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

mHealth for Wellness, Behavior Change and Prevention (2728) Health Coaching for Diabetes Patients (142) Apps, Mobile, Wearables for Diabetes (288)

Published on in Vol 6, No 5 (2018): May

Usefulness of a Novel Mobile Diabetes Prevention Program Delivery Platform With Human Coaching: 65-Week Observational Follow-Up

Usefulness of a Novel Mobile Diabetes Prevention Program Delivery Platform With Human Coaching: 65-Week Observational Follow-Up

Usefulness of a Novel Mobile Diabetes Prevention Program Delivery Platform With Human Coaching: 65-Week Observational Follow-Up

Authors of this article:

Andreas Michaelides1 Author Orcid Image ;   Jennifer Major2 Author Orcid Image ;   Edmund Pienkosz Jr3 Author Orcid Image ;   Meghan Wood3 Author Orcid Image ;   Youngin Kim4 Author Orcid Image ;   Tatiana Toro-Ramos1 Author Orcid Image
Article Authors Cited by (45) Tweetations (11) Metrics

Journals

  1. . 3. Prevention or Delay of Type 2 Diabetes: Standards of Medical Care in Diabetes—2020. Diabetes Care 2020;43(Supplement_1):S32 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. Bott N, Kumar S, Krebs C, Glenn J, Madero E, Juusola J. A Remote Intervention to Prevent or Delay Cognitive Impairment in Older Adults: Design, Recruitment, and Baseline Characteristics of the Virtual Cognitive Health (VC Health) Study. JMIR Research Protocols 2018;7(8):e11368 View
  4. Kim M, Kim Y, Go Y, Lee S, Na M, Lee Y, Choi S, Choi H. Multidimensional Cognitive Behavioral Therapy for Obesity Applied by Psychologists Using a Digital Platform: Open-Label Randomized Controlled Trial. JMIR mHealth and uHealth 2020;8(4):e14817 View
  5. DeLuca L, Toro-Ramos T, Michaelides A, Seng E, Swencionis C. Relationship Between Age and Weight Loss in Noom: Quasi-Experimental Study. JMIR Diabetes 2020;5(2):e18363 View
  6. Weerahandi H, Paul S, Quintiliani L, Chokshi S, Mann D. A Mobile Health Coaching Intervention for Controlling Hypertension: Single-Arm Pilot Pre-Post Study. JMIR Formative Research 2020;4(5):e13989 View
  7. Ramchandani N. Virtual Coaching to Enhance Diabetes Care. Diabetes Technology & Therapeutics 2019;21(S2):S2-48 View
  8. Trolle Lagerros Y, Dahlgren A, Sjöblom L, Bonn S. Digital Support for Healthier Eating Habits Among Patients With Type 2 Diabetes: Protocol for a Randomized Clinical Trial Within Primary Care (HAPPY Trial). JMIR Research Protocols 2020;9(11):e24422 View
  9. Gershkowitz B, Hillert C, Crotty B. Digital Coaching Strategies to Facilitate Behavioral Change in Type 2 Diabetes: A Systematic Review. The Journal of Clinical Endocrinology & Metabolism 2021;106(4):e1513 View
  10. Toro-Ramos T, Heaner M, Yang Q, DeLuca L, Behr H, Reynolds K, Kim Y, Michaelides A. Postpartum Weight Retention: A Retrospective Data Analysis Measuring Weight Loss and Program Engagement with a Mobile Health Program. Journal of Women's Health 2021;30(11):1645 View
  11. Laudenslager M, Chaudhry Z, Rajagopal S, Clynes S, Gudzune K. Commercial Weight Loss Programs in the Management of Obesity: an Update. Current Obesity Reports 2021;10(2):90 View
  12. . 3. Prevention or Delay of Type 2 Diabetes:Standards of Medical Care in Diabetes—2021. Diabetes Care 2021;44(Supplement_1):S34 View
  13. 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
  14. Chatterjee A, Gerdes M, Prinz A, Martinez S. Human Coaching Methodologies for Automatic Electronic Coaching (eCoaching) as Behavioral Interventions With Information and Communication Technology: Systematic Review. Journal of Medical Internet Research 2021;23(3):e23533 View
  15. Mitchell E, Maimone R, Cassells A, Tobin J, Davidson P, Smaldone A, Mamykina L. Automated vs. Human Health Coaching. Proceedings of the ACM on Human-Computer Interaction 2021;5(CSCW1):1 View
  16. 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
  17. 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
  18. Mitchell E, Yang Q, Behr H, Deluca L, Schaffer P. Adherence to healthy food choices during the COVID-19 pandemic in a U.S. population attempting to lose weight. Nutrition, Metabolism and Cardiovascular Diseases 2021;31(7):2165 View
  19. Behr H, Ho A, Mitchell E, Yang Q, DeLuca L, Michealides A. How Do Emotions during Goal Pursuit in Weight Change over Time? Retrospective Computational Text Analysis of Goal Setting and Striving Conversations with a Coach during a Mobile Weight Loss Program. International Journal of Environmental Research and Public Health 2021;18(12):6600 View
  20. 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
  21. Cunningham S, Stoddart A, Wild S, Conway N, Gray A, Wake D. Cost-Utility of an Online Education Platform and Diabetes Personal Health Record: Analysis Over Ten Years. Journal of Diabetes Science and Technology 2023;17(3):715 View
