Multiple sclerosis and alcohol: a study of problem drinking
Bibliographic record
Abstract
Multiple sclerosis (MS) patients are known to be at increased risk from mood disorders and suicidal ideation. Although these are often associated with alcohol disorders, the drinking habits of MS patients have not been well studied to date. Our study assessed drinking patterns in 140 MS patients, focusing on a possible link between problem drinking and mood and anxiety disorders. Lifetime psychiatric diagnoses were ascertained using the Structured Clinical Interview for DSM-IV disorders (SCID-IV). Results demonstrate that one in six MS patients drink to excess over the course of their lifetime. Those with a history of problem drinking display a higher lifetime prevalence of anxiety (P = 0.006), but not mood disorders. There were also significant associations between problem drinking and a lifetime prevalence of suicidal ideation (P = 0.006), substance abuse (P = 0.001), and a family history of mental illness (P = 0.008). Clinicians should be aware of the possibility of problem drinking in MS patients, and how this may complicate the course of their disease. Clues to problem drinking in MS patients are the presence of a positive family history of mental illness and prominent 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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 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".