Inter-observer agreement on subjects' race and race-informative characteristics.
Inter-observer agreement on subjects' race and race-informative characteristics.
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DOI：
10.1371/journal.pone.0023986
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发表时间：
2011
期刊：
影响因子：
3.7
通讯作者：
Kroth PJ
中科院分区：
文献类型：
--
作者：
Edgar HJ;Daneshvari S;Harris EF;Kroth PJ
健康和社会经济的差异往往是经历沿着种族和民族线，但调查人员不确定如何个人被分配到群体，或如何一致的过程是。为了解决这些问题，至少有两名观察员检查了1,919名正畸患者的记录，他们估计了每个人的种族和影响每个估计的特征。非洲裔和欧洲裔美国人在种族方面的一致性很高，但亚洲人、西班牙裔和美洲原住民的一致性不高。观察家们最常同意的一个重要指标是在估计群体成员的名字，特别是对亚洲和西班牙裔美国人。观察者几乎都是欧洲裔美国人，只有当他们也同意受试者是欧洲裔美国人时，他们才最常同意肤色是种族的重要指标。这表明，在一个多样化的社区中，浅色皮肤与特定群体有关，而一系列较深的色调可以与任何其他群体的成员有关。这项研究支持了类似的研究，表明医疗记录中的种族估计对非洲裔和欧洲裔美国人可能是可靠的，但对其他群体则不那么可靠。此外，这些结果表明，肤色并不是一个人种族的主要指标，但其他特征，如面部特征，增加了重要的信息。
Health and socioeconomic disparities tend to be experienced along racial and ethnic lines, but investigators are not sure how individuals are assigned to groups, or how consistent this process is. To address these issues, 1,919 orthodontic patient records were examined by at least two observers who estimated each individual's race and the characteristics that influenced each estimate. Agreement regarding race is high for African and European Americans, but not as high for Asian, Hispanic, and Native Americans. The indicator observers most often agreed upon as important in estimating group membership is name, especially for Asian and Hispanic Americans. The observers, who were almost all European American, most often agreed that skin color is an important indicator of race only when they also agreed the subject was European American. This suggests that in a diverse community, light skin color is associated with a particular group, while a range of darker shades can be associated with members of any other group. This research supports comparable studies showing that race estimations in medical records are likely reliable for African and European Americans, but are less so for other groups. Further, these results show that skin color is not consistently the primary indicator of an individual's race, but that other characteristics such as facial features add significant information.
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