Rubio Ricardo, Grineski Sara, Collins Timothy, Morales Danielle X
Department of Sociology, University of Utah, 201 Presidents Cir, Salt Lake City, UT 84112. USA.
Department of Geography, University of Utah, 201 Presidents Cir, Salt Lake City, UT 84112, USA.
Soc Nat Resour. 2020;33(8):987-1005. doi: 10.1080/08941920.2019.1708521. Epub 2020 Jan 17.
Previous studies of US environmental inequalities have focused on racial/ethnic differences in air pollutant exposure. Few have applied an intracategorical framework, which enables the identification of within-group differences through the examination of subgroups. We applied this framework to examine exposure disparities between 26 ancestry/ethnic origin groups within five US racial/ethnic categories. Data come from the US Census, American Community Survey, and National Air Toxics Assessment. We calculated national population-weighted lifetime cancer risk (LCR) scores from residential exposure to hazardous air pollutants. Results showed that Americans of Dominican, Ethiopian, and Somalian descent have the highest total LCR scores at 53.1, 49.2, and 48.3 estimated excess cases of cancer per one million people, respectively. Use of the intracategorical framework enabled characterization of disparate risks that would be overlooked based on the conventional assumption that racial/ethnic environmental inequalities conform to broad, homogenous categories. Intracategorical studies can inform interventions by identifying environmentally-disadvantaged socio-demographic groups.
此前关于美国环境不平等的研究主要聚焦于空气污染物暴露方面的种族/族裔差异。很少有研究应用类别内框架,该框架能够通过对亚组的考察来识别组内差异。我们应用此框架来研究美国五个种族/族裔类别中26个血统/族裔群体之间的暴露差异。数据来自美国人口普查、美国社区调查和国家空气毒物评估。我们根据居民对有害空气污染物的暴露情况计算了全国人口加权终身癌症风险(LCR)分数。结果显示,多米尼加、埃塞俄比亚和索马里裔美国人的LCR总分最高,每100万人中估计分别有53.1、49.2和48.3例额外癌症病例。使用类别内框架能够刻画不同的风险,而基于种族/族裔环境不平等符合宽泛、同质类别的传统假设,这些风险会被忽视。类别内研究可以通过识别环境处于劣势的社会人口群体来为干预措施提供信息。