Published on in Vol 8, No 7 (2020): July

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/15448, first published .
A Wearable Technology Delivering a Web-Based Diabetes Prevention Program to People at High Risk of Type 2 Diabetes: Randomized Controlled Trial

A Wearable Technology Delivering a Web-Based Diabetes Prevention Program to People at High Risk of Type 2 Diabetes: Randomized Controlled Trial

A Wearable Technology Delivering a Web-Based Diabetes Prevention Program to People at High Risk of Type 2 Diabetes: Randomized Controlled Trial

Journals

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  2. Lam B, Catt M, Cassidy S, Bacardit J, Darke P, Butterfield S, Alshabrawy O, Trenell M, Missier P. Using Wearable Activity Trackers to Predict Type 2 Diabetes: Machine Learning–Based Cross-sectional Study of the UK Biobank Accelerometer Cohort. JMIR Diabetes 2021;6(1):e23364 View
  3. Sun C, Lei Y, Lin Z, Li S, Wang M, Gu J. Effects of self‐care programs on the incidence of diabetes among adults with prediabetes: A systematic review and meta‐analysis of randomised controlled trials. Journal of Clinical Nursing 2023;32(9-10):2193 View
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  6. Luo J, Zhang K, Xu Y, Tao Y, Zhang Q. Effectiveness of Wearable Device-based Intervention on Glycemic Control in Patients with Type 2 Diabetes: A System Review and Meta-Analysis. Journal of Medical Systems 2022;46(1) View
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  8. Nagata T, Aoyagi S, Takahashi M, Nagata M, Mori K. Effects of Feedback From Self-Monitoring Devices on Lifestyle Changes in Workers with Diabetes: 3-Month Randomized Controlled Pilot Trial. JMIR Formative Research 2022;6(8):e23261 View
  9. Jeem Y, Andriani R, Nabila R, Emelia D, Lazuardi L, Koesnanto H. The Use of Mobile Health Interventions for Outcomes among Middle-Aged and Elderly Patients with Prediabetes: A Systematic Review. International Journal of Environmental Research and Public Health 2022;19(20):13638 View
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  12. Liu W, Zhang D, Wang R, Chen J, Zhang J, Tao D, Liu C. Global trends in the burden of chronic kidney disease attributable to type 2 diabetes: An age‐period‐cohort analysis. Diabetes, Obesity and Metabolism 2024;26(2):602 View
  13. Chung H, Tai C, Chang P, Su W, Chien L. The Effectiveness of a Traditional Chinese Medicine–Based Mobile Health App for Individuals With Prediabetes: Randomized Controlled Trial. JMIR mHealth and uHealth 2023;11:e41099 View
  14. Koning C, Pelletier M, Spooner J. The national health service England diabetes prevention program—A narrative review. Journal of Diabetology 2023;14(4):198 View
  15. Jahan E, Almansour R, Ijaz K, Baptista S, Giordan L, Ronto R, Zaman S, O'Hagan E, Laranjo L. Smartphone Applications to Prevent Type 2 Diabetes: A Systematic Review and Meta-Analysis. American Journal of Preventive Medicine 2024;66(6):1060 View
  16. Stowell M, Dobson R, Garner K, Baig M, Nehren N, Whittaker R, Klisic A. Digital interventions for self-management of prediabetes: A scoping review. PLOS ONE 2024;19(5):e0303074 View
  17. Peng P, Shen Y, Xiong H. Wearable monitoring device based on an internet management platform improves metabolic parameters in type 2 diabetes patients: a prospective pilot study. Postgraduate Medicine 2024;136(5):523 View
  18. Eghtedari M, Goodarzi-Khoigani M, Shahshahani M, Javadzade H, Abazari P. Is Web-Based Program Effective on Self-Care Behaviors and Glycated Hemoglobin in Patients with Type 2 Diabetes: A Randomized Controlled Trial. Iranian Journal of Nursing and Midwifery Research 2023;28(6):723 View
  19. Nishi S, Kavanagh M, Ramboanga K, Ayoub-Charette S, Modol S, Dias G, Kendall C, Sievenpiper J, Chiavaroli L. Effect of digital health applications with or without gamification on physical activity and cardiometabolic risk factors: a systematic review and meta-analysis of randomized controlled trials. eClinicalMedicine 2024;76:102798 View