A172 THE ASSOCIATION OF EFFICACY, OPTIMISM, UNCERTAINTY AND HEALTH ANXIETY IN INFLAMMATORY BOWEL DISEASE ACTIVITY OVER TIME
Bibliographic record
Abstract
Abstract Aims We aimed to assess if the presence of positive or negative psychological attributes are associated with disease activity in a prospective inflammatory bowel disease (IBD) cohort using validated psychological assessment tools and various measures of disease activity. Methods The study included 146 adults with confirmed and recently active IBD enrolled in a prospective longitudinal cohort study. Demographics, disease information, validated measures of psychological functioning related to self-efficacy, optimism, health anxiety and intolerance of uncertainty were collected at baseline, week 26 and week 52. Disease activity indicators included fecal calprotection (FCAL), the Inflammatory Bowel Disease Symptom Inventory (IBDSI), and self-reported flares and were collected at study baseline, week 26 and week 52. Logistic regression was used to identify the relationship between psychological functioning and disease activity. Results Participants’ mean age was 42.9 years (SD 12.6; range 18–70), with 70.5% women. Almost two thirds (65.1%) had a diagnosis of Crohn’s disease (CD), 34.2% had ulcerative colitis (UC), and 0.7% (n=1) was IBD unclassified. 22% had income <$50,000 and 63% were in a current relationship. Patient-reported active disease (i.e., IBDSI; flare self-report) was significantly less likely with higher self-efficacy [OR= 0.87, 95% CI 0.82–0.93 (IBDSI); OR= 0.86, 95% CI 0.81–0.91 (self-report)] and significantly more likely with higher health anxiety (OR=1.09, 95% CI 1.04–1.15) with the association remaining for self-reported flares after adjusting for demographic variables. The psychological attributes were not associated with active disease based on FCAL levels. Conclusions Higher health anxiety increases the likelihood of experiencing an IBD flare, while higher general self-efficacy may be protective of a disease flare. Funding Agencies None
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| 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) | 0.003 | 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".