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Record W2270884438

Dimensions of Perfectionism in Children and Adolescents with Obsessive-compulsive Disorder.

2014· article· en· W2270884438 on OpenAlexaff
Noam Soreni, David L. Streiner, Randi E. McCabe, Carrie Bullard, Richard P. Swinson, Alessia Greco, Paulo Pires, Péter Szatmári

Bibliographic record

VenuePubMed · 2014
Typearticle
Languageen
FieldPsychology
TopicPerfectionism, Procrastination, Anxiety Studies
Canadian institutionsMcMaster UniversitySt. Joseph’s Healthcare Hamilton
Fundersnot available
KeywordsPerfectionism (psychology)Depressive symptomsPsychologyClinical psychologyAssociation (psychology)Obsessive compulsiveMultilevel modelPsychiatryAnxietyPsychotherapist
DOInot available

Abstract

fetched live from OpenAlex

OBJECTIVE: To measure the association of perfectionism with obsessive-compulsive and depressive symptoms in children and adolescents with obsessive-compulsive disorder (OCD). METHOD: Sample consisted of 94 youth (44 boys, 49 girls; mean age = 13.2 y, SD = 2.5 y) with a DSM-IV diagnosis of OCD. Perfectionism beliefs were measured with both the Adaptive/Maladaptive Perfectionism Scale (AMPS) and a 14-item version of the Child and Adolescents Perfectionism Scale (CAPS-14). Using a hierarchical linear-regression model, we measured the association of perfectionist beliefs with severity of OCD and depressive symptoms. RESULTS: Both AMPS and CAPS-14 scores were associated with the severity of OCD symptoms in our sample. In addition, CAPS-14 scores were associated with the severity of depressive symptoms, even when OCD symptoms were taken into account. CONCLUSIONS: Our findings lend further support to the hypothesis that perfectionism in youth with OCD is associated with variation in the severity of OCD and depressive symptoms.

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)0.000
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 score0.036
Threshold uncertainty score0.413

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.007
GPT teacher head0.224
Teacher spread0.217 · 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

Citations36
Published2014
Admission routes1
Has abstractyes

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