Published on in Vol 17, No 10 (2015): October

Diabetes Prevention and Weight Loss with a Fully Automated Behavioral Intervention by Email, Web, and Mobile Phone: A Randomized Controlled Trial Among Persons with Prediabetes

Diabetes Prevention and Weight Loss with a Fully Automated Behavioral Intervention by Email, Web, and Mobile Phone: A Randomized Controlled Trial Among Persons with Prediabetes

Diabetes Prevention and Weight Loss with a Fully Automated Behavioral Intervention by Email, Web, and Mobile Phone: A Randomized Controlled Trial Among Persons with Prediabetes

Journals

  1. Stan D, Cutshall S, Adams T, Ghosh K, Clark M, Wieneke K, Kebede E, Donelan Dunlap B, Ruddy K, Hazelton J, Butts A, Jenkins S, Croghan I, Bauer B. Wellness Coaching: An Intervention to Increase Healthy Behavior in Breast Cancer Survivors. Clinical Journal of Oncology Nursing 2020;24(3):305 View
  2. Srivastava P, Verma A, Geronimo C, Button T. Behavior stages of a physician- and coach-supported cloud-based diabetes prevention program for people with prediabetes. SAGE Open Medicine 2019;7:205031211984198 View
  3. Salkar M, Rosenthal M, Thakur T, Arnold A. Patient Centered Studies Focusing on Diabetes Self-Management: A Scoping Review. Current Diabetes Reviews 2020;16(6):557 View
  4. Driver S, Juengst S, McShan E, Bennett M, Bell K, Dubiel R. A randomized controlled trial protocol for people with traumatic brain injury enrolled in a healthy lifestyle program (GLB-TBI). Contemporary Clinical Trials Communications 2019;14:100328 View
  5. Triantafyllidis A, Filos D, Claes J, Buys R, Cornelissen V, Kouidi E, Chouvarda I, Maglaveras N. Computerised decision support in physical activity interventions: A systematic literature review. International Journal of Medical Informatics 2018;111:7 View
  6. Kim J, Wineinger N, Taitel M, Radin J, Akinbosoye O, Jiang J, Nikzad N, Orr G, Topol E, Steinhubl S. Self-Monitoring Utilization Patterns Among Individuals in an Incentivized Program for Healthy Behaviors. Journal of Medical Internet Research 2016;18(11):e292 View
  7. Elavsky S, Knapova L, Klocek A, Smahel D. Mobile Health Interventions for Physical Activity, Sedentary Behavior, and Sleep in Adults Aged 50 Years and Older: A Systematic Literature Review. Journal of Aging and Physical Activity 2019;27(4):565 View
  8. Laxy M, Zhang P, Ng B, Shao H, Ali M, Albright A, Gregg E. Implementing Lifestyle Change Interventions to Prevent Type 2 Diabetes in US Medicaid Programs: Cost Effectiveness, and Cost, Health, and Health Equity Impact. Applied Health Economics and Health Policy 2020;18(5):713 View
  9. Hartz J, Yingling L, Powell-Wiley T. Use of Mobile Health Technology in the Prevention and Management of Diabetes Mellitus. Current Cardiology Reports 2016;18(12) View
  10. Ali Z, Shakir S, Aslam T. Perceptions and use of technology in older people with ophthalmic conditions. F1000Research 2019;8:86 View
  11. Stühmann L, Paprott R, Heidemann C, Baumert J, Hansen S, Zahn D, Scheidt-Nave C, Gellert P. Health App Use and Its Correlates Among Individuals With and Without Type 2 Diabetes: Nationwide Population-Based Survey. JMIR Diabetes 2020;5(2):e14396 View
  12. Reading J, Buhr K, Stuckey H. Social Experiences of Adults Using Online Support Forums to Lose Weight: A Qualitative Content Analysis. Health Education & Behavior 2019;46(2_suppl):129S View
  13. Rorie D, Flynn R, Mackenzie I, MacDonald T, Rogers A. The Treatment In Morning versus Evening (TIME) study: analysis of recruitment, follow-up and retention rates post-recruitment. Trials 2017;18(1) View
