Explore our sister journals here.

Maintenance Notice

Due to necessary scheduled maintenance, the JMIR Publications website will be unavailable from Wednesday, July 01, 2020 at 8:00 PM to 10:00 PM EST. We apologize in advance for any inconvenience this may cause you.

Who will be affected?

Citing this Article

Right click to copy or hit: ctrl+c (cmd+c on mac)

Published on 27.02.18 in Vol 20, No 2 (2018): February

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

Works citing "A Novel Approach for Fully Automated, Personalized Health Coaching for Adults with Prediabetes: Pilot Clinical Trial"

Estelle Everett, Brian Kane, Ashley Yoo, Adrian Dobs, Nestoras Mathioudakis

J Med Internet Res 2018 (Feb 27); 20(2):e72 

According to Crossref, the following articles are citing this article (DOI 10.2196/jmir.9723):

(note that this is only a small subset of citations)

  1. Monteiro-Guerra F, Rivera-Romero O, Fernandez-Luque L, Caulfield B. Personalization in Real-Time Physical Activity Coaching Using Mobile Applications: A Scoping Review. IEEE Journal of Biomedical and Health Informatics 2020;24(6):1738
    CrossRef
  2. Broome DT, Hilton CB, Mehta N. Policy Implications of Artificial Intelligence and Machine Learning in Diabetes Management. Current Diabetes Reports 2020;20(2)
    CrossRef
  3. Sforzo GA, Kaye MP, Harenberg S, Costello K, Cobus-Kuo L, Rauff E, Edman JS, Frates E, Moore M. Compendium of Health and Wellness Coaching: 2019 Addendum. American Journal of Lifestyle Medicine 2020;14(2):155
    CrossRef
  4. Van Rhoon L, Byrne M, Morrissey E, Murphy J, McSharry J. A systematic review of the behaviour change techniques and digital features in technology-driven type 2 diabetes prevention interventions. DIGITAL HEALTH 2020;6:205520762091442
    CrossRef
  5. Sequi-Dominguez I, Alvarez-Bueno C, Martinez-Vizcaino V, Fernandez-Rodriguez R, del Saz Lara A, Cavero-Redondo I. Effectiveness of Mobile Health Interventions Promoting Physical Activity and Lifestyle Interventions to Reduce Cardiovascular Risk Among Individuals With Metabolic Syndrome: Systematic Review and Meta-Analysis. Journal of Medical Internet Research 2020;22(8):e17790
    CrossRef
  6. Contreras I, Vehi J. Artificial Intelligence for Diabetes Management and Decision Support: Literature Review. Journal of Medical Internet Research 2018;20(5):e10775
    CrossRef
  7. Gimbel RW, Rennert LM, Crawford P, Little JR, Truong K, Williams JE, Griffin SF, Shi L, Chen L, Zhang L, Moss JB, Marshall RC, Edwards KW, Crawford KJ, 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
    CrossRef
  8. Muralidharan S, Ranjani H, Mohan Anjana R, Jena S, Tandon N, Gupta Y, Ambekar S, Koppikar V, Jagannathan N, Allender S, Mohan V. Engagement and Weight Loss: Results from the Mobile Health and Diabetes Trial. Diabetes Technology & Therapeutics 2019;21(9):507
    CrossRef
  9. Li J, Huang J, Zheng L, Li X. Application of Artificial Intelligence in Diabetes Education and Management: Present Status and Promising Prospect. Frontiers in Public Health 2020;8
    CrossRef
  10. Bradway M, Pfuhl G, Joakimsen R, Ribu L, Grøttland A, Årsand E, Borsci S. Analysing mHealth usage logs in RCTs: Explaining participants’ interactions with type 2 diabetes self-management tools. PLOS ONE 2018;13(8):e0203202
    CrossRef
  11. Vehi J, Regincós Isern J, Parcerisas A, Calm R, Contreras I. Impact of Use Frequency of a Mobile Diabetes Management App on Blood Glucose Control: Evaluation Study. JMIR mHealth and uHealth 2019;7(3):e11933
    CrossRef
  12. Gershkowitz BD, Hillert CJ, Crotty BH. Digital Coaching Strategies to Facilitate Behavioral Change in Type 2 Diabetes: A Systematic Review. The Journal of Clinical Endocrinology & Metabolism 2021;106(4):e1513
