Differences Across Illness Perceptions in Inflammatory Bowel Disease and Their Relationships to Psychological Distress and Quality of Life
Bibliographic record
Abstract
Patients with greater inflammatory bowel disease activity readily identify poorer psychosocial outcomes; however, the role of gender, disease type, and individual illness perceptions facets are less well known. This study aimed to characterize the role of illness perceptions, gender, and disease type on anxiety, depression, and quality of life. Eighty-one patients diagnosed with inflammatory bowel disease (39 men, mean age 35 years) attending a tertiary hospital outpatient clinic were studied. Questionnaires used included the Manitoba Index, the Brief Illness Perceptions Questionnaire, Hospital Anxiety and Depression Scale, and the World Health Organization Brief Quality of Life Scale. Female patients with active disease tended to report increased anxiety, depression, and reduced quality of life. Regarding illness perceptions, patients with Crohn disease reported significantly more concerns about its chronicity, while female patients reported being significantly more concerned about the impact of their illness on identity, chronicity, overall concern, and having a greater emotional impact. Hierarchical regression indicated that 36% of depression, 42% of anxiety, and 57% of quality of life could be accounted for by disease activity and type, gender, and illness perceptions. The findings suggest that in addition to a patient's perceived disease status, gastroenterology nurses should also be aware that patient gender and their perceptions of illness play a significant impact not only on anxiety and depression but also on quality of life. Increased disease activity is associated with more severe anxiety and depression and reduced quality of life. Female patients are also at a greater risk of reporting negative illness perceptions and increased levels of anxiety, depression, and lower 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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.001 | 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".