MétaCan
Menu
Back to cohort
Record W2131555515 · doi:10.1177/1087054706295609

ODD, ADHD, Versus ODD+ADHD in Clinic and Community Adults

2007· article· en· W2131555515 on OpenAlexaff
Kenneth D. Gadow, Joyce Sprafkin, Jayne Schneider, Edith E. Nolan, Joseph E. Schwartz, Margaret D. Weiss

Bibliographic record

VenueJournal of Attention Disorders · 2007
Typearticle
Languageen
FieldMedicine
TopicAttention Deficit Hyperactivity Disorder
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsPsychologyRating scaleClinical psychologyAttention deficit hyperactivity disorderPsychiatryStatisticMental healthDevelopmental psychology

Abstract

fetched live from OpenAlex

OBJECTIVE: To seek evidence for the validity of oppositional defiant disorder (ODD) as a behavioral syndrome in adults. METHOD: Two samples of adults, mental health outpatient clinic referrals (N = 490) and community controls (N = 900), completed a Diagnostic and Statistic Manual of Mental Disorders-referenced rating scale and a brief questionnaire (social, educational, occupational, and treatment variables). Participants were separated into four groups: ODD-only, ADHD-only, ODD+ADHD, and NONE. RESULTS: In general, the three symptom groups were more severe than the NONE group; the ODD+ADHD and NONE groups were the most and least severe, respectively; and there were clear differences between the ODD-only and ADHD-only groups. The pattern of group differences was generally similar in both samples. CONCLUSION: Findings support the distinction between ADHD and ODD symptom presentations in adults, and the notion that the comorbid condition is a unique clinical entity, both of which are consistent with the child literature. Nevertheless, additional research with larger samples of patients will be necessary to establish ODD as a potential behavioral syndrome in adults.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.008
Threshold uncertainty score0.015

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.378
Teacher spread0.313 · 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 source (direct Gemma or distilled Codex), 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

Citations33
Published2007
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Attention DisordersSame topicAttention Deficit Hyperactivity DisorderFrench-language works237,207