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Record W1781501728 · doi:10.1111/jir.12080

Intellectual disability and co‐occurring mental health and physical disorders in aggressive behaviour

2013· article· en· W1781501728 on OpenAlex
Anne G. Crocker, Anđelka Prokić, Diane Morin, Andrew-Thomas Reyes

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueJournal of Intellectual Disability Research · 2013
Typearticle
Languageen
FieldMedicine
TopicDown syndrome and intellectual disability research
Canadian institutionsUniversité du Québec à MontréalMcGill UniversityDouglas Mental Health University Institute
FundersCanadian Institutes of Health Research
KeywordsMental healthIntellectual disabilityPsychologyIntervention (counseling)PopulationOddsPsychological interventionPsychiatryClinical psychologyGerontologyMedicineLogistic regressionEnvironmental health

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.030
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.086
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.030
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.007
Scholarly communication0.0000.001
Open science0.0000.001
Research integrity0.0000.003
Insufficient payload (model declined to judge)0.0030.000

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.

Opus teacher head0.065
GPT teacher head0.428
Teacher spread0.363 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it