Spatial variation in the effects of air pollution on cardiovascular mortality in Beijing, ChinaShow others and affiliations
2019 (English)In: Environmental Science and Pollution Research, ISSN 0944-1344, E-ISSN 1614-7499Article in journal (Refereed) Published
Abstract [en]
Due 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 μm in aerodynamic diameter (PM10) and nitrogen dioxide (NO2) and cardiovascular mortality in Beijing, China, we collected data including daily deaths, concentrations of PM10 and NO2, and meteorological factors from January 1, 2009, to December 31, 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 and NO2 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. For every 10 μg/m3 increases in concentrations of PM10 and NO2, the corresponding daily cardiovascular mortality increases in 0.31% (95%CI 0.15%, 0.46%) and 1.63% (95%CI 1.11%, 2.13%), respectively. The death risk associated with air pollutants varied across different geographic districts in Beijing. We found spatially varied adverse effects of air pollution on cardiovascular deaths in Beijing. But there was insufficient evidence to show the significant spatial heterogeneity in mortality effects of PM10 and NO2 in this study.
Place, publisher, year, edition, pages
Springer, 2019.
Keywords [en]
Air pollution, Cardiovascular mortality, Generalized additive mixed model, Generalized additive model, Spatio-temporal analysis
National Category
Environmental Sciences Occupational Health and Environmental Health
Identifiers
URN: urn:nbn:se:oru:diva-70344DOI: 10.1007/s11356-018-3725-0ISI: 000456198400038PubMedID: 30471063Scopus ID: 2-s2.0-85057181876OAI: oai:DiVA.org:oru-70344DiVA, id: diva2:1266047
Note
Funding Agencies:
Gong-Yi Program of the Chinese Ministry of Environmental Protection 200909016
Peking Union Medical College Graduate Student Innovation Fund
CAMS Innovation Fund for Medical Sciences 2017-I2M-1-009
China Medical Board 15-230
National Natural Science Foundation of China 41771435
China Scholarship Council 201704910297
2018-11-272018-11-272020-12-01Bibliographically approved