Parent Perceptions of Occurrence, Predictors, and Treatment of Mental Health Concerns in Youth with Intellectual Disability with or without Autism Spectrum Disorder
Bibliographic record
Abstract
Introduction Mental health concerns have been noted to be highly prevalent for youth with intellectual disability (ID), with or without autism spectrum disorder (ASD). The purpose of the current study was to examine a Canadian sample of youth with ID, with or without ASD, to explore caregiver-reported percentages, predictors, and treatment methods for mental health concerns.Method The sample included 358 caregivers who completed the GO4KIDDS survey on behalf of their child between the ages of 4 and 20 years (M = 11.36; SD = 3.82).Results In total, 56% of youth with ID (with or without ASD) were reported to experience mental health concerns. Adaptive functioning and diagnosis were significant predictors of mental health concerns. Of the youth who were reported to experience mental health concerns, 80% received some type of treatment, most commonly informal therapies (52%).Conclusion More than half of the samples were reported to experience mental health concerns and while the majority received some type of treatment, many of the treatments utilized are not evidence-based.
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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 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 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".