Alexithymia and Its Relationship to Dissociation in Patients With Panic Disorder
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".