Psychological symptoms and alexithymia in adolescents with inflammatory bowel diseases: a case-control study
Bibliographic record
Abstract
INTRODUCTION: Little is known about thepsychological correlates of inflammatory bowel diseases (IBDs) in the pediatric population. We, therefore, conducted a case-control study systematically exploring psychopathological profiles and alexithymia in adolescents with IBDs. METHODS: We recruited 52 patients with IBDs (of whom 43 in clinical remission) and 52 age- and gender-matched healthy controls. All participants completed a validated psychometric battery assessing psychological symptoms Symptom Checklist-90-Revised and alexithymia Toronto Alexithymia Scale-20. RESULTS: Adolescents with IBDs reported significantly higher scores across all psychopathological domains compared to controls, with more pronounced differences in depression and obsessive-compulsive symptoms (both P < 0.001). However, there were no significant differences in alexithymia scores between the two groups. CONCLUSION: These findings underscore the psychological distress experienced by adolescents with IBDs, emphasizing the importance of early identification and intervention to prevent the development of fully fledged psychiatric disorders. Further research is needed to better characterize the psychopathological profiles of different clinical phenotypes of IBDs and to explore possible correlations with the clinical course of these chronic conditions.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".