Determinants of Service Use among Young Canadians with Mental Disorders
Bibliographic record
Abstract
OBJECTIVE: To identify the determinants of service use by young Canadians with mental health problems. METHODS: Data were drawn from a recent large Canadian mental health survey. The analyses were conducted on a subsample of 1092 Canadians aged 15 to 24 years and identified as presenting a mood disorder, an anxiety disorder, or a substance-related disorder in the 12 months preceding the survey. We classified variables potentially associated with any type of service use for a mental health problem over a 12-month period according to predisposing, enabling, and need factors. We conducted weighted multivariate logistic regressions to determine the association of each factor with service use. RESULTS: In the final model, being female and living alone were the predisposing factors associated with service use. None of the enabling factors predicted help seeking. In regard to the perceived need factors, those who had difficulties with social situations were more likely to use services. Having a mood disorder and (or) having a diagnosed chronic illness were the evaluated need factors associated with service use. CONCLUSION: Certain groups of young Canadians are less likely to seek help for mental health problems and could be the target of interventions aimed at increasing service use.
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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 | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".