Duke University, USA.
University of Florida, USA.
Soc Sci Med. 2019 Apr;226:246-248. doi: 10.1016/j.socscimed.2019.01.036. Epub 2019 Jan 30.
Intersectionality is a powerful theoretical framework that is useful in describing the lived experiences of people with multiple marginalized statuses. By focusing on power and domination (e.g., racism, sexism), and the ways in which they are inextricably linked and mutually constructing, researchers can better understand experiences of all people, not just those with one or more master statuses. This framework is valuable in understanding how discrimination relates to health and in attempts to reduce health disparities.
Population health researchers have only recently begun to consider intersectionality in their theories and measurement (Bowleg, 2012), and have been hindered by the challenges of measuring and analyzing experiences of discrimination in intersectional ways. We need new methodological strategies to enable empirical research to catch up with theoretical advances.
The pair of articles in this issue by Scheim and Bauer (2019), and Bauer and Scheim (2019), offer important new data collection instruments and data analytic strategies to advance our ability to measure discrimination intersectionally. When using these new tools, it is important to not lose track of the origins and historical underpinnings of intersectionality and to focus on the transformative goal of intersectionality to eradicate inequality.
交叉性是一个强有力的理论框架，可用于描述具有多种边缘化地位的人的生活经历。通过关注权力和统治（例如种族主义、性别歧视），以及它们之间不可分割的联系和相互构建的方式，研究人员可以更好地理解所有人的经历，而不仅仅是那些具有一个或多个主要地位的人的经历。这一框架在理解歧视与健康的关系以及试图减少健康差距方面具有重要价值。
人口健康研究人员最近才开始在其理论和测量中考虑交叉性（Bowleg，2012），并且受到以交叉方式衡量和分析歧视经验的挑战的阻碍。我们需要新的方法策略，以使实证研究跟上理论的发展。
本期特刊中 Scheim 和 Bauer（2019）以及 Bauer 和 Scheim（2019）的两篇文章提供了重要的新数据收集工具和数据分析策略，以提高我们以交叉方式衡量歧视的能力。在使用这些新工具时，重要的是不要忽略交叉性的起源和历史背景，并关注交叉性消除不平等的变革性目标。
