Association between short-term exposure to air pollution and ischemic stroke onset: a time-stratified case-crossover analysis using a distributed lag nonlinear model in Shenzhen, China

被引:48
作者
Wang, Zhinghui [1 ]
Peng, Ji [2 ]
Liu, Peiyi [3 ,4 ]
Duan, Yanran [1 ]
Huang, Suli [3 ]
Wen, Ying [3 ]
Liao, Yi [5 ]
Li, Hongyan [1 ]
Yan, Siyu [1 ]
Cheng, Jinquan [6 ]
Yin, Ping [1 ,6 ]
机构
[1] Huazhong Univ Sci & Technol, Tongji Med Coll, Sch Publ Hlth, Dept Epidemiol & Biostat, 13 Hangkong Rd, Wuhan 430030, Hubei, Peoples R China
[2] Shenzhen Ctr Chron Dis Control, Shenzhen, Peoples R China
[3] Shenzhen Ctr Dis Control & Prevent, Dept Mol Epidemiol, Shenzhen, Peoples R China
[4] Huazhong Univ Sci & Technol, Tongji Med Coll, Dept Occupat & Environm Hlth, Sch Publ Hlth,Key Lab Environm & Hlth, Wuhan, Peoples R China
[5] Shenzhen Ctr Dis Control & Prevent, Dept Publ Hlth Promot, Shenzhen, Peoples R China
[6] Shenzhen Ctr Dis Control & Prevent, 8 Longyuan Rd, Shenzhen 518055, Guangdong, Peoples R China
基金
美国国家卫生研究院; 中国国家自然科学基金;
关键词
Ischemic stroke; Air pollution; Case-crossover design; Distributed lag nonlinear model; Quasi-Poisson regression; HEMORRHAGIC STROKE; HOSPITAL ADMISSIONS; AMBIENT OZONE; RISK; INFLAMMATION; DYSFUNCTION; MORTALITY; MARKERS; BURDEN; USA;
D O I
10.1186/s12940-019-0557-4
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Background Stroke, especially ischemic stroke (IS), has been a severe public health problem around the world. However, the association between air pollution and ischemic stroke remains ambiguous. Methods A total of 63, 997 IS cases aged 18 years or above in Shenzhen were collected from 2008 to 2014. We used the time-stratified case-crossover design combining with distributed lag nonlinear model (DLNM) to estimate the association between air pollution and IS onset. Furthermore, this study explored the variability across gender and age groups. Results The cumulative exposure-response curves were J-shaped for SO2, NO2 and PM10, and V-shaped for O-3, and crossed over the relative risk (RR) of one. The 99th, 50th (median) and 1st percentiles of concentration (mu g/m(3)) respectively were 37.86, 10.06, 3.71 for SO2, 116.26, 41.29, 18.51 for NO2, 145.94, 48.29, 16.14 for PM10, and 111.57, 49.82, 16.00 for O-3. Extreme high-SO2, high-NO2, high-PM10, high-O-3, and low-O-3 concentration increased the risk of IS, with the maximum RR values and 95% CIs: 1.50(1.22, 1.84) (99th vs median) at 0-12 lag days, 1.37(1.13, 1.67) (99th vs median) at 0-10 lag days, 1.26(1.04, 1.53) (99th vs median) at 0-12 lag days, 1.25(1.04, 1.49) (99th vs median) at 0-14 lag days, and 1.29(1.03, 1.61) (1st vs median) at 0-14 lag days, respectively. The statistically significant minimal RR value and 95% CI was 0.79(0.66,0.94) at 0-10 lag days for extreme low-PM10. The elderly aged over 65 years were susceptible to extreme pollution conditions. Difference from the vulnerability of males to extreme high-SO2, high-NO2 and low-O-3, females were vulnerable to extreme high-PM10 and high-O-3. Comparing with the elderly, adults aged 18-64 year were immune to extreme low-NO2 and low-PM10. However, no association between CO and IS onset was found. Conclusions SO2, NO2, PM10 and O-3 exerted non-linear and delayed influence on IS, and such influence varied with gender and age. These findings may have significant public health implications for the prevention of IS.
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页数:12
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