  14. Kaufman N, Salahi A. Using Digital Health Technology to Prevent and Treat Diabetes. Diabetes Technology & Therapeutics 2017;19(S1):S-59 View
  15. Komkova A, Brandt C, Hansen Pedersen D, Emneus M, Sortsø C. Electronic Health Lifestyle Coaching Among Diabetes Patients in a Real-Life Municipality Setting: Observational Study. JMIR Diabetes 2019;4(1):e12140 View
  16. Villinger K, Wahl D, Boeing H, Schupp H, Renner B. The effectiveness of app‐based mobile interventions on nutrition behaviours and nutrition‐related health outcomes: A systematic review and meta‐analysis. Obesity Reviews 2019;20(10):1465 View
  17. Goessl C, Estabrooks P, You W, Britigan D, DeAlba A, Almeida F. Effectiveness of DVD vs. group-initiated diabetes prevention on information uptake for high & low health literacy participants. Patient Education and Counseling 2019;102(5):968 View
  18. Evert A, Dennison M, Gardner C, Garvey W, Lau K, MacLeod J, Mitri J, Pereira R, Rawlings K, Robinson S, Saslow L, Uelmen S, Urbanski P, Yancy W. Nutrition Therapy for Adults With Diabetes or Prediabetes: A Consensus Report. Diabetes Care 2019;42(5):731 View
  19. Steinmetz M, Rammos C, Rassaf T, Lortz J. Digital interventions in the treatment of cardiovascular risk factors and atherosclerotic vascular disease. IJC Heart & Vasculature 2020;26:100470 View
  20. Agboola S, Palacholla R, Centi A, Kvedar J, Jethwani K. A Multimodal mHealth Intervention (FeatForward) to Improve Physical Activity Behavior in Patients with High Cardiometabolic Risk Factors: Rationale and Protocol for a Randomized Controlled Trial. JMIR Research Protocols 2016;5(2):e84 View
  21. Hu E, Nguyen V, Langheier J, Shurney D. Weight Reduction Through a Digital Nutrition and Food Purchasing Platform Among Users With Obesity: Longitudinal Study. Journal of Medical Internet Research 2020;22(9):e19634 View
  22. Sakane N. Diabetes prevention in the real world: Insights from the JDPP and J‐DOIT1. Journal of General and Family Medicine 2017;18(6):325 View
  23. Castro Sweet C, Chiguluri V, Gumpina R, Abbott P, Madero E, Payne M, Happe L, Matanich R, Renda A, Prewitt T. Outcomes of a Digital Health Program With Human Coaching for Diabetes Risk Reduction in a Medicare Population. Journal of Aging and Health 2018;30(5):692 View
  24. Rosenbaum D, Piers A, Schumacher L, Kase C, Butryn M. Racial and ethnic minority enrollment in randomized clinical trials of behavioural weight loss utilizing technology: a systematic review. Obesity Reviews 2017;18(7):808 View
  25. Cueto V, Wang C, Sanders L. Impact of a Mobile App–Based Health Coaching and Behavior Change Program on Participant Engagement and Weight Status of Overweight and Obese Children: Retrospective Cohort Study. JMIR mHealth and uHealth 2019;7(11):e14458 View
  26. Wimalawansa S. Vitamin D Deficiency is a Surrogate Marker for Visceral Fat Content, Metabolic Syndrome, Type 2 Diabetes, and Future Metabolic Complications. Journal of Diabetes, Metabolic Disorders & Control 2016;3(1) View
  27. 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 View
  28. Young B. Exploring Differences in the Rate of Type 2 Diabetes Among American Cities: How Urbanization Continues to Challenge the Traditional Epidemiological View. Urban Science 2019;3(2):53 View
  29. Staite E, Bayley A, Al-Ozairi E, Stewart K, Hopkins D, Rundle J, Basudev N, Mohamedali Z, Ismail K. A Wearable Technology Delivering a Web-Based Diabetes Prevention Program to People at High Risk of Type 2 Diabetes: Randomized Controlled Trial. JMIR mHealth and uHealth 2020;8(7):e15448 View
