Suppr超能文献

美国工业空气毒物暴露的交叉不平等现象。

Intersectional inequalities in industrial air toxics exposure in the United States.

机构信息

Department of Sociology, University of California-Merced, 5200 N. Lake Rd., Merced, CA, 95343, USA.

Keough School of Global Affairs, University of Notre Dame, 1010 Jenkins Nanovic Halls, Notre Dame, IN, 46556-5677, USA.

出版信息

Health Place. 2022 Sep;77:102886. doi: 10.1016/j.healthplace.2022.102886. Epub 2022 Aug 21.

Abstract

Environmental justice and health research demonstrate unequal exposure to environmental hazards at the neighborhood-level. We use an innovative method-eco-intersectional multilevel (EIM) modeling-to assess intersectional inequalities in industrial air toxics exposure across US census tracts in 2014. Results reveal stark inequalities in exposure across analytic strata, with a 45-fold difference in average exposure between most and least exposed. Low SES, multiply marginalized (high % Black, high % female-headed households) urban communities experienced highest risk. These inequalities were not described by additive effects alone, necessitating the use of interaction terms. We advance a critical intersectional approach to evaluating environmental injustices.

摘要

环境公正和健康研究表明,在社区层面,人们面临的环境危害存在不平等的暴露情况。我们采用一种创新的方法——生态交叉多层次(EIM)建模,来评估 2014 年美国普查区工业空气毒物暴露的交叉不平等情况。结果显示,在分析阶层中,暴露情况存在明显的不平等,在最暴露和最不暴露之间的平均暴露差异达到了 45 倍。社会经济地位低、受多种因素影响(高比例黑人、高比例女性户主家庭)的城市社区面临着最高的风险。这些不平等情况不能仅用加性效应来描述,需要使用交互项。我们提出了一种批判性的交叉方法来评估环境不公正问题。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验