Longitudinal Emergence of Concurrent Mental Health and Substance Use Concerns in an Ontario School-Based Sample: The Research and Action for Teens Study.
Bibliographic record
Abstract
OBJECTIVES: This study characterizes patterns of mental health, substance use and their co-occurrence, and identifies developmental trajectories associated with progression from single to concurrent mental health and substance use concerns in an Ontario school-based population. It is a longitudinal extension of the Ontario Student Drug Use and Mental Health Survey, as part of the RAFT collaborative project. METHODS: In this study, an Ontario-wide survey was administered to students across three biennial waves starting in grades 7-8 (ages 12-14). We explored how developmental patterns of externalizing, internalizing and co-occurring symptoms were differentially associated with late-adolescent (ages 17-19) problematic substance use. RESULTS: On average, students exhibited early (ages 12-14) moderate risk of an internalizing and/or externalizing disorder and approached the low threshold for a diagnostic concern for substance use disorder at age 17-19. The pattern confirmed a potential pathway from early mental health concerns to later adolescent problematic substance use, with rates of co-occurrence increasing with age. Youth with early moderate-to high externalizing and co-occurring internalizing and externalizing symptomology had the highest levels of problematic substance use, with scores indicating high likelihood of a substance use disorder diagnosis. CONCLUSIONS: Given the overall pattern of progression, early identification and referral of at-risk youth, especially youth with co-occurring mental health concerns, is of critical importance. Findings support the importance of integrated and co-located mental health and substance use services for youth to more effectively serve a diverse population of youth with varying levels of need.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| 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".