  30. Moore S, McMullan M, McEvoy C, McKinley M, Woodside J. The effectiveness of peer-supported interventions for encouraging dietary behaviour change in adults: a systematic review. Public Health Nutrition 2019;22(4):624 View
  31. 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 View
  32. Feigin V, Norrving B, George M, Foltz J, Roth G, Mensah G. Prevention of stroke: a strategic global imperative. Nature Reviews Neurology 2016;12(9):501 View
  33. DeJesus R, Clark M, Finney Rutten L, Jacobson R, Croghan I, Wilson P, Jacobson D, Link S, Fan C, St. Sauver J. Impact of a 12-week wellness coaching on self-care behaviors among primary care adult patients with prediabetes. Preventive Medicine Reports 2018;10:100 View
  34. Cefalu W, Buse J, Tuomilehto J, Fleming G, Ferrannini E, Gerstein H, Bennett P, Ramachandran A, Raz I, Rosenstock J, Kahn S. Update and Next Steps for Real-World Translation of Interventions for Type 2 Diabetes Prevention: Reflections From a Diabetes Care Editors’ Expert Forum. Diabetes Care 2016;39(7):1186 View
  35. Grock S, Ku J, Kim J, Moin T. A Review of Technology-Assisted Interventions for Diabetes Prevention. Current Diabetes Reports 2017;17(11) View
  36. 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
  37. Claudel S, Bertoni A. Exploring the Use of Personal Technology in Type 2 Diabetes Management Among Ethnic Minority Patients: Cross-Sectional Analysis of Survey Data from the Lifestyle Intervention for the Treatment of Diabetes Study (LIFT Diabetes). JMIR Diabetes 2018;3(1):e5 View
  38. Chao D, Lin T, Ma W. Enhanced Self-Efficacy and Behavioral Changes Among Patients With Diabetes: Cloud-Based Mobile Health Platform and Mobile App Service. JMIR Diabetes 2019;4(2):e11017 View
  39. Ryu B, Kim N, Heo E, Yoo S, Lee K, Hwang H, Kim J, Kim Y, Lee J, Jung S. Impact of an Electronic Health Record-Integrated Personal Health Record on Patient Participation in Health Care: Development and Randomized Controlled Trial of MyHealthKeeper. Journal of Medical Internet Research 2017;19(12):e401 View
  40. Block G, Azar K, Romanelli R, Block T, Palaniappan L, Dolginsky M, Block C. Improving diet, activity and wellness in adults at risk of diabetes: randomized controlled trial. Nutrition & Diabetes 2016;6(9):e231 View
  41. Hatch A, Hoffman J, Ross R, Docherty J. Expert Consensus Survey on Digital Health Tools for Patients With Serious Mental Illness: Optimizing for User Characteristics and User Support. JMIR Mental Health 2018;5(2):e46 View
  42. Fakih El Khoury C, Karavetian M, Halfens R, Crutzen R, Khoja L, Schols J. The Effects of Dietary Mobile Apps on Nutritional Outcomes in Adults with Chronic Diseases: A Systematic Review and Meta-Analysis. Journal of the Academy of Nutrition and Dietetics 2019;119(4):626 View
  43. Fagg J, Valabhji J. How do we identify people at high risk of Type 2 diabetes and help prevent the condition from developing?. Diabetic Medicine 2019;36(3):316 View
  44. Joiner K, Nam S, Whittemore R. Lifestyle interventions based on the diabetes prevention program delivered via eHealth: A systematic review and meta-analysis. Preventive Medicine 2017;100:194 View
  45. Coventry P, Bower P, Blakemore A, Baker E, Hann M, Li J, Paisley A, Gibson M. Satisfaction with a digitally-enabled telephone health coaching intervention for people with non-diabetic hyperglycaemia. npj Digital Medicine 2019;2(1) View
  46. Donevant S, Estrada R, Culley J, Habing B, Adams S. Exploring app features with outcomes in mHealth studies involving chronic respiratory diseases, diabetes, and hypertension: a targeted exploration of the literature. Journal of the American Medical Informatics Association 2018;25(10):1407 View
