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The spatial variation in the effects of air pollution on cardiovascular mortality in Beijing, China
Department of Epidemiology and Biostatistics, Institute of Basic Medicine Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing, China.
Örebro University, School of Medical Sciences. Örebro University Hospital. Unit of Biostatistics, Institute of Environmental Medicine, KarolinskaInstitutet, Stockholm, Sweden; Faculty of Medicine and Health, Örebro University, Örebro, Sweden. (Clinical Epidemiology and Biostatistics)ORCID iD: 0000-0002-3552-9153
College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, China; State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Science, Beijing, China.
Department of Epidemiology and Biostatistics, Institute of Basic Medicine Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing, China.
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2018 (English)In: Journal of Exposure Science and Environmental Epidemiology, ISSN 1559-0631, E-ISSN 1559-064X, Vol. 28, no 3, p. 297-304Article in journal (Refereed) Published
Abstract [en]

Owing to lack of data from multiple air quality monitoring stations, studies about spatial association between concentrations of ambient pollutants and mortality in China are rare. To investigate the spatial variation of association between concentrations of particulate matter less than 10 mu m in aerodynamic diameter (PM10), nitrogen dioxide (NO2) and carbon monoxide (CO) and cardiovascular mortality in Beijing, China, we collected data including daily deaths, concentrations of PM10, NO2 and CO, and meteorological factors from 1 January 2009 to 31 December 2010 in all 16 districts of Beijing. Generalized additive model (GAM) and generalized additive mixed model (GAMM) were used to examine the citywide and district-specific effects of PM10, NO2 and CO on cardiovascular mortality. The citywide effect derived from GAMM was lower than that derived from GAM, and the strongest effects were identified for 2-day moving average lag 0-1. The interquartile increases in concentrations of PM10, NO2 and CO were associated with 2.46 (95% confidence interval (CI), 1.22-3.72), 4.11 (95% CI, 2.82-5.42) and 2.23 (95% CI, 1.14-3.33) percentage increases in daily cardiovascular mortality by GAMM, respectively. The relative risk of each district compared with reference district was generally statistically significant. The death risk associated with air pollutants varies across different geographic districts in Beijing. The data indicate that the risk is high in suburban areas and rural counties. We found significant and spatially varied adverse effects of air pollution on cardiovascular deaths across the rural and urban areas in Beijing.

Place, publisher, year, edition, pages
Nature Publishing Group, 2018. Vol. 28, no 3, p. 297-304
Keywords [en]
air pollution, cardiovascular mortality, generalized additive mixed model, generalized additive model, spatio-temporal analysis
National Category
Environmental Sciences Pharmacology and Toxicology
Identifiers
URN: urn:nbn:se:oru:diva-66832DOI: 10.1038/jes.2016.21ISI: 000430457100011PubMedID: 29666509Scopus ID: 2-s2.0-85045557210OAI: oai:DiVA.org:oru-66832DiVA, id: diva2:1203176
Note

Funding Agencies:

Special Scientific Research Fund for Public Welfare of Environmental Protection from the Ministry of Environmental Protection of China  200909016 

Peking Union Medical College Graduate Student Innovation Fund  

Public Welfare Research Program of National Health and Family Planning Commission of China  201402022 

Shanghai Key Laboratory of Atmospheric Particle Pollution and Prevention (LAP3)  

Available from: 2018-05-02 Created: 2018-05-02 Last updated: 2020-12-01Bibliographically approved

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