Sexual Orientation and its Relation to Mental Disorders and Suicide Attempts: Findings from a Nationally Representative Sample
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
OBJECTIVE: To compare the rates of all Axis I and II mental disorders and suicide attempts in sexual orientation minorities with rates in heterosexuals using a nationally representative sample. METHOD: Data used were from the National Epidemiologic Survey on Alcohol and Related Conditions Wave 2 (n = 34 653, response rate = 70.2%). Cross-tabulations and multivariate logistic regression analyses were performed to determine differences in rates of mental disorders and suicide attempts by sexual orientation. All analyses were stratified by sex. RESULTS: Compared with their heterosexual counterparts, lesbians and bisexual women demonstrated a 3-fold increased likelihood of substance use disorders, and gay and bisexual men showed twice the rate of anxiety disorders and schizophrenia and (or) psychotic illness, even after accounting for mental disorder comorbidity. Suicide attempts were independently associated with bisexuality, with odds 3 times higher than in heterosexuals. CONCLUSION: Findings from our study emphasize the fact that sexual orientation minorities are vulnerable to poor mental health outcomes, including suicide attempts. Clinicians need to be aware of these specific negative mental health consequences when assessing sexual orientation minorities.
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 | 0.000 | 0.000 |
| 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) | 0.000 | 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