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

Summary

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.

Conditions

• IBS - Irritable Bowel Syndrome

Interventions

OTHER

Heali mobile application + Registered Dietitian

The Heali mobile application is a dietary resource validated by RD's which uses AI and ML to scan menus and barcodes to provide individuals with information regarding nutritive content and applicability to one's diet using an overall food score and traffic light system. Users have the ability to choose a number of therapeutic diets including LFD, SCD, GERD, and Lectin Free to name a few, but for this study, the app will be isolated to only the LFD. RDs employed by Heali provide real-time messaging to users. For this study, participants will be given access via cell phone login and password (names will not be used). Participant usage information will be de-identified and automatically sent to excel for study authors to perform statistical analysis.

OTHER

Heali mobile application

The Heali mobile application is a dietary resource validated by RD's which uses AI and ML to scan menus and barcodes to provide individuals with information regarding nutritive content and applicability to one's diet using an overall food score and traffic light system. Users have the ability to choose a number of therapeutic diets including LFD, SCD, GERD, and Lectin Free to name a few, but for this study, the app will be isolated to only the LFD. For this study, participants will be given access via cell phone login and password (names will not be used). Participant usage information will be de-identified and automatically sent to excel for study authors to perform statistical analysis.

OTHER

Standard Dietary Education

An educational guide to the implementation of the elimination and reintroduction phases of the diet, a suitable/unsuitable food guide, 19 substitutes for unsuitable foods, a guide of example meals (i.e., breakfast-6 recipes, lunch-8 recipes, dinner-12 recipes, and snacks/beverages-13 recipes), and tips for reading labels and eating a balanced diet while following the LFD. The website is located at http://www.myginutrition.com/news.html and operated by the University of Michigan Health System.

Sponsors & Collaborators

• Arizona State University

  lead OTHER

Study Design

Allocation

RANDOMIZED

Purpose

TREATMENT

Masking

NONE

Model

PARALLEL

Eligibility

Min Age

18 Years

Max Age

65 Years

Sex

ALL

Healthy Volunteers

No

Timeline & Regulatory

Start

2020-01-23

Primary Completion

2020-06-01

Completion

2020-06-01

Countries

• United States

Study Locations