Hourly associations between exposure to ambient particulate matter and emergency department visits in an urban population of Shenzhen, China

被引:36
作者
Chen, Dieyi [1 ]
Zhang, Faxue [2 ]
Yu, Chuanhua [2 ,3 ]
Jiao, Anqi [2 ]
Xiang, Qianqian [4 ]
Yu, Yong [5 ]
Mayvaneh, Fatemeh [6 ]
Hu, Kejia [7 ]
Ding, Zan [8 ]
Zhang, Yunquan [2 ,9 ]
机构
[1] Wuhan Univ, Sch Hlth Sci, Dept Global Hlth, Wuhan 430071, Hubei, Peoples R China
[2] Wuhan Univ, Sch Hlth Sci, Dept Prevent Med, Wuhan 430071, Hubei, Peoples R China
[3] Wuhan Univ, Global Hlth Inst, Wuhan 430072, Hubei, Peoples R China
[4] Hubei Prov Ctr Dis Control & Prevent, Wuhan 430079, Hubei, Peoples R China
[5] Hubei Univ Med, Sch Publ Hlth & Management, Shiyan 442000, Peoples R China
[6] Hakim Sabzevari Univ, Sch Geog & Environm Sci, Sabzevar, Iran
[7] Zhejiang Univ, Ocean Coll, Inst Isl & Coastal Ecosyst, Zhoushan 316021, Peoples R China
[8] Shenzhen Univ, Affiliated Hosp 5, Baoan Cent Hosp Shenzhen, Inst Metab Dis, Shenzhen 518102, Peoples R China
[9] Wuhan Univ Sci & Technol, Sch Publ Hlth, Hubei Prov Key Lab Occupat Hazard Identificat & C, Wuhan 430065, Hubei, Peoples R China
基金
中国国家自然科学基金;
关键词
Fine particulate matter; Hourly PM effects; Emergency department visits; Case-crossover design; China; SHORT-TERM EXPOSURE; CASE-CROSSOVER ANALYSES; OUTDOOR AIR-POLLUTION; RESPIRATORY-DISEASES; OUTPATIENT VISITS; HOSPITAL VISITS; AMBULANCE DISPATCHES; REFERENT SELECTION; SEASONAL-VARIATION; MORTALITY BURDEN;
D O I
10.1016/j.atmosenv.2019.04.021
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Background: Ambient particulate matter (PM) has been linked to adverse health outcomes, but evidence is still relatively limited for emergency department visits (EDVs). Most prior studies used daily mean PM as exposure assessment regardless of within-day variations, which might underestimate the potential acute health effects. In this study, we evaluated the hourly associations between PM and EDVs, so as to further understand the very short-term impacts of PM on EDVs. Methods: Hourly data for all-cause EDVs, air pollutants and meteorological factors were collected from Shenzhen, China, between March 1, 2015 and February 28, 2018. A time-stratified case-crossover design with conditional logistic regression analysis was performed to assess the hourly associations between PM and EDVs, adjusting for hourly mean temperature and relative humidity. Subgroup analyses stratified by gender, age and clinic department were conducted to identify vulnerable populations. We further classified the whole year into warm (April to September) and cold (October to March of the next year) months to evaluate seasonal effect modification. Results: Hourly mean all-cause EDVs peaked at 9 a.m. and 7 p.m., while PM2.5 and PM10 peaked at 8 a.m. and 8 p.m. The hourly associations between PM and EDVs appeared immediately and persisted for about 10 hours. All-cause EDVs increased 0.72% (95% confidence interval (CI): 0.33, 1.12) and 0.72% (95% CI: 0.45, 0.99) associated with per 10 mu g/m(3) rise in PM2.5 and PM10 at lag 0-10 h, respectively. Stronger effects of PM2.5 and PM10 on EDVs were observed among younger groups (age < 35 years). Significant PM-EDVs associations were only identified in cold season. A 10 mu g/m(3) rise in PM2.5 along 0-10 h, for instance, was associated with increased all-cause EDVs risks of 1.13% (95% CI: 0.67, 1.60) in cold season and -0.23% (95% CI: -1.00, 0.53) in warm season, respectively. Conclusions: Our study provided hourly perspective for the short-term associations between PM exposure and increased EDVs. The adverse impacts of PM on EDVs were only identified in cold season, and young people suffered more from both PM2.5 and PM10 exposures. These findings may have valuable implications for public policy promotion on air cleaning, as well as hospital management in optimizing allocation of resources on PM-sensitive conditions.
引用
收藏
页码:78 / 85
页数:8
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