Ambient Fine Particulate Matter Exposure and Risk of Cardiovascular Mortality: Adjustment of the Meteorological Factors
文献类型:期刊论文
作者 | Luo, Kai5,6; Li, Wenjing5,6; Zhang, Ruiming5,6; Li, Runkui1,4; Xu, Qun5,6; Cao, Yang2,3 |
刊名 | INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH
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出版日期 | 2016-11-01 |
卷号 | 13期号:11页码:17 |
关键词 | fine particulate matter PM2.5 mortality time stratified case-crossover study distributed lag nonlinear model |
ISSN号 | 1660-4601 |
DOI | 10.3390/ijerph13111082 |
通讯作者 | Li, Runkui(lirk@ucas.ac.cn) ; Xu, Qun(xuqun@ibms.cams.cn) |
英文摘要 | Few studies have explicitly explored the impacts of the extensive adjustment (with a lag period of more than one week) of temperature and humidity on the association between ambient fine particulate matter (PM2.5) and cardiovascular mortality. In a time stratified case-crossover study, we used a distributed lag nonlinear model to assess the impacts of extensive adjustments of temperature and humidity for longer lag periods (for 7, 14, 21, 28 and 40 days) on effects of PM2.5 on total cardiovascular mortality and mortality of cerebrovascular and ischemic heart disease and corresponding exposure-response relationships in Beijing, China, between 2008 and 2011. Compared with results only controlled for temperature and humidity for 2 days, the estimated effects of PM2.5 were smaller and magnitudes of exposure-response curves were decreased when longer lag periods of temperature and relative humidity were included for adjustments, but these changes varied across subpopulation, with marked decreases occurring in males and the elderly who are more susceptible to PM2.5-related mortalities. Our findings suggest that the adjustment of meteorological factors using lag periods shorter than one week may lead to overestimated effects of PM2.5. The associations of PM2.5 with cardiovascular mortality in susceptible populations were more sensitive to further adjustments for temperature and relative humidity. |
WOS关键词 | CASE-CROSSOVER ANALYSES ; MED-PARTICLES PROJECT ; TIME-SERIES METHODS ; AIR-POLLUTION ; DISTRIBUTED LAG ; COARSE PARTICLES ; ENVIRONMENTAL EPIDEMIOLOGY ; RESPONSE RELATIONSHIPS ; DISEASE MORTALITY ; TEMPORAL PATTERN |
资助项目 | Gong-Yi Program of the Chinese Ministry of Environmental Protection[200909016] ; China Medical Board[15-230] |
WOS研究方向 | Environmental Sciences & Ecology ; Public, Environmental & Occupational Health |
语种 | 英语 |
WOS记录号 | WOS:000389571300041 |
出版者 | MDPI AG |
资助机构 | Gong-Yi Program of the Chinese Ministry of Environmental Protection ; China Medical Board |
源URL | [http://ir.igsnrr.ac.cn/handle/311030/65460] ![]() |
专题 | 中国科学院地理科学与资源研究所 |
通讯作者 | Li, Runkui; Xu, Qun |
作者单位 | 1.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100049, Peoples R China 2.KarolinskaInstitutet, Inst Environm Med, Unit Biostat, S-17177 Stockholm, Sweden 3.Univ Orebro, Sch Med Sci, Clin Epidemiol & Biostat, S-70185 Orebro, Sweden 4.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China 5.Chinese Acad Med Sci, Inst Basic Med Sci, Dept Epidemiol & Biostat, Sch Basic Med,Peking Union Med Coll, Beijing 100005, Peoples R China 6.Chinese Acad Med Sci, Ctr Environm & Hlth Sci, Peking Union Med Coll, Beijing 100005, Peoples R China |
推荐引用方式 GB/T 7714 | Luo, Kai,Li, Wenjing,Zhang, Ruiming,et al. Ambient Fine Particulate Matter Exposure and Risk of Cardiovascular Mortality: Adjustment of the Meteorological Factors[J]. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH,2016,13(11):17. |
APA | Luo, Kai,Li, Wenjing,Zhang, Ruiming,Li, Runkui,Xu, Qun,&Cao, Yang.(2016).Ambient Fine Particulate Matter Exposure and Risk of Cardiovascular Mortality: Adjustment of the Meteorological Factors.INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH,13(11),17. |
MLA | Luo, Kai,et al."Ambient Fine Particulate Matter Exposure and Risk of Cardiovascular Mortality: Adjustment of the Meteorological Factors".INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 13.11(2016):17. |
入库方式: OAI收割
来源:地理科学与资源研究所
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