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

mHealth for Wellness, Behavior Change and Prevention (3315) Registered Report (791) mHealth for Patient Education (292) Engagement with and Adherence to Digital Health Interventions, Law of Attrition (638) Mobile Health (mhealth) (3464) Behavior Change (863) Obesity and Nutrition as Public Health Problem (397)

Published on in Vol 12 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/45942, first published .
Mobile App Intervention of a Randomized Controlled Trial for Patients With Obesity and Those Who Are Overweight in General Practice: User Engagement Analysis Quantitative Study

Mobile App Intervention of a Randomized Controlled Trial for Patients With Obesity and Those Who Are Overweight in General Practice: User Engagement Analysis Quantitative Study

Mobile App Intervention of a Randomized Controlled Trial for Patients With Obesity and Those Who Are Overweight in General Practice: User Engagement Analysis Quantitative Study

Authors of this article:

Vera Helen Buss1 Author Orcid Image ;   Margo Barr1 Author Orcid Image ;   Sharon M Parker1 Author Orcid Image ;   Alamgir Kabir1 Author Orcid Image ;   Annie Y S Lau2 Author Orcid Image ;   Siaw-Teng Liaw3 Author Orcid Image ;   Nigel Stocks4 Author Orcid Image ;   Mark F Harris1 Author Orcid Image
Article Authors Cited by (2) Tweetations (5) Metrics

Journals

  1. Liu C, Fuller-Tyszkiewicz M, Linardon J, Jarman H, Messer M. Do Individual Differences in Self-regulated Learning Predict Digital Health Intervention Engagement? A Decision Tree Analysis Approach. Journal of Technology in Behavioral Science 2025 View
  2. Wangler J, Jansky M. Prerequisites for primary care in obesity counselling and management: a quantitative, exploratory survey of general practitioners in the federal Republic of Germany. BMC Primary Care 2025;26(1) View