Post-Traumatic Stress Disorder in Migraine Patients: Migraine, Trauma and Alexithymia.
Bibliographic record
Abstract
INTRODUCTION: In recent studies, it has been suggested that there is a relationship between migraine headaches and post-traumatic stress disorder (PTSD). The PTSD has not been diagnosed by a clinician in these studies; the evaluation has been carried out by the screening scales. Besides, it has also been asserted that there was relationship of alexithymia with migraine and other chronic painful disorders. In this study, our aim was to investigate the prevalence of clinically-diagnosed PTSD and alexithymic features among migraine patients. METHODS: Sixty consecutive migraine patients sent from neurology clinic and 60 healthy controls having similar features constituted the sample of this study. SCID-I/CV PTSD module and the Clinician-Administered PTSD Scale (CAPS) was administered to the sample. The subjects also filled in the socio-demographic data form and the Toronto Alexithymia Scale (TAS). The level of pain perceived by the migraine patients was evaluated using a Visual Analog Scale (VAS). RESULT: 17 subjects (28%) in the migraine group and 5 individuals (8.3%) in the control group were diagnosed with PTSD. Hence, PTSD was found to be statistically significantly higher in the migraine group. 25 persons in the migraine group (41.6%) and 12 in the control group (20%) scored above the TAS cutoff score in terms of alexithymic features. Alexithymia was found to be statistically significantly higher in the migraine group). In the migraine group, VAS scores of the ones with PTSD were statistically significantly higher compared to that in ones without PTSD. 94% of the persons diagnosed with PTSD in the migraine group reported that their migraine headaches started after a traumatic experience. In the migraine group, no statistically significant correlation was detected between CAPS and VAS scores in subjects with PTSD. CONCLUSION: In migraine patients, PTSD and alexithymic features have been found higher than in the healthy controls. Further studies are needed to search whether the practices aimed at treating the PTSD and alexithymic features can contribute to the treatment of migraine headaches or not.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.001 |
| 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) | 0.003 | 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".