Intellectual disability and co‐occurring mental health and physical disorders in aggressive behaviour
Bibliographic record
Abstract
BACKGROUND: Mental and physical health problems are more prevalent among individuals with an intellectual disability (ID) than in the general population. Studies suggest that there may be significant associations between these co-occurring disorders and aggressive behaviour, but few studies have taken into account multiple mental and physical problems, as well as their level of severity. OBJECTIVES: The main goal of this study was to identify the associations between different types of aggressive behaviour and various types of physical and mental health problems. METHODS: These associations were explored through a cross-sectional study of 296 adult men and women with mild or moderate ID living in the community and receiving ID services. Information was gathered through interviews with ID participants, case managers and file review. RESULTS: The results show that individuals with ID who have more mental and physical health problems have higher odds of displaying aggressive behaviour than those with fewer and less severe physical health problems. DISCUSSION: These results can help guide future prevention and intervention strategies for persons with ID who display aggressive behaviour or who are at risk of become aggressive.
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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 | 0.003 |
| 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 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".