Family Support and Sociocultural Factors on Depression among Black and Latinx Sexual Minority Men
Bibliographic record
Abstract
Family-based approaches are critical for improving health outcomes in sexual minority men (SMM) of color. Yet, it is unclear how family context, internalized homophobia, and stress influence mental health outcomes among sexual minority men of color. From a cross-sectional sample of 448 participants, aged 16–24 years, survey data were analyzed to examine rates of family social support, the perception of sexuality by family, the stressfulness of life events, internalized homophobia, and other contextual variables on depression using linear regression. Our results indicated that an 86% increase in family social support was related to a −0.14 decrease in depression (ß = −0.14, p = 0.004). In addition, SMM who were separated by family and friends because of their sexuality were statistically significant and positively associated with depression (ß = 0.09, p < 0.001). Findings from our study suggest that the influence from the microsystem is salient in modifying mental health outcomes for SMM of color.
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.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".