Published on in Vol 7, No 5 (2019): May

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/12965, first published .
A Mobile Lifestyle Management Program (GlycoLeap) for People With Type 2 Diabetes: Single-Arm Feasibility Study

A Mobile Lifestyle Management Program (GlycoLeap) for People With Type 2 Diabetes: Single-Arm Feasibility Study

A Mobile Lifestyle Management Program (GlycoLeap) for People With Type 2 Diabetes: Single-Arm Feasibility Study

Journals

  1. Tay W, Kaur B, Quek R, Lim J, Henry C. Current Developments in Digital Quantitative Volume Estimation for the Optimisation of Dietary Assessment. Nutrients 2020;12(4):1167 View
  2. Adu M, Malabu U, Malau-Aduli A, Drovandi A, Malau-Aduli B. User Retention and Engagement With a Mobile App Intervention to Support Self-Management in Australians With Type 1 or Type 2 Diabetes (My Care Hub): Mixed Methods Study. JMIR mHealth and uHealth 2020;8(6):e17802 View
  3. Lim R, Gardner D, Bee Y, Cheung Y, Bairavi J, Gandhi M, Goh S, Ho E, Lin X, Tan N, Tay T, Finkelstein E. TRIal to slow the Progression Of Diabetes (TRIPOD): study protocol for a randomized controlled trial using wireless technology and incentives. Trials 2019;20(1) View
  4. Gimbel R, Rennert L, Crawford P, Little J, Truong K, Williams J, Griffin S, Shi L, Chen L, Zhang L, Moss J, Marshall R, Edwards K, Crawford K, Hing M, Schmeltz A, Lumsden B, Ashby M, Haas E, Palazzo K. Enhancing Patient Activation and Self-Management Activities in Patients With Type 2 Diabetes Using the US Department of Defense Mobile Health Care Environment: Feasibility Study. Journal of Medical Internet Research 2020;22(5):e17968 View
  5. Klösch M, Klösch C, Kundt F, van der Zee-Neuen A, Dieplinger A. eHealth systems for the optimised care of patients with type 2 diabetes. British Journal of Nursing 2020;29(5):274 View
  6. Yang Q, Hatch D, Crowley M, Lewinski A, Vaughn J, Steinberg D, Vorderstrasse A, Jiang M, Shaw R. Digital Phenotyping Self-Monitoring Behaviors for Individuals With Type 2 Diabetes Mellitus: Observational Study Using Latent Class Growth Analysis. JMIR mHealth and uHealth 2020;8(6):e17730 View
  7. Spaulding E, Marvel F, Piasecki R, Martin S, Allen J. User Engagement With Smartphone Apps and Cardiovascular Disease Risk Factor Outcomes: Systematic Review. JMIR Cardio 2021;5(1):e18834 View
  8. Robert C, Erdt M, Lee J, Cao Y, Naharudin N, Theng Y. Effectiveness of eHealth Nutritional Interventions for Middle-Aged and Older Adults: Systematic Review and Meta-analysis. Journal of Medical Internet Research 2021;23(5):e15649 View
  9. Ang I, Tan K, Tan C, Tan C, Kwek J, Tay J, Toh S. A Personalized Mobile Health Program for Type 2 Diabetes During the COVID-19 Pandemic: Single-Group Pre–Post Study. JMIR Diabetes 2021;6(3):e25820 View
  10. Vázquez-de Sebastián J, Ciudin A, Castellano-Tejedor C. Analysis of Effectiveness and Psychological Techniques Implemented in mHealth Solutions for Middle-Aged and Elderly Adults with Type 2 Diabetes: A Narrative Review of the Literature. Journal of Clinical Medicine 2021;10(12):2701 View
  11. Surendran S, Lim C, Koh G, Yew T, Tai E, Foong P. Women’s Usage Behavior and Perceived Usefulness with Using a Mobile Health Application for Gestational Diabetes Mellitus: Mixed-Methods Study. International Journal of Environmental Research and Public Health 2021;18(12):6670 View