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Air pollution in perspective: Health risks of air pollution expressed in equivalent numbers of passively smoked cigarettes

机译:空气污染的角度:以等量的被动吸烟来表示空气污染的健康风险

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Background: Although the health effects of long term exposure to air pollution are well established, it is difficult to effectively communicate the health risks of this (largely invisible) risk factor to the public and policy makers. The purpose of this study is to develop a method that expresses the health effects of air pollution in an equivalent number of daily passively smoked cigarettes. Methods: Defined changes in PM2.5, nitrogen dioxide (NO_2) and Black Carbon (BC) concentration were expressed into number of passively smoked cigarettes, based on equivalent health risks for four outcome measures: Low Birth Weight (<2500 g at term), decreased lung function (FEV_1), cardiovascular mortality and lung cancer. To describe the strength of the relationship with ETS and air pollutants, we summarized the epidemiological literature using published or new meta-analyses. Results: Realistic increments of 10 μg/m~3 in PM2.5 and NO_2 concentration and a 1 μg/m~3 increment in BC concentration correspond to on average (standard error in parentheses) 5.5 (1.6), 2.5 (0.6) and 4.0 (1.2) passively smoked cigarettes per day across the four health endpoints, respectively. The uncertainty reflects differences in equivalence between the health endpoints and uncertainty in the concentration response functions. The health risk of living along a major freeway in Amsterdam is, compared to a counterfactual situation with 'clean' air, equivalent to 10 daily passively smoked cigarettes.. Conclusions: We developed a method that expresses the health risks of air pollution and the health benefits of better air quality in a simple, appealing manner. The method can be used both at the national/ regional and the local level. Evaluation of the usefulness of the method as a communication tool is needed.
机译:背景:尽管长期暴露于空气污染对健康的影响已得到公认,但很难将这种(在很大程度上是不可见的)危险因素对健康的危害有效地传达给公众和决策者。这项研究的目的是开发一种方法,该方法可以在相当数量的每日被动吸烟中表达空气污染对健康的影响。方法:根据四个结果指标的等效健康风险,以被动吸烟的数量表示PM2.5,二氧化氮(NO_2)和黑碳(BC)浓度的明确变化:低出生体重(足月2500 g) ,肺功能下降(FEV_1),心血管疾病死亡率和肺癌。为了描述与ETS和空气污染物之间关系的强度,我们使用已发表的或新的荟萃分析总结了流行病学文献。结果:PM2.5和NO_2浓度的实际增量为10μg/ m〜3,而BC浓度的实际增量为1μg/ m〜3,平均对应于(括号中的标准误差)5.5(1.6),2.5(0.6)和每天在四个健康终点上分别有4.0(1.2)被动吸烟。不确定性反映了健康终点之间的等效性差异和浓度响应函数中的不确定性。与“清洁”空气的事实相反,相当于在阿姆斯特丹的一条主要高速公路上生活的健康风险,相当于每天被动吸烟10支。结论:我们开发了一种方法来表达空气污染和健康的健康风险以简单,吸引人的方式改善空气质量的好处。该方法可以在国家/地区和地方级别使用。需要评估该方法作为交流工具的有效性。

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