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Objective: The Eating Disorder Examination‐Questionnaire (EDE‐Q) is one of the most widely used self‐report assessments of eating disorder symptoms. However, evidence indicates potential problems with its original factor structure and associated psychometric properties in a variety of populations, including gender minority populations. The aim of the current investigation was to explore several previously published EDE‐Q factor structures and to examine internal consistency and measurement invariance of the best‐fitting EDE‐Q model in a large community sample of gender minority adults. Methods: Data were drawn from 1567 adults (337 transgender men, 180 transgender women, and 1050 gender‐expansive individuals) who participated in The PRIDE Study, a large‐scale longitudinal cohort study of sexual and gender minorities from the United States. A series of confirmatory factor analyses (CFAs) were conducted to explore the fit of eight proposed EDE‐Q models; internal consistency (Cronbach's alphas, Omega coefficients) and measurement invariance (multi‐group CFA) were subsequently evaluated. Results: A brief seven‐item, three‐factor (dietary restraint, shape/weight overvaluation, body dissatisfaction) model of the EDE‐Q consistently evidenced the best fit across gender minority groups (transgender men, transgender women, gender‐expansive individuals). The internal consistencies of the three subscales were adequate in all groups, and measurement invariance across the groups was supported. Discussion: Taken together, these findings support the use of the seven‐item, three‐factor version of the EDE‐Q for assessing eating disorder symptomatology in gender minority populations. Future studies can confirm the current findings in focused examinations of the seven‐item, three‐factor EDE‐Q in diverse gender minority samples across race, ethnicity, socioeconomic status, and age ranges. Public Significance Statement: Although transgender individuals have greater risk of developing an eating disorder, the factor structure of the Eating Disorder Examination‐Questionnaire, one of the most widely used eating disorder assessment measures, has not been explored in transgender adults. We found that a seven‐item model including three factors of dietary restraint, shape and weight overvaluation, and body dissatisfaction had the best fit among transgender and nonbinary adults. Key PointsWe assessed the Eating Disorder Examination‐Questionnaire in transgender men, transgender women, and gender‐expansive people.Confirmatory factor analysis of a seven‐item model had the best fit among gender minority people.The three factors included dietary restraint, shape and weight overvaluation, and body dissatisfaction.Internal consistencies of the three subscales and measurement invariance were adequate in all groups. [ABSTRACT FROM AUTHOR]

This study examined how race/ethnicity, sex/gender, and sexual orientation intersect under interlocking systems of oppression to socially pattern depression among US adults. With cross-sectional data from the 2015-2020 National Survey on Drug Use and Health (NSDUH; n=234,722), we conducted design-weighted multilevel analysis of individual heterogeneity and discriminatory accuracy (MAIHDA) under an intersectional framework to predict past-year and lifetime major depressive episode (MDE). With 42 intersectional groups constructed from seven race/ethnicity, two sex/gender, and three sexual orientation categories, we estimated age-standardized prevalence and excess/reduced prevalence attributable to two-way or higher interaction effects. Models revealed heterogeneity across groups, with prevalence ranging from 1.9-19.7% (past-year) and 4.5-36.5% (lifetime). Approximately 12.7% (past-year) and 12.5% (lifetime) of total individual variance were attributable to between-group differences, indicating key relevance of intersectional groups in describing the population distribution of depression. Main effects indicated, on average, people who were White, women, gay/lesbian, or bisexual had greater odds of MDE. Main effects explained most between-group variance. Interaction effects (past-year: 10.1%; lifetime: 16.5%) indicated a further source of heterogeneity around averages with groups experiencing excess/reduced prevalence compared to main effects expectations. We extend the MAIHDA framework to calculate nationally representative estimates from complex sample survey data using design-weighted, Bayesian methods., (© The Author(s) 2024. Published by Oxford University Press on behalf of the Johns Hopkins Bloomberg School of Public Health. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.)