Substance use and psychiatric disorders in Irish adolescents: a cross-sectional study of patients attending substance abuse treatment service
Bibliographic record
Abstract
Little information exists on the levels of psychiatric disorders among substance abusing adolescents in Ireland. The aim of the study is examine the pattern of psychiatric disorders and explore for gender differences among adolescents with a substance use disorder (SUD) in Ireland. A cross-sectional descriptive study and retrospective review of medical records on the 144 most recent admissions at the Youth Drug and Alcohol (YoDA) service, Dublin was carried out. Overall, 48% of the patients had a lifetime history of psychiatric disorders. Deliberate self-harm (DSH) was the most common condition (27.1%), followed by attention deficit hyperactivity disorder (20.8%) and depression (10.4%). Conduct disorder and oppositional defiant disorder were infrequently diagnosed. Compared with boys, the girls were more likely to have a lifetime history of psychiatric disorders (odds ratio 3.7; p = 0.005). These findings provide the first prevalence data on psychiatric disorders in a clinically representative sample of Irish adolescents with SUDs. Adolescent addiction services should have the skills to assess and manage co-occurring mental health problems. There is a need for further studies to examine DSH among adolescents with SUDs.
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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 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".