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Trans women of color contend with multiple marginalizations; the purpose of this study is to examine associations between experiencing discriminatory (racist/transphobic) events and depression symptoms. It uses a categorical measure of combined discrimination, and examines a protective association of transgender identity on depression symptoms.

Data from a subset of trans women of color participants in the Sheroes study were analyzed with linear and logistic regression. Associations of depression symptoms with racist and transphobic events, combined discrimination, coping self-efficacy, and transgender identity were assessed with odds ratios.

Exposure to discriminatory events and combined discrimination positively associated with depression symptom odds. Increased transgender identity associated with increased coping self-efficacy, which negatively associated with depression symptom odds.

Cross-sectional study data prohibits inferring causality; results support conducting longitudinal research on discrimination's health effects, and research on transgender identity. Results also support operationalizing intersectionality in health research. The study's categorical approach to combined discrimination may be replicable in studies with hard to reach populations and small sample sizes.

Health programs could pursue psychosocial interventions and anti-discrimination campaigns. Interventions might advocate increasing participants’ coping self-efficacy while providing space to explore and develop social identity.

There is a need for policy and health programs to center trans women of color concerns.

This study examines combined discrimination and identity in relation to depression symptoms among trans women of color, an underserved population.

The purpose of this paper is to outline the use of intersectionality theory in research with gender and sexual minorities – that is, with lesbian, gay, bisexual, trans, and queer (LGBTQ) people, and lesser-studied groups such as two-spirited people.

First, the paper note the limited way that LGBTQ research has taken up issues of intersecting oppression. The paper outlines why theoretical and methodological attention to overlapping oppressions is important, and why theorists of intersectionality have identified the additive model as inadequate. The paper presents a sketch of current best practices for intersectional research, notes special issues for intersectional research arising within qualitative and quantitative paradigms, and finishes with an overview of how these issues are taken up in this special issue of Ethnicity and Inequalities in Health and Social Care.

Current best practices for intersectional research include. Bringing a critical political lens to data analyses; contextualizing findings in light of systemic oppressions; strategically using both additive and multivariate regression models; and bringing a conscious awareness of the limitations of current methods to our analyses.

This paper addresses the use of intersectionality theory in research with gender and sexual minorities, highlighting methodological issues associated with qualitative and quantitative paradigms in LGBTQ research.