    CrossRef
  13. Kaasalainen K, Kalmari J, Ruohonen T. Developing and testing a discrete event simulation model to evaluate budget impacts of diabetes prevention programs. Journal of Biomedical Informatics 2020;111:103577
    CrossRef
  14. Sieczkowska SM, de Lima AP, Swinton PA, Dolan E, Roschel H, Gualano B. Health Coaching Strategies for Weight Loss: A Systematic Review and Meta-Analysis. Advances in Nutrition 2021;12(4):1449
    CrossRef
  15. Pham Q, Gamble A, Hearn J, Cafazzo JA. The Need for Ethnoracial Equity in Artificial Intelligence for Diabetes Management: Review and Recommendations. Journal of Medical Internet Research 2021;23(2):e22320
    CrossRef
  16. Nelson A, Moses O, Rea B, Morton K, Shih W, Alramadhan F, Singh PN. Pilot Feasibility Study of Incorporating Whole Person Care Health Coaching Into an Employee Wellness Program. Frontiers in Public Health 2021;8
    CrossRef
  17. Chew HSJ, Ang WHD, Lau Y. The potential of artificial intelligence in enhancing adult weight loss: a scoping review. Public Health Nutrition 2021;24(8):1993
    CrossRef
  18. Tong HL, Quiroz JC, Kocaballi AB, Fat SCM, Dao KP, Gehringer H, Chow CK, Laranjo L. Personalized mobile technologies for lifestyle behavior change: A systematic review, meta-analysis, and meta-regression. Preventive Medicine 2021;148:106532
    CrossRef
  19. . The Potential of AI in Care Optimization: Insights from the User-Driven Co-Development of a Care Integration System. INQUIRY: The Journal of Health Care Organization, Provision, and Financing 2021;58:004695802110179
    CrossRef
  20. Thomas Craig KJ, Morgan LC, Chen C, Michie S, Fusco N, Snowdon JL, Scheufele E, Gagliardi T, Sill S. Systematic review of context-aware digital behavior change interventions to improve health. Translational Behavioral Medicine 2021;11(5):1037
    CrossRef
  21. Gautier T, Ziegler LB, Gerber MS, Campos-Náñez E, Patek SD. Artificial intelligence and diabetes technology: A review. Metabolism 2021;124:154872
    CrossRef
  22. Li Z, Das S, Codella J, Hao T, Lin K, Maduri C, Chen C. An Adaptive, Data-Driven Personalized Advisor for Increasing Physical Activity. IEEE Journal of Biomedical and Health Informatics 2019;23(3):999
    CrossRef
  23. Berry MP, Chwyl C, Metzler AL, Sun JH, Dart H, Forman EM. Associations between behaviour change technique clusters and weight loss outcomes of automated digital interventions: a systematic review and meta-regression. Health Psychology Review 2023;17(4):521
    CrossRef
  24. Sohl SJ, Duncan PW, Thakur E, Puccinelli-Ortega N, Salsman JM, Russell G, Pasche BC, Wentworth S, Miller Jr DP, Wagner LI, Topaloglu U. Adaptation of a Personalized Electronic Care Planning Tool for Cancer Follow-up Care: Formative Study. JMIR Formative Research 2023;7:e41354
    CrossRef
  25. Antoun J, Itani H, Alarab N, Elsehmawy A. The Effectiveness of Combining Nonmobile Interventions With the Use of Smartphone Apps With Various Features for Weight Loss: Systematic Review and Meta-analysis. JMIR mHealth and uHealth 2022;10(4):e35479
    CrossRef
  26. Park G, Lee H, Lee M. Artificial Intelligence-based Healthcare Interventions: A Systematic Review. Korean Journal of Adult Nursing 2021;33(5):427
    CrossRef
  27. Vairavasundaram S, Varadarajan V, Srinivasan D, Balaganesh V, Damerla SB, Swaminathan B, Ravi L. Dynamic Physical Activity Recommendation Delivered through a Mobile Fitness App: A Deep Learning Approach. Axioms 2022;11(7):346
    CrossRef
  28. . Künstliche Intelligenz (KI) in der Diabetologie – jetzt und in der Zukunft. Die Diabetologie 2023;19(1):35
    CrossRef
