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

mHealth for Wellness, Behavior Change and Prevention (4283) Web-based and Mobile Health Interventions (5877) Mobile Health (mhealth) (5216) Wearable Devices and Sensors (1608) Fitness Trackers and Smart Pedometers/Accelerometers (800) Innovations and Technology for Physical Activity Education (1072) Engagement with and Adherence to Digital Health Interventions, Law of Attrition (818)

Published on in Vol 12 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/51216, first published .
Elderly man checks fitness tracker and smartphone outdoors

Deconstructing Fitbit to Specify the Effective Features in Promoting Physical Activity Among Inactive Adults: Pilot Randomized Controlled Trial

Deconstructing Fitbit to Specify the Effective Features in Promoting Physical Activity Among Inactive Adults: Pilot Randomized Controlled Trial

Authors of this article:

Keisuke Takano1 Author Orcid Image ;   Takeyuki Oba1 Author Orcid Image ;   Kentaro Katahira1 Author Orcid Image ;   Kenta Kimura1 Author Orcid Image
Article Authors Cited by (8) Tweetations (1) Metrics

Journals

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  2. Oba T, Moriishi C, Takano K, Katahira K, Kimura K. Mobile-Based Ecological Momentary Intervention for Improving Physical Activity in Adults Without Regular Physical Activity: Pilot Randomized Controlled Trial. JMIR Formative Research 2025;9:e79360 View
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  7. Badier N, Lafitte A, Difernand A, Aguayo G, Fagherazzi G, Onnela J, Vittrant B, Lechat B, De Larochelambert Q, Toussaint J, Delrieu L. Digital Phenotyping in Health Research: Scoping Review of Methods, Gaps, and Opportunities. Journal of Medical Internet Research 2026;28:e91747 View
  8. Wu J, Maiorano A, Mama S, Hakun J, Conroy D. A scoping review of how automation, self-tracking dose characteristics, and participant age are operationalized in digital physical activity interventions. DIGITAL HEALTH 2026;12 View