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

Web-based and Mobile Health Interventions (3342) Engagement with and Adherence to Digital Health Interventions, Law of Attrition (498) Mobile Health (mhealth) (2972) mHealth for Wellness, Behavior Change and Prevention (2910) Obesity and Nutrition as Public Health Problem (307) Telehealth and Telemonitoring (1709) Psychological, -behavioural, -social, and/or -cultural Experiments and Interventions (53) Secondary Use of Clinical Data for Research and Surveillance (373)

Published on in Vol 26 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/45469, first published .
App Engagement as a Predictor of Weight Loss in Blended-Care Interventions: Retrospective Observational Study Using Large-Scale Real-World Data

App Engagement as a Predictor of Weight Loss in Blended-Care Interventions: Retrospective Observational Study Using Large-Scale Real-World Data

App Engagement as a Predictor of Weight Loss in Blended-Care Interventions: Retrospective Observational Study Using Large-Scale Real-World Data

Authors of this article:

Marco Lehmann1 Author Orcid Image ;   Lucy Jones2 Author Orcid Image ;   Felix Schirmann1 Author Orcid Image
Article Authors Cited by (2) Tweetations (5) Metrics

Journals

  1. Arigo D, Jake-Schoffman D, Pagoto S. The recent history and near future of digital health in the field of behavioral medicine: an update on progress from 2019 to 2024. Journal of Behavioral Medicine 2024 View
  2. Hu Y, Wang J, Zhou J, Gu Y, Nicholas S, Maitland E. Preferences of Individuals With Obesity for Online Medical Consultation in Different Demand Scenarios: Discrete Choice Experiments. Journal of Medical Internet Research 2024;26:e53140 View