The INSPIRE study: Do personality traits predict general quality of life (Short form-36) in distressed patients with ulcerative colitis and Crohn's disease?
Bibliographic record
Abstract
OBJECTIVE: To assess the role of personality as a predictor of Short form-36 (SF-36) in distressed patients (perceived stress questionnaire, PSQ) with ulcerative colitis (UC) and Crohn's disease (CD). MATERIAL AND METHODS: Fifty-four patients with CD and 55 with UC (age 18-60 years) who had relapsed in the previous 18 months, i.e. with an activity index (AI) for UC or CD> or =4, PSQ> or =60, and without severe mental or other major medical conditions, completed the Buss-Perry Aggression Questionnaire (BPA), the Neuroticism and Lie scales of the Eysenck Personality Questionnaire (EPQ-N and -L), the Multidimensional Health Locus of Control Scale (LOC) (Internal (I), Powerful Other (PO), Chance (C)), the Toronto Alexithymia Scale (TAS) and the SF-36. RESULTS: Multiple linear regression analyses controlling for gender, age and clinical disease activity (AI) in separate analyses for UC and CD showed that the mental and vitality subscales were predicted by neuroticism in both UC and CD. The highest explained variance was 43.8% on the "mental" subscale in UC. The social function subscale was related to alexithymia only in UC, while the role limitation and pain subscales were related to personality in CD only. The physical function subscale related differently to personality in UC and CD. CONCLUSIONS: While mental and vitality subscales were predicted by neuroticism in both UC and CD, other subscales had different relationships to personality, suggesting different psychobiological interactions in UC and CD.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 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".