  47. Zhang Y, Wang L, Yang W, Niu D, Li C, Wang L, Gu P, Xia Y, Shen Y, Yan J, Zhao Q, Mu K, Yan W. Effectiveness of Low Glycemic Index Diet Consultations Through a Diet Glycemic Assessment App Tool on Maternal and Neonatal Insulin Resistance: A Randomized Controlled Trial. JMIR mHealth and uHealth 2019;7(4):e12081 View
  48. Barthold D, Chiguluri V, Gumpina R, Castro Sweet C, Pieratt J, Cordier T, Matanich R, Rogstad T, Prewitt T. Health Care Utilization and Medical Cost Outcomes from a Digital Diabetes Prevention Program in a Medicare Advantage Population. Population Health Management 2020;23(6):414 View
  49. Driver S, Swank C, Froehlich-Grobe K, McShan E, Calhoun S, Bennett M. Weight Loss After Stroke Through an Intensive Lifestyle Intervention (Group Lifestyle Balance-Cerebrovascular Accident): Protocol for a Randomized Controlled Trial. JMIR Research Protocols 2019;8(10):e14338 View
  50. Brandt C, Christensen J, Lauridsen J, Nielsen J, Søndergaard J, Sortsø C. Evaluation of the Clinical and Economic Effects of a Primary Care Anchored, Collaborative, Electronic Health Lifestyle Coaching Program in Denmark: Protocol for a Two-Year Randomized Controlled Trial. JMIR Research Protocols 2020;9(6):e19172 View
  51. Puigdomenech Puig E, Robles N, Saigí-Rubió F, Zamora A, Moharra M, Paluzie G, Balfegó M, Cuatrecasas Cambra G, Garcia-Lorda P, Carrion C. Assessment of the Efficacy, Safety, and Effectiveness of Weight Control and Obesity Management Mobile Health Interventions: Systematic Review. JMIR mHealth and uHealth 2019;7(10):e12612 View
  52. Patel M, Hopkins C, Brooks T, Bennett G. Comparing Self-Monitoring Strategies for Weight Loss in a Smartphone App: Randomized Controlled Trial. JMIR mHealth and uHealth 2019;7(2):e12209 View
  53. Antoniadou M, Varzakas T. Diet and Oral Health Coaching Methods and Models for the Independent Elderly. Applied Sciences 2020;10(11):4021 View
  54. Wu X, Guo X, Zhang Z. The Efficacy of Mobile Phone Apps for Lifestyle Modification in Diabetes: Systematic Review and Meta-Analysis. JMIR mHealth and uHealth 2019;7(1):e12297 View
  55. Moin T, Damschroder L, AuYoung M, Maciejewski M, Havens K, Ertl K, Vasti E, Weinreb J, Steinle N, Billington C, Hughes M, Makki F, Youles B, Holleman R, Kim H, Kinsinger L, Richardson C. Results From a Trial of an Online Diabetes Prevention Program Intervention. American Journal of Preventive Medicine 2018;55(5):583 View
  56. Yip W, Sequeira I, Plank L, Poppitt S. Prevalence of Pre-Diabetes across Ethnicities: A Review of Impaired Fasting Glucose (IFG) and Impaired Glucose Tolerance (IGT) for Classification of Dysglycaemia. Nutrients 2017;9(11):1273 View
  57. Fiordelli M, Zanini C, Amann J, Scheel-Sailer A, Brach M, Stucki G, Rubinelli S. Selecting Evidence-Based Content for Inclusion in Self-Management Apps for Pressure Injuries in Individuals With Spinal Cord Injury: Participatory Design Study. JMIR mHealth and uHealth 2020;8(5):e15818 View
  58. Bian R, Piatt G, Sen A, Plegue M, De Michele M, Hafez D, Czuhajewski C, Buis L, Kaufman N, Richardson C. The Effect of Technology-Mediated Diabetes Prevention Interventions on Weight: A Meta-Analysis. Journal of Medical Internet Research 2017;19(3):e76 View
  59. 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
  60. Razzak M, Imran M, Xu G. Big data analytics for preventive medicine. Neural Computing and Applications 2020;32(9):4417 View
