Meditation and Yoga for Irritable Bowel Syndrome: A Randomized Clinical Trial
Bibliographic record
Abstract
INTRODUCTION: Delivered in person, yoga is effective in managing irritable bowel syndrome (IBS) symptoms. The evidence for efficacy, feasibility, and safety of virtually delivered yoga for patients with IBS is unknown. METHODS: Adults diagnosed with IBS were randomized to either Hatha yoga intervention of 8 weekly online classes delivered virtually or an advice-only control group and assessed at baseline and postintervention. We used an unadjusted ANOVA to determine differences between and within groups on the primary outcome (decrease of ≥50 points in IBS Symptom Severity Scale [IBS-SSS]) and secondary outcomes (quality of life, anxiety and depression, fatigue, somatic symptoms, perceived stress, COVID-19 stress, and self-compassion). We assessed feasibility through recruitment and attrition rates, adherence, participant satisfaction, and safety (i.e., adverse events). RESULTS: Seventy-nine people participated (mean age 45.4 years [SD = 14.0], 92% women, 20% attrition rate). IBS-SSS decreased significantly in the treatment group (Δ change = 54.7, P = 0.028), but not in the control group (Δ change = 22.6, P = 0.277). Fourteen patients (37%) in the yoga group reached a clinically relevant decrease of ≥50 points on the IBS-SSS postintervention compared with 8 patients (20%) in the control group ( P = 0.242). No significant difference was found between groups in IBS-SSS score postintervention ( P = 0.149), but significant differences in favor of the treatment group for quality of life ( P = 0.030), fatigue ( P = 0.035), and perceived stress ( P = 0.040) were identified. The yoga program demonstrated feasibility. Intention to practice yoga decreased significantly in both groups from baseline to postintervention ( P < 0.001). However, the decline in intention did not correlate with practice minutes. DISCUSSION: Virtually delivered yoga is safe and feasible, and effective in reducing IBS symptoms. Based on the primary end point, the intervention was not superior to an advice-only control group.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.010 | 0.001 |
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".