Published on in Vol 7, No 1 (2019): January

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/11267, first published .
A Mobile Phone-Based Program to Promote Healthy Behaviors Among Adults With Prediabetes Who Declined Participation in Free Diabetes Prevention Programs: Mixed-Methods Pilot Randomized Controlled Trial

A Mobile Phone-Based Program to Promote Healthy Behaviors Among Adults With Prediabetes Who Declined Participation in Free Diabetes Prevention Programs: Mixed-Methods Pilot Randomized Controlled Trial

A Mobile Phone-Based Program to Promote Healthy Behaviors Among Adults With Prediabetes Who Declined Participation in Free Diabetes Prevention Programs: Mixed-Methods Pilot Randomized Controlled Trial

Journals

  1. Nhim K, Gruss S, Porterfield D, Jacobs S, Elkins W, Luman E, Van Aacken S, Schumacher P, Albright A. Using a RE-AIM framework to identify promising practices in National Diabetes Prevention Program implementation. Implementation Science 2019;14(1) View
  2. Toro-Ramos T, Michaelides A, Anton M, Karim Z, Kang-Oh L, Argyrou C, Loukaidou E, Charitou M, Sze W, Miller J. Mobile Delivery of the Diabetes Prevention Program in People With Prediabetes: Randomized Controlled Trial. JMIR mHealth and uHealth 2020;8(7):e17842 View
  3. Nittas V. Developing mobile self-tracking for chronic disease prevention: Why listening to users matters?. International Journal of Public Health 2020;65(3):323 View
  4. Lau N, O'Daffer A, Colt S, Yi-Frazier J, Palermo T, McCauley E, Rosenberg A. Android and iPhone Mobile Apps for Psychosocial Wellness and Stress Management: Systematic Search in App Stores and Literature Review. JMIR mHealth and uHealth 2020;8(5):e17798 View
  5. Kaufman N, Mel E. Using Digital Health Technology to Prevent and Treat Diabetes. Diabetes Technology & Therapeutics 2020;22(S1):S-63 View
  6. Malipatil N, Fachim H, Siddals K, Geary B, Wark G, Porter N, Anderson S, Donn R, Harvie M, Whetton A, Gibson M, Heald A. Data Independent Acquisition Mass Spectrometry Can Identify Circulating Proteins That Predict Future Weight Loss with a Diet and Exercise Programme. Journal of Clinical Medicine 2019;8(2):141 View
  7. Ringeval M, Wagner G, Denford J, Paré G, Kitsiou S. Fitbit-Based Interventions for Healthy Lifestyle Outcomes: Systematic Review and Meta-Analysis. Journal of Medical Internet Research 2020;22(10):e23954 View
  8. Xu Z, Geng J, Zhang S, Zhang K, Yang L, Li J, Li J. A Mobile-Based Intervention for Dietary Behavior and Physical Activity Change in Individuals at High Risk for Type 2 Diabetes Mellitus: Randomized Controlled Trial. JMIR mHealth and uHealth 2020;8(11):e19869 View