Federal University of Pelotas, Department of Social Medicine, Rua Marechal Deodoro, 1160, 96020-220 Pelotas, Rio Grande do Sul, Brazil.
Soc Sci Med. 2010 Apr;70(7):1091-9. doi: 10.1016/j.socscimed.2009.12.020. Epub 2010 Feb 1.
The literature addressing the use of the race variable to study causes of racial inequities in health is characterized by a dense discussion on the pitfalls in interpreting statistical associations as causal relationships. In contrast, fewer studies have addressed the use of racial discrimination scales to estimate discrimination effects on health, and none of them provided a thorough assessment of the scales' psychometric properties. Our aim was to systematically review self-reported racial discrimination scales to describe their development processes and to provide a synthesis of their psychometric properties. A computer-based search in PubMed, LILACS, PsycInfo, Scielo, Scopus and Web of Science was conducted without any type of restriction, using search queries containing free and controlled vocabulary. After initially identifying 3060 references, 24 scales were included in the review. Despite the fact that discrimination stands as topic of international relevance, 23 (96%) scales were developed within the United States. Most studies (67%, N = 16) were published in the last 12 years, documenting initial attempts at scale development, with a dearth of investigations on scale refinements or cross-cultural adaptations. Psychometric properties were acceptable; sixteen of all scales presented reliability scores above 0.7, 19 out of 20 instruments confirmed at least 75% of all previously stated hypotheses regarding the constructs under consideration, and conceptual dimensional structure was supported by means of any type of factor analysis in 17 of 21 scales. However, independent researchers, apart from the original scale developers, have rarely examined such scales. The use of racial terminology and how it may influence self-reported experiences of discrimination has not yet been thoroughly examined. The need to consider other types of unfair treatment as concurrently important health-damaging exposures, and the idea of a universal instrument which would permit cross-cultural adaptations, should be discussed among researchers in this emerging field of inquiry.
探讨种族变量在研究健康方面种族不平等原因的文献,其特点是密集讨论了将统计关联解释为因果关系的陷阱。相比之下,较少的研究涉及使用种族歧视量表来估计歧视对健康的影响,而且没有一项研究对量表的心理测量特性进行了全面评估。我们的目的是系统地回顾自我报告的种族歧视量表,描述它们的开发过程,并综合它们的心理测量特性。在没有任何类型限制的情况下,我们在 PubMed、LILACS、PsycInfo、Scielo、Scopus 和 Web of Science 中进行了基于计算机的搜索,使用包含自由和受控词汇的搜索查询。最初确定了 3060 篇参考文献后,有 24 个量表被纳入了综述。尽管歧视是一个具有国际相关性的话题,但 23 个(96%)量表是在美国开发的。大多数研究(67%,N=16)发表于过去 12 年,记录了量表开发的初步尝试,而对量表的细化或跨文化适应性的研究却很少。心理测量特性是可以接受的;在所有量表中,有 16 个的可靠性得分高于 0.7,在考虑的结构下,有 19 个仪器验证了至少 75%的先前假设,而 21 个量表中有 17 个通过任何类型的因子分析支持概念维度结构。然而,除了原始量表开发者之外,独立的研究人员很少对这些量表进行检验。种族术语的使用以及它如何影响自我报告的歧视经历尚未得到充分研究。需要考虑其他类型的不公平待遇作为同等重要的健康损害因素,以及一种通用的仪器,可以进行跨文化适应性调整,这应该在这个新兴研究领域的研究人员中进行讨论。