Study of Alexithymia and Stigma in Patients with Inflammatory Bowel Disease
Bibliographic record
Abstract
Objective: To investigate the current status and correlation between alexithymia and stigma in patients with inflammatory bowel disease (IBD). Methods: A total of 84 patients with inflammatory bowel disease (IBD) attending the gastroenterology department of a tertiary care hospital in Wuhan, Hubei Province, China, from December 2022 to May 2023 were selected method as the study population by handy sampling. The General Information Questionnaire, Toronto Alexithymia Scale, and Social Impact Scale were used for conducting questionnaires on them. Results: The total score of alexithymia in patients with inflammatory bowel disease was (60.67±8.19). The results of the correlation analysis showed that there was a significant positive correlation between the alexithymia and the stigma of patients with IBD, with correlation coefficients of (r=0.37, P<0.01). The results of regression analysis showed that stigma was an influential factor in alexithymia. Conclusion: Patients with inflammatory bowel disease have alexithymia and stigma, and alexithymia is significantly positively correlated with stigma, and stigma affects alexithymia.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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) | 0.000 | 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 teacher head, 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".