Burden of Mental Health among Patients with Inflammatory Bowel Disease—A Cross-Sectional Study from a Tertiary IBD Center in Hungary
Bibliographic record
Abstract
Background: Inflammatory bowel diseases (IBDs) are chronic conditions that negatively affect the patient’s quality of life. With the spread of the biopsychosocial model, the role of mental health in the activity and course of inflammatory bowel disease is becoming more and more recognized. Our study aimed to assess the prevalence of anxiety and depression in IBD patients in our tertiary referral center and determine the predictive factors of these mental conditions. Methods: A total of 117 patients were included consecutively between 1 December 2021 and 28 February 2022. We used a questionnaire to gather demographic information, disease course, and IBD-specific symptoms. We assessed anxiety symptoms using the GAD-7 and depressive complaints using the PHQ-9 questionnaire. We evaluated disease activity using CDAI and pMayo scores. Results: Of the 117 patients (male/female: 63/54), 88 suffered from Crohn’s disease, and 29 were diagnosed with ulcerative colitis. Only 6 patients were taking medication for mood disorders, and 38 individuals sought mental support during their lifetime. A total of 15% of the population suffered from moderate–severe anxiety disorder, and 22% were affected by moderate–severe depression. The GAD-7 and PHQ9 values showed a significant correlation between the number of stools, bloody stools, abdominal pain, number of flare-ups, and CDAI scores. Conclusions: Our study confirmed that there is a high incidence of anxiety and depressive symptoms among IBD patients. Our results highlighted the symptoms that could be associated with mental disorders. It is important to assess the mental status of IBD patients to improve their quality of life.
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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 | 0.001 |
| 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 | 0.000 |
| 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".