Department of Economics, Brigham Young University, Provo, UT, USA.
Department of Economics, Brigham Young University, Provo, UT, USA.
Environ Res. 2020 Apr;183:108924. doi: 10.1016/j.envres.2019.108924. Epub 2019 Nov 14.
Much of the key epidemiological evidence that long-term exposure to fine particulate matter air pollution (PM) contributes to increased risk of mortality comes from survival studies of cohorts of individuals. Although the first two of these studies, published in the mid-1990s, were highly controversial, much has changed in the last 25 + years. The objectives of this paper are to succinctly compile and summarize the findings of these cohort studies using meta-analytic tools and to address several of the key controversies. Independent reanalysis and substantial extended analysis of the original cohort studies have been conducted and many additional studies using a wide variety of cohorts, including cohorts constructed from public data and leveraging natural experiments have been published. Meta-analytic estimates of the mean of the distribution of effects from cohort studies that are currently available, provide substantial evidence of adverse air pollution associations with all-cause, cardiopulmonary, and lung cancer mortality.
大量关键的流行病学证据表明,长期暴露于细颗粒物(PM)空气污染会增加死亡率风险,这些证据来自对个体队列的生存研究。尽管前两项此类研究发表于 20 世纪 90 年代中期,极具争议性,但在过去的 25 年+时间里,情况已经发生了很大变化。本文的目的是使用荟萃分析工具简明扼要地整理和总结这些队列研究的结果,并解决其中的几个关键争议。对原始队列研究进行了独立的重新分析和大量扩展分析,并且还发表了许多使用各种队列的额外研究,包括利用公共数据构建的队列和利用自然实验的队列。目前可获得的队列研究效应分布均值的荟萃分析估计值,为空气污染与全因、心肺和肺癌死亡率之间存在不利关联提供了大量证据。