Sexual Orientation and Disclosure in Relation to Psychiatric Symptoms, Diurnal Cortisol, and Allostatic Load
Bibliographic record
Abstract
OBJECTIVES: Lesbian, gay, and bisexual (LGB) individuals-particularly those who have not disclosed their sexual orientation-are believed to experience increased chronic stress in comparison with heterosexuals. This interdisciplinary study assessed whether psychiatric symptoms (self-rated anxiety, depression, and burnout), stress hormone profiles (diurnal cortisol), and physiological dysregulations (allostatic load [AL]) would differ for a) LGBs versus heterosexuals and b) disclosed LGBs versus nondisclosed LGBs. METHODS: The study included 87 healthy participants (mean [SD] age=24.6 [0.6] years; LGB n=46, 43% women; and heterosexual n=41, 49% women). Diurnal cortisol sampled at five time points was averaged for 2 days. AL indices were based on an algorithm incorporating 21 biomarkers representing neuroendocrine, immune/inflammatory, metabolic, and cardiovascular functioning. Psychological measures were assessed with well-validated questionnaires. RESULTS: Between-group results revealed no significant differences in symptoms of anxiety and burnout, nor among diurnal cortisol levels between sexual orientations. By contrast, gay/bisexual men unexpectedly had lower depressive symptoms (p=.003) and AL levels (p=.043) compared with heterosexual men. Within-group results revealed that disclosed LGBs had fewer psychiatric symptoms (p values<0.01) and lower cortisol levels +30 minutes upon awakening (p=.004) compared with nondisclosed LGBs. Disclosure was not significantly related to AL levels. CONCLUSIONS: LGBs did not manifest more stress-related problems than did heterosexuals. Life transitions like disclosing to one's family and friends may be protective against psychopathologies and hyperactive cortisol awakening responses. Our novel findings underline the roles disclosure processes have on positive health and well-being for sexual minorities.
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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 | 0.002 |
| 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) | 0.001 | 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".