Mental health problems among transition-aged youth with physical disabilities: an initial evaluation
Bibliographic record
Abstract
Aim: Decreased participation and complex transitions into adulthood among youth with disabilities may impede their well-being. To advance knowledge on the co-occurrence of mental health problems and physical disability, this brief report describes the frequency of mental health problems, measured by the Behavior Assessment System of Children (BASC-3), among transition-aged youth (14-25 years) with physical disabilities and examines the association between mental health problems and sex, age, and number of functional issues. Methods: Thirty-three participants completed a demographic questionnaire and the BASC-3. Frequency of BASC-3 scales falling within 3 categories: "within norms", "at risk", and "clinically significant" were described. Crosstabs and Chi-square tests were used to examine the association between BASC-3 scales and sex, age (< and ≥ 20), and number of functional issues (< and ≥ 6). Results: Overall, "somatization", "self-esteem", "depression" and "sense of inadequacy" were the most common subscales being at risk. Participants with a higher number of functional issues (≥6) were more likely to fall within "at risk" or "clinically significant" categories across 20 (out of 22) BASC-3 scales, and female participants tended to fall more within "at risk" or "clinically significant" categories for 8 of BASC-3 scales. Younger participants (<20) were ranked in the "at risk" or "clinically significant" categories for 7 scales. Conclusions: Findings lend further support for the occurrence of mental health problems emerging in youth with physical disabilities and highlight initial trends especially across functional levels. Further investigation of such co-occurrences and the factors that affect their development is needed.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 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) | 0.001 | 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".