Ulcerative Colitis Is Associated With Diet-related Inflammation and Physical Activity in the IBD Partners E-cohort
Bibliographic record
Abstract
BACKGROUND: Individuals with ulcerative colitis (UC) seek complementary treatment methods, including diet and physical activity, to manage the burden of living with UC. This study examined associations between diet-associated inflammation, physical activity (PA), and UC-related health outcomes. METHODS: Data were obtained from 2052 IBD Partners e-cohort participants with UC. To quantify the inflammatory potential of food intake, dietary data were converted into Dietary Inflammatory Index (DII) and energy adjusted (E-DII) scores. Physical activity data were collected using the Godin-Shephard Leisure Time Activity Index. Outcome variables included the Simple Clinical Colitis Activity Index, Short Inflammatory Bowel Disease Questionnaire, and psychosocial PROMIS domains. RESULTS: Higher E-DII scores, as indicator of increased dietary inflammatory potential, were associated with increased disease activity (β = 0.166; P < .001), anxiety (β = 0.342; P = .006), depression (β = 0.408; P = .004), fatigue (β = 0.386; P = .005), sleep disturbance (β = 0.339; P = .003), and decreased social satisfaction (β = -0.370; P = .004) and quality of life (β = -0.056; P < .001). Physical activity was inversely associated with disease activity (β = -0.108; P < .001), anxiety (β = -0.025; P = .001), depression (β = -0.025; P = .001), fatigue (β = -0.058; P < .001), and sleep disturbance (β = -0.019; P = .008), while positively associated with social satisfaction (β = 0.063; P < .001) and quality of life (β = 0.005; P < .001). Beneficial effects were generally greater for strenuous PA intensity. CONCLUSIONS: An anti-inflammatory diet and increased PA are associated with decreased disease activity, anxiety symptoms, depression symptoms, and fatigue, and associated with improved quality of life, sleep, and social satisfaction for patients with UC. Such modalities may reduce the daily burden of illness and aid in managing systemic and localized inflammation associated with UC.
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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 | 0.001 | 0.000 |
| 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".