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

mHealth for Symptom and Disease Monitoring, Chronic Disease Management (1004) Engagement with and Adherence to Digital Health Interventions, Law of Attrition (363) Innovations and Technology for Physical Activity Education (527) Mobile Health (mhealth) (1866) Digital Biomarkers and Digital Phenotyping (132) Fitness Trackers and Smart Pedometers/Accelerometers (488) Apps, Mobile, Wearables for Diabetes (232) Diabetes Self-Management (361)

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 Yang 1 Author Orcid Image ;   Daniel Hatch 1 Author Orcid Image ;   Matthew J Crowley 2, 3 Author Orcid Image ;   Allison A Lewinski 2 Author Orcid Image ;   Jacqueline Vaughn 1 Author Orcid Image ;   Dori Steinberg 1 Author Orcid Image ;   Allison Vorderstrasse 4 Author Orcid Image ;   Meilin Jiang 5 Author Orcid Image ;   Ryan J Shaw 1, 6 Author Orcid Image
Article Authors Cited by (1) Tweetations (13) 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