![]() We used data from 619 women who completed the Everyday Discrimination Scale for a perinatal study in the U.S. The outcome variables we modeled were posttraumatic stress disorder symptoms and a quality of life index score. ![]() We controlled for two structural inequality factors (low education, poverty) and three contextual factors (high crime neighborhood, racial minority status, and trauma exposures). We operationalized a meso- or interpersonal-level of intersectionality using two variables, the frequency score of discrimination experiences and the sum of characteristics listed as reasons for these (i.e., the person's race, ethnicity, gender, sexual orientation, nationality, religion, disability or pregnancy status, or physical appearance). We conducted a secondary analysis of a database that included two components of a widely used survey instrument, the Everyday Discrimination Scale. Our objective was to extend these methodological efforts by modeling intersectionality across three levels: structural, contextual, and interpersonal, consistent with a social-ecological framework. Strategies to date have focused on modeling demographic characteristics as proxies for structural inequality. Although intersectionality has been well-described conceptually, approaches to modeling it in quantitative studies of health outcomes are still emerging. Adverse health effects are thought to occur via social processes including discrimination and structural inequalities (i.e., reduced opportunities for education and income). ![]() Intersectionality is a term used to describe the intersecting effects of race, class, gender, and other marginalizing characteristics that contribute to social identity and affect health.
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