The Mental Health of Canadians With Self-Reported Learning Disabilities
Bibliographic record
Abstract
There has been growing concern as to the mental health status of persons with learning disabilities (PWLD). This study examined rates of mental health problems among PWLD aged 15 to 44 years using a large, nationally representative data set. PWLD were more than twice as likely to report high levels of distress, depression, anxiety disorders, suicidal thoughts, visits to mental health professionals, and poorer overall mental health than were persons without disabilities (PWOD). Multivariate regression analyses determined that these significantly higher rates of mental health problems remained for all six measures after controlling for confounding factors including income, education, social support, and physical health. Differences found in the older adult sample (ages 30-44) were even larger than in the adolescent sample (ages 15-21) for suicidal thoughts, depression, and distress. Males with learning disabilities were more likely to report depressive episodes, anxiety disorders, and consultations with health professionals, whereas females with learning disabilities were more likely to report high distress, suicidal thoughts, and poor general mental health relative to PWOD. On balance, learning disabilities were not found to be more detrimental to mental health for one gender or the other.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.003 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 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".