Cargando…

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

BACKGROUND: Sustained self-monitoring and self-management behaviors are crucial to maintain optimal health for individuals with type 2 diabetes mellitus (T2DM). As smartphones and mobile health (mHealth) devices become widely available, self-monitoring using mHealth devices is an appealing strategy...

Descripción completa

Detalles Bibliográficos
Autores principales:	Yang, Qing, Hatch, Daniel, Crowley, Matthew J, Lewinski, Allison A, Vaughn, Jacqueline, Steinberg, Dori, Vorderstrasse, Allison, Jiang, Meilin, Shaw, Ryan J
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	JMIR Publications 2020
Materias:	Original Paper
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7317630/ https://www.ncbi.nlm.nih.gov/pubmed/32525492 http://dx.doi.org/10.2196/17730

Ejemplares similares

Enhancing Diabetes Self-Management Through Collection and Visualization of Data From Multiple Mobile Health Technologies: Protocol for a Development and Feasibility Trial
por: Shaw, Ryan J, et al.
Publicado: (2019)

Developing Methods That Facilitate Coding and Analysis of Synchronous Conversations via Virtual Environments
por: Lewinski, Allison A., et al.
Publicado: (2019)

Exchanges in a Virtual Environment for Diabetes Self-Management Education and Support: Social Network Analysis
por: Pérez-Aldana, Carlos A, et al.
Publicado: (2021)

Unpacking Peer Conversations in a Virtual Communitiy for Diabetes Self-Management Education and Support: Behavior Science and Linguistics Perspective
por: PÉREZ-ALDANA, Carlos A, et al.
Publicado: (2021)

Type 2 Diabetes Education and Support in a Virtual Environment: A Secondary Analysis of Synchronously Exchanged Social Interaction and Support
por: Lewinski, Allison A, et al.
Publicado: (2018)

Analyzing Unstructured Communication in a Computer-Mediated Environment for Adults With Type 2 Diabetes: A Research Protocol
por: Lewinski, Allison A, et al.
Publicado: (2017)

Digital Technology and Media Use by Adolescents: Latent Class Analysis
por: Moreno, Megan A, et al.
Publicado: (2022)

Latent class analysis to characterize neonatal risk for neurodevelopmental differences
por: Momany, Allison M., et al.
Publicado: (2022)

Socioeconomic Status and Racial or Ethnic Differences in Participation: Web-Based Survey
por: Jang, Myoungock, et al.
Publicado: (2019)

A Bayesian latent class approach for EHR‐based phenotyping
por: Hubbard, Rebecca A., et al.
Publicado: (2018)

Identifying different phenotypes in takotsubo cardiomyopathy by latent class analysis
por: Li, Pengyang, et al.
Publicado: (2020)

Phenotypes and Subphenotypes of Patients With COVID-19: A Latent Class Modeling Analysis
por: Wang, Xiaofeng, et al.
Publicado: (2021)

PHENOTYPES OF CARDIOVASCULAR DAMAGE AND THE RELATIONSHIP WITH COGNITIVE DECLINE: LATENT CLASS ANALYSIS
por: Miller, Lindsay, et al.
Publicado: (2019)

Identification of Latent Classes of Motor Performance in a Heterogenous Population of Adults
por: Hyngstrom, Allison S., et al.
Publicado: (2020)

The search for healthy schools: A multilevel latent class analysis of schools and their students
por: Allison, Kenneth R., et al.
Publicado: (2016)

Phenotyping Chronic Pelvic Pain Based on Latent Class Modeling of Physical Examination
por: Fenton, B. W., et al.
Publicado: (2013)

IDENTIFICATION OF PHENOTYPES AMONG COVID-19 DEATH USING LATENT CLASS ANALYSIS
por: TENG, CATHERINE, et al.
Publicado: (2021)

Different information needs in subgroups of people with diabetes mellitus: a latent class analysis
por: Borgmann, Sandra O., et al.
Publicado: (2020)

Applied latent class analysis
por: Hagenaars, Jacques A, et al.
Publicado: (2002)

Applied latent class analysis /
Publicado: (2002)

Multimethod latent class analysis
por: Nussbeck, Fridtjof W., et al.
Publicado: (2015)

Comorbidity phenotypes and risk of mortality in patients with osteoarthritis in the UK: a latent class analysis
por: Zemedikun, Dawit T., et al.
Publicado: (2022)

27416 DNA Methylation Age Acceleration and Depressive Symptoms in African American Women with Cardiometabolic Conditions
por: Perez, Nicole, et al.
Publicado: (2021)

Novel Digital Technologies for Blood Pressure Monitoring and Hypertension Management
por: Hare, Allison J., et al.
Publicado: (2021)

The Latent Structure of Autistic Traits: A Taxometric, Latent Class and Latent Profile Analysis of the Adult Autism Spectrum Quotient
por: James, Richard J. E., et al.
Publicado: (2016)

Identification of Phenotypes Among COVID-19 Patients in the United States Using Latent Class Analysis
por: Teng, Catherine, et al.
Publicado: (2021)

4292 Epigenetic Age and Depressive Symptoms in African American Women with Cardiometabolic Conditions
por: Perez, Nicole B, et al.
Publicado: (2020)

Latent Class Analysis of Survey Error
por: Biemer, Paul P
Publicado: (2010)

Latent class analysis of IPOs in the Nordics
por: Bask, Mikael, et al.
Publicado: (2021)

Deciding on the Starting Number of Classes of a Latent Class Tree
por: van den Bergh, Mattis, et al.
Publicado: (2018)

Latent class analysis was accurate but sensitive in data simulations()
por: Green, Michael J.
Publicado: (2014)

Implementation of childhood obesity identification and prevention strategies in primary care: A quality improvement project
por: Rankin, Audra, et al.
Publicado: (2015)

Latent Class and Latent Transition Analysis: With Applications in the Social, Behavioral, and Health Sciences
por: Collins, Linda M, et al.
Publicado: (2010)

The effect of smoking on latent hazard classes of metabolic syndrome using latent class causal analysis method in the Iranian population
por: Khodamoradi, Farzad, et al.
Publicado: (2023)

Phenotypes of atopic dermatitis up to 36 months of age by latent class analysis and associated factors in Japan
por: Arima, Takayasu, et al.
Publicado: (2022)

Framework to construct and interpret latent class trajectory modelling
por: Lennon, Hannah, et al.
Publicado: (2018)

Bayesian Latent Class Models in Malaria Diagnosis
por: Gonçalves, Luzia, et al.
Publicado: (2012)

Latent class instrumental variables and the monotonicity assumption
por: Baker, Stuart G.
Publicado: (2020)

Correction: Latent class analysis of IPOs in the Nordics
Publicado: (2023)

Prevalence and correlates of modifiable risk factors for cervical cancer and HPV infection among senior high school students in Ghana: a latent class analysis
por: Ampofo, Ama Gyamfua, et al.
Publicado: (2023)

Cannot write session to /tmp/vufind_sessions/sess_fkdfrofe5urn5qkubt9f0d7bfs