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An Exposure-Mortality Relationship for Residential Indoor PM 2.5 Exposure from Outdoor Sources

机译:住宅室内PM 2.5暴露于室外的暴露量与死亡率的关系

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A large proportion of particulate air pollution exposure in urban areas occurs due to the penetration of outdoor pollution into the residential indoor environment. Theoretical considerations suggest that quantifying health effects due to changes to indoor particulate concentrations derived from outdoor sources requires the adjustment of exposure-response coefficients based on epidemiological studies of outdoor air. Using the PM 2.5 -mortality coefficient from the American Cancer Society (ACS) cohort study as an example, we developed a theoretical model to quantify the relationship between the published coefficient and one based on personal exposure, and explored how this adjusted coefficient might be applied to changes in indoor PM 2.5 from outdoor sources. Using a probabilistic approach, our estimated average mortality coefficient for personal PM 2.5 exposure is 30–50% greater than the ACS coefficient. However, since the indoor PM 2.5 of outdoor origin accounts for only a proportion of the overall exposure, the average net adjustment required for indoor exposure is very modest. The results suggest that it is generally appropriate to apply unadjusted exposure-response functions derived from cohort studies to assess the health impact of changes in indoor particle concentrations from outdoor sources. However, it may be important to re-scale the coefficients for assessing exposures of population groups who spend a greater proportion of their time at home.
机译:由于室外污染渗透到住宅室内环境中,导致城市地区大部分的颗粒物空气污染暴露。理论上的考虑表明,要量化由于室外来源引起的室内颗粒物浓度变化而对健康造成的影响,需要根据室外空气的流行病学研究调整暴露响应系数。以美国癌症协会(ACS)队列研究的PM 2.5死亡率系数为例,我们建立了理论模型来量化已发布系数与基于个人暴露的系数之间的关系,并探讨了如何应用调整后的系数从室外获取室内PM 2.5的变化。使用概率方法,我们估计的个人PM 2.5暴露的平均死亡率系数比ACS系数大30–50%。但是,由于室外来源的室内PM 2.5仅占总暴露量的一部分,因此室内暴露所需的平均净调整量非常适中。结果表明,通常合适的是应用来自队列研究的未经调整的暴露-反应函数来评估室外来源室内颗粒浓度变化对健康的影响。但是,重新评估系数可能很重要,以便评估将大部分时间花在家里的人口群体的暴露情况。

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