Mental health service utilization in a sexually diverse, representative sample of high school students
Bibliographic record
Abstract
This article describes patterns of mental health service (MHS) utilization in the past 12 months (counselor or community worker, group meeting attendance, and prescribed medication) across gender, sexual orientation, and perceived discrimination based on sexual orientation and/or gender expression. We conducted a self-administered survey in a sample of 8,194 students in grades 10, 11, and 12 (mean age = 15.4; 58% girls; 18% sexual minority youths [SMY]) from 34 randomly selected high schools from an eligible pool from the Quebec Ministry of Education. The most common MHS used was consulting a counselor or a community worker (15%), followed by group meeting attendance (5%), and having medication prescribed (3%). After controlling for mental health status and sociodemographic variables, and despite variations among sexual orientation subgroups, SMYs were consistently equally or more likely than different-gender-attracted youths to report using the MHSs investigated. Perceived discrimination based on sexual orientation and/or gender expression was associated with higher rates of MHS utilization. This study contributes to a better understanding of youths’ MHS utilization and highlights the role of perceived discrimination based on sexual orientation and/or gender expression in triggering MHS needs.
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 | 0.001 | 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) | 0.001 | 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".