Published on in Vol 11 (2023)
Preprints (earlier versions) of this paper are
available at
https://preprints.jmir.org/preprint/49148, first published
.

Journals
- Leung W, Vo K, Clough M, Frias R. The use of wearable devices on physical activity levels among individuals living with diabetes: 2017 BRFSS. Primary Care Diabetes 2024;18(4):466 View
- Takano K, Oba T, Katahira K, Kimura K. Deconstructing Fitbit to Specify the Effective Features in Promoting Physical Activity Among Inactive Adults: Pilot Randomized Controlled Trial. JMIR mHealth and uHealth 2024;12:e51216 View
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- Leung W, Law S, Cheung M, Chang M, Lai C, Liu N. From resistance to acceptance: developing health task measures to boost mHealth adoption among older adults: mixed-methods approach and innovation resistance. Internet Research 2025;35(4):1678 View
- Kawaguchi K, Nakagomi A, Ide K, Kondo K. Effects of a Mobile App to Promote Social Participation on Older Adults: Randomized Controlled Trial. Journal of Medical Internet Research 2024;26:e64196 View
- Tayon K, Carlisle A, Taylor B, Cornwell W, Shapiro B, Thomas R, Dineen E. App-Timizing Cardiac Rehabilitation: Enhancing Patient Engagement with Mobile Health Applications. Current Cardiovascular Risk Reports 2024;18(12):197 View
- Konishi N, Oba T, Takano K, Katahira K, Kimura K. Functions of Smartphone Apps and Wearable Devices Promoting Physical Activity: Six-Month Longitudinal Study on Japanese-Speaking Adults. JMIR mHealth and uHealth 2024;12:e59708 View
- Lewis B, Napolitano M, Buman M, Williams D, Nigg C. Physical activity interventions: an update on advancing sedentary time, technology, and dissemination and implementation research. Journal of Behavioral Medicine 2025;48(1):99 View
- Joung K, An S, Bang J, Kim K. Comparative Effectiveness of Wearable Devices and Built-In Step Counters in Reducing Metabolic Syndrome Risk in South Korea: Population-Based Cohort Study. JMIR mHealth and uHealth 2025;13:e64527 View
- Parvin N, Joo S, Jung J, Mandal T. Multimodal AI in Biomedicine: Pioneering the Future of Biomaterials, Diagnostics, and Personalized Healthcare. Nanomaterials 2025;15(12):895 View
- Piras F, Sottile E, Tuveri G, Meloni I. Exploring factors influencing car commuters’ willingness to participate to an app-based Voluntary Travel Behaviour Change programme. Transportation Planning and Technology 2025:1 View
- Kouzuki M. Health Promotion and Digital Tools: Analysis of Consumer Demands. Yonago Acta Medica 2025;68(3):187 View
- Stenzel J, Kopkow C, Bahns C. Use of Mobile Health Apps by Individuals with Hip and Knee Osteoarthritis in Germany. physioscience 2026;22(01):26 View
- Chang S, Yeh L, Chen D, Hu K, Yu M, Chang C. Health Motivation as a Predictor of mHealth Engagement Across BMI: Cross-Sectional Survey. JMIR mHealth and uHealth 2025;13:e71625 View
- König L, Forbes C, Busse H, DeSmet A, Szinay D, Wan J, Guo Z, Smit E. Inequalities in Exclusively Mobile Interventions Targeting Weight‐Related Behaviors: Systematic Review of Observational Studies. Obesity Reviews 2026;27(5) View
- Moriishi C, Takano K, Oba T, Konishi N, Katahira K, Kimura K. Examining the Factor Structure of Objective Health Literacy and Numeracy Scales: Large-Scale Cross-Sectional Study. JMIR Public Health and Surveillance 2026;12:e71701 View
- Shi Y, Kim J, Mizushima R, Mizuno S, Yanagisawa T, Nakata Y. Understanding User Perspectives to Inform Personalized Physical Activity Promotion in a Health Care App: Qualitative Focus Group Interview Study. JMIR Formative Research 2026;10:e85390 View
- Gulec H, Smahel D, Huang Y. Patterns and Characteristics of Mobile App Use to Promote Wellness and Manage Illness: Cross-Sectional Study. Journal of Medical Internet Research 2026;28:e71363 View
- Heo S, Choi T, Choi W. Clinical Validation of an On-Device AI-Driven Real-Time Human Pose Estimation and Exercise Prescription Program; Prospective Single-Arm Quasi-Experimental Study. Healthcare 2026;14(4):482 View
- Takano K, Oba T, Kimura K. Epicurean eating pleasure may not help weight management: A cross-sectional survey on Japanese-speaking adults. Appetite 2026;222:108514 View
- König L, Volpi L, Koch T. Conjoint analysis of social inequality indicators in diet and physical activity app (non-)users: Representative online surveys in Austria, Germany and Italy. DIGITAL HEALTH 2026;12 View
- Takano K, Oba T, Katahira K, Kimura K. Usage Styles of Physical Activity Apps are Associated with Long-Term Activity Levels: A 6-Month Prospective Analysis. INQUIRY: The Journal of Health Care Organization, Provision, and Financing 2026;63 View
- Sas-Nowosielski K, Szopa-Wiśnios S. Fitness Apps Vs. Personal Trainers: User Perceptions, Preferences, and the Future of Digital Support in Physical Activity. Polish Journal of Sport and Tourism 2026;33(2):36 View
- Moriishi C, Oba T, Takano K, Katahira K, Kimura K. Exploring Response Patterns to Motivational Messages Supporting Physical Activity: Latent Class Analysis. JMIR Human Factors 2026;13:e91917 View
- Kim J, Yoo S, Oh S, Moon S, Lee K, Nam K, Park H, Jung S, Choi H, Kim H, Lee S, Kim N, Song M, Min B, Lee J, Shin J. Effectiveness of Mobile-Delivered Exercise and Yoga Programs on Depressive Symptom Reduction in Employees: A Randomized Controlled Trial (Preprint). JMIR Human Factors 2025 View
