Frequency of Mental Health Disorders in a Sample of Elementary School Students Receiving Special Educational Services for Behavioural Difficulties
Bibliographic record
Abstract
OBJECTIVE: Despite being essential for defining and planning special educational services, very few data are available in Quebec regarding the nature and extent of behavioural difficulties presented by children who receive special educational services at school. This study provides a picture of the frequency of disruptive behaviour disorders (that is, attention-deficit hyperactivity disorder [ADHD], oppositional defiant disorder [ODD], and conduct disorder [CD]) and internalized disorders (including generalized anxiety disorder [GAD] and major depressive episode [MDE]) in a sample of elementary school students receiving special educational services for behavioural difficulties (n = 324). METHOD: In this descriptive study, we established the presence of mental health disorders according to teacher-, parent-, and child-reported data that were obtained using structured diagnostic interviews based on DSM-IV criteria. We also examined prevalence rates by sex and age group. RESULTS: Three-quarters of the students met the criteria for ADHD, one-half for ODD, and one-third for CD. About 14% of the students presented with a GAD or met the criteria for an MDE in the past year. Only 2% of the students presented with an internalized disorder without a comorbid disruptive behaviour disorder. CONCLUSIONS: Our results suggest that among students receiving special educational services for behavioural difficulties, a large proportion may have difficulties severe enough to meet the criteria for at least one DSM-IV disruptive behaviour disorder. Such findings may underscore the need to develop more collaboration between the mental health and education sectors in rehabilitating these children.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".