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

  1. van der Linden J, Welsh J, Hirsch I, Garg S. Real-Time Continuous Glucose Monitoring During the Coronavirus Disease 2019 Pandemic and Its Impact on Time in Range. Diabetes Technology & Therapeutics 2021;23(S1):S-1 View
  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
  4. Ahmad E, Lim S, Lamptey R, Webb D, Davies M. Type 2 diabetes. The Lancet 2022;400(10365):1803 View
  5. Davies S, Hu Y, Blyth J, Jiang N, Yetisen A. Reusable Dual‐Photopolymerized Holographic Glucose Sensors. Advanced Functional Materials 2023;33(18) View
  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
  7. Kruse C, Mileski M, Heinemann K, Huynh H, Leafblad A, Moreno E. Analyzing the Effectiveness of mHealth to Manage Diabetes Mellitus Among Adults Over 50: A Systematic Literature Review. Journal of Multidisciplinary Healthcare 2023;Volume 16:101 View
  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
  10. Michalopoulou M, Ferrey A, Harmer G, Goddard L, Kebbe M, Theodoulou A, Jebb S, Aveyard P. Effectiveness of Motivational Interviewing in Managing Overweight and Obesity. Annals of Internal Medicine 2022;175(6):838 View
  11. Han S, Luo Y, Liu B, Guo T, Qin D, Luo F. Dietary flavonoids prevent diabetes through epigenetic regulation: advance and challenge. Critical Reviews in Food Science and Nutrition 2023;63(33):11925 View
  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 View