A Pilot Study of Intervention With a Mobile Application Visualizing the Macronutrient Content for Type 2 Diabetes at a Japanese Center.

Medical nutrition therapy Mobile applications Self-management Type 2 diabetes mellitus

Journal

Journal of clinical medicine research
ISSN: 1918-3003
Titre abrégé: J Clin Med Res
Pays: Canada
ID NLM: 101538301

Informations de publication

Date de publication:
Aug 2021
Historique:
received: 09 07 2021
accepted: 23 07 2021
entrez: 16 9 2021
pubmed: 17 9 2021
medline: 17 9 2021
Statut: ppublish

Résumé

Estimating the nutritional content of food is essential for self-management in people with type 2 diabetes mellitus, but it is a difficult skill to learn. The aim of this study was to investigate how diabetes management was impacted by the ability of patients to search for items they ate from a database of 26,300 different foods, and to visualize nutritional intake using the Japanese mobile application (app) "Calomeal." This was a single-arm, single-center, pilot study. Eighteen outpatients with type 2 diabetes mellitus used the "Calomeal" app for 3 months. The primary endpoint was change in hemoglobin A1c (HbA1c). Secondary endpoints were changes in body weight (BW), lipid parameters, and quality of life scores. The baseline characteristics of the study subjects were as follows: age: 53.4 ± 7.8 years; male/female ratio: 11/7; HbA1c: 7.9 (7.58 - 8.23)%; and body mass index (BMI): 25.17 (21.63 - 28.59) kg/m Japanese patients who used their smartphones to visualize their nutritional intake using the "Calomeal" app demonstrated improved short-term glycemic control and BMI. Although the validity of the results should be tested in future randomized controlled trials, this approach may be a clinical option for improving self-management in Japanese patients with type 2 diabetes mellitus.

Sections du résumé

BACKGROUND BACKGROUND
Estimating the nutritional content of food is essential for self-management in people with type 2 diabetes mellitus, but it is a difficult skill to learn. The aim of this study was to investigate how diabetes management was impacted by the ability of patients to search for items they ate from a database of 26,300 different foods, and to visualize nutritional intake using the Japanese mobile application (app) "Calomeal."
METHODS METHODS
This was a single-arm, single-center, pilot study. Eighteen outpatients with type 2 diabetes mellitus used the "Calomeal" app for 3 months. The primary endpoint was change in hemoglobin A1c (HbA1c). Secondary endpoints were changes in body weight (BW), lipid parameters, and quality of life scores.
RESULTS RESULTS
The baseline characteristics of the study subjects were as follows: age: 53.4 ± 7.8 years; male/female ratio: 11/7; HbA1c: 7.9 (7.58 - 8.23)%; and body mass index (BMI): 25.17 (21.63 - 28.59) kg/m
CONCLUSIONS CONCLUSIONS
Japanese patients who used their smartphones to visualize their nutritional intake using the "Calomeal" app demonstrated improved short-term glycemic control and BMI. Although the validity of the results should be tested in future randomized controlled trials, this approach may be a clinical option for improving self-management in Japanese patients with type 2 diabetes mellitus.

Identifiants

pubmed: 34527098
doi: 10.14740/jocmr4558
pmc: PMC8425790
doi:

Types de publication

Journal Article

Langues

eng

Pagination

425-433

Informations de copyright

Copyright 2021, Tsunemi et al.

Déclaration de conflit d'intérêts

The authors have no conflict of interest to disclose.

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Auteurs

Asako Tsunemi (A)

Department of Metabolism and Endocrinology, Juntendo University Graduate School of Medicine, Tokyo, Japan.

Junko Sato (J)

Department of Metabolism and Endocrinology, Juntendo University Graduate School of Medicine, Tokyo, Japan.

Sakae Sugimoto (S)

Department of Nutrition, Juntendo University Hospital, Tokyo, Japan.

Yuko Iwagaki (Y)

Department of Nutrition, Juntendo University Hospital, Tokyo, Japan.

Mari Enomoto (M)

Department of Nutrition, Juntendo University Hospital, Tokyo, Japan.

Yuki Someya (Y)

Department of Metabolism and Endocrinology, Juntendo University Graduate School of Medicine, Tokyo, Japan.

Mai Kiya (M)

Department of Metabolism and Endocrinology, Juntendo University Graduate School of Medicine, Tokyo, Japan.

Eiko Matsuhashi (E)

Department of Metabolism and Endocrinology, Juntendo University Graduate School of Medicine, Tokyo, Japan.

Yuka Wakabayashi (Y)

Department of Metabolism and Endocrinology, Juntendo University Graduate School of Medicine, Tokyo, Japan.

Takashi Funayama (T)

Department of Metabolism and Endocrinology, Juntendo University Graduate School of Medicine, Tokyo, Japan.

Tomoya Mita (T)

Department of Metabolism and Endocrinology, Juntendo University Graduate School of Medicine, Tokyo, Japan.

Toyoyoshi Uchida (T)

Department of Metabolism and Endocrinology, Juntendo University Graduate School of Medicine, Tokyo, Japan.

Takeshi Miyatsuka (T)

Department of Metabolism and Endocrinology, Juntendo University Graduate School of Medicine, Tokyo, Japan.

Kosuke Azuma (K)

Department of Metabolism and Endocrinology, Juntendo University Graduate School of Medicine, Tokyo, Japan.

Tomoaki Shimizu (T)

Department of Metabolism and Endocrinology, Juntendo University Graduate School of Medicine, Tokyo, Japan.

Akio Kanazawa (A)

Department of Metabolism and Endocrinology, Juntendo University Graduate School of Medicine, Tokyo, Japan.

Hiroaki Satoh (H)

Department of Metabolism and Endocrinology, Juntendo University Graduate School of Medicine, Tokyo, Japan.

Hirotaka Watada (H)

Department of Metabolism and Endocrinology, Juntendo University Graduate School of Medicine, Tokyo, Japan.
Center for Therapeutic Innovations in Diabetes, Juntendo University Graduate School of Medicine, Tokyo, Japan.
Center for Identification of Diabetic Therapeutic Targets, Juntendo University Graduate School of Medicine, Tokyo, Japan.

Classifications MeSH