Incidence of Anxiety in Patients with Multiple Sclerosis (MS)
Bibliographic record
Abstract
Objective: To investigate the (1) incidence of anxiety and (2) association of anxiety with disease duration, depression, and age in an outpatient Multiple Sclerosis (MS) Center. Background: The incidence of anxiety varies in the literature but is estimated to affect 44.5% of people with MS. Anxiety can be a predictor of poor Quality of Life, especially relevant in progressive illnesses, such as MS. Though research has shown that patients newly diagnosed experience higher anxiety levels, the relationship between anxiety and disease duration is unclear. Since anxiety can be comorbid with depression in MS populations, it is relevant to establish its association in this setting. Finally, though anxiety usually increases in older age, research for this relationship in MS populations is inconclusive. Design/Methods: The commonly used Hospital Anxiety and Depression Scale, was distributed once to patients with MS over a 3 month period to assess anxiety and depression scores. MS disease duration and age were confirmed by neurologists. Results: Out of 160 patients with MS who completed the HADS, 19% reported abnormal anxiety, 14% reported borderline cases of anxiety, and 67% did not report anxiety. After following up on significant correlations, depression and younger age were related to higher anxiety levels, (R2=.35, F(4,144)=19.26, p<0.001). The standardized partial regression coefficients indicated 2 statistically significant predictors, depression (β=.55, p=<.001) and age (β=-.25, p=<.001). Discussion: 33% of patients reported symptoms of anxiety, emphasizing the need to focus on treating anxiety, specifically, early in their disease course. Clinicians may also want to recognize that elevated depression scores predicted anxiety. Lastly, in our cohort, the younger population reported higher anxiety, demonstrating that progressive illnesses may affect anxiety levels in younger populations more. Since approximately one third of patients with MS expressed anxiety symptoms, it is important to incorporate this into treatment plans.
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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 | 0.003 |
| 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) | 0.001 | 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".