Minority Stress Predicts Depression in Lesbian, Gay, and Bisexual Emerging Adults via Elevated Diurnal Cortisol
Bibliographic record
Abstract
Lesbian, gay, and bisexual (LGB) individuals report higher levels of stressful interpersonal conflicts with others because of their divergence from heterosexual social norms. In a biopsychosocial model of minority stress, we tested diurnal cortisol slopes and internalized homonegativity (IH) as two potential mechanisms linking experiences of LGB-related stress to depression. The sample consisted of 27 lesbian and bisexual young women and 35 gay and bisexual young men ( N = 62; age, 17–27, M = 21.34 years) from the greater metropolitan area of Montréal, Québec. We predicted that (a) LGB-related stress, IH, and diurnal cortisol slopes would be positively associated with each other and with depression; and (b) flatter diurnal cortisol slopes and/or greater IH would mediate the link between LGB-related stress and depression. LGB-related stress, diurnal cortisol slopes, and IH were positively associated with depression, and mediation analyses showed that diurnal cortisol slopes mediated the link between LGB-related stress and depression. These findings suggest that external stressors associated with being LGB can impact individuals’ physiological coping resources, thus affecting their psychological health.
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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 | 0.000 | 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 | 0.001 | 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".