The burden of overall and cause-specific respiratory morbidity due to ambient air pollution in Sichuan Basin, China: A multi-city time-series analysis

The burden of overall and cause-specific respiratory morbidity due to ambient air pollution in Sichuan Basin, China: A multi-city time-series analysis
复制标题

中国四川盆地环境空气污染造成的总体和特定原因呼吸道疾病的负担:多城市时间序列分析

DOI:
10.1016/j.envres.2018.08.011
复制
发表时间:
2018-11-01
影响因子:
8.3
通讯作者:
Pan, Jingping
Pan, Jingping
中科院分区:
环境科学与生态学2区
文献类型:
--
作者:
Qiu, Hang;Yu, Haiyan;Pan, Jingping

文献摘要

被引文献

相似文献

很少有研究研究由于中国的环境空气污染,尤其是在多城市环境中,因此研究了呼吸道发病负担。这项研究旨在估计环境空气污染物(PM10,PM2.5,NO2和SO2)对总体和特定原因呼吸道疾病的住院(HAS)以及2015年中国四川盆地17个城市的相关负担。首先,使用具有准辉煌连接的广义添加剂模型获得了每种污染物对呼吸系统的城市特异性效应估计值,然后对随机或固定效应荟萃分析进行了汇总以在区域水平上填充效应估计值。还进行了性别,年龄,季节和地区的亚组分析。总共从位于17个城市的所有三级和二级医院收集了总共757,712个呼吸道。 PM10,PM2.5,NO2和SO2暴露增加后,总体上的HAS风险和引起特定的呼吸道疾病升高。 An increase of 10 mu g/m(3) in PM10 at lag01, PM2.5 at lag01, NO2 at lag0 and SO2 at lag02 was associated with a 0.43% (95% CI: 0.33%, 0.53%), 0.53% (95% CI: 0.39%, 0.68%), 2.36% (95% CI: 1.75%, 2.98%) and 2.54% (95%CI:1.51%,3.59%)总呼吸道增加。儿童(= 65岁)似乎更容易受到环境空气污染物的影响。与WHO的空气质量指南相比,我们估计1.84%(95%CI:1.42%,2.25%),1.73%(95%CI:1.27%,2.19%)和0.34%(95%CI:95%CI:0.21%,0.48%)的呼吸疾病是由于PM10,PM10,PM10曝光率是相应的。这项研究表明,空气污染可能是呼吸道入院的重要触发因素,并给四川盆地的呼吸道疾病带来很大负担。
Few studies have investigated the respiratory morbidity burden due to ambient air pollution in China, especially in a multi-city setting. This study aimed to estimate the short-term effects of ambient air pollutants (PM10, PM2.5, NO2 and SO2) on hospital admissions (HAs) for overall and cause-specific respiratory diseases, as well as the associated burden in 17 cities of Sichuan Basin, China during 2015-2016. Firstly, city-specific effect estimates for each pollutant on respiratory HAs were obtained using generalized additive model with quasi-Poisson link, and then random- or fixed-effects meta-analysis was applied to pool the effect estimates at the regional level. Subgroup analyses by sex, age, season and region were also performed. A total of 757,712 respiratory HAs were collected from all the tertiary and secondary hospitals located in the 17 cities. Risks of HAs for overall and cause specific respiratory diseases were elevated following increased PM10, PM2.5, NO2 and SO2 exposure. An increase of 10 mu g/m(3) in PM10 at lag01, PM2.5 at lag01, NO2 at lag0 and SO2 at lag02 was associated with a 0.43% (95% CI: 0.33%, 0.53%), 0.53% (95% CI: 0.39%, 0.68%), 2.36% (95% CI: 1.75%, 2.98%) and 2.54% (95% CI: 1.51%, 3.59%) increases in total respiratory HAs, respectively. Children ( = 65 years) appeared to be more vulnerable to the effects of ambient air pollutants. Comparing to the WHO's air quality guidelines, we estimated that 1.84% (95%CI: 1.42%, 2.25%), 1.73% (95%CI: 1.27%, 2.19%) and 0.34% (95%CI: 0.21%, 0.48%) of respiratory HAs were due to PM10, PM2.5 and SO2 exposure, respectively. This study suggests that air pollution might be an important trigger of respiratory admissions, and result in substantial burden of HAs for respiratory diseases in Sichuan Basin.