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
  12. Blanchard J, Ahmed S, Clark B, Sanchez Cotto L, Rangasamy S, Thompson B. Design and Testing of a Smartphone Application for Real-Time Tracking of CSII and CGM Site Rotation Compliance in Patients With Type 1 Diabetes. Journal of Diabetes Science and Technology 2022:193229682211451 View
  13. Augustus E, Haynes E, Guell C, Morrissey K, Murphy M, Halliday C, Jia L, Iese V, Anderson S, Unwin N. The Impact of Nutrition-Based Interventions on Nutritional Status and Metabolic Health in Small Island Developing States: A Systematic Review and Narrative Synthesis. Nutrients 2022;14(17):3529 View
  14. Salas-Groves E, Galyean S, Alcorn M, Childress A. Behavior Change Effectiveness Using Nutrition Apps in People With Chronic Diseases: Scoping Review. JMIR mHealth and uHealth 2023;11:e41235 View
  15. Lim W, Fook-Chong S, Lim J, Gan W. The Outcomes of App-Based Health Coaching to Improve Dietary Behavior Among Nurses in a Tertiary Hospital: Pilot Intervention Study. JMIR Nursing 2022;5(1):e36811 View
  16. Oakley-Girvan I, Yunis R, Longmire M, Ouillon J. What Works Best to Engage Participants in Mobile App Interventions and e-Health: A Scoping Review. Telemedicine and e-Health 2021 View
  17. Jiménez‐Muñoz L, Gutiérrez‐Rojas L, Porras‐Segovia A, Courtet P, Baca‐García E. Mobile applications for the management of chronic physical conditions: a systematic review. Internal Medicine Journal 2022;52(1):21 View
  18. Strombotne K, Lum J, Ndugga N, Utech A, Pizer S, Frakt A, Conlin P. Effectiveness of a ketogenic diet and virtual coaching intervention for patients with diabetes: A difference‐in‐differences analysis. Diabetes, Obesity and Metabolism 2021;23(12):2643 View
  19. Stephen D, Nordin A, Nilsson J, Persenius M. Using mHealth applications for self-care – An integrative review on perceptions among adults with type 1 diabetes. BMC Endocrine Disorders 2022;22(1) View
  20. Summers C, Tobin S, Unwin D. Evaluation of the Low Carb Program Digital Intervention for the Self-Management of Type 2 Diabetes and Prediabetes in an NHS England General Practice: Single-Arm Prospective Study. JMIR Diabetes 2021;6(3):e25751 View
  21. María Gómez A, Cristina Henao D, León Vargas F, Mauricio Muñoz O, David Lucero O, García Jaramillo M, Aldea A, Martin C, Miguel Rodríguez Hortúa L, Patricia Rubio Reyes C, Alejandra Páez Hortúa M, Rondón M. Efficacy of the mHealth application in patients with type 2 diabetes transitioning from inpatient to outpatient care: A randomized controlled clinical trial. Diabetes Research and Clinical Practice 2022;189:109948 View
  22. ÖCAL P. The use of mobile health applications in empowering self-management of type 2 diabetes: a literature review. The European Research Journal 2024;10(1):127 View
  23. Barker M, Chauhan R, Davies M, Brough C, Northern A, Stribling B, Schreder S, Khunti K, Hadjiconstantinou M. User Retention and Engagement in the Digital-Based Diabetes Education and Self-Management for Ongoing and Newly Diagnosed (myDESMOND) Program: Descriptive Longitudinal Study. JMIR Diabetes 2023;8:e44943 View
  24. Mannoubi C, Kairy D, Menezes K, Desroches S, Layani G, Vachon B. The Key Digital Tool Features of Complex Telehealth Interventions Used for Type 2 Diabetes Self-Management and Monitoring With Health Professional Involvement: Scoping Review. JMIR Medical Informatics 2024;12:e46699 View
  25. Strombotne K, Lum J, Pizer S, Figueroa S, Frakt A, Conlin P. Clinical effectiveness and cost‐impact after 2 years of a ketogenic diet and virtual coaching intervention for patients with diabetes. Diabetes, Obesity and Metabolism 2024;26(3):1016 View
  26. Rouleau G, Wu K, Ramamoorthi K, Boxall C, Liu R, Maloney S, Zelmer J, Scott T, Larsen D, Wijeysundera H, Ziegler D, Bhatia S, Kishimoto V, Steele Gray C, Desveaux L. Mapping theories, models and frameworks to implement or evaluate digital health interventions: A scoping review. (Preprint). Journal of Medical Internet Research 2023 View
  27. Handa T, Onoue T, Kobayashi T, Maeda R, Mizutani K, Yamagami A, Kinoshita T, Yasuda Y, Iwama S, Miyata T, Sugiyama M, Takagi H, Hagiwara D, Suga H, Banno R, Azuma Y, Kasai T, Yoshioka S, Kuwatsuka Y, Arima H. Effects of Digitization of Self-Monitoring of Blood Glucose Records Using a Mobile App and the Cloud System on Outpatient Management of Diabetes: Single-Armed Prospective Study. JMIR Diabetes 2024;9:e48019 View
  28. Mendoza K, Villalobos-Daniel V, Jáuregui A, Valero-Morales I, Hernández-Alcaraz C, Zacarías-Alejandro N, Alarcon-Guevara R, Barquera S. Development of a crowdsourcing- and gamification-based mobile application to collect epidemiological information and promote healthy lifestyles in Mexico. Scientific Reports 2024;14(1) View