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

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Authors: Wei Sun
Cited by: 0

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 Innovative Human-Technology Interaction Physical Activity and Health

Publication details

Journal / source
Open Science Framework
Publication date
1 January 2026
Language
EN