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Record W2026822093 · doi:10.1002/cpp.694

Group cognitive behaviour therapy for adults with Asperger syndrome and anxiety or mood disorder: a case series

2010· review· en· W2026822093 on OpenAlexaff
Jonathan A. Weiss, Yona Lunsky

Bibliographic record

VenueClinical Psychology & Psychotherapy · 2010
Typereview
Languageen
FieldNeuroscience
TopicAutism Spectrum Disorder Research
Canadian institutionsCentre for Addiction and Mental HealthYork University
Fundersnot available
KeywordsPsychologyAsperger syndromeMoodAnxietyClinical psychologyCognitionGroup psychotherapyPsychotherapistDevelopmental psychologyPsychiatryAutism

Abstract

fetched live from OpenAlex

Abstract Individuals with Asperger syndrome are at increased risk for mental health problems compared with the general population, especially with regard to mood and anxiety disorders. Generic mental health services are often ill‐equipped to offer psychotherapeutic treatments to this population, and specialized supports are difficult to find. This case series used a manualized cognitive behaviour therapy group programme (Mind Over Mood) with three adults diagnosed with Asperger syndrome, who were each unable to access psychotherapy through mainstream mental health services. This review highlights the benefits of a cognitive behaviour therapy (CBT) group approach for adults with Asperger syndrome and suggests some potential modifications to traditional CBT provision. Copyright © 2010 John Wiley & Sons, Ltd. Key Practitioner Message: • As a group, adults with Asperger syndrome are at high risk for anxiety disorders and depression. • Cognitive behaviour therapy can be adapted to help adults with Asperger syndrome cope with anxiety or depression. • Group cognitive behaviour therapy for adults with Asperger syndrome may hold a number of advantages to individual therapy.

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 categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity
Consensus categoriesMeta-epidemiology (narrow), Research integrity
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.981
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0000.001
Science and technology studies0.0010.003
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0010.000

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 head0.142
GPT teacher head0.489
Teacher spread0.348 · 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; both teacher heads agree on what is shown here.

Study designOther design
Domainnot available
GenreReview

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

Citations67
Published2010
Admission routes1
Has abstractyes

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