Department of Environmental and Occupational Health, School of Public Health, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Department of Earth System Science, School of Sciences, Tsinghua University, Beijing, China.
Am J Epidemiol. 2018 May 1;187(5):1001-1009. doi: 10.1093/aje/kwy007.
Different populations may respond differently to exposure to ambient fine particulate matter, defined as particulate matter with an aerodynamic diameter less than or equal to 2.5 μm (PM2.5); however, less is known about the distribution of susceptible individuals among the entire population. We conducted a time-stratified case-crossover study to assess associations between stroke risk and exposure to PM2.5. During 2013-2015, 1,356 first-ever stroke events were derived from a large representative sample, the China National Stroke Screening Survey (CNSSS) database. Daily PM2.5 average exposures with a spatial resolution of 0.1° were estimated using a data assimilation approach combining satellite measurements, air model simulations, and monitoring values. The distribution of susceptibility was derived according to individual-specific associations with PM2.5 modified by different combinations of individual-level characteristics and their joint frequencies among all of the CNSSS participants (n = 1,292,010). We found that first-ever stroke was statistically significantly associated with PM2.5 (per 10-μg/m3 increment of exposure, odds ratio = 1.049, 95% confidence interval (CI): 1.038, 1.061). This association was modified by demographic (e.g., sex), lifestyle (e.g., overweight/obesity), and medical history (e.g., diabetes) variables. The combined association with PM2.5 varied from 0.966 (95% CI: 0.920, 1.013) to 1.145 (95% CI: 1.080, 1.215) per 10-μg/m3 increment in different subpopulations. We found that most of the CNSSS participants were at increased risk of PM2.5-related stroke, while only a small proportion were highly susceptible.
不同人群对环境细颗粒物(定义为空气动力学直径小于或等于 2.5μm 的颗粒物,即 PM2.5)的暴露可能会有不同的反应;然而,对于易感个体在整个人群中的分布情况了解较少。我们进行了一项时间分层病例交叉研究,以评估中风风险与 PM2.5 暴露之间的关联。在 2013 年至 2015 年期间,从一个大型代表性样本中国国家脑卒中筛查调查(CNSSS)数据库中得出了 1356 例首次脑卒中事件。采用一种数据同化方法,结合卫星测量、空气模型模拟和监测值,估计了每日 PM2.5 平均暴露量,空间分辨率为 0.1°。根据个体与 PM2.5 的特定关联,得出了易感度的分布情况,这些关联通过不同个体水平特征及其在所有 CNSSS 参与者(n=1292010)中的联合频率进行了修正。我们发现,首次中风与 PM2.5 之间存在统计学显著关联(每增加 10μg/m3 暴露,比值比=1.049,95%置信区间(CI):1.038,1.061)。这种关联受到人口统计学(如性别)、生活方式(如超重/肥胖)和病史(如糖尿病)变量的修正。PM2.5 的综合关联在不同亚群中从 0.966(95%CI:0.920,1.013)到 1.145(95%CI:1.080,1.215)每增加 10μg/m3 而变化。我们发现,大多数 CNSSS 参与者都面临与 PM2.5 相关的中风风险增加,而只有一小部分人高度易感。