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

mHealth for Wellness, Behavior Change and Prevention (3315) Consumer & Patient Education and Shared-Decision Making (862) Mobile Health (mhealth) (3464) Visualization in eHealth (68) mHealth for Patient Education (292)

Published on in Vol 8, No 10 (2020): October

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/20982, first published .
Using mHealth to Provide Mobile App Users With Visualization of Health Checkup Data and Educational Videos on Lifestyle-Related Diseases: Methodological Framework for Content Development

Using mHealth to Provide Mobile App Users With Visualization of Health Checkup Data and Educational Videos on Lifestyle-Related Diseases: Methodological Framework for Content Development

Using mHealth to Provide Mobile App Users With Visualization of Health Checkup Data and Educational Videos on Lifestyle-Related Diseases: Methodological Framework for Content Development

Authors of this article:

Azusa Aida1, 2 Author Orcid Image ;   Thomas Svensson1, 3, 4 Author Orcid Image ;   Akiko Kishi Svensson1, 2, 3 Author Orcid Image ;   Hirokazu Urushiyama5 Author Orcid Image ;   Kazuya Okushin6 Author Orcid Image ;   Gaku Oguri7 Author Orcid Image ;   Naoto Kubota2 Author Orcid Image ;   Kazuhiko Koike6 Author Orcid Image ;   Masaomi Nangaku8 Author Orcid Image ;   Takashi Kadowaki2, 9 Author Orcid Image ;   Toshimasa Yamauchi2 Author Orcid Image ;   Ung-Il Chung1, 4, 10 Author Orcid Image
Article Authors Cited by (13) Tweetations (6) Metrics

Journals

  1. Kim G, Lee J, Lee S. A Technology-Mediated Interventional Approach to the Prevention of Metabolic Syndrome: A Systematic Review and Meta-Analysis. International Journal of Environmental Research and Public Health 2021;18(2):512 View
  2. Yun Lee H, Wang K, Deavours D, Lee J, Ott T, Lee J, Yoon S. Information and communication technology use for seeking health information in Vietnamese living in rural areas. International Journal of Health Promotion and Education 2023;61(6):307 View
  3. Wu C, Wang S, Su Y, Hsieh T, Chen P, Cheng Y, Tseng T, Chang W, Su C, Kuo L, Chien J, Lai F. A Precision Health Service for Chronic Diseases: Development and Cohort Study Using Wearable Device, Machine Learning, and Deep Learning. IEEE Journal of Translational Engineering in Health and Medicine 2022;10:1 View
  4. Noda M, Kuroda T, Nomura A, Ito M, Yoshizaki T, Fushiki H. Smartphone-Assisted Medical Care for Vestibular Dysfunction as a Telehealth Strategy for Digital Therapy Beyond COVID-19: Scoping Review. JMIR mHealth and uHealth 2023;11:e48638 View
  5. Chan G, Nwagu C, Odenigbo I, Alslaity A, Orji R. The Shape of Mobile Health: A Systematic Review of Health Visualization on Mobile Devices. International Journal of Human–Computer Interaction 2025;41(2):1154 View
  6. Tan X, Suo X, Li W, Bi L, Yao F. Data visualization in healthcare and medicine: a survey. The Visual Computer 2025;41(5):3037 View
  7. Feng G, Zhao K, Wang Y, Yue Q, Chen Y, Huang L, Meng X, Peng T, Zeng Y. mhealth-based interventions to improving liver cancer screening among high-risk populations: a study protocol for a randomized controlled trial. BMC Public Health 2024;24(1) View
  8. 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
  9. Guseva A, Demkina A, Sudarev P, Tishkina A, Udagova Z, Derbeneva M. Remote technologies in the management of patients with vestibular pathology. Russian Bulletin of Otorhinolaryngology 2025;90(3):53 View
  10. Jagoda T, Dharmaratne S, Rathnayake S. Designing an evidence-based mHealth app through human-centred approaches. BMJ Innovations 2025:bmjinnov-2025-001381 View

Books/Policy Documents

  1. Dey N, V. R. Magnetic Resonance Imaging. View
  2. Lee H, Wang K, Deavours D, Lee J, Fulmore T, Lee J, Yoon S, Sleep-Frankel M. ICT Use and Healthy Longevity. View

Conference Proceedings

  1. Li T, Haynes M, Juhring J, Rucker B, Prabhakar A, Ongwere T. Nordic Human-Computer Interaction Conference. Designing a Mobile App with Patients with Discordant Chronic Comorbidities (DCCs): a Usability Study View