Published on in Vol 4, No 3 (2019): Jul-Sep

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/13904, first published .
A Digital Diabetes Prevention Program (Transform) for Adults With Prediabetes: Secondary Analysis

A Digital Diabetes Prevention Program (Transform) for Adults With Prediabetes: Secondary Analysis

A Digital Diabetes Prevention Program (Transform) for Adults With Prediabetes: Secondary Analysis

Journals

  1. Painter S, Lu W, Schneider J, James R, Shah B. Drivers of weight loss in a CDC-recognized digital diabetes prevention program. BMJ Open Diabetes Research & Care 2020;8(1):e001132 View
  2. Lawrence K, Rodriguez D, Feldthouse D, Shelley D, Yu J, Belli H, Gonzalez J, Tasneem S, Fontaine J, Groom L, Luu S, Wu Y, McTigue K, Rockette-Wagner B, Mann D. Effectiveness of an Integrated Engagement Support System to Facilitate Patient Use of Digital Diabetes Prevention Programs: Protocol for a Randomized Controlled Trial. JMIR Research Protocols 2021;10(2):e26750 View
  3. Lee J, Kim H, Kim J. Out-of-Hospital Data: Patient Generated Health Data. The Journal of Korean Diabetes 2020;21(3):149 View
  4. Lee U, Jung G, Ma E, Kim J, Kim H, Alikhanov J, Noh Y, Kim H. Toward Data-Driven Digital Therapeutics Analytics: Literature Review and Research Directions. IEEE/CAA Journal of Automatica Sinica 2023;10(1):42 View
  5. Vasselli J, Juray S, Trasino S. Success and failures of telehealth during COVID‐19 should inform digital applications to combat obesity. Obesity Science & Practice 2022;8(2):254 View
  6. Lavikainen P, Mattila E, Absetz P, Harjumaa M, Lindström J, Järvelä-Reijonen E, Aittola K, Männikkö R, Tilles-Tirkkonen T, Lintu N, Lakka T, van Gils M, Pihlajamäki J, Martikainen J. Digitally Supported Lifestyle Intervention to Prevent Type 2 Diabetes Through Healthy Habits: Secondary Analysis of Long-Term User Engagement Trajectories in a Randomized Controlled Trial. Journal of Medical Internet Research 2022;24(2):e31530 View
  7. Emerson J, Schumacher L, Bond D, Thomas J, Lillis J. Physical activity changes during an automated online weight loss program. Journal of Behavioral Medicine 2023;46(4):680 View
  8. Rodriguez D, Lawrence K, Luu S, Yu J, Feldthouse D, Gonzalez J, Mann D. Development of a computer-aided text message platform for user engagement with a digital Diabetes Prevention Program: a case study. Journal of the American Medical Informatics Association 2021;29(1):155 View
  9. Batten R, Alwashmi M, Mugford G, Nuccio M, Besner A, Gao Z. A 12-Month Follow-Up of the Effects of a Digital Diabetes Prevention Program (VP Transform for Prediabetes) on Weight and Physical Activity Among Adults With Prediabetes: Secondary Analysis. JMIR Diabetes 2022;7(1):e23243 View
  10. LaPointe S, Merrill M. Weight loss and lifestyle change among high-risk individuals enrolled in a digital diabetes prevention program: A longitudinal study of private and public health insurance members in Western New York. Preventive Medicine Reports 2023;36:102507 View
  11. Khalaf S, Waheed A, Ali N, AlNajem N, Abdulrahman R, Hasan Z. Assessment of Type 2 Diabetes Awareness and Knowledge in the Non-medical Bahraini Population. Cureus 2023 View
  12. 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
  13. Fallah Z, Vasmehjani A, Aghaei S, Amiri M, Raeisi-Dekordi H, Moghtaderi F, Zimorovat A, Yazd E, Madadizadeh F, Khayyatzadeh S, Salehi-Abargouei A. Cardiometabolic risk factors are affected by interaction between FADS1 rs174556 variant and dietary vegetable oils in patients with diabetes: a randomized controlled trial. Scientific Reports 2024;14(1) View

Books/Policy Documents

  1. Domínguez-Miranda S, Rodríguez-Aguilar R. Computer Science and Engineering in Health Services. View