[The impact of stress and coping strategies on health-related quality of life in ulcerative colitis].
Bibliographic record
Abstract
OBJECTIVE: To further understand factors that influence health-related quality of life (HRQOL) in patients with ulcerative colitis (UC), especially the role of perceived stress and coping modes in Chinese patients with UC. METHODS: This study was a cross-sectional study. Patients with UC were recruited from July 2013 to September 2014 in Peking Union Medical College Hospital. HRQOL was measured using the inflammatory bowel disease questionnaire (IBDQ). Perceived stress was measured by Perceived Stress Scale (PSS). Coping strategy was evaluated using Medical Coping Modes Questionnaire (MCMQ). Demographic data, course of the disease, clinical disease activity, and disease phenotype according to Montreal classification were also collected. Univariate analyses were conducted to determine which variables were associated with HRQOL, and those were statistically significant were entered into a multivariate regression model. RESULTS: We recruited 214 patients (response rate 92.2%), whose median age was 37.5 (29.0, 49.3) years old and median course of UC was 4 (2, 9) years. Through univariate analyses, better HRQOL was significantly associated with regular medical visits, lower number of previous relapses and hospitalizations, no steroid use, Montreal E1, lower Mayo scores, clinical remission, less perceived stress and less acceptance strategy use. However, multivariate analyses revealed that perceived stress (OR=1.112, 95% CI 1.058-1.169), acceptance (OR=0.310, 95% CI 0.141-0.685), number of hospitalizations (OR=2.924, 95% CI 1.328-6.437) and clinical activity (OR=5.058, 95% CI 2.312-11.066) were most strongly related to HRQOL. CONCLUSIONS: HRQOL of UC patients are not only associated with clinical activity of the disease, but also associated with coping strategy and perceived stress. Further research needs to focus on whether or not relieving stress and guiding patients to cope with ulcerative colitis would improve HRQOL.
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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) | 0.000 | 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) | 0.002 | 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".