Alexithymia, Ego-Dystonicity, and Obsessive-Compulsive Symptoms: A Path Modeling Analysis
Why this work is in the frame
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Bibliographic record
Abstract
AIMS: This cross-sectional study aimed to test the path relations between alexithymia, ego-dystonicity, anxiety, depression and obsessive-compulsive (OC) symptoms in obsessive-compulsive disorder (OCD) and healthy individuals. METHODS: Fifty-eight patients with OCD (mean age 35.5 years) and 54 healthy participants (mean age 33.5 years) completed an assessment via a structured clinical interview. All of them completed the Toronto Alexithymia Scale (TAS-20), the Vancouver Obsessive-Compulsive Inventory (VOCI), the Self-Consistency and Congruence Scale (SCCS), the Self-Rating Anxiety Scale (SAS) and the Self-Rating Depression Scale (SDS). The data were analyzed using partial least squares structural equation modeling (PLS-SEM). RESULTS: In the OCD patients, alexithymia (a linear combination of difficulty identifying and describing emotions in the self) was associated with the OC symptoms either with or without the presence of ego-dystonicity (a profile of self-inconsistency and self-stereotype). In the heathy participants, alexithymia was associated with the OC symptoms only through ego-dystonic experiences. CONCLUSION: This study provides evidence that ego-dystonicity partially affects the association between alexithymia and obsessive-compulsions. Alexithymia and ego-dystonicity have a synergistic effect on the symptoms of OCD. Alexithymia in healthy participants associates to the OC symptoms only through ego-dystonicity. Targeting ego-dystonicity dimensions in psychotherapy would help improve the symptoms of OCD.
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Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it