Alexithymia as a Predictor of Chronic Tension Headaches
Bibliographic record
Abstract
© 2016, Springer Science+Business Media New York.Alexithymia as a violation of inter-hemispheric communication which has no visible organic brain changes is now regarded as a predictor of many chronic physical and neurological diseases, but it has not yet been regarded in connection with chronic tension headaches. The authors examined 137 people with tension-type headache (33 men, 84 women) aged 30–50 years (average age 40,75 ± 6,29) in order to clarify a link to alexithymia. The diagnosis of tension headache was conducted according to the International classification of headaches, 3rd edition (beta version). The authors used the original headache diary, Toronto alexithymia scale, Hospital anxiety and depression scale, the measurement of the space under the curve of headache. It was found that the patients with alexithymia have difficulty in describing the place of headaches (the average number of word descriptors at most 1 word), distrust of doctors, abuse of analgesics and tend to use alternative medicine methods. The intensity (p = 0.0001) and the frequency of headaches (p = 0.0028) is significantly higher in patients with alexithymia, and the more common are depression (p = 0.042) and impaired nocturnal sleep (p = 0.001). Patients with chronic tension-type headache associated with sleep disorders, adaptation and symptoms of depression should be considered as alexithymic personalities until the contrary is proved. Physicians should be aware of the fact that alexithymic patients have problems with feelings verbalization, and if patient’s complaints are vague a doctor should use questionnaires, words-descriptors, phrases-descriptors and other auxiliary verbal techniques for accurate diagnosis.
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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 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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".