Alexithymia in Somatoform Disorder and Somatic Disease; A Comparative Study
Bibliographic record
Abstract
BACKGROUND: The clinical validity of the newly developed 20-item Toronto Alexithymia Scale (TAS-20) with regard to the concept of somatization remains to be further established. This study attempts to determine the relationship between alexithymia and measures of psychopathology and illness severity in patients with somatoform disorders as compared to patients with chronic medical illness. METHODS: Forty inpatients with a DSM-III-R somatoform disorder and 29 inpatients with a chronic medical illness completed the German version of the TAS-20, SCL-90-R, Whiteley Index, and a global rating of the severity of current psychosocial impairment. RESULTS: Patients with a somatoform disorder scored significantly higher on the TAS-20 than the medically ill. As a result of stepwise multiple regression analysis, the SCL-90-R somatization scale emerged as a significant predictor of alexithymia in the somatizing patients, while the SCL-90-R depression scale and the severity of psychosocial impairment significantly predicted alexithymia in the medically ill. CONCLUSIONS: The results underline the clinical validity of the TAS-20 (German version) as well as the alexithymia construct.
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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 | 0.001 | 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 | 0.001 | 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".