The spatial characteristics of ambient particulate matter and daily mortality in the urban area of Beijing, China

Zhang, Yajuan, Guo, Yuming, Li, Guoxing, Zhou, Jian, Jin, Xiaobin, Wang, Wuyi and Pan, Xiaochuan (2012) The spatial characteristics of ambient particulate matter and daily mortality in the urban area of Beijing, China. Science of the Total Environment, 435-436 14-20. doi:10.1016/j.scitotenv.2012.06.092


Author Zhang, Yajuan
Guo, Yuming
Li, Guoxing
Zhou, Jian
Jin, Xiaobin
Wang, Wuyi
Pan, Xiaochuan
Title The spatial characteristics of ambient particulate matter and daily mortality in the urban area of Beijing, China
Journal name Science of the Total Environment   Check publisher's open access policy
ISSN 0048-9697
1879-1026
Publication date 2012-10
Sub-type Article (original research)
DOI 10.1016/j.scitotenv.2012.06.092
Volume 435-436
Start page 14
End page 20
Total pages 7
Place of publication Amsterdam, Netherlands
Publisher Elsevier
Collection year 2013
Language eng
Formatted abstract
Few epidemiological studies have reported the spatial characteristics of the association between particulate matter < 10 μm in aerodynamic diameter (PM10) and mortality in China. This study explored the spatial characteristics of the association between ambient PM10 and mortality in the urban area of Beijing, China. We collected daily data on air pollution, weather conditions and mortality in the eight urban districts of Beijing from Jan. 1st 2008 to Dec. 31st 2009. A Poisson Generalized Additive Model (GAM) was used to examine the district-specific effects of PM10 on cause-specific mortality. A Poisson Generalized Additive Mixed Model (GAMM) was used to examine the urban-wide association between PM10 and cause-specific mortality while controlling for the random effects of districts, compared with GAM which did not control for the random effects of districts. The inter-quartile ranges (IQRs) of annual PM10 ranged from 83.5 μg/m3 (Chaoyang district) to 96.0 μg/m3 (Shijingshan district). A 96.0 μg/m3 increase of PM10 was associated with a 7.52% (95%CI: 1.78%–13.56%) increase of cardiovascular mortality in Shijingshan district while an 87.0 μg/m3 increase of PM10 was associated with a 7.68% (95%CI: 0.08%–15.86%) increase of respiratory deaths in Dongcheng district. The urban-wide effects derived from GAMM showed that an 88.0 μg/m3 increase of PM10 was associated with an increase of 1.30% (95%CI: 0.45%–2.16%), 2.60% (95%CI: 0.14%–5.11%) in non-accidental and respiratory mortality, illustrating, higher results than those from the GAM. In conclusion, there is spatial variation in ambient PM10 concentration as well as in the effects of PM10 on cause-specific mortality in the urban area of Beijing. Additionally, GAMM model may be more effective in estimating the spatial association between urban-wide PM10 and cause-specific mortality.
Keyword Pm10
Spatial characteristics
Mortality
Gamm
Stratified Case-Crossover
Emergency-Room Visits
Air-Pollution
Time-Series
Hospital Admissions
Daily Deaths
Health
Association
Exposure
Outpatient
Q-Index Code C1
Q-Index Status Provisional Code
Institutional Status Unknown

Document type: Journal Article
Sub-type: Article (original research)
Collection: School of Medicine Publications
 
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Created: Mon, 17 Dec 2012, 15:15:51 EST by Yuming Guo on behalf of School of Medicine