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

mHealth for Telemedicine and Homecare (871) mHealth for Symptom and Disease Monitoring, Chronic Disease Management (2385) Glucose Tracking and Self-Monitoring of Blood Glucose (243) Diabetes Education and Elearning for Patients (203) Telemedicine for Diabetes (149)

Published on in Vol 13 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/60227, first published .
Elderly Asian woman smiling while using a smartphone in a living room.

Community-Based Intelligent Blood Glucose Management for Older Adults With Type 2 Diabetes Based on the Health Belief Model: Randomized Controlled Trial

Community-Based Intelligent Blood Glucose Management for Older Adults With Type 2 Diabetes Based on the Health Belief Model: Randomized Controlled Trial

Authors of this article:

Anqi Zhang1, 2, 3 Author Orcid Image ;   Jinsong Wang1, 2 Author Orcid Image ;   Xiaojuan Wan2 Author Orcid Image ;   Ziyi Zhang2 Author Orcid Image ;   Shuhan Zhao2 Author Orcid Image ;   Shuo Bai2 Author Orcid Image ;   Yamin Miao2 Author Orcid Image ;   Shuang Yang2 Author Orcid Image ;   Xue Jiang2 Author Orcid Image
Article Authors Cited by (12) Tweetations Metrics

Journals

  1. Song L, Bai H, Pan Y, Zhang L, Luo A, Long Z, Dai L, Liao L. Application of smart healthcare in the continuum of care for type 2 diabetes mellitus: a scoping review protocol. BMJ Open 2025;15(9):e108373 View
  2. Ahadzadeh A, Shangfei J, Jiawen Y, Lee K, Ong F. Construal level theory in digital health: How consideration of future consequences bridges health beliefs and the intention to use fitness apps. DIGITAL HEALTH 2025;11 View
  3. Narindrarangkura P, Dejhansathit S, Khan U, Day M, Boren S, Simoes E, Kim M. Content Validation of an Electronic Health Record–Based Diabetes Self-Management Support Tool for Older Adults With Type 2 Diabetes: Qualitative Study. JMIR Diabetes 2026;11:e83448 View
  4. Li H, Pan W, Chen H, Hou Y, Bu L. Adaptive prediction of long-term health behavior change in older adults using mhealth apps: a random forest approach integrating HBM and TTM. Interactive Learning Environments 2026:1 View
  5. Chen H, Fang C, Gao W, Xu L, Lu H, Zhuo H, Chen X, Wang Y. Beyond prescriptions: an analysis of patient journey, self-management adherence, and unmet needs in type 2 diabetes. BMC Health Services Research 2026;26(1) View
  6. Ekenler Ş, Polat Ü. The effect of distance education on health beliefs, self-efficacy, and healthy lifestyle behaviours of people with diabetes: A randomised controlled trial. Health Education Journal 2026;85(5):537 View
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  8. Zheng X, Tan Y, Wang X, Li Q, Li J, Lan X, Zhang S. A randomized controlled trial of staged cardiac rehabilitation based on the Health Belief Model on kinesiophobia, self-efficacy and activities of daily living in elderly patients with coronary heart disease. Frontiers in Medicine 2026;13 View
  9. Boateng G, Foluke B. Telehealth effectiveness for glycaemic control of older adults with Type 2 diabetes: An integrative review. Diabetes Research and Clinical Practice 2026;239:113447 View
  10. Sastre L, Stroud B, Breinholt R, Fratacangeli A, Elliot S, Turner A, Das B, Lee-Elmore S, Cristiani Y, Buxton J, Rogers B. Evaluation of the 2021–2024 Implementation of the Fresh Start Enhanced Food Is Medicine Intervention Among Rural, Underinsured People With Type 2 Diabetes. Preventing Chronic Disease 2026;23 View
  11. Sun W, Xie D, Hou W, Zhang M, Wang C, Wang Z, Yang H, Xu G, Dai H. Behavior change pathways by which digital wearable devices support exercise self-management in type 2 diabetes: a scoping review with machine learning–assisted text mining. Frontiers in Public Health 2026;14 View
  12. Cheng X, Shi Y. Effect of educational program for patients with type 2 diabetes: a systematic review and meta-analysis of randomized controlled trials. Frontiers in Medicine 2026;13 View