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

mHealth for Wellness, Behavior Change and Prevention (3391) Prevention and Health Promotion (1428) Web-based and Mobile Health Interventions (4134) Innovations and Technology for Physical Activity Education (953) Formative Evaluation of Digital Health Interventions (3359) Focus Groups and Qualitative Research for Human Factors Research (1274)

Published on in Vol 12 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/59610, first published .
Influencing Factors and Implementation Pathways of Adherence Behavior in Intelligent Personalized Exercise Prescription: Qualitative Study

Influencing Factors and Implementation Pathways of Adherence Behavior in Intelligent Personalized Exercise Prescription: Qualitative Study

Influencing Factors and Implementation Pathways of Adherence Behavior in Intelligent Personalized Exercise Prescription: Qualitative Study

Authors of this article:

Xuejie Xu1 Author Orcid Image ;   Guoli Zhang1 Author Orcid Image ;   Yuxin Xia1 Author Orcid Image ;   Hui Xie1 Author Orcid Image ;   Zenghui Ding2 Author Orcid Image ;   Hongyu Wang3 Author Orcid Image ;   Zuchang Ma2 Author Orcid Image ;   Ting Sun1, 2 Author Orcid Image
Article Authors Cited by (9) Tweetations Metrics

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  2. Imboden M. Knowing Well, Being Well: well-being born of understanding: Access to GLP-1s: Where Do Employers Fit in?. American Journal of Health Promotion 2025;39(5):828 View
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  6. Chai J, Liang Y, Zhang X, Lu Y. Understanding exercise persistence through fitness app engagement: an affordance actualization theory perspective. Aslib Journal of Information Management 2025:1 View
  7. Zhang G, Xia Y, Li X, Zhang Y, Xu X, Sun T. A Gamification mHealth Intervention to Enhance Adherence to Personalized Exercise for Older Adults with Chronic Diseases: A Randomized Controlled Trial Protocol. Patient Preference and Adherence 2025;Volume 19:3145 View
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  9. Gao C, Wang R, Zhang J, Han L, Zhou H. Identifying patient profiles based on protection motivation theory to predict exercise adherence in patients with lumbar disc herniation: a latent profile analysis. BMC Musculoskeletal Disorders 2026 View