Food Item Avoidance of Patients with Irritable Bowel Syndrome Compared with Healthy People.
Bibliographic record
Abstract
BACKGROUND: To construct a dietary guideline for patients with irritable bowel syndrome (IBS), data about foods these people exclude from their diet to improve their symptoms are necessary. This study was designed to assess the prevalence of food exclusions as well as the reasons for such exclusions in a large group of IBS patients. METHODS: In this cross-sectional study, data on 3846 Iranian adults, 828 of whom were patients with IBS, working in 50 different health centers were examined. A 106-item self-administered Dish-based Semi-quantitative Food Frequency Questionnaire (DSFFQ) which was designed and validated specifically for Iranian adults was used for assessing dietary intake. IBS was assessed using a modified Persian version of the Rome III questionnaire. RESULTS: The whole prevalence of IBS was 21.5% (n = 828) in the total population (23.9% in women and 18.6% in men). Mean age of patients with IBS was 36.26 ± 7.91 years and for subjects without IBS, it was 36.52 ± 8.12 years. IBS patients had a greater probability to avoid consumption of ketchup (90% vs 33%, P = 0.005), Dough (100% vs 1%, P = 0.003), Gaz (50% vs. 1%, P = 0.035), grapes (33% vs. 7%, P = 0.034), fresh berries (56% vs. 14%, P = 0.036) and butter (100% vs. 60%, P = 0.02) due to gastrointestinal (GI) symptoms compared with healthy individuals. Although, the exclusion of plum (1% vs. 26%, P = 0.006), pickles (39% vs. 67%, P = 0.004), lemon juice (21% vs 35%, P = 0.027), egg (5% vs. 25%, P = 0.011), fresh fig (19% vs. 44%, P = 0.038) and cake (25% vs. 100%, P = 0.028) due to GI symptoms in IBS patients were lower than non-IBS participants. CONCLUSION: The present study showed that IBS patients were more likely to avoid consumption of ketchup, Dough, Gaz, grapes, fresh berries and butter due to GI symptoms compared with healthy individuals. Further studies are required to confirm these findings.
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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 | 0.000 | 0.001 |
| 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".