Childhood Maltreatment and Conduct Disorder: Independent Predictors of Adolescent Substance Use Disorders in Youth with Attention Deficit/Hyperactivity Disorder
Bibliographic record
Abstract
Children with attention deficit/hyperactivity disorder (ADHD) are at heightened risk for maltreatment and later substance use disorders (SUDs). We investigated the relationship of childhood maltreatment and other risk factors to SUDs among adolescents diagnosed with ADHD in childhood. Eighty adolescents diagnosed with ADHD when they were 7 to 11 years old were screened for histories of childhood maltreatment, and SUD diagnoses were formulated in accordance with the 4th edition of the Diagnostic and Statistical Manual of Mental Disorders. Lifetime history of problematic substance use was obtained for each parent at baseline. Childhood maltreatment predicted SUD outcome over and above that accounted for by childhood conduct disorder and problematic parental substance use, two potent predictors of adolescent 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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| 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".