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中国成都地区大气 PM 对每日死亡率和寿命损失年数的归因风险。

Attributable risk of ambient PM on daily mortality and years of life lost in Chengdu, China.

机构信息

Department of Epidemiology and Health Statistics, West China School of Public Health, Sichuan University, Chengdu 610041, Sichuan, China.

Sichuan Centre for Disease Control and Prevention, Chengdu 610041, Sichuan, China.

出版信息

Sci Total Environ. 2017 Mar 1;581-582:426-433. doi: 10.1016/j.scitotenv.2016.12.151. Epub 2017 Jan 6.

Abstract

Attributable risk is an important indicator for planning and evaluating public health interventions. However, most current measures of the attributable risk of air pollutants have not considered temporal relationships between exposure and risk. More importantly, limited information is available regarding the attributable risk due to ambient air pollutants in basin regions like the Sichuan Basin, China. To quantify the association between PM and deaths in the Basin region, we used a measure proposed recently within the framework of the distributed lag non-linear model to estimate the attributable risk in Chengdu, China. Meanwhile, we examined the association between PM and years of life lost (YLL). Our analysis showed that population-attributable fractions for non-accidental, respiratory, and cardiovascular mortality were 0.569% (95% CI: -3.474%, 4.374%), 0.695% (95% CI: -5.260%, 6.457%), and 0.631% (95% CI: -6.973%, 7.390%), respectively. On average, a 1μg/m increase in PM was associated with cumulative increases of 0.26893, 0.30437, and 0.21924 YLL for non-accidental, respiratory, and cardiovascular mortality, respectively, referring to 20μg/m. In addition, we found an inverse U-shaped pattern for the cumulative risk with 350μg/m as the reverse point. With a 1μg/m increase in PM, YLL changed more significantly than mortality. Moreover, PM demonstrated remarkable effects on YLL among men and the elderly.

摘要

归因风险是规划和评估公共卫生干预措施的重要指标。然而,目前大多数衡量空气污染物归因风险的指标都没有考虑暴露与风险之间的时间关系。更重要的是,对于中国四川盆地等流域地区的空气污染物归因风险,信息有限。为了量化 PM 与盆地地区死亡之间的关联,我们使用了分布式滞后非线性模型框架内最近提出的一种措施来估计中国成都的归因风险。同时,我们研究了 PM 与生命损失年(YLL)之间的关联。我们的分析表明,非意外、呼吸和心血管死亡率的人群归因分数分别为 0.569%(95%CI:-3.474%,4.374%)、0.695%(95%CI:-5.260%,6.457%)和 0.631%(95%CI:-6.973%,7.390%)。平均而言,PM 每增加 1μg/m,非意外、呼吸和心血管死亡率的累积增加分别为 0.26893、0.30437 和 0.21924 YLL,对应于 20μg/m。此外,我们发现累积风险呈倒 U 形模式,350μg/m 为转折点。PM 每增加 1μg/m,YLL 的变化比死亡率更为显著。此外,PM 在男性和老年人中对 YLL 有显著影响。

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