Alexithymic features and emotional distress in patients with chronic tension-type headache (CTTH) and medication-overuse headache (MOH)
Bibliographic record
Abstract
AIMS: The study examined the role of alexythimia and emotional distress in patients with diagnosis of chronic headaches (tension-type and medication overuse headache). MATERIALS AND METHODS: The Toronto Alexithymia Scale (TAS-20)and the Rapid Stress Assessment (RSA) were administered to a sample of 104 patients (day hospital and outpatients) composed by 70 with CTTH and 34 with MOH. RESULTS: In total sample, 16.3% of patients were classified as alexithymics, 20.2% as intermediates and 63.5% as non-alexithymics, according to the TAS-20 criteria. Anxiety and Lack of social support (RSA) showed the higher values, yet the RSA mean profile didn't exceed the normative range. Alexithymics scored higher on all the RSA scales; significant positive correlations were also obtained among RSA and TAS-20 values. MOH patients were more frequently classifi ed as alexithymics and reported higher values on Aggressiveness scale (RSA) compared to CCTH patients. CONCLUSIONS: Findings supported a link between alexithymia and emotional distress, as an index of psychological maladjustment in chronic headache patients.
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How this classification was reachedexpand
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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".