Transdiagnostic Symptoms in Children with Neurodevelopmental Disabilities and Perceived Parent-Child Relationship Quality: A Pilot Study
Bibliographic record
Abstract
Abstract This pilot study examined associations between transdiagnostic symptoms and parent-perceived parent-child relationship quality in treatment-seeking families of children with neurodevelopmental disabilities, and interactions among clinical symptoms and cognitive functioning. Sixty-three children between 8 to 13 years of age and their caregivers were assessed at baseline while seeking cognitive behaviour therapy for emotion regulation and mental health difficulties. Diagnoses included autism, ADHD, cerebral palsy, and learning disability, with 52% of children having multiple diagnoses. Parent-perceived parent-child relationship quality was assessed by the Positive Affect Index, autism symptoms (e.g., social communication, repetitive behaviours) by the Social Responsiveness Scale, Second Edition, mental health (i.e., internalizing problems, externalizing problems, behavioural symptoms) by the Behaviour Assessment Scale for Children, Third Edition, and IQ by the Weschler Abbreviated Scale of Intelligence, Second Edition. Results revealed that higher IQ scores and greater social communication challenges, externalizing problems, and behavioural symptoms, were associated with lower parent-child relationship quality. Interaction effects were found between IQ and social communication challenges, reflecting significantly stronger relationships between social communication challenges and lower parent-child relationship quality in the context of higher IQ. Understanding the interactions between cognitive functioning and social communication challenges can help to inform individualized supports, and advocate for a transdiagnostic approach to intervention.
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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 | 0.002 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".