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Record W2358374171

Association analysis between illness behavior and alexithymia in patients with panic disorder

2010· article· en· W2358374171 on OpenAlexaboutno aff
Fen Liu

Bibliographic record

VenueJournal of psychiatry · 2010
Typearticle
Languageen
FieldMedicine
TopicPsychosomatic Disorders and Their Treatments
Canadian institutionsnot available
Fundersnot available
KeywordsAlexithymiaPanic disorderPsychologyClinical psychologyToronto Alexithymia ScaleIrritabilityCorrelationPsychiatryAssociation (psychology)MoodAnxietyPsychotherapist
DOInot available

Abstract

fetched live from OpenAlex

Objective To explore the relationship between the illness behavior and alexithymia of patients with panic disorder. Methods Forty-seven patients with panic disorder participated the study. Toronto Alexithymia Scale(TAS) was used to assess mood expression and Illness Behavior Questionnaire(IBQ) to evaluate the illness behavior. Results The subscale scores of general hypochondriasis,affective inhibition,affection state in IBQ were significantly positively correlated with subscales scores of I and Ⅱ in TAS,but negatively with subscale score of Ⅲ. The subscale score of affective disturbance was significantly positively correlated with subscale I score,but negatively with subscale Ⅲ score. The subscale score of irritability was significantly positively correlated with subscal I score. The subscale score of disease conviction was significantly positively correlated with the subscale scores of I and Ⅱ. The subscales scores of disease affirmation and whitely index of hypochondriasis were significantly positively correlated with the subscale I score. The subscale score of denial was significantly negatively correlated with the subscale scores of I and Ⅱ. There were no significant correlation between the subscale score of psychological versus somatic perception of IBQ and all subscale scores and total score of TAS. Conclusion The illness behavior in patients with panic disorder is associated with deficiency in the ability of describing emotion ,recognizing and making distinguish between emotion and body feeling.

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 score0.005
Threshold uncertainty score0.302

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 head0.004
GPT teacher head0.245
Teacher spread0.241 · 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

Citations0
Published2010
Admission routes1
Has abstractyes

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