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

Mobile Health (mhealth) (2972) Web-based and Mobile Health Interventions (3341) Innovations and Technology for Healthy Eating Education (422) Obesity and Nutrition as Public Health Problem (307) mHealth for Wellness, Behavior Change and Prevention (2909) Engagement with and Adherence to Digital Health Interventions, Law of Attrition (497)

Published on in Vol 26 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/53294, first published .
Understanding Heterogeneity in Individual Responses to Digital Lifestyle Intervention Through Self-Monitoring Adherence Trajectories in Adults With Overweight or Obesity: Secondary Analysis of a 6-Month Randomized Controlled Trial

Understanding Heterogeneity in Individual Responses to Digital Lifestyle Intervention Through Self-Monitoring Adherence Trajectories in Adults With Overweight or Obesity: Secondary Analysis of a 6-Month Randomized Controlled Trial

Understanding Heterogeneity in Individual Responses to Digital Lifestyle Intervention Through Self-Monitoring Adherence Trajectories in Adults With Overweight or Obesity: Secondary Analysis of a 6-Month Randomized Controlled Trial

Authors of this article:

Shiyu Li1 Author Orcid Image ;   Yan Du2 Author Orcid Image ;   Hongyu Miao3 Author Orcid Image ;   Kumar Sharma4 Author Orcid Image ;   Chengdong Li3 Author Orcid Image ;   Zenong Yin5 Author Orcid Image ;   Bradley Brimhall6 Author Orcid Image ;   Jing Wang3 Author Orcid Image
Article Authors Cited by (1) Tweetations (11) Metrics

Journals

  1. Li S, Du Y, Meireles C, Song D, Sharma K, Yin Z, Brimhall B, Wang J. Decoding heterogeneity in data-driven self-monitoring adherence trajectories in digital lifestyle interventions for weight loss: a qualitative study. BMC Digital Health 2024;2(1) View