A longitudinal study of fatigue in a population-based inflammatory bowel disease cohort
Bibliographic record
Abstract
Background: A comprehensive study of what individuals with inflammatory bowel disease (IBD) are eating that encompasses food avoidance, dietary sugar consumption, and a comparison with the non-IBD Canadian population has not been documented. The aim was to analyze these interrelated dietary components. Methods: Food avoidance and sugar intake data were collected from 319 patients with IBD enrolled in the University of Manitoba IBD Cohort Study. Diets of those with IBD (n = 256) were compared with a matched, non-IBD Canadian cohort using the nutrition questions obtained from the Canadian Health Measures Survey (CHMS). Results: Food avoidance among IBD is prevalent for alcohol, popcorn, legumes, nuts, seeds, deep-fried food, and processed deli meat, with a higher prevalence among those with active IBD. Patients with active IBD also consumed significantly more portions of sports drinks and sweetened beverages compared with those with inactive disease. Compared with the non-IBD Canadian population, patients with IBD consume significantly less iron-rich food but more milk. Conclusions: Food avoidance is common among those with IBD but may be due more to personal preferences, while sugar-laden beverages may be displacing other foods higher in nutrients. The overall diet of patients with IBD differed from that of the non-IBD Canadian population, but deficiencies were observed in both groups. Considering malnutrition among persons living with IBD, nutrition education by trained dietitians as part of the IBD team is imperative to address food avoidance and overall balance nutrition as part of treating and preventing nutrition deficiencies.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 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) | 0.000 | 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 teacher head, 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".