Institute of Medical Information & Library, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, 100020, China.
BC Children's Hospital Research Institute, Vancouver, BC, V6H 3N1, Canada; School of Population and Public Health, Faculty of Medicine, The University of British Columbia, Vancouver, BC, V6T 1Z3, Canada.
Environ Res. 2020 Apr;183:109066. doi: 10.1016/j.envres.2019.109066. Epub 2019 Dec 26.
Epidemiologic studies have reported associations between short-term exposure to particulate matter <2.5 μm in aerodynamic diameter (PM) and mortality, but the role of modifiers remains unclear with studies reporting inconsistent results. We evaluated the impact of individual (age, gender and education) and township (geographic area, socioeconomic status, background air pollution and road density) level factors on the relationship between short-term variation in PM with cause-specific mortality in Beijing (population: 21.7 million in 2016), China.
Daily PM concentrations in each township (n = 327; township population: 2000-359,400; township area: 1-392 km) within Beijing were estimated by kriging with external drift using measurements from 35 air quality monitoring stations and geographic variables. Time-stratified case-crossover analysis with township-level mortality data from Oct. 1st, 2012 to Dec. 31st, 2013 was then used to examine associations between PM exposure estimates and cause-specific mortality, stratified by the potential effect modifiers.
A 10-μg/m increase in PM concentration was associated with a 0.17% [95% confidence interval (CI): 0.05%-0.29%] and 0.27% (95%CI:0.01%-0.52%) increase in non-accidental and stroke mortality with no lag, a 0.81% (95%CI:0.39%-1.23%) and 0.96% (95%CI:0.35%-1.57%) increase in respiratory disease (RD) and chronic obstructive pulmonary disease (COPD) mortality at a lag of two-day moving average. For individual-level effect modifiers, the elderly showed higher effects for all the specific causes of mortality; those with lower education level showed higher effects for non-accidental, cardiovascular disease and stroke mortality; females showed higher effects for non-accidental and cause-specific cardiovascular diseases. For township-level effect modifiers, effect estimates tended to be larger for suburban areas, areas of lower road density, lower PM and lower socioeconomic status.
Short-term exposure to township-level ambient PM was associated with increased mortality in Beijing, with indications of effect modification by both individual and township-level factors.
流行病学研究报告了短期暴露于空气动力学直径(PM)小于 2.5μm 的颗粒物(PM)与死亡率之间的关系,但调节剂的作用仍不清楚,研究结果不一致。我们评估了个体(年龄、性别和教育程度)和乡镇(地理区域、社会经济地位、背景空气污染和道路密度)水平因素对北京市(2016 年人口 2170 万)短期 PM 变化与特定原因死亡率之间关系的影响。
使用来自 35 个空气质量监测站和地理变量的测量值,通过外部漂移克里金法估算每个乡镇(n=327;乡镇人口:2000-359400;乡镇面积:1-392km)的每日 PM 浓度。然后,使用时间分层病例交叉分析,根据潜在的效应修饰符,将乡镇级死亡率数据与 2012 年 10 月 1 日至 2013 年 12 月 31 日进行分层,以检验 PM 暴露估计值与特定原因死亡率之间的关联。
浓度增加 10μg/m 与非意外和中风死亡率分别增加 0.17%(95%置信区间(CI):0.05%-0.29%)和 0.27%(95%CI:0.01%-0.52%),无滞后,呼吸疾病(RD)和慢性阻塞性肺疾病(COPD)死亡率分别增加 0.81%(95%CI:0.39%-1.23%)和 0.96%(95%CI:0.35%-1.57%)在两天的平均移动滞后。对于个体水平的效应修饰符,老年人对所有特定的死亡原因表现出更高的影响;受教育程度较低的人对非意外、心血管疾病和中风死亡率的影响更高;女性对非意外和特定原因的心血管疾病的影响更高。对于乡镇水平的效应修饰符,郊区、道路密度较低、PM 较低和社会经济地位较低的地区,效应估计值往往较大。
短期暴露于乡镇级环境 PM 与北京市死亡率的增加有关,表明个体和乡镇水平因素存在调节作用。