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

mHealth for Symptom and Disease Monitoring, Chronic Disease Management (1399) Fitness Trackers and Smart Pedometers/Accelerometers (561) Design and Formative Evaluation of Mobile Apps (694)

Published on in Vol 11 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/43236, first published .
The Effect of a mHealth App (KENPO-app) for Specific Health Guidance on Weight Changes in Adults With Obesity and Hypertension: Pilot Randomized Controlled Trial

The Effect of a mHealth App (KENPO-app) for Specific Health Guidance on Weight Changes in Adults With Obesity and Hypertension: Pilot Randomized Controlled Trial

The Effect of a mHealth App (KENPO-app) for Specific Health Guidance on Weight Changes in Adults With Obesity and Hypertension: Pilot Randomized Controlled Trial

Authors of this article:

Naoki Sakane1 Author Orcid Image ;   Akiko Suganuma1 Author Orcid Image ;   Masayuki Domichi1 Author Orcid Image ;   Shin Sukino1 Author Orcid Image ;   Keiko Abe1 Author Orcid Image ;   Akiyoshi Fujisaki2 Author Orcid Image ;   Ai Kanazawa3 Author Orcid Image ;   Mamiko Sugimoto3 Author Orcid Image
Article Authors Cited by (9) Tweetations (7) Metrics

Journals

  1. Yang H, Wang F, Greenblatt M, Huang S, Zhang Y. AI Chatbots in Clinical Laboratory Medicine: Foundations and Trends. Clinical Chemistry 2023;69(11):1238 View
  2. Antza C, Grassi G, Weber T, Persu A, Jordan J, Nilsson P, Redon J, Stabouli S, Kreutz R, Kotsis V. Assessment and Management of Patients with Obesity and Hypertension in European Society of Hypertension Excellence Centres. A survey from the ESH Working Group on Diabetes and Metabolic Risk Factors.. Blood Pressure 2024;33(1) View
  3. González Bermúdez A, Carramiñana D, Bernardos A, Bergesio L, Besada J. A fusion architecture to deliver multipurpose mobile health services. Computers in Biology and Medicine 2024;173:108344 View
  4. Gregg A, Lehmann L. Privacy and Consent in Mobile Health: Solutions for Balancing Benefits and Risks. Mayo Clinic Proceedings: Digital Health 2024;2(3):331 View
  5. García-Rodríguez R, Vázquez-Rodríguez A, Bellahmar-Lkadiri S, Salmonte-Rodríguez A, Siverio-Díaz A, De Paz-Pérez P, González-Pérez A, Brito-Brito P. Effectiveness of a Nurse-Led Telehealth Intervention to Improve Adherence to Healthy Eating and Physical Activity Habits in Overweight or Obese Young Adults. Nutrients 2024;16(14):2217 View
  6. Shi B, Li G, Wu S, Ge H, Zhang X, Chen S, Pan Y, He Q. Assessing the Effectiveness of eHealth Interventions to Manage Multiple Lifestyle Risk Behaviors Among Older Adults: Systematic Review and Meta-Analysis. Journal of Medical Internet Research 2024;26:e58174 View
  7. Hallock R, Ufholz K, Patel N. Self-Monitoring of Weight as a Weight Loss Strategy: A Systematic Review. Current Cardiovascular Risk Reports 2024;18(11):163 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. Yildirim Keskin A, Özpancar Şolpan N, Değirmenci H. The Effect of Mobile Application Follow‐Up on Treatment Compliance and Self‐Care Management in Patients With Hypertension: Randomized Controlled Trial. Public Health Nursing 2024 View