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

mHealth for Wellness, Behavior Change and Prevention (3315) mHealth for Patient Education (292) Mobile Health (mhealth) (3464) Prevention and Health Promotion (1362) Apps, Mobile, Wearables for Diabetes (364) mHealth for Symptom and Disease Monitoring, Chronic Disease Management (1732)

Published on in Vol 11 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/41099, first published .
The Effectiveness of a Traditional Chinese Medicine–Based Mobile Health App for Individuals With Prediabetes: Randomized Controlled Trial

The Effectiveness of a Traditional Chinese Medicine–Based Mobile Health App for Individuals With Prediabetes: Randomized Controlled Trial

The Effectiveness of a Traditional Chinese Medicine–Based Mobile Health App for Individuals With Prediabetes: Randomized Controlled Trial

Authors of this article:

Hsueh-Wen Chung1 Author Orcid Image ;   Chen-Jei Tai2, 3 Author Orcid Image ;   Polun Chang4 Author Orcid Image ;   Wen-Lin Su5, 6 Author Orcid Image ;   Li-Yin Chien7 Author Orcid Image
Article Authors Cited by (19) Tweetations (2) Metrics

Journals

  1. Feng H, Qiu S, Hong X, Ma S, Hou Z, Zhu K, Guo M, Wang C, Huang Y. Impact of Different Traditional Chinese Medicine Constitutions on the Clinical Outcomes of COVID-19 Patients Infected with SARS-CoV-2 Omicron Variant: A Retrospective Observational Study. Infection and Drug Resistance 2023;Volume 16:6333 View
  2. Lin Y. Concerns on Generalizability. JMIR mHealth and uHealth 2023;11:e50280 View
  3. Chung H, Tai C, Chang P, Su W, Chien L. Authors’ Reply: Concerns on Generalizability. JMIR mHealth and uHealth 2023;11:e51852 View
  4. Jahan E, Almansour R, Ijaz K, Baptista S, Giordan L, 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;66(6):1060 View
  5. Shen Y, Wang S, Shen Y, Tan S, Dong Y, Qin W, Zhuang Y. Evaluating the Usability of mHealth Apps: An Evaluation Model Based on Task Analysis Methods and Eye Movement Data. Healthcare 2024;12(13):1310 View
  6. Xue C, Chen Y, Bi Y, Yang X, Chen K, Tang C, Tong X, Zhao L, Wang H. Dilemmas in Elderly Diabetes and Clinical Practice Involving Traditional Chinese Medicine. Pharmaceuticals 2024;17(7):953 View
  7. Wang C, Zhang H, Nie X, Ding F, Liu Q, Hou L, Deng Y, Ye W, Yue J, He Y. Traditional Chinese medicine constitution and sarcopenia: a cross-sectional study. Frontiers in Public Health 2024;12 View
  8. Cao Y, Shrestha A, Janiczak A, Li X, Lu Y, Haregu T. Lifestyle Intervention in Reducing Insulin Resistance and Preventing type 2 Diabetes in Asia Pacific Region: A Systematic Review and Meta-Analysis. Current Diabetes Reports 2024;24(9):207 View
  9. Fredensborg Holm T, Udsen F, Giese I, Færch K, Jensen M, von Scholten B, Hangaard S. The Effectiveness of Digital Health Lifestyle Interventions on Weight Loss in People With Prediabetes: A Systematic Review, Meta-Analysis, and Meta-Regression. Journal of Diabetes Science and Technology 2024 View
  10. Chen P, Fang S, Shen S, Chen C, Lin W, Huang S. Effects of obesity-related parameters and dietary habits on Chinese medicine body constitutions: A mediation analysis based on Taiwan Biobank Research Database. European Journal of Integrative Medicine 2025;74:102431 View
  11. Duong T, Olsen Q, Menon A, Woods L, Wang W, Varnfield M, Jiang L, Sullivan C. Digital Health Interventions to Prevent Type 2 Diabetes Mellitus: Systematic Review. Journal of Medical Internet Research 2025;27:e67507 View
  12. Jiang N, Yu X, Yang Y, Li G, He C, Wang M, Tham Y, Wong T, Rao K. Digital Therapeutics in China: Comprehensive Review. Journal of Medical Internet Research 2025;27:e70955 View
  13. Wong A, Nan Y, Yang B, Liu Y. Exploring Desired Features of Mobile Health Apps for Patients With Diabetes to Enhance Engagement and Self-Management: Qualitative Study. JMIR Diabetes 2025;10:e69176 View
  14. Pan Z, Li X, Yan Q, Zeng N. Application of Behavioral Science in Digital Therapeutics for Individuals With Prediabetes: Scoping Review. Journal of Medical Internet Research 2025;27:e78891 View
  15. Munawaroh L. What Kind of Technology Devices Can be Used to Improve Agronursing Practice?: A Scoping Review. Journal of Rural Community Nursing Practice 2025;3(2):304 View
  16. Suhlrie L, Abdelmalak N, Burns J, Hauner H, Kristiansen N, Stephan A, Laxy M. Effectiveness of Smartphone Application‐Based Interventions to Prevent Type 2 Diabetes Mellitus in Individuals With Prediabetes: A Systematic Review and Meta‐Analysis. Obesity Reviews 2025 View
  17. Wang H, Wang J, Wang Q. Integrating Traditional Medicine to Improve the Care of Persistent Physical Symptom. Health Care Science 2025 View

Books/Policy Documents

  1. . Creating Responsible Inquiring Digital Health Organizations. View

Conference Proceedings

  1. Wang J, Wang D. 2024 4th International Conference on Artificial Intelligence, Robotics, and Communication (ICAIRC). Analysis of Traditional Chinese Medicine Health Data based on Data Mining: Constitution Classification and Personalized Wellness Recommendation System View