The Mediating Role of Dissociation in the Relationship Between Alexithymia and Symptom Severity in Patients with Post-traumatic Stress Disorder
Bibliographic record
Abstract
Background: This study aimed to reveal the complex relationship between symptom severity, dissociation, and alexithymia in patients with post-traumatic stress disorder (PTSD). It also focuses on whether dissociative symptoms mediate the link between alexithymia and PTSD symptom severity. Methods: The study included 85 patients who were referred to a psychiatric clinic and diagnosed with PTSD according to the Diagnostic and Statistical Manual of Mental Disorders-5 diagnostic criteria. Participants were assessed using the sociodemographic data form, the Event Impact Scale-Revised (IES-R), the Dissociative Experiences Scale (DES), and the Toronto Alexithymia Scale (TAS-20). Results: The mean age of 85 PTSD patients included in the study was 31.90 years and 69.4% (n=59) were female. According to the TAS-20 scale of the participants; 62.4% (n=53) were alexithymic and 37.6% (n=32) were non-alexithymic. The two groups had no statistically significant difference in sociodemographic variables (p>0.05). A statistically significant difference was found between the two groups in DES (p=0.004) and TAS (p<0.001). A positive statistically significant correlation was found between DES and TAS (r=0.341), IES-R Hyperarousal (r=0.492), and IES-R Total (r=0.344) scores. The mediating function of DES in the interaction between TAS-20 and IES-R was assessed. DES is the mediator variable for the effect of TAS-20 on IES-R (β= 0.15,1 z=2.372, p=0.018). Conclusion: The study underscores the importance of dissociation as a mediating factor between alexithymia and PTSD. Addressing dissociative symptoms in therapeutic interventions may improve treatment outcomes for PTSD patients, particularly those exhibiting alexithymic traits. Future research should explore longitudinal relationships and broader samples to validate these findings. Keywords: Alexithymia, Dissociation, Mediation, Post-Traumatic Stress Disorder, Trauma.
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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 | 0.000 | 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".