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重污染天气事件对 250 个中国县区居民死亡率的影响

Impact of Heavy PM Pollution Events on Mortality in 250 Chinese Counties.

机构信息

China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, No. 7, Panjiayuan Nanli, Chaoyang District, Beijing 100021, China.

School of Public Health, Nanjing Medical University, Nanjing 211166, China.

出版信息

Environ Sci Technol. 2022 Jun 21;56(12):8299-8307. doi: 10.1021/acs.est.1c07340. Epub 2022 Jun 10.

DOI:10.1021/acs.est.1c07340
PMID:35686990
Abstract

We explored the impact of heavy PM pollution events on the health of residents in 250 counties in China. A time-series approach involving a two-stage analysis was applied to estimate the association between heavy PM pollution events and mortality from 2013 to 2018. The associations between heavy (PM ≥75 μg/m and <150 μg/m) and extremely heavy (PM ≥150 μg/m) PM pollution days with mortality were explored. The added effects of the heavy PM pollution events were evaluated by controlling PM concentration in the model. From 2013 to 2018, there were 57,279 county days of heavy PM pollution and 21,248 county days of extremely heavy PM pollution. The risks of mortality during this period of heavy PM pollution events increased by 1.22% (95% CI: 0.82-1.63%), 1.14% (95% CI: 0.74-1.53%), 1.09% (95% CI: 0.58-1.60%), and 1.30% (95% CI: 0.40-2.20%), for all-cause, nonaccidental, circulatory, and respiratory mortality, respectively. We also observed that heavy PM pollution events had an added effect on mortality risk associated with all-cause, nonaccidental, circulatory, and respiratory mortality, evident from an observed increase by 0.77% (95% CI: 0.29-1.24%), 0.73% (95% CI: 0.27-1.19%), 0.96% (95% CI: 0.37-1.55%), and 0.55% (95% CI: -0.52-1.63%), respectively. Heavy PM pollution events increased mortality risks and caused an independent added effect. The findings serve as a foundation for policymakers in developing early warning systems and policy interventions.

摘要

我们研究了重度 PM 污染事件对中国 250 个县居民健康的影响。采用两阶段分析的时间序列方法,估计 2013 年至 2018 年期间重度 PM 污染事件与死亡率之间的关联。研究了重度(PM≥75μg/m 且<150μg/m)和极重度(PM≥150μg/m)PM 污染日与死亡率之间的关联。通过在模型中控制 PM 浓度来评估重度 PM 污染事件的附加影响。2013 年至 2018 年,重度 PM 污染有 57279 个县日,极重度 PM 污染有 21248 个县日。在此期间,重度 PM 污染事件导致的死亡率风险增加了 1.22%(95%CI:0.82-1.63%)、1.14%(95%CI:0.74-1.53%)、1.09%(95%CI:0.58-1.60%)和 1.30%(95%CI:0.40-2.20%),分别为全因、非意外、循环和呼吸死亡率。我们还观察到,重度 PM 污染事件对全因、非意外、循环和呼吸死亡率相关的死亡率风险具有附加效应,这从观察到的增加 0.77%(95%CI:0.29-1.24%)、0.73%(95%CI:0.27-1.19%)、0.96%(95%CI:0.37-1.55%)和 0.55%(95%CI:-0.52-1.63%)得出。重度 PM 污染事件增加了死亡率风险,并产生了独立的附加效应。这些发现为政策制定者制定早期预警系统和政策干预措施提供了依据。

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