Functional gastrointestinal disorders and mood disorders in patients with inactive inflammatory bowel disease: Prevalence and impact on health
Bibliographic record
Abstract
BACKGROUND: Symptoms of functional gastrointestinal disorders (FGID) associated with mood disorders (MD), such as depression and anxiety, occur in some patients with quiescent inflammatory bowel disease (IBD) and could be caused by changes in gut motility, visceral hypersensitivity, or psychological dysfunction. We assessed the prevalence of FGID symptoms and mood disorders in ambulatory patients with quiescent IBD and examined their impact on health-related quality of life (HRQOL) and use of health resources. METHODS: Consecutive ambulatory patients with IBD completed a survey of Rome II criteria for FGID, the Hospital Anxiety and Depression Survey, HRQOL indices, and health resource utilization. Logistic and linear regression analyses tested for predictors of FGID and HRQOL. RESULTS: Of 361 patients surveyed, 149 (44 ulcerative colitis [UC] and 105 Crohn's disease [CD]) had inactive IBD during the previous 12 months. Symptoms of at least 1 FGID occurred in 81.9%. Functional anorectal disorders were the most prevalent (53.7%) followed by functional bowel disorders (51.7%), and both were of greater prevalence than in the Canadian population (41.6% and 22.6%, respectively). Irritable bowel syndrome symptoms were more common in inactive CD than in UC (26% versus 9.1%, P = .01) and functional constipation was more common in inactive UC than in CD (26.2% versus 5.8%, P < .01). MD occurred in 27.3% of UC and 31.3% of CD patients. Age > or =40 years and anxiety independently predicted an FGID. Both FGID symptoms and MD were associated with impaired HRQOL and increased use of health services. CONCLUSIONS: Many patients with inactive IBD have symptoms compatible with FGID. Both FGID-like symptoms and MD are associated with impaired HRQOL and increased health resource utilization. Recognition and treatment of FGID and MD could potentially improve daily functioning of IBD patients.
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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 | 0.002 |
| 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 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".