This paper is in the following e-collection/theme issue:

mHealth for Wellness, Behavior Change and Prevention (2342) Mobile Health (mhealth) (2007) Apps, Mobile, Wearables for Diabetes (248) Diabetes Prevention (67)

Published on in Vol 8 , No 7 (2020) :July

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/17842, first published .
Mobile Delivery of the Diabetes Prevention Program in People With Prediabetes: Randomized Controlled Trial

Mobile Delivery of the Diabetes Prevention Program in People With Prediabetes: Randomized Controlled Trial

Mobile Delivery of the Diabetes Prevention Program in People With Prediabetes: Randomized Controlled Trial

Authors of this article:

Tatiana Toro-Ramos 1 Author Orcid Image ;   Andreas Michaelides 1 Author Orcid Image ;   Maria Anton 2 Author Orcid Image ;   Zulekha Karim 2 Author Orcid Image ;   Leah Kang-Oh 2 Author Orcid Image ;   Charalambos Argyrou 2 Author Orcid Image ;   Elisavet Loukaidou 2 Author Orcid Image ;   Marina M Charitou 2 Author Orcid Image ;   Wilson Sze 2 Author Orcid Image ;   Joshua D Miller 2 Author Orcid Image
Article Authors Cited by (33) Tweetations (13) Metrics

