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

Digital Health Reviews (1742) Diabetes Prevention (121) Diabetes (265) Prevention and Health Promotion (1385) Web-based and Mobile Health Interventions (4050) Health Coaching for Diabetes Patients (176) Telemedicine for Diabetes (116) Diabetes Self-Management (595) Diabetes Education and Elearning for Patients (153) mHealth for Symptom and Disease Monitoring, Chronic Disease Management (1745)

Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/63975, first published .
Effectiveness of Different Intervention Modes in Lifestyle Intervention for the Prevention of Type 2 Diabetes and the Reversion to Normoglycemia in Adults With Prediabetes: Systematic Review and Meta-Analysis of Randomized Controlled Trials

Effectiveness of Different Intervention Modes in Lifestyle Intervention for the Prevention of Type 2 Diabetes and the Reversion to Normoglycemia in Adults With Prediabetes: Systematic Review and Meta-Analysis of Randomized Controlled Trials

Effectiveness of Different Intervention Modes in Lifestyle Intervention for the Prevention of Type 2 Diabetes and the Reversion to Normoglycemia in Adults With Prediabetes: Systematic Review and Meta-Analysis of Randomized Controlled Trials

Authors of this article:

Yachen Wang1 Author Orcid Image ;   Xin Chai1 Author Orcid Image ;   Yueqing Wang1 Author Orcid Image ;   Xuejun Yin1, 2 Author Orcid Image ;   Xinying Huang1, 3 Author Orcid Image ;   Qiuhong Gong4 Author Orcid Image ;   Juan Zhang1 Author Orcid Image ;   Ruitai Shao1 Author Orcid Image ;   Guangwei Li1 Author Orcid Image
Article Authors Cited by (7) Tweetations Metrics

Journals

  1. Dansinger M, Gleason J, Maddalena J, Asztalos B, Diffenderfer M. Lifestyle Modification in Prediabetes and Diabetes: A Large Population Analysis. Nutrients 2025;17(8):1333 View
  2. He J, Chu N, Wan H, Ling J, Xue Y, Leung K, Yang A, Shen J, Chow E. Use of technology in prediabetes and precision prevention. Journal of Diabetes Investigation 2025;16(7):1217 View
  3. Zhang Y, Zhang H, Wang D, Li N, Lv H, Zhang G. Development of a 5-Year Risk Prediction Model for Transition From Prediabetes to Diabetes Using Machine Learning: Retrospective Cohort Study. Journal of Medical Internet Research 2025;27:e73190 View
  4. Mira-Martínez S, Malih N, Angullo-Martínez E, Zamanillo-Campos R, Yañez A, Bennasar-Veny M, Gómez-Juanes R, Konieczna J, Jiménez R, Serrano-Ripoll M, Fiol-deRoque M, Leiva A, Galmes-Panades A, Miralles-Xamena J, Vidal-Thomàs M, Gómez-Cobo C, Gervilla E, Oña-Gil J, Ricci-Cabello I. A Multifaceted Digital Intervention for the Prevention of Type 2 Diabetes Mellitus in Primary Care (PREDIABETEXT): Cluster Randomized Trial. Journal of Medical Internet Research 2025;27:e70981 View
  5. Mathioudakis N, Lalani B, Abusamaan M, Alderfer M, Alver D, Dobs A, Kane B, McGready J, Riekert K, Ringham B, Shehadeh A, Vandi F, Wanigatunga A, Zade D, Maruthur N, Mathioudakis N, Ballreich J, Maruthur N, Wanigatunga A, Marrero P, Schiller A, Alderfer M, Wang N, Martin S, Benjamin-Neelon S. An AI-Powered Lifestyle Intervention vs Human Coaching in the Diabetes Prevention Program. JAMA 2025;334(23):2079 View
  6. Chadwick J, Jaswal N, Surya J, Sivamani C, Ramesan V, Saligram N. Artificial Intelligence–Enabled Mobile Health Intervention (mDiabetes) to Reduce Diabetes Risk Behaviors in Rural India: Quasi-Experimental Pre-Post Study. Journal of Medical Internet Research 2025;27:e79283 View
  7. Farley B, Radetich E, DAlessandro J, Bulaj G. Metformin-Enhanced Digital Therapeutics for the Affordable Primary Prevention of Diabetes and Cardiovascular Diseases: Advancing Low-Cost Solutions for Lifestyle-Related Chronic Disorders. Healthcare 2025;13(24):3220 View