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

Mobile Health (mhealth) (4993) Web-based and Mobile Health Interventions (5697) mHealth for Wellness, Behavior Change and Prevention (4185) Obesity and Nutrition as Public Health Problem (572) Innovations and Technology for Healthy Eating Education (548) Engagement with and Adherence to Digital Health Interventions, Law of Attrition (786)

Published on in Vol 26 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/53294, first published .
Person checking smartwatch and smartphone health app data

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 (9) Tweetations (9) 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
  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 2026;27(5) View
  6. Pawellek S, Estorff I, Wulff H, Wendeborn T. The Digital Competences of Exercise Therapists in Obesity Care: A Step Towards Digital Sovereignty Assessed with the DigCompThExO Questionnaire. Healthcare 2026;14(8):1037 View
  7. Choi S, Willis E, Smitherman A, Martin S, Tate D, Valle C. Disentangling Positive Affect Heterogeneity in a Digital Physical Activity Intervention for Young Adult Cancer Survivors: A Group‐Based Multi‐Trajectory Modeling Approach. Psycho-Oncology 2026;35(5) View
  8. Yang Y, Liu Z, Zhang J. Weight Reduction via Lifestyle Intervention Improves Androgen Levels and Glucose Metabolism in Women of Reproductive Age with Hyperandrogenism: A Real-World Observational Study. Journal of Clinical Medicine 2026;15(12):4795 View
  9. Farias S, Fox J, Aralis H, Harvey D, Chan M, Ryan M, Weakley A, Rahman S, Luna C, Schmitter-Edgecombe M. Six-month outcomes of a multidomain RCT lifestyle and memory support intervention among older adults with subjective cognitive decline (Brain Boosters). International Psychogeriatrics 2026:100231 View