  61. Ali Z, Shakir S, Aslam T. Perceptions and use of technology in older people with ophthalmic conditions. F1000Research 2019;8:86 View
  62. Kankanhalli A, Shin J, Oh H. Mobile-Based Interventions for Dietary Behavior Change and Health Outcomes: Scoping Review. JMIR mHealth and uHealth 2019;7(1):e11312 View
  63. Yang Q, Van Stee S. The Comparative Effectiveness of Mobile Phone Interventions in Improving Health Outcomes: Meta-Analytic Review. JMIR mHealth and uHealth 2019;7(4):e11244 View
  64. Badran H, Pluye P, Grad R. When Educational Material Is Delivered: A Mixed Methods Content Validation Study of the Information Assessment Method. JMIR Medical Education 2017;3(1):e4 View
  65. Shan R, Sarkar S, Martin S. Digital health technology and mobile devices for the management of diabetes mellitus: state of the art. Diabetologia 2019;62(6):877 View
  66. Tsiouris K, Tsakanikas V, Gatsios D, Fotiadis D. A Review of Virtual Coaching Systems in Healthcare: Closing the Loop With Real-Time Feedback. Frontiers in Digital Health 2020;2 View
  67. 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 View
  68. Kontsevaya A, Drapkina O, Gorniy B, Kalinina A, Komkov D, Balanova Y, Bunova A, Kushunina D, Antsiferova A, Myrzamatova A, Lavrenova E, Nomura E, Iwatake M, Waki T, Tanaka-Mizuno S, Miura K, Miyamoto Y, Tsushita K. Protocol and Rationale for the Russian-Japanese “Tackle Obesity and Metabolic Syndrome Outcome by Diet, Activities and Checking Body Weight Intervention” (RJ-TOMODACHI) Randomized Controlled Trial. Circulation Reports 2020;2(11):695 View
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  70. Garvey W, Mechanick J, Brett E, Garber A, Hurley D, Jastreboff A, Nadolsky K, Pessah-Pollack R, Plodkowski R. American Association of Clinical Endocrinologists and American College of Endocrinology Comprehensive Clinical Practice Guidelines For Medical Care of Patients with Obesity. Endocrine Practice 2016;22:1 View
  71. 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
  72. Buss V, Leesong S, Barr M, Varnfield M, Harris M. Primary Prevention of Cardiovascular Disease and Type 2 Diabetes Mellitus Using Mobile Health Technology: Systematic Review of the Literature. Journal of Medical Internet Research 2020;22(10):e21159 View
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  74. 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
  75. Pagoto S, Tulu B, Waring M, Goetz J, Bibeau J, Divito J, Groshon L, Schroeder M. Slip Buddy App for Weight Management: Randomized Feasibility Trial of a Dietary Lapse Tracking App. JMIR mHealth and uHealth 2021;9(4):e24249 View
  76. Sampson M, Clark A, Bachmann M, Garner N, Irvine L, Howe A, Greaves C, Auckland S, Smith J, Turner J, Rea D, Rayman G, Dhatariya K, John W, Barton G, Usher R, Ferns C, Pascale M. Lifestyle Intervention With or Without Lay Volunteers to Prevent Type 2 Diabetes in People With Impaired Fasting Glucose and/or Nondiabetic Hyperglycemia. JAMA Internal Medicine 2021;181(2):168 View
  77. Vaz C, Carnes N, Pousti B, Zhao H, Williams K. A randomized controlled trial of an innovative, user‐friendly, interactive smartphone app‐based lifestyle intervention for weight loss. Obesity Science & Practice 2021;7(5):555 View
  78. Thomas Craig K, Morgan L, Chen C, Michie S, Fusco N, Snowdon J, 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 View
  79. Gouda P, Ganni E, Chung P, Randhawa V, Marquis-Gravel G, Avram R, Ezekowitz J, Sharma A. Feasibility of Incorporating Voice Technology and Virtual Assistants in Cardiovascular Care and Clinical Trials. Current Cardiovascular Risk Reports 2021;15(8) View
