This paper is in the following e-collection/theme issue:

Formative Evaluation of Digital Health Interventions (2491) Mobile Health (mhealth) (2982) mHealth for Wellness, Behavior Change and Prevention (2922) Web-based and Mobile Health Interventions (3357)

Published on in Vol 6, No 3 (2022): March

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/33852, first published .
Effect of Information and Communication Technology–Based Self-management System DialBeticsLite on Treating Abdominal Obesity in the Specific Health Guidance in Japan: Randomized Controlled Trial

Effect of Information and Communication Technology–Based Self-management System DialBeticsLite on Treating Abdominal Obesity in the Specific Health Guidance in Japan: Randomized Controlled Trial

Effect of Information and Communication Technology–Based Self-management System DialBeticsLite on Treating Abdominal Obesity in the Specific Health Guidance in Japan: Randomized Controlled Trial

Authors of this article:

Masahiro Kondo1, 2 Author Orcid Image ;   Teru Okitsu3 Author Orcid Image ;   Kayo Waki4, 5 Author Orcid Image ;   Toshimasa Yamauchi5 Author Orcid Image ;   Masaomi Nangaku6 Author Orcid Image ;   Kazuhiko Ohe1 Author Orcid Image
Article Authors Cited by (10) Tweetations (5) Metrics

Journals

  1. Shibata S, Hoshide S. Current situation of telemedicine research for cardiovascular risk in Japan. Hypertension Research 2023;46(5):1171 View
  2. Jeem Y, Andriani R, Nabila R, Emelia D, Lazuardi L, Koesnanto H. The Use of Mobile Health Interventions for Outcomes among Middle-Aged and Elderly Patients with Prediabetes: A Systematic Review. International Journal of Environmental Research and Public Health 2022;19(20):13638 View
  3. Shibuta T, Waki K, Miyake K, Igarashi A, Yamamoto-Mitani N, Sankoda A, Takeuchi Y, Sumitani M, Yamauchi T, Nangaku M, Ohe K. Preliminary Efficacy, Feasibility, and Perceived Usefulness of a Smartphone-Based Self-Management System With Personalized Goal Setting and Feedback to Increase Step Count Among Workers With High Blood Pressure: Before-and-After Study. JMIR Cardio 2023;7:e43940 View
  4. Sze W, Waki K, Enomoto S, Nagata Y, Nangaku M, Yamauchi T, Ohe K. StepAdd: A personalized mHealth intervention based on social cognitive theory to increase physical activity among type 2 diabetes patients. Journal of Biomedical Informatics 2023;145:104481 View
  5. Waki K, Tsurutani Y, Waki H, Enomoto S, Kashiwabara K, Fujiwara A, Orime K, Kinguchi S, Yamauchi T, Hirawa N, Tamura K, Terauchi Y, Nangaku M, Ohe K. Efficacy of StepAdd, a Personalized mHealth Intervention Based on Social Cognitive Theory to Increase Physical Activity Among Patients With Type 2 Diabetes Mellitus: Protocol for a Randomized Controlled Trial. JMIR Research Protocols 2024;13:e53514 View
  6. Pala D, Petrini G, Bosoni P, Larizza C, Quaglini S, Lanzola G. Smartphone applications for nutrition Support: A systematic review of the target outcomes and main functionalities. International Journal of Medical Informatics 2024;184:105351 View
  7. Metzendorf M, Wieland L, Richter B. Mobile health (m-health) smartphone interventions for adolescents and adults with overweight or obesity. Cochrane Database of Systematic Reviews 2024;2024(2) View
  8. Ozaki I, Nishijima M, Shibata E, Zako Y, Chiang C. Factors Related to mHealth App Use Among Japanese Workers: Cross-Sectional Survey. JMIR Human Factors 2024;11:e54673 View
  9. Nogueira-Rio N, Varela Vazquez L, Lopez-Santamarina A, Mondragon-Portocarrero A, Karav S, Miranda J. Mobile Applications and Artificial Intelligence for Nutrition Education: A Narrative Review. Dietetics 2024;3(4):483 View
  10. Noda Y, Kometani M, Nomura A, Noda M, Oka R, Kadono M, Yoneda T, Ayatollahi H. The usefulness of an application-supported nutritional intervention on non-high-density lipoprotein cholesterol in people with a risk of lifestyle-related diseases. PLOS Digital Health 2024;3(12):e0000648 View