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

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
  2. Cleare A, Gardner C, King A, Patel M. Yes I can! Exploring the impact of self-efficacy in a digital weight loss intervention. Annals of Behavioral Medicine 2025;59(1) View
  3. Patel M, King A, Rosas L, Bennett G, Collins L, Gallis J, Zeitlin A, Talreja P, Crosthwaite P, Collins K, Lim A, Kim T. Optimizing Self-Monitoring in a Digital Weight Loss Intervention (Spark): Protocol for a Factorial Randomized Trial. JMIR Research Protocols 2025;14:e75629 View
  4. Bizhanova Z, Burke L, Brooks M, Rockette-Wagner B, Kariuki J, Sereika S. Trajectories of Adherence to Study-Prescribed Physical Activity Goals in a mHealth Weight Loss Intervention. Sensors 2025;25(24):7595 View
  5. Wang D, Rojo‐Tirado M, Benito P, Rubio‐Arias J, Ramos‐Campo D, Marques M. Adherence to Behavioral Weight Management: A Scoping Review of Definitions, Measurement, and Components. Obesity Reviews 2025 View