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Record W2101429568 · doi:10.1177/070674370505000111

Attention-Deficit Hyperactivity Disorder with and without Obsessive—Compulsive Behaviours: Clinical Characteristics, Cognitive Assessment, and Risk Factors

2005· article· en· W2101429568 on OpenAlexaffvenue
Paul Arnold, Abel Ickowicz, Shirley Chen, Russell Schachar

Bibliographic record

VenueThe Canadian Journal of Psychiatry · 2005
Typearticle
Languageen
FieldMedicine
TopicAttention Deficit Hyperactivity Disorder
Canadian institutionsHospital for Sick ChildrenUniversity of TorontoSickKids FoundationCentre for Addiction and Mental Health
Fundersnot available
KeywordsCognitionPsychologyAttention deficit hyperactivity disorderClinical psychologyPsychiatryObsessive compulsive

Abstract

fetched live from OpenAlex

OBJECTIVES: To determine the prevalence of obsessive--compulsive behaviours (OCB) in a clinical sample of children with attention-deficit hyperactivity disorder (ADHD) and to compare ADHD children (with and without OCB) with respect to clinical and cognitive characteristics and risk factors. METHOD: We compared ADHD children (n = 134) with and without OCB, and we compared all ADHD children with a group of normal control subjects (n = 26) on various clinical, cognitive, and inhibitory control measures; neurobiological and psychosocial risk factors; and family histories of psychiatric illness. RESULTS: Clinically significant OCB was identified in 11.2% (15/134) of children with ADHD. Comorbid OCB was associated with significantly increased perfectionism, improved teacher ratings of inattention, and a decreased likelihood of having a first-degree relative with ADHD. Comorbid ADHD and OCB may also be associated with increased oppositional behaviour at home and better inhibitory control, though these differences were not statistically significant. CONCLUSIONS: Comorbid OCB is common in clinically referred children with ADHD and is associated with increased impairment relative to ADHD alone. Further, children with ADHD and OCB may develop symptoms as the result of different genetic and environmental risk factors, compared with children with ADHD only.

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.

How this classification was reachedexpand

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.126
Threshold uncertainty score0.885

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.031
GPT teacher head0.346
Teacher spread0.315 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations27
Published2005
Admission routes2
Has abstractyes

Explore more

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