[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 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 | 0.000 | 0.000 |
| 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) | 0.002 | 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".