  22. Kawasaki M, Mito A, Waguri M, Sato Y, Abe E, Shimada M, Fukuda S, Sasaki Y, Fujikawa K, Sugiyama T, Ota E, Nakazawa J, Okoshi T, Takimoto H, Honda Y, Inoue E, Hiramatsu Y, Arata N. Protocol for an interventional study to reduce postpartum weight retention in obese mothers using the internet of things and a mobile application: a randomized controlled trial (SpringMom). BMC Pregnancy and Childbirth 2021;21(1) View
  23. 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
  24. 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
  25. Bassi G, Giuliano C, Perinelli A, Forti S, Gabrielli S, Salcuni S. A Virtual Coach (Motibot) for Supporting Healthy Coping Strategies Among Adults With Diabetes: Proof-of-Concept Study. JMIR Human Factors 2022;9(1):e32211 View
  26. Char A, Gaudel P, Kulathinal S, Kinnunen T. Effects of technology-based interventions on dietary intake or anthropometrics among adolescents and adults in South Asia – A systematic review of intervention studies. Obesity Research & Clinical Practice 2022;16(3):181 View
  27. 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
  28. Potzel A, Gar C, Banning F, Sacco V, Fritsche A, Fritsche L, Müssig K, Dauben L, Seissler J, Lechner A, Pyle L. A novel smartphone app to change risk behaviors of women after gestational diabetes: A randomized controlled trial. PLOS ONE 2022;17(4):e0267258 View
  29. Tang P, Duni J, Peeples M, Kowitt S, Bhushan N, Sokol R, Fisher E. Complementarity of Digital Health and Peer Support: “This Is What’s Coming”. Frontiers in Clinical Diabetes and Healthcare 2021;2 View
  30. ElSayed N, Aleppo G, Aroda V, Bannuru R, Brown F, Bruemmer D, Collins B, Gaglia J, Hilliard M, Isaacs D, Johnson E, Kahan S, Khunti K, Leon J, Lyons S, Perry M, Prahalad P, Pratley R, Seley J, Stanton R, Gabbay R. 3. Prevention or Delay of Diabetes and Associated Comorbidities: Standards of Care in Diabetes—2023. Diabetes Care 2023;46(Supplement_1):S41 View
  31. . 3. Prevention or Delay of Type 2 Diabetes and Associated Comorbidities: Standards of Medical Care in Diabetes—2022. Diabetes Care 2022;45(Supplement_1):S39 View
  32. Teo J, Ramachandran H, Jiang Y, Seah C, Lim S, Nguyen H, Wang W. The characteristics and acceptance of Technology‐Enabled diabetes prevention programs (t‐DPP) amongst individuals with prediabetes: A scoping review. Journal of Clinical Nursing 2023;32(17-18):5562 View
  33. Sysko R, Bibeau J, Boyar A, Costello K, Michaelides A, Mitchell E, Susanin A, Hildebrandt T. A 2.5-Year Weight Management Program Using Noom Health: Protocol for a Randomized Controlled Trial. JMIR Research Protocols 2022;11(8):e37541 View
  34. 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
  35. 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
  36. Carey A, Yang Q, DeLuca L, Toro-Ramos T, Kim Y, Michaelides A. The Relationship Between Weight Loss Outcomes and Engagement in a Mobile Behavioral Change Intervention: Retrospective Analysis. JMIR mHealth and uHealth 2021;9(11):e30622 View
  37. Kim H, Kim Y, Michaelides A, Park Y. Weight Loss Trajectories and Related Factors in a 16-Week Mobile Obesity Intervention Program: Retrospective Observational Study. Journal of Medical Internet Research 2022;24(4):e29380 View
  38. 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;9(5):443 View
  39. Hawkes R, Miles L, Ainsworth B, Ross J, Meacock R, French D. Engagement with a nationally-implemented digital behaviour change intervention: Usage patterns over the 9-month duration of the National Health Service Digital Diabetes Prevention Programme. Internet Interventions 2023;33:100647 View
  40. Beasley J, Johnston E, Costea D, Sevick M, Rogers E, Jay M, Zhong J, Chodosh J. Adapting the Diabetes Prevention Program for Older Adults: Descriptive Study. JMIR Formative Research 2023;7:e45004 View
  41. ElSayed N, Aleppo G, Bannuru R, Bruemmer D, Collins B, Ekhlaspour L, Gaglia J, Hilliard M, Johnson E, Khunti K, Lingvay I, Matfin G, McCoy R, Perry M, Pilla S, Polsky S, Prahalad P, Pratley R, Segal A, Seley J, Selvin E, Stanton R, Gabbay R. 3. Prevention or Delay of Diabetes and Associated Comorbidities: Standards of Care in Diabetes—2024. Diabetes Care 2024;47(Supplement_1):S43 View
  42. Howard-Wilson S, Ching J, Gentile S, Ho M, Garcia A, Ayturk D, Lazar P, Hammerquist N, McManus D, Barton B, Bird S, Moore J, Soni A. Study to Evaluate the Efficacy of a Multimodal Digital Behavior Change Intervention on Lifestyle Behavior, Cardiometabolic Biomarkers, and Medical Expenditure: Protocol of a Randomized Controlled Trial (Preprint). JMIR Research Protocols 2023 View

Books/Policy Documents

  1. John M, Kleppisch M. Prävention und Gesundheitsförderung. View
  2. John M, Kleppisch M. Prävention und Gesundheitsförderung. View