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Record W1964383799 · doi:10.1097/nmd.0b013e31822fcbfb

Alexithymia and Its Relationship to Dissociation in Patients With Panic Disorder

2011· article· en· W1964383799 on OpenAlexaboutno aff
Karl-Ludwig Majohr, Katrin Leenen, Hans J. Grabe, Josef Jenewein, David García Núñez, Michael Rufer

Bibliographic record

VenueThe Journal of Nervous and Mental Disease · 2011
Typearticle
Languageen
FieldMedicine
TopicPsychosomatic Disorders and Their Treatments
Canadian institutionsnot available
Fundersnot available
KeywordsAlexithymiaDepersonalizationDerealizationPsychologyToronto Alexithymia ScaleDissociative Experiences ScalePanic disorderFeelingDissociation (chemistry)Clinical psychologyArousalPanicAnxietyPsychiatryCognitionSocial psychology

Abstract

fetched live from OpenAlex

Conditions that impede the regulation of emotional arousal, such as alexithymia and dissociation, may underlie panic attacks. This study aimed to evaluate the relationship between alexithymia and dissociation in patients with panic disorder (PD). We assessed 95 PD outpatients with regard to alexithymia (20-item Toronto Alexithymia Scale), dissociation (Dissociation Experience Scale), and overall psychological distress (Symptom Checklist 90-Revised, Global Severity Index). Regression analyses revealed a positive correlation between alexithymia and dissociation, even when the Global Severity Index was controlled for. A specific link was observed between "difficulty in identifying feelings" and "depersonalization/derealization." Patients who showed the pathological form of dissociation had higher levels of alexithymia, with particular regard to "difficulty in identifying feelings" and, to a smaller extent, "difficulty in describing feelings." These results support a strong relationship between alexithymia and dissociation in patients with PD. Assessing alexithymia and dissociation at the outset of therapy may be helpful for individualized therapy planning.

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 score0.002
Threshold uncertainty score0.150

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 head0.015
GPT teacher head0.240
Teacher spread0.225 · 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

Citations44
Published2011
Admission routes1
Has abstractyes

Explore more

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