Prevalence of Alexithymia in Patients with Post-Traumatic Stress Disorder: A Cross-Sectional Study in Mexican Outpatients
Bibliographic record
Abstract
Objective To determine the frequency of alexithymia in patients diagnosed with post-traumatic stress disorder (PTSD) treated at the outpatient service of Fray Bernardino Álvarez Psychiatric Hospital in Mexico City. Methods A cross-sectional observational study was conducted with 101 PTSD patients (91% women, mean age: 29.5 years). The Toronto Alexithymia Scale (TAS-20) and Clinician-Administered PTSD Scale for DSM-5 (CAPS-5) were administered. Statistical analysis included descriptive measures, correlations, and logistic regression. Results Sexual abuse (53.5%) and rape (26.7%) were the most frequent traumas. Ninety percent of participants scored above the TAS-20 cutoff for clinical alexithymia (≥61 points). A moderate positive correlation was found between trauma exposure duration and TAS-20 scores (rs = 0.539, p < 0.001). Logistic regression identified trauma duration as a significant risk factor for alexithymia (OR = 1.75, p = 0.002). Conclusions Alexithymia is highly prevalent in PTSD patients, particularly among those exposed to prolonged trauma. These findings underscore the need for trauma-focused interventions addressing emotional regulation deficits.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.001 | 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".