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

Mobile Health (mhealth) (2973) Web-based and Mobile Health Interventions (3344) mHealth for Wellness, Behavior Change and Prevention (2912) Machine Learning (1489) Behavior Change (718) Obesity (86)

Published on in Vol 24, No 4 (2022): April

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/29380, first published .
Weight Loss Trajectories and Related Factors in a 16-Week Mobile Obesity Intervention Program: Retrospective Observational Study

Weight Loss Trajectories and Related Factors in a 16-Week Mobile Obesity Intervention Program: Retrospective Observational Study

Weight Loss Trajectories and Related Factors in a 16-Week Mobile Obesity Intervention Program: Retrospective Observational Study

Authors of this article:

Ho Heon Kim1 Author Orcid Image ;   Youngin Kim1, 2 Author Orcid Image ;   Andreas Michaelides2 Author Orcid Image ;   Yu Rang Park1 Author Orcid Image
Article Authors Cited by (2) Tweetations (6) Metrics

Journals

  1. Zhou B, Roberts S, Das S, Naumova E. Weight Loss Trajectories and Short-Term Prediction in an Online Weight Management Program. Nutrients 2024;16(8):1224 View
  2. Weingott S, Parkinson J. The application of artificial intelligence in health communication development: A scoping review. Health Marketing Quarterly 2024:1 View