Journals

  1. Mitchell E, Yang Q, Behr H, Ho A, DeLuca L, May C, Michaelides A. Psychosocial Characteristics by Weight Loss and Engagement in a Digital Intervention Supporting Self-Management of Weight. International Journal of Environmental Research and Public Health 2021;18(4):1712 View
  2. Faust A, Stine J. Time to Step It Up: Mobile Health Intervention for Lifestyle Modification in Patients with Nonalcoholic Fatty Liver Disease. Digestive Diseases and Sciences 2022;67(2):403 View
  3. Svendsen M, Tiedemann S, Andersen K. Pros and cons of eHealth: A systematic review of the literature and observations in Denmark. SAGE Open Medicine 2021;9:205031212110161 View
  4. Mitchell E, Yang Q, Ho A, Behr H, May C, DeLuca L, Michaelides A. Self-Reported Nutritional Factors Are Associated with Weight Loss at 18 Months in a Self-Managed Commercial Program with Food Categorization System: Observational Study. Nutrients 2021;13(5):1733 View
  5. Yang Q, Mitchell E, Ho A, DeLuca L, Behr H, Michaelides A. Cross-National Outcomes of a Digital Weight Loss Intervention in the United States, Canada, United Kingdom and Ireland, and Australia and New Zealand: A Retrospective Analysis. Frontiers in Public Health 2021;9 View
  6. Weber M, Hassan S, Quarells R, Shah M. Prevention of Type 2 Diabetes. Endocrinology and Metabolism Clinics of North America 2021;50(3):387 View
  7. Yang K, Oh D, Noh J, Yoon H, Sun J, Kim H, Zo J, Shim Y, Ko H, Lee J, Kim Y. Feasibility of an Interactive Health Coaching Mobile App to Prevent Malnutrition and Muscle Loss in Esophageal Cancer Patients Receiving Neoadjuvant Concurrent Chemoradiotherapy: Prospective Pilot Study. Journal of Medical Internet Research 2021;23(8):e28695 View
  8. Petroni M, Brodosi L, Marchignoli F, Sasdelli A, Caraceni P, Marchesini G, Ravaioli F. Nutrition in Patients with Type 2 Diabetes: Present Knowledge and Remaining Challenges. Nutrients 2021;13(8):2748 View
  9. Ho A, Mitchell E, Lee J, Steptoe A, Behr H, May C, Michaelides A. Predictive capacity of COVID-19-related risk beliefs on weight management behaviors on a commercial weight loss program and speed of COVID-19 vaccination uptake: prospective cohort study. BMC Public Health 2022;22(1) View
  10. Keller R, Hartmann S, Teepe G, Lohse K, Alattas A, Tudor Car L, Müller-Riemenschneider F, von Wangenheim F, Mair J, Kowatsch T. Digital Behavior Change Interventions for the Prevention and Management of Type 2 Diabetes: Systematic Market Analysis. Journal of Medical Internet Research 2022;24(1):e33348 View
  11. Michaud T, Almeida F, Porter G, Kittel C, Schwab R, Brito F, Wilson K, Katula J, Castro Sweet C, Estabrooks P, Dressler E. Effects of a digital diabetes prevention program on cardiovascular risk among individuals with prediabetes. Primary Care Diabetes 2023;17(2):148 View
  12. May C, Ho A, Yang Q, McCallum M, Iyengar N, Comander A, Mitchell E, Michaelides A. Comparing Outcomes of a Digital Commercial Weight Loss Program in Adult Cancer Survivors and Matched Controls with Overweight or Obesity: Retrospective Analysis. Nutrients 2021;13(9):2908 View
  13. McCallum M, Ho A, May C, Behr H, Mitchell E, Michealides A. Body Positivity and Self-Compassion on a Publicly Available Behavior Change Weight Management Program. International Journal of Environmental Research and Public Health 2021;18(24):13358 View
  14. Barengo N, Diaz Valencia P, Apolina L, Estrada Cruz N, Fernández Garate J, Correa González R, Cinco Gonzalez C, Gómez Rodriguez J, González N, Arellano Flores M, Ledesma Muñoz M, González Sotelo D, Davila Maldonado O, Gomez Garcia J, Laureano Hernandez F, Zarazua Jimenez J, Pulido Garcia B, Rodriguez Vazquez H, Ramirez Dorantes A, Gonzalez Fierro L, Hernandez Hernandez J, Zenil Perez J. Mobile Health Technology in the Primary Prevention of Type 2 Diabetes: a Systematic Review. Current Diabetes Reports 2022;22(1):1 View
  15. Victoria‐Castro A, Martin M, Yamamoto Y, Ahmad T, Arora T, Calderon F, Desai N, Gerber B, Lee K, Jacoby D, Melchinger H, Nguyen A, Shaw M, Simonov M, Williams A, Weinstein J, Wilson F. Pragmatic randomized trial assessing the impact of digital health technology on quality of life in patients with heart failure: Design, rationale and implementation. Clinical Cardiology 2022;45(8):839 View
  16. Ho A, Behr H, Mitchell E, Yang Q, Lee J, May C, Michaelides A, König L. Goal language is associated with attrition and weight loss on a digital program: Observational study. PLOS Digital Health 2022;1(6):e0000050 View
  17. Graham S, Pitter V, Hori J, Stein N, Branch O. Weight loss in a digital app-based diabetes prevention program powered by artificial intelligence. DIGITAL HEALTH 2022;8:205520762211306 View
  18. Behr H, Ho A, Yang Q, Mitchell E, DeLuca L, Greenstein N, Michaelides A. Men’s Weight Loss Outcomes, Behaviors, and Perceptions in a Self-Directed Commercial Mobile Program: Retrospective Analysis. Health Education & Behavior 2023;50(1):70 View
  19. Bootwong P, Intarut N. The Effects of Text Messages for Promoting Physical Activities in Prediabetes: A Randomized Controlled Trial. Telemedicine and e-Health 2021 View
  20. 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
  21. Catley D, Puoane T, Tsolekile L, Resnicow K, Fleming K, Hurley E, Smyth J, Materia F, Lambert E, Vitolins M, Levitt N, Goggin K, Jia W. Evaluation of an adapted version of the Diabetes Prevention Program for low- and middle-income countries: A cluster randomized trial to evaluate “Lifestyle Africa” in South Africa. PLOS Medicine 2022;19(4):e1003964 View
  22. 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
  23. Nisa H, Barsbay F. Digital Health Interventions to Improve Cardiometabolic Risk Profile among Adults with Obesity and Chronic Diseases: A Systematic Review. Nurse Media Journal of Nursing 2022;12(1):133 View
  24. Islam S, Elaiho C, Arniella G, Rivera S, Vangeepuram N. A Pilot Study to Examine the Feasibility and Acceptability of a Virtual Adaptation of an In-Person Adolescent Diabetes Prevention Program. International Journal of Environmental Research and Public Health 2022;19(19):12286 View
  25. Kim H, Yoon H, Ryu K, Kim Y, Kim S, Oh J, Wie G, Ko H, Lee J, Kim Y, Cho H, Eom B, Abdelbasset W. An early interactive human coaching via a mobile application to improve quality of life in patients who underwent gastrectomy for gastric cancer: Design and protocol of a randomized controlled trial. PLOS ONE 2022;17(12):e0278370 View
  26. Yang Y, Boulton E, Todd C. Measurement of Adherence to mHealth Physical Activity Interventions and Exploration of the Factors That Affect the Adherence: Scoping Review and Proposed Framework. Journal of Medical Internet Research 2022;24(6):e30817 View
  27. Amagai S, Pila S, Kaat A, Nowinski C, Gershon R. Challenges in Participant Engagement and Retention Using Mobile Health Apps: Literature Review. Journal of Medical Internet Research 2022;24(4):e35120 View
  28. 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
  29. Villegas V, Shah A, Manson J, Tobias D. Prevention of type 2 diabetes through remotely administered lifestyle programs: A systematic review. Contemporary Clinical Trials 2022;119:106817 View
  30. Ufholz K, Werner J. The Efficacy of Mobile Applications for Weight Loss. Current Cardiovascular Risk Reports 2023;17(4):83 View
  31. Stine J, Rivas G, Hummer B, Duarte-Rojo A, May C, Geyer N, Chinchilli V, Conroy D, Mitchell E, McCallum M, Michealides A, Schmitz K. Mobile health lifestyle intervention program leads to clinically significant loss of body weight in patients with NASH. Hepatology Communications 2023;7(4) View
  32. Michaud T, Wilson K, Katula J, You W, Estabrooks P. Cost and cost-effectiveness analysis of a digital diabetes prevention program: results from the PREDICTS trial. Translational Behavioral Medicine 2023 View
  33. May C, Cox‐Martin M, Ho A, McCallum M, Chan C, Blessing K, Behr H, Blanco P, Mitchell E, Michaelides A. Weight loss maintenance after a digital commercial behavior change program (Noom Weight): Observational cross‐sectional survey study. Obesity Science & Practice 2023 View