P194 Alexithymia traits are associated with symptom severity and disease activity in IBD patients
Bibliographic record
Abstract
Abstract Background Alexithymic traits are quite prevalent in patients with inflammatory bowel diseases (IBD) and have been linked with a heightened psychological burden including anxiety, depression, somatization and obsessive-compulsive symptoms. However, there are limited data regarding the association of alexithymia with gastrointestinal symptom severity and disease activity. Methods The current study was conducted at the Division of Gastroenterology of the University Hospital of Patras, in Greece with the collaboration of the Department of Psychiatry. Adult IBD outpatients and healthy controls were enrolled to the study. Alexithymic traits were assessed with the Toronto Alexithymia Scale (TAS-20). Disease activity was assessed with the calculation of the Truelove-Witts Index for ulcerative colitis (UC) patients and the Harvey-Bradsaw Index for Crohn’s disease (CD) patients. Results 57 IBD patients and 50 healthy controls entered the study. 26 (45.6%) IBD patients reported clinically significant alexithymia traits. In addition, IBD patients faced increased difficulties in emotional expression (p=0.024) and reported increased overall alexithymic traits (p=0.033) compared to healthy controls. Moreover, we detected a borderline tendency of IBD patients to exhibit more disturbances in emotional recognition (p=0.067) compared to the control group. Difficulties in emotional recognition were significantly correlated with the presence of nausea (p=0.031), belly pain (p=0.015) and bloating (p=0.018), while overall alexithymic traits were strongly associated with the presence of nausea (p=0.008). Finally, increased disease activity was significantly associated with a higher total alexithymia score in Crohn’s disease (p=0.037) and ulcerative colitis (p=0.047) patients. Conclusion IBD patients report increased alexithymic traits which are associated with more severe gastrointestinal symptomatology and increased disease activity.
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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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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".