Effects of a Novel Machine Learning Mobile App on Diet Adherence in Individuals Following the Low Fodmap Diet

Completed · Not applicable

Conditions studied: IBS - Irritable Bowel Syndrome

In brief

A high fermented, oligio-, di-, monosaccharide, and polyols (FODMAP) diet has been shown to exacerbate the symptoms of irritable bowel syndrome (IBS). Previous literature has shown significant improvement in IBS symptoms after adherence to a low FODMAP diet (LFD); hence, LFD is a viable treatment method for IBS and IBS-like symptoms. However, adherence to the LFD has proven to be difficult with participants stating that information provided by medical practitioners is generalized and nonspecific requiring them to search for supplementary information to fit their individual needs. Notably, studies that have used a combination of online and in-person methods for treatment have shown improved adherence to the LFD. The purpose of this study is to determine whether a novel machine learning dietary mobile application (ML-App) will improve adherence to the LFD compared to a standard online dietary intervention in populations with IBS or IBS-like symptoms over a 4 week period.

Key facts

Study ID
NCT04256551
Run by
Arizona State University
People needed
58
Starts
2020-01-23
Expected to finish
2020-06-01
Last updated by the study team
2020-07-08

Who can join

Age: 18 and older, up to 65. Sex: any. Healthy volunteers: not accepted.

You may qualify if…

You may not qualify if…

Where it is running

Full record on ClinicalTrials.gov

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