  80. Turnin M, Gourdy P, Martini J, Buisson J, Chauchard M, Delaunay J, Schirr-Bonnans S, Taoui S, Poncet M, Cosma V, Lablanche S, Coustols-Valat M, Chaillous L, Thivolet C, Sanz C, Penfornis A, Lepage B, Colineaux H, Mounié M, Costa N, Molinier L, Hanaire H. Impact of a Remote Monitoring Programme Including Lifestyle Education Software in Type 2 Diabetes: Results of the Educ@dom Randomised Multicentre Study. Diabetes Therapy 2021;12(7):2059 View
  81. Otero P, Cotardo T, Blanco V, Vázquez F. Development of a Videogame for the Promotion of Active Aging Through Depression Prevention, Healthy Lifestyle Habits, and Cognitive Stimulation for Middle-to-Older Aged Adults. Games for Health Journal 2021 View
  82. Ramakrishnan P, Yan K, Balijepalli C, Druyts E. Changing face of healthcare: digital therapeutics in the management of diabetes. Current Medical Research and Opinion 2021;37(12):2089 View
  83. 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
  84. Cannon M, Ng B, Lloyd K, Reynolds J, Ely E, Saisho Y. Delivering the National Diabetes Prevention Program: Assessment of Enrollment in In-Person and Virtual Organizations. Journal of Diabetes Research 2022;2022:1 View
  85. Buss V, Varnfield M, Harris M, Barr M. A Mobile App for Prevention of Cardiovascular Disease and Type 2 Diabetes Mellitus: Development and Usability Study. JMIR Human Factors 2022;9(2):e35065 View
  86. Jake-Schoffman D, Waring M, DiVito J, Goetz J, Pan C, Pagoto S. The Relationship Between How Participants Articulate Their Goals and Accomplishments and Weight Loss Outcomes: Secondary Analysis of a Pilot of a Web-Based Weight Loss Intervention. JMIR mHealth and uHealth 2023;11:e41275 View
  87. Driver S, McShan E, Swank C, Calhoun S, Bennett M, Callender L, Holden A, Juengst S, Bell K, Douglas M, Kramer K, Dubiel R. Efficacy of the Diabetes Prevention Program Group Lifestyle Balance Program Modified for Individuals with TBI (GLB-TBI): Results from a 12-month Randomized Controlled Trial. Annals of Behavioral Medicine 2023;57(2):131 View
  88. 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
  89. Christensen J, Laursen D, Lauridsen J, Hesseldal L, Jakobsen P, Nielsen J, Søndergaard J, Brandt C. Reversing Type 2 Diabetes in a Primary Care-Anchored eHealth Lifestyle Coaching Programme in Denmark: A Randomised Controlled Trial. Nutrients 2022;14(16):3424 View
  90. Almeida F, You W, Brito F, Alves T, Goessl C, Wall S, Seidel R, Davy B, Greenawald M, Hill J, Estabrooks P. A randomized controlled trial to test the effectiveness of two technology-enhanced diabetes prevention programs in primary care: The DiaBEAT-it study. Frontiers in Public Health 2023;11 View
  91. Qin Y, Wang X, Namkoong K. A meta-analysis of the overall effect of mHealth physical activity interventions for weight loss and the moderating effect of behavioral change theories, techniques, and mobile technologies. Mobile Media & Communication 2022;10(2):337 View
  92. Lim S, Ong K, Johal J, Han C, Yap Q, Chan Y, Zhang Z, Chandra C, Thiagarajah A, Khoo C. A Smartphone App-Based Lifestyle Change Program for Prediabetes (D'LITE Study) in a Multiethnic Asian Population: A Randomized Controlled Trial. Frontiers in Nutrition 2022;8 View
  93. Sevilla-Gonzalez M, Bourguet-Ramirez B, Lazaro-Carrera L, Martagon-Rosado A, Gomez-Velasco D, Viveros-Ruiz T. 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 View
