34-17, to Drs. Orru and Indermitte); the Czech Science Foundation (grant 18-22125S, to Drs. Kyselý and Urban); and a Professional Services Agreement with the Health Effects Institute, United States (to Dr. Cohen).View less Funding text #3 The authors’ affiliations are as follows: the School of Public Health, Key Laboratory of Public Health Safety of the Ministry of Education and National Health Commission Key Laboratory of Health Technology Assessment (C.L., R.C., H. Kan), the Department of Environmental Science and Engineering (J. Chen), Shanghai Key Laboratory of Atmospheric Particle Pollution and Prevention (R.C., H. Kan), Fudan University, Shanghai Children’s Medical Center, Shanghai Jiao Tong University School of Medicine (S.T.), and Children’s Hospital of Fudan University, National Center for Children’s Health (H. Kan), Shanghai, the School of Public Health and Management, Binzhou Medical University, Yantai (Y.G.), the School of Public Health, Institute of Environment and Population Health, Anhui Medical University, Hefei (S.T.), and the Key Laboratory of Environment and Health, Ministry of Education, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan (T.W.) — all in China; the Department of Public Health, Environments and Society (F.S., A.M.V.-C., A.M., A.G.) and the Centre for Statistical Methodology (A.G.), London School of Hygiene and Tropical Medicine, and the School of Population Health and Environmental Sciences, King’s College London (K.K.), London; the Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC (Y.G.), and the School of Public Health and Social Work, Queensland University of Technology, Brisbane (S.T.) — both in Australia; the Institute of Advanced Studies, University of São Paulo, São Paulo (M.S.Z.S.C., P.H.N.S.); the Air Health Science Division, Health Canada, and the School of Epidemiology and Public Health, University of Ottawa, Ottawa, ON (E.L.); the Department of Public Health (P.M.) and the School of Nursing and Obstetrics (N.V.O.), Universidad de los Andes, Santiago, Chile; Hospital Vista Hermosa, Bogota, Colombia (S.O.G.); Santé Publique France, French National Public Health Agency, Saint Maurice, France (M.P.); the Department of Epidemiology, Lazio Regional Health Service–ASL Roma 1, Rome (M. Stafoggia, M. Scortichini); Karolinska Institute, Institute of Environmental Medicine, Stockholm (M. Stafoggia), and the Department of Public Health and Clinical Medicine, Umeå University, Umeå (B.F., C.Å., H.O.) — both in Sweden; the Department of Pediatric Infectious Diseases, Institute of Tropical Medicine, Nagasaki University, Nagasaki (M.H.), and the Faculty of Health and Sport Sciences, University of Tsukuba, Tsukuba (Y.H.) — both in Japan; the Department of Environmental Health, National Institute of Pub Peer reviewed 2020-02-06T07:20:36Z 2020-02-06T07:20:36Z 2019-08-28 artículo http://purl.org/coar/resource_type/c_6501 New England Journal of Medicine 381 (8): 705-715 (2019) http://hdl.handle.net/10261/199798 10.1056/NEJMoa1817364 31433918 en Publisher's version https://www.nejm.org/doi/full/10.1056/NEJMoa1817364 Sí open Massachusetts Medical Society