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美国残疾人接触细颗粒物空气污染的差异。

Disparities in exposure to fine particulate air pollution for people with disabilities in the US.

机构信息

Department of Sociology and Anthropology, University of Texas at El Paso, 500 West University Avenue, El Paso, TX 79968, USA.

出版信息

Sci Total Environ. 2022 Oct 10;842:156791. doi: 10.1016/j.scitotenv.2022.156791. Epub 2022 Jun 21.

Abstract

Although chronic air pollution has been found to be disproportionately distributed with respect to race/ethnicity and socioeconomic status in the US, previous research on social disparities in air pollution exposure has not focused on persons with disabilities (PwDs). This gap is addressed here by conducting the first national-scale study of the relationship between outdoor exposure to fine particulate matter (PM) and disability status in the continental US. Census tract-level data on average annual PM concentrations (2011-2015) were linked with relevant variables from the 2015 American Community Survey five-year estimates. Statistical analyses were based on bivariate and multivariable generalized estimating equations that account for spatial clustering of tracts within counties. Results indicated that the overall percentage of civilian noninstitutionalized persons with a disability and multiple types of disability are higher in neighborhoods with greater PM exposure, after controlling for race/ethnicity, poverty, renter occupancy, older age, population density, and metropolitan status. The percentages of PwDs with cognitive and independent living difficulties indicated stronger positive associations with PM exposure, compared to those with other types of difficulties. These findings represent an important starting point for more detailed research investigations and policy interventions that seek to mitigate disproportionate air pollution exposure for this vulnerable group.

摘要

尽管在美国,慢性空气污染在种族/民族和社会经济地位方面存在不成比例的分布,但以前关于空气污染暴露方面的社会差异的研究并未关注残疾人士(PwDs)。本研究通过在美国大陆进行的第一项关于室外细颗粒物(PM)暴露与残疾状况之间关系的全国性研究,解决了这一差距。将 2011-2015 年的平均年度 PM 浓度的普查地段数据与 2015 年美国社区调查五年估计中的相关变量相关联。基于双变量和多变量广义估计方程的统计分析考虑了县内地段的空间聚类。结果表明,在控制了种族/民族、贫困、租房者入住率、年龄较大、人口密度和大都市地位之后,在 PM 暴露程度较高的社区中,残疾的非机构化平民和多种残疾的总体百分比更高。与其他类型的残疾相比,认知和独立生活困难的 PwDs 与 PM 暴露之间呈更强的正相关关系。这些发现代表了更详细的研究调查和政策干预的重要起点,这些调查和政策干预旨在减轻这一弱势群体不成比例的空气污染暴露。

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