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

机译:中国四川盆地因环境空气污染而导致的整体和特定原因的呼吸系统疾病的负担:多城市时间序列分析

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摘要

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 ( = 14 years) and elderly ( = 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.
机译:很少有研究调查中国环境空气污染引起的呼吸系统疾病负担,尤其是在多城市环境中。这项研究旨在评估环境空气污染物(PM10,PM2.5,NO2和SO2)对整体和特定原因呼吸系统疾病的住院人数(HA)的短期影响,以及17个城市的相关负担2015-2016年,中国四川盆地。首先,使用具有准Poisson链接的广义加性模型获得每种污染物对呼吸道HA的城市特定影响估计,然后应用随机或固定影响荟萃分析在区域级别汇总影响估计。还按性别,年龄,季节和地区进行了亚组分析。从位于17个城市的所有三级和二级医院收集了757,712例呼吸道HA。随着PM10,PM2.5,NO2和SO2暴露量的增加,HA整体和引起特定呼吸系统疾病的风险也增加。 lag01的PM10,lag01的PM2.5,lag0的NO2和lag02的SO2分别增加10μg / m(3),分别为0.43%(95%CI:0.33%,0.53%),0.53%(总呼吸HA分别增加95%CI:0.39%,0.68%),2.36%(95%CI:1.75%,2.98%)和2.54%(95%CI:1.51%,3.59%)。儿童(<= 14岁)和老人(> = 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,我们估计有1.84%(95%CI:1.42%,2.25%),1.73%(95%CI:1.27%,2.19%)和0.34%(95%CI:0.21%,0.48) %的呼吸道HA分别是由于PM10,PM2.5和SO2暴露引起的。这项研究表明,空气污染可能是呼吸道入院的重要诱因,并给四川盆地的医管局带来大量的呼吸道疾病负担。

著录项

  • 来源
    《Environmental research》 |2018年第11期|428-436|共9页
  • 作者单位

    Univ Elect Sci & Technol China, Hlth Big Data Res Inst, Big Data Res Ctr, Chengdu, Sichuan, Peoples R China;

    Chongqing Univ Posts & Telecommun, Sch Econ & Management, Chongqing, Peoples R China;

    Univ Elect Sci & Technol China, Hlth Big Data Res Inst, Big Data Res Ctr, Chengdu, Sichuan, Peoples R China;

    Univ Elect Sci & Technol China, Hlth Big Data Res Inst, Big Data Res Ctr, Chengdu, Sichuan, Peoples R China;

    Univ Elect Sci & Technol China, Hlth Big Data Res Inst, Big Data Res Ctr, Chengdu, Sichuan, Peoples R China;

    Hlth & Family Planning Informat Ctr Sichuan Prov, Chengdu 610041, Sichuan, Peoples R China;

    Hlth & Family Planning Informat Ctr Sichuan Prov, Chengdu 610041, Sichuan, Peoples R China;

    Chengdu Shulianyikang Technol Co Ltd, Chengdu, Sichuan, Peoples R China;

    Univ Elect Sci & Technol China, Hlth Big Data Res Inst, Big Data Res Ctr, Chengdu, Sichuan, Peoples R China;

    Hlth & Family Planning Informat Ctr Sichuan Prov, Chengdu 610041, Sichuan, Peoples R China;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Air pollution; Hospital admission; Respiratory diseases; Burden; Sichuan Basin;

    机译:空气污染医院入院呼吸系统疾病负担四川盆地;

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