DOI: 10.1016/j.atmosenv.2017.04.015
Scopus记录号: 2-s2.0-85018294730
论文题名: Hourly peak concentration measuring the PM2.5-mortality association: Results from six cities in the Pearl River Delta study
作者: Lin H ; , Ratnapradipa K ; , Wang X ; , Zhang Y ; , Xu Y ; , Yao Z ; , Dong G ; , Liu T ; , Clark J ; , Dick R ; , Xiao J ; , Zeng W ; , Li X ; , Qian Z ; M ; , Ma W
刊名: Atmospheric Environment
ISSN: 0168-2563
EISSN: 1573-515X
出版年: 2017
卷: 161 起始页码: 27
结束页码: 33
语种: 英语
英文关键词: Air pollution
; Fine particles
; Hourly peak concentration
; Mortality
; Pearl river delta
; PM2.5
Scopus关键词: Air pollution
; Gems
; Particles (particulate matter)
; Pollution
; Random processes
; Rivers
; Cardiovascular mortality
; Epidemiological studies
; Fine particles
; Fine particulate matter
; Generalized additives
; Mortality
; Peak concentrations
; Pearl River delta
; River pollution
; atmospheric pollution
; cardiovascular disease
; concentration (composition)
; confidence interval
; health impact
; health risk
; mortality
; particulate matter
; pollution effect
; respiratory disease
; risk factor
; aged
; air pollution
; Article
; cardiovascular disease
; cardiovascular mortality
; China
; female
; human
; long term exposure
; major clinical study
; male
; mortality
; particulate matter
; priority journal
; respiratory tract disease
; risk factor
; river
; China
; Guangdong
; Zhujiang Delta
Scopus学科分类: Environmental Science: Water Science and Technology
; Earth and Planetary Sciences: Earth-Surface Processes
; Environmental Science: Environmental Chemistry
英文摘要: Compared with daily mean concentration of air pollution, hourly peak concentration may be more directly relevant to the acute health effects due to the high concentration levels, however, few have analyzed the acute mortality effects of hourly peak levels of air pollution. We examined the associations of hourly peak concentration of fine particulate matter air pollution (PM2.5) with mortality in six cities in Pearl River Delta, China. We used generalized additive Poisson models to examine the associations with adjustment for potential confounders in each city. We further applied random-effects meta-analyses to estimate the regional overall effects. We further estimated the mortality burden attributable to hourly peak and daily mean PM2.5. We observed significant associations between hourly peak PM2.5 and mortality. Each 10 μg/m3 increase in 4-day averaged (lag03) hourly peak PM2.5 corresponded to a 0.9% [95% confidence interval (CI): 0.7%, 1.1%] increase in total mortality, 1.2% (95% CI: 1.0%, 1.5%) in cardiovascular mortality, and 0.7% (95% CI: 0.2%, 1.1%) in respiratory mortality. We observed a greater mortality burden using hourly peak PM2.5 than daily mean PM2.5, with an estimated 12915 (95% CI: 9922, 15949) premature deaths attributable to hourly peak PM2.5, and 7951 (95% CI: 5067, 10890) to daily mean PM2.5 in the Pearl River Delta (PRD) region during the study period. This study suggests that hourly peak PM2.5 might be one important risk factor of mortality in PRD region of China; the finding provides important information for future air pollution management and epidemiological studies. © 2017 Elsevier Ltd Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/82390
Appears in Collections: 气候变化事实与影响
There are no files associated with this item.
作者单位: Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, China; College for Public Health and Social Justice, Saint Louis University, Saint Louis, MO, United States; School of Public Health, Guangdong Pharmaceutical University, Guangzhou, China; Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, China; Department of Environmental and Occupational Health, School of Public Health, Sun Yat-Sen University, Guangzhou, China
Recommended Citation:
Lin H,, Ratnapradipa K,, Wang X,et al. Hourly peak concentration measuring the PM2.5-mortality association: Results from six cities in the Pearl River Delta study[J]. Atmospheric Environment,2017-01-01,161