Alexithymia partly predicts pain, poor health and social difficulties in patients with temporomandibular disorders
Bibliographic record
Abstract
Temporomandibular disorders (TMD) are functional diseases of the masticatory system; their symptoms are clicking, difficulty opening the mouth wide, ear pain, facial pain and headaches. The relationships among distress, emotional factors and TMD are well known. It was shown that patients with TMD have little awareness of their inner states and emotions, and it was found that those reporting oro-facial pain presented higher alexithymia than did asymptomatic people. Other authors confirmed that alexithymia was higher in the painful TMD group than controls. This study was aimed to evaluate whether alexithymia and its components can be considered as predisposing factors for pain severity, poor health and greater social difficulties in patients with TMD. One hundred thirty-three patients received a diagnosis of TMD and completed the 20-item Toronto Alexithymia Scale. Multiple stepwise regressions showed that alexithymia and age explained 10% of the pain and 31% of poor health and also that alexithymia explained 7% of social difficulty. A direct comparison of patients with TMD based on alexithymia revealed a higher presence of pain in alexithymic patients with TMD than in those characterised by moderate or no alexithymia. In conclusion, alexithymia partly predicts pain, poor health and social difficulties in patients with TMD. Furthermore, alexithymic patients have more pain than those with moderate or low alexithymia.
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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 | 0.002 | 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 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".