Examining eating disorder pathology and self-stigma of help-seeking behaviors in a community sample of sexual minority adults: an intersectional investigation of race and gender.

Background: Self-stigma of seeking psychological help is a critical factor prohibiting individuals from seeking eating disorder (ED) treatment, but has been widely unexplored in racial/ethnic and sexual minority (SM) samples. The current study examined differences in ED pathology and self-stigma of help-seeking at the intersection of race and gender within a cisgender SM sample.

Methods: Cisgender SM participants ( = 354) identifying as Black, Indigenous, or People of Color (BIPOC; 52%), Asian American and Pacific Islander (AAPI; 24%), or White (24%) were recruited through Prolific Academic.

Differential effects of community involvement on eating disorder prevention outcomes in sexual minority men.

Prior research has been conflicted on whether gay community involvement serves as a risk or protective factor for body image and eating disorders (EDs) in sexual minority men (SMM), perhaps given that prior research has examined community involvement unidimensionally. The present study examined whether non-appearance-based ("social activism") and appearance-based ("going out/nightlife") community involvement differentially predicted ED prevention outcomes in SMM. SMM ( = 73) enrolled in a randomized controlled trial of an ED prevention program completed measures of community involvement, drive for muscularity, body dissatisfaction, and bulimic symptoms at pre-intervention, post-intervention, and 1-month follow-up.

Examining the association of structural stigmas with body image-related outcomes among sexual minority individuals.

Sexual minority individuals display heightened body image disturbance, which is associated with negative health outcomes. Structural stigmas are associated with negative health outcomes among sexual minority individuals, but the association between structural stigmas and body image is not understood. Using a linear regression approach, we examined how U.