Multiple Minority Stress and Behavioral Health Among Young Black and Latino Sexual Minority Men
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Purpose: Young Black and Latino sexual minority men may experience multiple minority stressors, which may negatively impact behavioral health. To investigate this, longitudinal associations between multiple minority stressors and behavioral health outcomes were examined over a 2-year period. Methods: Data were from the Healthy Young Men's Cohort Study. The present study used five waves of data collected every 6 months from 2016 to 2019. Participants were young Black and/or Latino sexual minority men in Los Angeles, California ( n = 448; aged 16–24). Participants self-reported their experiences of racial and homonegative discrimination, internalized homonegativity, alcohol use, and depressive symptoms. Latent growth curve models with time-varying covariates examined contemporaneous associations between minority stressors as well as general life stress and behavioral health measures. Results: After accounting for general life stress and demographic characteristics, racial discrimination was persistently associated with unhealthy alcohol use. Internalized homonegativity was associated with unhealthy alcohol use initially, but this association became non-significant over time. In models predicting depressive symptoms, racial discrimination was a significant predictor at early waves, and homonegative discrimination and internalized homonegativity emerged as significant predictors at later waves. Conclusion: These results help clarify which multiple minority stressors are more prominent in their relationship to young Black and Latino sexual minority men's unhealthy alcohol use and depressive symptoms. Interventions targeting multiple minority stressors may be needed at different times during young adulthood.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it