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

Cardiovascular Disease Prevention (264) Web-based and Mobile Health Interventions (5758) Mobile Health (mhealth) (5078) Mobile Apps for Cardiology (223) Cardiac Self-Management (172) Innovations and Technology for Physical Activity Education (1056)

Published on in Vol 7 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/43940, first published .
DialBetics Step user manual and smartphone beside a pedometer

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

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

Authors of this article:

Tomomi Shibuta1 Author Orcid Image ;   Kayo Waki1, 2, 3 Author Orcid Image ;   Kana Miyake1, 3 Author Orcid Image ;   Ayumi Igarashi4 Author Orcid Image ;   Noriko Yamamoto-Mitani4 Author Orcid Image ;   Akiko Sankoda1 Author Orcid Image ;   Yoshinori Takeuchi5 Author Orcid Image ;   Masahiko Sumitani6 Author Orcid Image ;   Toshimasa Yamauchi3 Author Orcid Image ;   Masaomi Nangaku7 Author Orcid Image ;   Kazuhiko Ohe1, 2 Author Orcid Image
Article Authors Cited by (10) Tweetations (3) Metrics

Journals

  1. 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
  2. Ghazala S, Veluswamy S, Ravindra S, Arena R, Myers J. Efficacy of mHealth-Based Workplace Health Promotion Strategy in Improving Cardiorespiratory Fitness in a Healthcare Setting. Journal of Occupational & Environmental Medicine 2024;66(12):1083 View
  3. Gan Y, Kwan Y, Seah J, Low L. Association of Novel Clinical and Behavioural Markers with HbA1c Improvement: A Latent Class Analysis of 912 Patients with Type 2 Diabetes Mellitus. Diabetes Research and Clinical Practice 2025;219:111971 View
  4. Waki K, Enomoto S, Yamauchi T, Nangaku M, Ohe K. Personalized mHealth Intervention (StepAdd) for Increasing Physical Activity in Japanese Patients With Type 2 Diabetes: Secondary Analysis of Social Cognitive Theory Measurements of a Single-Arm Pilot Study. JMIR Formative Research 2025;9:e60221 View
  5. Chen Q, Gong K, Bao Z, Yin Y, Zhao L, Chen Y. Pathways Linking ICT Use to Chronic Disease Self-Management Among Older Adults with Comorbidities in Shanghai, China. Healthcare 2025;13(13):1626 View
  6. Guan W, Hao X, Tang Y. The impact of fitness app need support on women’s exercise adherence behavior: a serial mediation effect of self-efficacy and perceived health control. Frontiers in Psychology 2026;17 View
  7. Baldwin T, Cadar D, Sigala N. Mobile apps to promote behavioural change in occupational settings: a systematic review and meta-analysis. BMC Digital Health 2026;4(1) View
  8. Li Y, Newman M, Klasnja P. Self-monitoring at a Glance: Exploring the Design Space of Glanceable Smartwatch Feedback Displays (Preprint). JMIR mHealth and uHealth 2025 View
  9. Lu S, Ma W, Lee K, Liao W, Yang H, Lin Y, Hong O. Mixed-Method Process Evaluation of a Mobile Technology-Based Tailored Workplace Health Promotion Program. Advances in Nursing Science 2026 View

Books/Policy Documents

  1. Fellmann M, Schmidt A. Perspectives in Business Informatics Research. View