Liu Ruicong, Zeng Jie, Jiang Xianyan, Chen Jianyu, Gao Xufang, Zhang Li, Li Tiantian
Sichuan Provincial Center for Disease Control and Prevention, No. 6, Zhongxue Road, Wuhou District, Chengdu 610041, China.
Chengdu Center for Disease Control and Prevention, No. 4, Longxiang Road, Wuhou District, Chengdu 610041, China.
Environ Pollut. 2017 Oct;229:661-667. doi: 10.1016/j.envpol.2017.06.098. Epub 2017 Jul 8.
High levels of fine particulate matter (PM) are known to cause adverse effects to human health. The goal of this study was to estimate the acute health effects of short-term exposure to ambient PM by analyzing cause-specific emergency ambulance dispatches as the endpoint in Chengdu, a city in Sichuan Province in southwest China. The ambient PM concentration of Chengdu reached 63 μg/m in 2015. Data related to the causes of specific emergency ambulance dispatches, air pollution, and meteorological conditions were collected from 2013 to 2015 (1095 days). A generalized additive model (GAM) was constructed to control the confounding conditions and to estimate the effects of PM on human health conditions. Emergency ambulance dispatches for all causes with (RR for lag0 = 1.0010, 95%CI: 1.0002, 1.0019) or without injuries (RR for lag0 = 1.0012, 95%CI: 1.0002, 1.0022), respiratory diseases (RR for lag0 = 1.0051, 95%CI: 1.0012, 1.0089), and cardiovascular diseases (RR for lag0 = 1.0041, 95%CI: 1.0009, 1.0074) were associated with ambient PM concentrations in Chengdu. In addition, the effects of PM were not confounded by ozone.
众所周知,高浓度的细颗粒物(PM)会对人体健康造成不利影响。本研究的目的是通过分析以特定病因的紧急救护车调度为终点指标,来估算短期暴露于环境PM中对健康的急性影响,研究地点为中国西南部四川省的成都市。2015年成都的环境PM浓度达到63μg/m³。收集了2013年至2015年(共1095天)与特定病因紧急救护车调度、空气污染和气象条件相关的数据。构建了广义相加模型(GAM)以控制混杂因素,并估算PM对人体健康状况的影响。成都地区所有病因(滞后0天的相对危险度RR = 1.0010,95%置信区间CI:1.0002, 1.0019)或受伤情况(滞后0天的RR = 1.0012,95%CI:1.0002, 1.0022)、呼吸系统疾病(滞后0天的RR = 1.0051,95%CI:1.0012, 1.0089)和心血管疾病(滞后0天的RR = 1.0041,95%CI:1.0009, 1.0074)的紧急救护车调度均与环境PM浓度相关。此外,PM的影响不受臭氧的混杂作用影响。