Childhood Trauma and ADHD Diagnosis as Predictors of Consistently Elevated Internalizing Symptoms
Bibliographic record
Abstract
Many children adapt well to life after trauma, but children with ADHD may be at risk for posttraumatic maladaptation.ADHD is often comorbid with mental health disorders and deficits in cognitive functioning.Using data from the Multimodal Treatment of Children with ADHD study, a randomized clinical trial that tested treatments for ADHD in 579 children and later recruited 289 comparison children, the present study tests whether trauma predicts more severe levels and faster increases in depression and anxiety for children with ADHD versus developmentally typical peers.Interpersonal trauma predicted elevated depression and anxiety symptom severity, but not trajectories.Natural trauma predicted elevated anxiety symptoms, but not trajectories.Last, ADHD diagnosis predicted elevated depression symptoms, but not trajectories.There were no trauma x ADHD interactions on symptom levels or trajectories.This study informs practice and policy by guiding practitioners to use trauma history to identify children who demonstrate persistent internalizing symptoms.
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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 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".