  94. Blonde L, Umpierrez G, Reddy S, McGill J, Berga S, Bush M, Chandrasekaran S, DeFronzo R, Einhorn D, Galindo R, Gardner T, Garg R, Garvey W, Hirsch I, Hurley D, Izuora K, Kosiborod M, Olson D, Patel S, Pop-Busui R, Sadhu A, Samson S, Stec C, Tamborlane W, Tuttle K, Twining C, Vella A, Vellanki P, Weber S. American Association of Clinical Endocrinology Clinical Practice Guideline: Developing a Diabetes Mellitus Comprehensive Care Plan—2022 Update. Endocrine Practice 2022;28(10):923 View
  95. Kavanagh M, Chiavaroli L, Glenn A, Heijmans G, Grant S, Chow C, Josse R, Malik V, Watson W, Lofters A, Holmes C, Rackal J, Srichaikul K, Sherifali D, Snelgrove-Clarke E, Udell J, Juni P, Booth G, Farkouh M, Leiter L, Kendall C, Jenkins D, Sievenpiper J. A Web-Based Health Application to Translate Nutrition Therapy for Cardiovascular Risk Reduction in Primary Care (PortfolioDiet.app): Quality Improvement and Usability Testing Study. JMIR Human Factors 2022;9(2):e34704 View
  96. Zengul A, Evans E, Hall A, Qu H, Willig A, Cherrington A, Thirumalai M. Telehealth Behavioral Intervention for Diabetes Management in Adults With Physical Disabilities: Intervention Fidelity Protocol for a Randomized Controlled Trial. JMIR Research Protocols 2021;10(9):e31695 View
  97. Burke L, Sereika S, Bizhanova Z, Parmanto B, Kariuki J, Cheng J, Beatrice B, Cedillo M, Pulantara I, Wang Y, Loar I, Conroy M. The Effect of Tailored, Daily, Smartphone Feedback to Lifestyle Self-Monitoring on Weight Loss at 12 Months: the SMARTER Randomized Clinical Trial. Journal of Medical Internet Research 2022;24(7):e38243 View
  98. Nagata T, Aoyagi S, Takahashi M, Nagata M, Mori K. Effects of Feedback From Self-Monitoring Devices on Lifestyle Changes in Workers with Diabetes: 3-Month Randomized Controlled Pilot Trial. JMIR Formative Research 2022;6(8):e23261 View
  99. Hamasaki H. Efficacy of Wearable Devices to Measure and Promote Physical Activity in the Management of Diabetes. EMJ Diabetes 2018:62 View
  100. Hintze L, Kravchychyn A, Ferreira Y, Campos R, Dantas A, Masquio D, Caranti D, Thivel D, Dâmaso A. Semi-intensive and Intensive Interdisciplinary Treatments Have Similar Effects on Metabolic Syndrome and Selected Inflammatory Markers in Adolescents with Obesity. Journal of Obesity & Metabolic Syndrome 2021;30(4):386 View
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  102. MacPherson M, Merry K, Locke S, Jung M. 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 View
  103. Dhinagaran D, Sathish T, Kowatsch T, Griva K, Best J, Tudor Car L. Public Perceptions of Diabetes, Healthy Living, and Conversational Agents in Singapore: Needs Assessment. JMIR Formative Research 2021;5(11):e30435 View
  104. 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
  105. Devani R, Kirubakaran A, Molokhia M. Digital health RCT interventions for cardiovascular disease risk reduction: a systematic review and meta-analysis. Health and Technology 2022;12(4):687 View
  106. Dhinagaran D, Car L. Public perceptions of a healthy lifestyle change conversational agent in Singapore: A qualitative study. DIGITAL HEALTH 2022;8:205520762211311 View
  107. Whitehead L, Glass C, Coppell K. The effectiveness of goal setting on glycaemic control for people with type 2 diabetes and prediabetes: A systematic review and meta‐analysis. Journal of Advanced Nursing 2022;78(5):1212 View
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Books/Policy Documents

  1. O’Donnell R. Behavioral Medicine and Integrated Care. View
  2. Subramaniam S, Dhillon J, Ahmad M, Leong J, Teoh C. Recent Trends in Information and Communication Technology. View
  3. Singer J. Encyclopedia of Food Security and Sustainability. View