Social phobia in immune-mediated inflammatory diseases
Bibliographic record
Abstract
OBJECTIVE: Immune-mediated inflammatory diseases (IMID) such as multiple sclerosis (MS), inflammatory bowel disease (IBD) and rheumatoid arthritis (RA) are associated with a high prevalence of psychiatric comorbidity but little is known about the prevalence of social phobia in IMID, or the factors associated with social phobia. We aimed to determine the prevalence of social phobia in MS, IBD and RA, and the factors associated with social phobia in these IMID. METHODS: We obtained data from the enrollment visit of a cohort study in IMID of whom 654 participants were eligible for this analysis (MS: 254, IBD: 247, RA: 153). Each participant underwent a semi-structured psychiatric interview which identified depression and anxiety disorders including social phobia (lifetime and current), an assessment of disease activity, and reported sociodemographic information. RESULTS: Overall, 12.8% of participants had a lifetime diagnosis of social phobia (MS: 10.2%, IBD: 13.0%, RA: 17.0%). Social phobia was associated with younger age (OR 0.98; 0.97-1.00), having a high school education or less (OR 1.78; 1.08-2.91), comorbid major depressive disorder (OR 2.79; 1.63-4.78) and comorbid generalized anxiety disorder (OR 2.56; 1.30-5.05). Persons with RA had increased odds of having social phobia as compared to persons with MS (OR 2.26; 1.14-4.48) but not IBD. CONCLUSION: Persons with IMIDs have a relatively high lifetime prevalence of social phobia, exceeding that reported for the Canadian general population. Strategies aimed at early detection, and effective clinical management of social phobia in IMID are warranted.
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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 | 0.001 | 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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".