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

Usability of Apps and User Perceptions of mHealth (974) mHealth for Wellness, Behavior Change and Prevention (2871) Prevention and Health Promotion (986) Fitness Trackers and Smart Pedometers/Accelerometers (561) mHealth for Wellness, Behavior Change and Prevention (2871) Innovations and Technology for Physical Activity Education (742) Mobile Health (mhealth) (2939) Prevention and Health Promotion (986) Fitness Trackers and Smart Pedometers/Accelerometers (561) mHealth for Wellness, Behavior Change and Prevention (2871) Innovations and Technology for Physical Activity Education (742) Mobile Health (mhealth) (2939) Innovations and Technology for Physical Activity Education (742) Prevention and Health Promotion (986) Mobile Health (mhealth) (2939) Fitness Trackers and Smart Pedometers/Accelerometers (561)

Published on in Vol 11 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/49148, first published .
Use Patterns of Smartphone Apps and Wearable Devices Supporting Physical Activity and Exercise: Large-Scale Cross-Sectional Survey

Use Patterns of Smartphone Apps and Wearable Devices Supporting Physical Activity and Exercise: Large-Scale Cross-Sectional Survey

Use Patterns of Smartphone Apps and Wearable Devices Supporting Physical Activity and Exercise: Large-Scale Cross-Sectional Survey

Authors of this article:

Takeyuki Oba1 Author Orcid Image ;   Keisuke Takano1 Author Orcid Image ;   Kentaro Katahira1 Author Orcid Image ;   Kenta Kimura1 Author Orcid Image
Article Authors Cited by (9) Tweetations (3) Metrics

Journals

  1. 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
  2. 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
  3. Sher J, Lewis C, Lin C. Using Wearable Technologies to Monitor Physical Activity and Exercise in Patients: A Narrative Review. Current Sports Medicine Reports 2024;23(8):284 View
  4. Sahebihagh M, Hosseinzadeh M, Mirghafourvand M, Sarbakhsh P, Nemati H. Preferences of Iranian smokers regarding smart smoking cessation technologies: a parallel convergent mixed methods study. BMC Public Health 2024;24(1) View
  5. 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 2024 View
  6. 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
  7. 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
  8. Konishi N, Oba T, Takano K, Katahira K, Kimura K. What Functions of Smartphone Apps and Wearable Devices Promote Physical Activity?: Six-Month Longitudinal Study on Japanese-Speaking Adults (Preprint). JMIR mHealth and uHealth 2024 View
  9. 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 2024 View