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

Web-based and Mobile Health Interventions (3297) Mobile Health (mhealth) (2939) mHealth for Wellness, Behavior Change and Prevention (2871)

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

Authors of this article:

Gladys Block1, 2 Author Orcid Image ;   Kristen MJ Azar3 Author Orcid Image ;   Robert J Romanelli3 Author Orcid Image ;   Torin J Block1 Author Orcid Image ;   Donald Hopkins1 Author Orcid Image ;   Heather A Carpenter1 Author Orcid Image ;   Marina S Dolginsky3 Author Orcid Image ;   Mark L Hudes4 Author Orcid Image ;   Latha P Palaniappan3 Author Orcid Image ;   Clifford H Block1 Author Orcid Image
Article Authors Cited by (177) Tweetations (28) Metrics

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  123. Shi Y, Wakaba K, Kiyohara K, Hayashi F, Tsushita K, Nakata Y. Effectiveness and Components of Web-Based Interventions on Weight Changes in Adults Who Were Overweight and Obese: A Systematic Review with Meta-Analyses. Nutrients 2022;15(1):179 View
  124. Muralidharan S, Ranjani H, Anjana R, Gupta Y, Ambekar S, Koppikar V, Jagannathan N, Jena S, Tandon N, Allender S, Mohan V. Change in cardiometabolic risk factors among Asian Indian adults recruited in a mHealth-based diabetes prevention trial. DIGITAL HEALTH 2021;7 View
  125. Bärlund M, Takala L, Tianen L, Kellokumpu-Lehtinen P. Real-world Evidence of Implementing eHealth Enables Fluent Symptom-based Follow-up of a Growing Number of Patients with Breast Cancer with the Same Healthcare Resources. Clinical Breast Cancer 2022;22(3):261 View
  126. Martinon P, Saliasi I, Bourgeois D, Smentek C, Dussart C, Fraticelli L, Carrouel F. Nutrition-Related Mobile Apps in the French App Stores: Assessment of Functionality and Quality. JMIR mHealth and uHealth 2022;10(3):e35879 View
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  128. Katula J, Dressler E, Kittel C, Harvin L, Almeida F, Wilson K, Michaud T, Porter G, Brito F, Goessl C, Jasik C, Sweet C, Schwab R, Estabrooks P. Effects of a Digital Diabetes Prevention Program: An RCT. American Journal of Preventive Medicine 2022;62(4):567 View
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  131. Wu R, Shu Z, Zou F, Zhao S, Chan S, Hu Y, Xiang H, Chen S, Fu L, Cao D, Lu H. Identifying myoglobin as a mediator of diabetic kidney disease: a machine learning-based cross-sectional study. Scientific Reports 2022;12(1) View
  132. 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
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  134. Goh Y, Ow Yong J, Chee B, Kuek J, Ho C. Machine Learning in Health Promotion and Behavioral Change: Scoping Review. Journal of Medical Internet Research 2022;24(6):e35831 View
  135. Lee J, Lim S, Cha S, Han C, Jung A, Kim K, Yoon K, Ko S. Short-Term Effects of the Internet-Based Korea Diabetes Prevention Study: 6-Month Results of a Community-Based Randomized Controlled Trial. Diabetes & Metabolism Journal 2021;45(6):960 View
  136. Lakka T, Aittola K, Järvelä-Reijonen E, Tilles-Tirkkonen T, Männikkö R, Lintu N, Karhunen L, Kolehmainen M, Harjumaa M, Mattila E, Järvenpää R, Ermes M, Mikkonen S, Martikainen J, Poutanen K, Schwab U, Absetz P, Lindström J, Pihlajamäki J. Real-world effectiveness of digital and group-based lifestyle interventions as compared with usual care to reduce type 2 diabetes risk – A stop diabetes pragmatic randomised trial. The Lancet Regional Health - Europe 2023;24:100527 View
  137. Lugones-Sánchez C, Recio-Rodríguez J, Menéndez-Suárez M, Saz-Lara A, Ramirez-Manent J, Sánchez-Calavera M, Gómez-Sánchez L, Rodríguez-Sánchez E, García-Ortiz L. Effect of a Multicomponent mHealth Intervention on the Composition of Diet in a Population with Overweight and Obesity—Randomized Clinical Trial EVIDENT 3. Nutrients 2022;14(2):270 View
  138. Sharma V, Feldman M, Sharma R. Telehealth Technologies in Diabetes Self-management and Education. Journal of Diabetes Science and Technology 2024;18(1):148 View
  139. Daryabeygi-Khotbehsara R, Shariful Islam S, Dunstan D, McVicar J, Abdelrazek M, Maddison R. Smartphone-Based Interventions to Reduce Sedentary Behavior and Promote Physical Activity Using Integrated Dynamic Models: Systematic Review. Journal of Medical Internet Research 2021;23(9):e26315 View
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  141. Chew H, Rajasegaran N, Chin Y, Chew W, Kim K. Effectiveness of Combined Health Coaching and Self-Monitoring Apps on Weight-Related Outcomes in People With Overweight and Obesity: Systematic Review and Meta-analysis. Journal of Medical Internet Research 2023;25:e42432 View
  142. Arora S, Lam C, Burner E, Menchine M. Implementation and Evaluation of an Automated Text Message–Based Diabetes Prevention Program for Adults With Pre-diabetes. Journal of Diabetes Science and Technology 2024;18(5):1139 View
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  152. Geurts K, Woodcock-Nekeman S, Hummel M, Dietvorst C, van Rossum E, Berk K. The Effect of Including eHealth in Dietary Interventions for Patients with Type 2 Diabetes with Overweight or Obesity: A Systematic Review. Nutrients 2023;15(17):3776 View
  153. Vargas M, Pineda G, Talamantes V, Toledo M, Owen A, Carcamo P, Gibbert W, Ackermann R, Kandula N, Cameron K, Siddique J, Williams G, O'Brien M. Design and rationale of behavioral nudges for diabetes prevention (BEGIN): A pragmatic, cluster randomized trial of text messaging and a decision aid intervention for primary care patients with prediabetes. Contemporary Clinical Trials 2023;130:107216 View
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  155. Kitazawa M, Takeda Y, Hatta M, Horikawa C, Sato T, Osawa T, Ishizawa M, Suzuki H, Matsubayashi Y, Fujihara K, Yamada T, Sone H. Lifestyle Intervention With Smartphone App and isCGM for People at High Risk of Type 2 Diabetes: Randomized Trial. The Journal of Clinical Endocrinology & Metabolism 2024;109(4):1060 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