  29. Arigo D, Lobo AF, Ainsworth MC, Baga K, Pasko K. Development and Initial Testing of a Personalized, Adaptive, and Socially Focused Web Tool to Support Physical Activity Among Women in Midlife: Multidisciplinary and User-Centered Design Approach. JMIR Formative Research 2022;6(7):e36280
    CrossRef
  30. Graham SA, Pitter V, Hori JH, Stein N, Branch OH. Weight loss in a digital app-based diabetes prevention program powered by artificial intelligence. DIGITAL HEALTH 2022;8:205520762211306
    CrossRef
  31. Chen D, Zhang H, Cui N, Song F, Tang L, Shao J, Wu J, Guo P, Liu N, Wang X, Ye Z. Development of a behavior change intervention to improve physical activity adherence in individuals with metabolic syndrome using the behavior change wheel. BMC Public Health 2022;22(1)
    CrossRef
  32. Amagai S, Pila S, Kaat AJ, Nowinski CJ, Gershon RC. Challenges in Participant Engagement and Retention Using Mobile Health Apps: Literature Review. Journal of Medical Internet Research 2022;24(4):e35120
    CrossRef
  33. Sevilla-Gonzalez MDR, Bourguet-Ramirez B, Lazaro-Carrera LS, Martagon-Rosado AJ, Gomez-Velasco DV, Viveros-Ruiz TL. Evaluation of a Web Platform to Record Lifestyle Habits in Subjects at Risk of Developing Type 2 Diabetes in a Middle-Income Population: Prospective Interventional Study. JMIR Diabetes 2022;7(1):e25105
    CrossRef
  34. MacPherson MM, Merry KJ, Locke SR, Jung ME. How Can We Keep People Engaged in the Behavior Change Process? An Exploratory Analysis of Two mHealth Applications. Journal of Technology in Behavioral Science 2022;7(3):337
    CrossRef
  35. Teo JYC, Ramachandran HJ, Jiang Y, Seah CWA, Lim ST, Nguyen HD, 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
    CrossRef
  36. Johannessen E, Johansson J, Hartvigsen G, Horsch A, Årsand E, Henriksen A. Collecting health-related research data using consumer-based wireless smart scales. International Journal of Medical Informatics 2023;173:105043
    CrossRef
  37. Alsayed AO, Ismail NA, Hasan L, Syed AH, Embarak F, Da'u A. A systematic literature review for understanding the effectiveness of advanced techniques in diabetes self-care management. Alexandria Engineering Journal 2023;79:274
    CrossRef
  38. Salinari A, Machì M, Armas Diaz Y, Cianciosi D, Qi Z, Yang B, Ferreiro Cotorruelo MS, Villar SG, Dzul Lopez LA, Battino M, Giampieri F. The Application of Digital Technologies and Artificial Intelligence in Healthcare: An Overview on Nutrition Assessment. Diseases 2023;11(3):97
    CrossRef
  39. Guan Z, Li H, Liu R, Cai C, Liu Y, Li J, Wang X, Huang S, Wu L, Liu D, Yu S, Wang Z, Shu J, Hou X, Yang X, Jia W, Sheng B. Artificial intelligence in diabetes management: Advancements, opportunities, and challenges. Cell Reports Medicine 2023;4(10):101213
    CrossRef
  40. Berry M, Taylor L, Huang Z, Chwyl C, Kerrigan S, Forman E. Automated Messaging Delivered Alongside Behavioral Treatment for Weight Loss: Qualitative Study. JMIR Formative Research 2023;7:e50872
    CrossRef
  41. Rivera-Romero O, Gabarron E, Ropero J, Denecke K. Designing personalised mHealth solutions: An overview. Journal of Biomedical Informatics 2023;146:104500
    CrossRef
  42. Jahan E, Almansour R, Ijaz K, Baptista S, Giordan LB, Ronto R, Zaman S, O'Hagan E, Laranjo L. Smartphone Applications to Prevent Type 2 Diabetes: A Systematic Review and Meta-Analysis. American Journal of Preventive Medicine 2024;
    CrossRef

According to Crossref, the following books are citing this article (DOI 10.2196/jmir.9723):

  1. . Geriatrie in de fysiotherapie en kinesitherapie. 2022. Chapter 19:349
    CrossRef
  2. Colberg SR, Scheiner G. Diabetes Digital Health and Telehealth. 2022. :147
    CrossRef
  3. Ahmad AAL, Mohamed AA. Artificial Intelligence and Autoimmune Diseases. 2024. Chapter 14:289
    CrossRef