Efficacy of FiberMore, an AI-Based mHealth Intervention to Increase Dietary Fiber Intake Among Type 2 Diabetes Patients: Protocol for a Pilot Randomized Controlled Trial

There are currently no mHealth dietary interventions that specifically focus on increasing fiber intake in Japan, highlighting the novelty of this intervention. This trial will generate important evidence on the efficacy, feasibility, and safety of an AI-based mHealth intervention for enhancing dietary fiber intake and glycemic control in free-living individuals with T2D. Furthermore, as a pilot study, it will offer valuable insights into the development of AI as a promising tool for accurate, low-burden dietary assessment.

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Publication Details

Journal
JMIR Research Protocols
Published
2025-12-04
DOI
https://doi.org/10.2196/78019
Citations
1
Primary Topic
Nutritional Studies and Diet
Type
article
Field-Weighted Citation Impact
1.88
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article

Efficacy of FiberMore, an AI-Based mHealth Intervention to Increase Dietary Fiber Intake Among Type 2 Diabetes Patients: Protocol for a Pilot Randomized Controlled Trial

Nagisa Ishibashi, Akihiro Isogawa, Masaki Igarashi, Tomokazu Kawaguchi et al.
1 citations
JMIR Research Protocols
Nutritional Studies and Diet
1.88
article

Efficacy of FiberMore, an AI-Based mHealth Intervention to Increase Dietary Fiber Intake Among Type 2 Diabetes Patients: Protocol for a Pilot Randomized Controlled Trial

Nagisa Ishibashi, Akihiro Isogawa, Masaki Igarashi, Tomokazu Kawaguchi, Wei Thing Sze, Toshimasa Yamauchi, Kengo Miyoshi, Masaomi Nangaku, Sunao Iwata, Tomohisa Aoyama, Yuri Kadowaki, Kayo Waki, Kana Miyake, Masahiko Tanaka, Yoshinori Matsuo, Gotaro Toda, Koji Hasegawa, S. Kameda, Yuwen Ji, Daniel Lane, Ryohei Nakada
article en
1 citations

Abstract

There are currently no mHealth dietary interventions that specifically focus on increasing fiber intake in Japan, highlighting the novelty of this intervention. This trial will generate important evidence on the efficacy, feasibility, and safety of an AI-based mHealth intervention for enhancing dietary fiber intake and glycemic control in free-living individuals with T2D. Furthermore, as a pilot study, it will offer valuable insights into the development of AI as a promising tool for accurate, low-burden dietary assessment.

JMIR Research ProtocolsVol. 14
Bunkyo University (JP), University of Tokyo Hospital (JP), University of Tokyo Health Sciences (JP), Mitsui Memorial Hospital (JP), Department of Health (IE), The University of Tokyo (JP)
Openalex Percentile: Top 10%
Nutritional Studies and Diet
1.88
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