The role of alexithymia in non-psychotic mental disorders’ development in patients with primary hypothyroidism
Bibliographic record
Abstract
In the formation of non-psychotic psychiatric disorders in patients with thyroid pathologies are important neurohumoral mechanisms, and one reason is psychosomatic relationships. The modern concept of relationships includes alexithymia model. The situation of chronic physical illness is regarded by many authors as one that provokes a crisis of mental development (and in fact, identity crisis) and therefore is a traumatic situation, that is a risk factor for the development of mental disorder. The aim of the study was to investigate the alexithymia level in patients with primary hypothyroidism. We used Toronto Alexithymia scale proposed by Taylor G. 50 patients with hypofunction of the thyroid gland were investigated. In a study of 42 patients (84%) had a rate alexithymia more than 74 points, 12% of patients were classified as areas of uncertainty and only 4% of patients according to the method proved non-alexithymic. It was found that patients with an uncertain alexithymia level had difficulties in describing their inner feelings, did not give much attention to the absence of well-being in the emotional sphere, believed that painful symptoms of mental health problems are caused by only thyroid pathologies, even during sighting surveys ignored the presence of emotional stress and conflict experiences that showed a reduced capacity for understanding and expressing their own feelings, low emotional resonance. Thus, psychotherapeutic and psycho-corrective work with such patients should take into consideration alexithymia radical in the personal structure of such patients. Disclosure of interest The authors have not supplied their declaration of competing interest.
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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 | 0.001 | 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".