While human mobility plays a crucial role in determining air pollution exposures and health risks, research to-date has assessed risks based solely on residential location. Here we leveraged a database of ~ 130 million workers in the US and published PM2.5 data between 2011-2018 to explore how incorporating information on both workplace and residential location changes our understanding of disparities in air pollution exposure. In general, we observed higher workplace exposures (W) relative to home exposures (H), as well as increasing exposures for non-white and less educated workers relative to the national average. Workplace exposure disparities were higher among racial and ethnic groups and job-types than by income, education, age, and sex. Not considering workplace exposures can lead to systematic underestimations in disparities to exposure among these subpopulations. We also quantified the error in assigning workers H, instead of a weighted home-and-work (HW) exposure. We observed that biases in associations between PM2.5 and health impacts by using H instead of HW were highest among urban, younger populations.
翻译:尽管人类迁移在决定空气污染暴露和健康风险方面起着至关重要的作用,但迄今为止的研究仅基于居住地评估了风险。本研究利用美国近1.3亿名工人的数据库和2011-2018年公布的PM2.5数据,探讨了如何整合工作和居住地址信息改变我们对空气污染暴露差异的理解。总体而言,我们观察到工作场所暴露量(W)相对于家庭暴露量(H)更高,并且非白人和教育程度较低的工人相对于全国平均水平暴露量增加。相对于收入、教育程度、年龄和性别而言,种族和族裔群体和工作类型之间的工作暴露差距更大。不考虑工作场所暴露量可能导致这些亚群体之间的暴露差异被系统性低估。我们还量化了将工人的H代替加权的家庭和工作(HW)暴露的误差。我们观察到,使用H而不是HW在PM2.5与健康影响之间的关联中的偏差最大的是年轻的城市人口。