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

mHealth for Symptom and Disease Monitoring, Chronic Disease Management (1400) Engagement with and Adherence to Digital Health Interventions, Law of Attrition (493) Innovations and Technology for Physical Activity Education (742) Mobile Health (mhealth) (2941) Digital Biomarkers and Digital Phenotyping (191) Fitness Trackers and Smart Pedometers/Accelerometers (561) Apps, Mobile, Wearables for Diabetes (298) Diabetes Self-Management (484)

Published on in Vol 8, No 6 (2020): June

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/17730, first published .
Digital Phenotyping Self-Monitoring Behaviors for Individuals With Type 2 Diabetes Mellitus: Observational Study Using Latent Class Growth Analysis

Digital Phenotyping Self-Monitoring Behaviors for Individuals With Type 2 Diabetes Mellitus: Observational Study Using Latent Class Growth Analysis

Digital Phenotyping Self-Monitoring Behaviors for Individuals With Type 2 Diabetes Mellitus: Observational Study Using Latent Class Growth Analysis

Authors of this article:

Qing Yang1 Author Orcid Image ;   Daniel Hatch1 Author Orcid Image ;   Matthew J Crowley2, 3 Author Orcid Image ;   Allison A Lewinski2 Author Orcid Image ;   Jacqueline Vaughn1 Author Orcid Image ;   Dori Steinberg1 Author Orcid Image ;   Allison Vorderstrasse4 Author Orcid Image ;   Meilin Jiang5 Author Orcid Image ;   Ryan J Shaw1, 6 Author Orcid Image
Article Authors Cited by (19) Tweetations (9) Metrics

Journals

  1. Lee J, Turchioe M, Creber R, Biviano A, Hickey K, Bakken S. Phenotypes of engagement with mobile health technology for heart rhythm monitoring. JAMIA Open 2021;4(2) View
  2. Dlima S, Shevade S, Menezes S, Ganju A. Digital Phenotyping in Health Using Machine Learning Approaches: Scoping Review. JMIR Bioinformatics and Biotechnology 2022;3(1):e39618 View
  3. Kruse C, Mileski M, Heinemann K, Huynh H, Leafblad A, Moreno E. Analyzing the Effectiveness of mHealth to Manage Diabetes Mellitus Among Adults Over 50: A Systematic Literature Review. Journal of Multidisciplinary Healthcare 2023;Volume 16:101 View
  4. De-Jongh González O, Tugault-Lafleur C, Buckler E, Hamilton J, Ho J, Buchholz A, Morrison K, Ball G, Mâsse L. The Aim2Be mHealth Intervention for Children With Overweight or Obesity and Their Parents: Person-Centered Analyses to Uncover Digital Phenotypes. Journal of Medical Internet Research 2022;24(6):e35285 View
  5. Kay M, Miller H, Askew S, Spaulding E, Chisholm M, Christy J, Yang Q, Steinberg D. Patterns of Engagement With an Application-Based Dietary Self-Monitoring Tool Within a Randomized Controlled Feasibility Trial. AJPM Focus 2022;1(2):100037 View
  6. Tolentino D, Ali S, Jang S, Kettaneh C, Smith J. Type 2 Diabetes Self-Management Interventions Among Asian Americans in the United States: A Scoping Review. Health Equity 2022;6(1):750 View
  7. Worth C, Harper S, Salomon-Estebanez M, O'Shea E, Nutter P, Dunne M, Banerjee I. Clustering of Hypoglycemia Events in Patients With Hyperinsulinism: Extension of the Digital Phenotype Through Retrospective Data Analysis. Journal of Medical Internet Research 2021;23(10):e26957 View
  8. Hermanns N, Ehrmann D, Shapira A, Kulzer B, Schmitt A, Laffel L. Coordination of glucose monitoring, self-care behaviour and mental health: achieving precision monitoring in diabetes. Diabetologia 2022;65(11):1883 View
  9. Kinouchi K, Ohashi K. Assessing Engagement With Patient-Generated Health Data Recording and Its Impact on Health Behavior Changes in Multicomponent Interventions: Supplementary Analysis. JMIR Formative Research 2022;6(5):e35471 View
  10. Chung J, Brakey H, Reeder B, Myers O, Demiris G. Community‐dwelling older adults' acceptance of smartwatches for health and location tracking. International Journal of Older People Nursing 2023;18(1) View
  11. Ortiz A, Park Y, Gonzalez-Torres C, Alda M, Blumberger D, Burnett R, Husain M, Sanches M, Mulsant B. Predictors of adherence to electronic self-monitoring in patients with bipolar disorder: a contactless study using Growth Mixture Models. International Journal of Bipolar Disorders 2023;11(1) View
  12. Wu J, Zhou T, Guo Y, Tian Y, Lou Y, Feng J, li J. Video-based evaluation system for tic action in Tourette syndrome: modeling, detection, and evaluation. Health Information Science and Systems 2023;11(1) View
  13. Fujio K, Nagino K, Huang T, Sung J, Akasaki Y, Okumura Y, Midorikawa-Inomata A, Fujimoto K, Eguchi A, Miura M, Hurramhon S, Yee A, Hirosawa K, Ohno M, Morooka Y, Murakami A, Kobayashi H, Inomata T. Clinical utility of maximum blink interval measured by smartphone application DryEyeRhythm to support dry eye disease diagnosis. Scientific Reports 2023;13(1) View
  14. Pai A, Santiago R, Glantz N, Bevier W, Barua S, Sabharwal A, Kerr D. Multimodal digital phenotyping of diet, physical activity, and glycemia in Hispanic/Latino adults with or at risk of type 2 diabetes. npj Digital Medicine 2024;7(1) View
  15. Zhong S, Jiang J, Liu H, Pan Y. Effect of emerging digital technologies and methodologies combined with incentives on HbA1c in patients with type 2 diabetes mellitus: study protocol for a parallel, open randomized controlled trial. Trials 2024;25(1) View
  16. Li S, Du Y, Miao H, Sharma K, Li C, Yin Z, Brimhall B, Wang J. Understanding Heterogeneity in Individual Responses to Digital Lifestyle Intervention Through Self-Monitoring Adherence Trajectories in Adults With Overweight or Obesity: Secondary Analysis of a 6-Month Randomized Controlled Trial. Journal of Medical Internet Research 2024;26:e53294 View
  17. Park G, Lee H, Lee Y, Kim M, Jung S, Khang A, Yi D. Automated Personalized Self-care Program for Patients With Type 2 Diabetes Mellitus: A Pilot Trial. Asian Nursing Research 2024;18(2):114 View
  18. McInerney A, Schmitz N, Matthews M, Deschênes S. “Anything that would help is a positive development”: feasibility, tolerability, and user experience of smartphone-based digital phenotyping for people with and without type 2 diabetes. BMC Digital Health 2024;2(1) View
  19. Eaton C, Vallejo N, McDonald X, Wu J, Rodríguez R, Muthusamy N, Mathioudakis N, Riekert K. User Engagement With mHealth Interventions to Promote Treatment Adherence and Self-Management in People With Chronic Health Conditions: Systematic Review. Journal of Medical Internet Research 2024;26:e50508 View