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

Mobile Health (mhealth) (2893) mHealth for Wellness, Behavior Change and Prevention (2841) Behavior Change (699) Obesity and Nutrition as Public Health Problem (298) Eating Disorders (75) Parent and Child Education on Healthy Eating and Nutrition (167) Web-based and Mobile Health Interventions (3247) Machine Learning (1434)

Published on in Vol 25 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/45407, first published .
Exploring the Effect of the Dynamics of Behavioral Phenotypes on Health Outcomes in an mHealth Intervention for Childhood Obesity: Longitudinal Observational Study

Exploring the Effect of the Dynamics of Behavioral Phenotypes on Health Outcomes in an mHealth Intervention for Childhood Obesity: Longitudinal Observational Study

Exploring the Effect of the Dynamics of Behavioral Phenotypes on Health Outcomes in an mHealth Intervention for Childhood Obesity: Longitudinal Observational Study

Authors of this article:

Sarah Woo1 Author Orcid Image ;   Sunho Jung2 Author Orcid Image ;   Hyunjung Lim3 Author Orcid Image ;   YoonMyung Kim4 Author Orcid Image ;   Kyung Hee Park5 Author Orcid Image
Article Authors Cited by (1) Tweetations (4) Metrics

Journals

  1. Yang Q, Jiang M, Li C, Luo S, Crowley M, Shaw R. Predicting health outcomes with intensive longitudinal data collected by mobile health devices: a functional principal component regression approach. BMC Medical Research Methodology 2024;24(1) View