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

mHealth for Screening (213) Web-based and Mobile Health Interventions (3299) Research Instruments, Questionnaires, and Tools (576) mHealth for Wellness, Behavior Change and Prevention (2872) Apps, Mobile, Wearables for Diabetes (298) Diabetes Self-Management (484) Diabetes Prevention (83)

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

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/10662, first published .
A Mobile App for Identifying Individuals With Undiagnosed Diabetes and Prediabetes and for Promoting Behavior Change: 2-Year Prospective Study

A Mobile App for Identifying Individuals With Undiagnosed Diabetes and Prediabetes and for Promoting Behavior Change: 2-Year Prospective Study

A Mobile App for Identifying Individuals With Undiagnosed Diabetes and Prediabetes and for Promoting Behavior Change: 2-Year Prospective Study

Authors of this article:

Angela YM Leung1 Author Orcid Image ;   Xin Yi Xu1 Author Orcid Image ;   Pui Hing Chau2 Author Orcid Image ;   Yee Tak Esther Yu3 Author Orcid Image ;   Mike KT Cheung4 Author Orcid Image ;   Carlos KH Wong3 Author Orcid Image ;   Daniel YT Fong2 Author Orcid Image ;   Janet YH Wong2 Author Orcid Image ;   Cindy LK Lam3 Author Orcid Image
Article Authors Cited by (10) Tweetations (8) Metrics

Journals

  1. Xu X, Leung A, Smith R, Wong J, Chau P, Fong D. The relative risk of developing type 2 diabetes among individuals with prediabetes compared with individuals with normoglycaemia: Meta‐analysis and meta‐regression. Journal of Advanced Nursing 2020;76(12):3329 View
  2. Li J, Yuan P, Hu X, Huang J, Cui L, Cui J, Ma X, Jiang T, Yao X, Li J, Shi Y, Bi Z, Wang Y, Fu H, Wang J, Lin Y, Pai C, Guo X, Zhou C, Tu L, Xu J. A tongue features fusion approach to predicting prediabetes and diabetes with machine learning. Journal of Biomedical Informatics 2021;115:103693 View
  3. Roos T, Hochstadt S, Keuthage W, Kröger J, Lueg A, Mühlen H, Schütte L, Scheper N, Ehrmann D, Hermanns N, Heinemann L, Kulzer B. Level of Digitalization in Germany: Results of the Diabetes Digitalization and Technology (D.U.T) Report 2020. Journal of Diabetes Science and Technology 2022;16(1):144 View
  4. Buss V, Varnfield M, Harris M, Barr M. Remotely Conducted App-Based Intervention for Cardiovascular Disease and Diabetes Risk Awareness and Prevention: Single-Group Feasibility Trial. JMIR Human Factors 2022;9(3):e38469 View
  5. Abqari U, van 't Noordende A, Richardus J, Isfandiari M, Korfage I. Strategies to promote the use of online health applications for early detection and raising awareness of chronic diseases among members of the general public: A systematic literature review. International Journal of Medical Informatics 2022;162:104737 View
  6. Kim A, Jeon E, Lee H, Heo H, Woo K. Risk factors for prediabetes in community‐dwelling adults: A generalized estimating equation logistic regression approach with natural language processing insights. Research in Nursing & Health 2024;47(6):620 View

Books/Policy Documents

  1. John M, Kleppisch M. Prävention und Gesundheitsförderung. View
  2. Leung A, Xu X. Encyclopedia of Gerontology and Population Aging. View
  3. John M, Kleppisch M. Prävention und Gesundheitsförderung. View
  4. Leung A, Xu X. Encyclopedia of Gerontology and Population Aging. View