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

Fitness Trackers and Smart Pedometers/Accelerometers (693) Prevention and Health Promotion (1481) mHealth for Wellness, Behavior Change and Prevention (3437) Engagement with and Adherence to Digital Health Interventions, Law of Attrition (688) Innovations and Technology for Physical Activity Education (974) Mobile Health (mhealth) (3668)

Published on in Vol 13 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/66227, first published .
Boosting Physical Activity Among Individuals With Low Engagement Through Double-Point Incentives in a Community-Based mHealth Intervention: Retrospective Observational Study

Boosting Physical Activity Among Individuals With Low Engagement Through Double-Point Incentives in a Community-Based mHealth Intervention: Retrospective Observational Study

Boosting Physical Activity Among Individuals With Low Engagement Through Double-Point Incentives in a Community-Based mHealth Intervention: Retrospective Observational Study

Authors of this article:

Jungin Joo1, 2, 3 Author Orcid Image ;   Mangyeong Lee1, 2, 4 Author Orcid Image ;   Junghee Yoon4, 5 Author Orcid Image ;   Hyeonjin Cho1, 2 Author Orcid Image ;   Govind Warrier6, 7 Author Orcid Image ;   Johannes Thrul3, 8, 9 Author Orcid Image ;   Juhee Cho1, 2, 4, 10 Author Orcid Image
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Journals

  1. Wu T, Han T, Zhang X, Dai Y, Meng X. A Telemedicine App for Nonrigid Facial Rehabilitation Training Enhanced by Efficient Fully Convolutional Neural Network With Residual Network (EffiFCNN-ResNet) to Improve Accessibility for Patients With Nasopharyngeal Carcinoma Cancer: Randomized Controlled Trial. JMIR mHealth and uHealth 2026;14:e72560 View