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特邀评论:居住隔离与健康——对不同社会环境进行建模的复杂性

Invited commentary: residential segregation and health--the complexity of modeling separate social contexts.

作者信息

Acevedo-Garcia Dolores, Osypuk Theresa L

机构信息

Department of Society, Human Development and Health, Harvard School of Public Health, 766 Huntington Avenue, Boston, MA 02115, USA.

出版信息

Am J Epidemiol. 2008 Dec 1;168(11):1255-8. doi: 10.1093/aje/kwn290. Epub 2008 Oct 28.

Abstract

When researching racial disparities in health, residential segregation cannot be ignored. Because of segregation, contextual differences by race are so pronounced that ignoring them may lead to mis-estimating the effect of individual-level factors. However, given the stark racial separation of social contexts, researching how residential segregation and neighborhood inequality contribute to racial health disparities remains methodologically challenging. Estimating the contribution of neighborhood effects to health disparities would require overlap in the racial distributions of neighborhood environment, for example, in the distributions of neighborhood poverty. Because of segregation, though, the extent of such overlap is extremely restricted. Previous analyses of the 2000 US Census found, on average, only a 24% overlap between the distribution of neighborhood poverty for black children and that for white children in metropolitan areas. Propensity score methods may be 1 useful tool for addressing limited overlap or exchangeability. However, as shown by their application to the segregation and health relation, their use should be informed by a sound conceptualization of the scale of the social exposure of interest, the hypothesized pathways between the exposure and the health outcome, and possible unmeasured confounders.

摘要

在研究健康方面的种族差异时,居住隔离不容忽视。由于隔离,不同种族的环境差异非常明显,忽视这些差异可能会导致对个体层面因素的影响估计错误。然而,鉴于社会环境存在明显的种族隔离,研究居住隔离和社区不平等如何导致种族健康差异在方法上仍然具有挑战性。估计社区效应对健康差异的贡献需要社区环境的种族分布存在重叠,例如社区贫困分布的重叠。然而,由于隔离,这种重叠的程度极其有限。先前对2000年美国人口普查的分析发现,在大都市地区,黑人儿童和白人儿童的社区贫困分布平均仅有24%的重叠。倾向得分方法可能是解决有限重叠或可交换性问题的有用工具。然而,正如其在隔离与健康关系中的应用所示,其使用应基于对感兴趣的社会暴露规模、暴露与健康结果之间的假设路径以及可能未测量的混杂因素的合理概念化。

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