Examining associations between protective factors, distal minority stress, substance use, and mental health in LGBTQ+ postsecondary students
Bibliographic record
Abstract
Objective: The current study examined constructs that may buffer effects of minority stress on substance use and mental health in LGBTQ+ (lesbian, gay, bisexual, transgender, queer+) postsecondary students. Participants: Online survey data from 435 LGBTQ+ college students throughout Oregon were used. Methods: Structural equation models examining distal minority stress, belonging/support, and their interaction as predictors of substance use (alcohol, cannabis, cigarette, and e-cigarette use) and past 30-day psychological distress in separate models. Results: The only identified significant interaction was between institutional belonging and distal minority stress for the distress outcome, suggesting higher levels of institutional belonging buffered the associations between distal minority stress and distress. Distal minority stress was associated with higher distress scores, and family support and friend support were associated with lower distress scores. Conclusions: Findings highlight how interventions or policies to improve campus climate and social support for LGBTQ+ students could confer benefits to LGBTQ+ students’ wellbeing.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".