Depression, anxiety and multiple sclerosis: Links with alexithymia
Bibliographic record
Abstract
The aim of our study was to assess the prevalence of depression and anxiety in a population of patients treated for multiple sclerosis (MS) and their link with alexithymia. Method 31 patients with MS according to McDonald's criteria, and followed in neurology department took part in the study. All patients were evaluated using a protocol to collect the epidemiological, clinical and evolution of the disease. We used versions of Arabized-Hospital Anxiety and Depression Scale (HADS) to assess the mood state and the Toronto Alexithymia Scale (TAS-20) for alexithymia. Results and comments Participants were divided on 18 women and 13 men with a mean age of 39 years. The prevalence of depression and anxiety were 42% and 52% respectively. The prevalence of alexithymia was 43%. The anxiety was correlated with the degree of disability and age of disease onset. Similarly, depression was more frequently observed in patients with higher EDSS, a long period of evolution. A positive correlation was found between alexithymia, depression and anxiety. Our study showed that half of all MS patients have mood disorders. However, depression is the most common and most disabling psychiatric disorder in MS. The place of anxiety should not be neglected because in case of comorbidity with depression, can be an aggravating factor. The frequency of alexitymia is high and appears to be positively correlated with depression and anxiety.
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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 | 0.000 | 0.000 |
| 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 | 0.000 |
| 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".