Behavior Change Pathways of Digital Wearable Devices in Supporting Exercise Self-Management Among Patients With Type 2 Diabetes: A Scoping Review Based on Machine Learning-Assisted Text Mining
Abstract
This review aims to systematically review and analyze the behavior change pathways of digital wearable devices in supporting exercise self‑management among patients with type 2 diabetes. In addition, it uses machine learning‑assisted text mining methods to identify key factors and their application models, thereby providing theoretical support and empirical evidence for subsequent intervention design and digital health management practice.
Fields of Study & Subjects
Mobile Health and mHealth Applications
Diabetes Management and Education
Innovative Human-Technology Interaction
Publication details
- Publication date
- 1 January 2026
- Language
- EN
- Document type
- Preprint