P-079 YI The Association Between Anxiety and Depression and Health Related Quality of Life in Patients with Inflammatory Bowel Disease (IBD)
Bibliographic record
Abstract
Inflammatory Bowel Diseases (IBD), including Crohn's disease (CD) and Ulcerative Colitis (UC) are chronic disorders of the gastrointestinal tract, which can cause major life challenges. Their lifelong progression is associated with substantial psychological burden, which increases the risk of mental health disorder. Symptoms of anxiety and depression have been reported in patients with IBD independent of disease activity. IBD outcomes have further been reported to affect the health related quality of life in the individuals suffering from this chronic disorder. Our study examines the association between depression and anxiety and health related quality of life in IBD patients. A prospective cohort study was conducted over a 6-month period. Standardised questionnaires were collected at baseline and at 6 months using LimeSurvey and included the Hospital Anxiety and Depression Scale (HADS). Health related quality of life was captured using Short IBD questionnaire (SIBDQ). The relationship between depression and anxiety score, and health related quality of life was assessed using the Spearman’s rho correlation coefficient. Sixty respondents with age range 18 to 76 were included. The majority (65%) were between ages 18 to 40; 61% were female, and 85% had CD. The mean (SD) HADS anxiety score at baseline and 6 months were 8.4 (3.3) and 7.4 (4.5); depression scores were 3.7 (3.0) and 4.3 (4.0), respectively. The SIBDQ total score at the baseline was significantly correlated with HADS anxiety (r = 0.51, P < 0.0001) and HADS depression scores (r = 0.64, P < 0.0001). Furthermore, the SIBDQ total score at the 6-month visit was also significantly correlated with the HADS anxiety (r = 0.63, P < 0.0001) and HADS depression scores (r = 0.67, P < 0.0001). The data shows a significant correlation between SIBDQ total score, and HADS anxiety and depression score. Clinical anxiety and depression could be a result of IBD and various life challenges, which occur during young adult lives as majority of our patients, were under the age of 40. During this time major life events such as university education, graduation, finding a job, marriage, having children, and stabilizing self for a lifetime occurs. This can lead to anxiety and depression symptoms especially in context of dealing with chronic life long illness.
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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 | 0.000 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".