Effect of Low FODMAPs Diet on Irritable Bowel Syndromes: A Systematic Review and Meta-Analysis of Clinical Trials.
Jongsung HahnJeongwon ChoiMin Jung ChangPublished in: Nutrients (2021)
We conducted a meta-analysis exploring the effect of a low fermentable oligo-, di-, monosaccharides, and polyols diet (LFD) on the overall symptoms, quality of life, and stool habits of irritable bowel syndrome (IBS) patients. The meta-analysis was performed using a random-effects method. The effect size was presented as weighted standardized mean difference (SMD) and 95% confidence interval (CI). Subgroup analyses were conducted to determine the potential effects of covariates on the outcome. Twenty-two papers were included. The LFD group showed a moderate reduction in symptom severity and a slight improvement in quality of life compared to the control group (SMD, -0.53 and 0.24; 95% CI, -0.68, -0.38 and 0.02, 0.47, respectively). IBS symptom improvement was consistent between subgroups stratified according to proportions of female patients, study durations, IBS subtypes, assessment methods, and control interventions. Three studies regarding stool habits change in IBS-D patients showed a significant decrease in stool frequency (mean differences [MD], -5.56/week; 95% CI, -7.40, -3.72) and a significant improvement in stool consistency (MD, -0.86; 95% CI, -1.52, -0.19) in the LFD group compared to the control group. This is the most updated meta-analysis including studies that adopted diverse control interventions such as dietary interventions, supplementation, habitual diets, and lifestyle changes.
Keyphrases
- irritable bowel syndrome
- end stage renal disease
- systematic review
- physical activity
- clinical trial
- newly diagnosed
- ejection fraction
- chronic kidney disease
- weight loss
- prognostic factors
- magnetic resonance imaging
- randomized controlled trial
- metabolic syndrome
- patient reported
- cardiovascular disease
- case control
- staphylococcus aureus
- escherichia coli
- patient reported outcomes
- depressive symptoms
- network analysis
- contrast enhanced