ArticleSexual and gender diversity in social services2024
"Straight-acting white for same": In-person and online/app-based discrimination exposure among sexual minority men.
Article in Sexual and gender diversity in social services, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed.
- Geosocial networking apps and disordered eating among queer Asian American men: a serial mediation model of racial oppression.Journal of eating disorders · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
Abstract
This study quantitatively and qualitatively examined prevalence, frequency, and content of discrimination exposure among gay, bisexual and other sexually minoritized men (SMM) within sexual minority contexts. Participants were an online, U.S. national sample of 14,133 SMM who reported discrimination exposure within sexual minority contexts targeting: body type, race, sexual behavior, HIV status, gender expression, age, and income/employment. Quantitative analyses included prevalence percentages and frequencies and ANOVAs, t-tests, and correlations to examine frequency of discrimination exposure type across participant race/ethnicity, sexual identity, gender identity, HIV status, age, and income. Qualitative analyses included conventional content analysis of responses to an open-ended discrimination exposure item. Results showed that discrimination exposure was nearly universal (99%). Discrimination exposure frequency was lowest among White men and, other than for income/employment discrimination exposure, highest among Asian/Pacific Islander men. For several discrimination types, exposure frequency was highest among groups targeted by group-specific negative stereotypes (e.g., Black men were exposed to the most income/employment discrimination). Qualitative analyses highlighted specific exposures to discrimination targeting body type, race/ethnicity, gender identity, attractiveness, education, and intersections between forms of discrimination. Over 69% of write-in responses were relevant to online/app-based discrimination. Findings underscore the importance of examining individual and intersectional discrimination exposure targeting marginalized social positions within sexual minority communities, particularly in online/app contexts.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.