Dimensional and Categorical Correlates of Substance Use Disorders among Canadian Adolescents with Bipolar Disorder.
Bibliographic record
Abstract
OBJECTIVES: Despite increasing evidence of excessive substance use disorder (SUD) prevalence among adolescents with bipolar disorder (BP), little is known about this topic among Canadian adolescents with BP. We therefore sought to examine the clinical characteristics and dimensional measures of psychopathology associated with comorbid SUD among Canadian BP adolescents. METHOD: Participants were 100 adolescents, ages 13-19 years, with BP I, II, or not otherwise specified (NOS). Diagnoses (current and lifetime) were determined via the Schedule for Affective Disorders and Schizophrenia for School-Aged Children, Present and Lifetime version (KSADS-PL). Participants were considered to have lifetime SUD if they met DSM-IV criteria for abuse of or dependence on alcohol or any drug other than nicotine. Chi-square analyses and independent samples t-tests were followed by logistic regression analyses. RESULTS: The lifetime prevalence of SUD was 33% (primarily alcohol and cannabis use disorders). In univariate analyses, SUD was associated with greater lifetime prevalence of conduct disorder, oppositional defiant disorder, panic disorder, assault of others, and a greater number of stressful life events. SUD was significantly associated with greater self-reported impulsivity and parent-report of anger/depression in the adolescent. In multivariable analyses, SUD was associated with panic disorder and oppositional defiant disorder. CONCLUSION: SUD is highly prevalent among Canadian adolescents with BP and is associated with anxiety disorders, behavioural disorders, and trait impulsivity. Targeting these clinical characteristics may help guide preventative and treatment strategies for this population.
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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 | 0.000 |
| 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) | 0.002 | 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".