An online low-FODMAP educational intervention improves physical and psychological symptoms of irritable bowel syndrome
Bibliographic record
Abstract
The low fermentable oligo-, di- and monosaccharides, and polyols (FODMAPs) diet has proven beneficial for the management of irritable bowel syndrome (IBS). The growing demand and limited availability of registered dietitians specialized in IBS, together with the omnipresence of technology in daily life, provide an opportunity for the development of adapted resources. This study aimed to assess the impact of implementing the low FODMAP diet, through an online educational service platform, on the quality of life of patients living with IBS. A prospective single-group intervention pilot study involving patients with IBS from two hospitals was conducted. Participants followed the low-FODMAP diet using a web-based platform for 6 months. The IBS quality of life questionnaire (IBS-QoL), the IBS symptom severity scoring system (IBS-SSS), and the State-Trait Anxiety Inventory Form Y were completed at baseline, after the restriction phase and after reintroduction phase. Fifteen of the 35 recruited participants completed the study (80.0% female, median age of 43.0 (36.0–52.0) years) and at 6 months, a trend towards IBS-QoL improvement was observed, along with a significant improvement in IBS-SSS (from 276 to 200; p < 0.05) and state anxiety level (from 44 to 33; p < 0.05). The results of this pilot study provide valuable insights for the design of a larger study, with promising relevance and utility of teaching the low-FODMAP diet using alternative educational methods.
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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 | 0.000 | 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) | 0.003 | 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".