Evidence of Bidirectional Associations Between Perceived Stress and Symptom Activity
Bibliographic record
Abstract
BACKGROUND: Our aim was to explore the relationships among perceived stress, intestinal inflammation, and inflammatory bowel disease (IBD) symptoms over time. METHODS: Participants were recruited from a population-based registry of persons with IBD and assessed at months 0, 3, and 6. Key dependent measures were the Manitoba IBD Index (symptom activity), Cohen's Perceived Stress Scale, and fecal calprotectin in stool (intestinal inflammation). RESULTS: Complete data were available for 417 participants at months 0; 369 provided follow-up data. Active symptoms were reported by 54% of those with Crohn's disease (CD) and 40% of those with ulcerative colitis (UC) and approximately one-third consistently had fecal calprotectin measures ≥250 μg/g, suggestive of active inflammation. A significant proportion of participants had indications of inflammation but no active symptoms over the 6 months. Correlations of month 0 perceived stress and disease activity measures with values at months 3 and 6 for both CD and UC indicated strong temporal stability. In hierarchical multiple regression analyses, month 0 symptom activity was thus a strong predictor of later symptom activity for CD and UC. Perceived stress predicted change in symptom activity from 0 to 3 months for CD, as did use of prednisone for UC. Comparably, month 0 perceived stress was a strong predictor of later perceived stress for CD and UC, while month 0 symptom activity predicted change in perceived stress from 0 to 3 months for both CD and UC. CONCLUSIONS: The analysis revealed prospective bidirectional relationships between perceived stress and IBD symptoms but no relationship between perceived stress and change in intestinal inflammation as assessed by fecal calprotectin.
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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 | 0.003 | 0.008 |
| 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 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".