Predicting exposure-response associations of ambient particulate matter with mortality in 73 Chinese cities

Madaniyazi, Lina, Guo, Yuming, Chen, Renjie, Kan, Haidong and Tong, Shilu (2016) Predicting exposure-response associations of ambient particulate matter with mortality in 73 Chinese cities. Environmental Pollution, 208 A: 40-47. doi:10.1016/j.envpol.2015.09.011


Author Madaniyazi, Lina
Guo, Yuming
Chen, Renjie
Kan, Haidong
Tong, Shilu
Title Predicting exposure-response associations of ambient particulate matter with mortality in 73 Chinese cities
Journal name Environmental Pollution   Check publisher's open access policy
ISSN 1873-6424
0269-7491
Publication date 2016-01
Sub-type Article (original research)
DOI 10.1016/j.envpol.2015.09.011
Volume 208
Issue A
Start page 40
End page 47
Total pages 8
Place of publication Kidlington, Oxford, United Kingdom
Publisher Pergamon Press
Collection year 2017
Language eng
Abstract Estimating the burden of mortality associated with particulates requires knowledge of exposure-response associations. However, the evidence on exposure-response associations is limited in many cities, especially in developing countries. In this study, we predicted associations of particulates smaller than 10 μm in aerodynamic diameter (PM10) with mortality in 73 Chinese cities. The meta-regression model was used to test and quantify which city-specific characteristics contributed significantly to the heterogeneity of PM10-mortality associations for 16 Chinese cities. Then, those city-specific characteristics with statistically significant regression coefficients were treated as independent variables to build multivariate meta-regression models. The model with the best fitness was used to predict PM10-mortality associations in 73 Chinese cities in 2010. Mean temperature, PM10 concentration and green space per capita could best explain the heterogeneity in PM10-mortality associations. Based on city-specific characteristics, we were able to develop multivariate meta-regression models to predict associations between air pollutants and health outcomes reasonably well.
Keyword China
Mortality
Multivariate meta-regression model
Particulate matter
Q-Index Code C1
Q-Index Status Provisional Code
Institutional Status UQ

Document type: Journal Article
Sub-type: Article (original research)
Collections: HERDC Pre-Audit
School of Public Health Publications
 
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Created: Tue, 13 Oct 2015, 13:11:19 EST by Yuming Guo on behalf of School of Public Health