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

Formative Evaluation of Digital Health Interventions (2803) Web-based and Mobile Health Interventions (3621) mHealth for Wellness, Behavior Change and Prevention (3091) Innovations and Technology for Healthy Eating Education (447) mHealth for Treatment Adherence (432) Innovations and Technology for Physical Activity Education (813)

Published on in Vol 6, No 2 (2022): February

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/33603, first published .
Consistency With and Disengagement From Self-monitoring of Weight, Dietary Intake, and Physical Activity in a Technology-Based Weight Loss Program: Exploratory Study

Consistency With and Disengagement From Self-monitoring of Weight, Dietary Intake, and Physical Activity in a Technology-Based Weight Loss Program: Exploratory Study

Consistency With and Disengagement From Self-monitoring of Weight, Dietary Intake, and Physical Activity in a Technology-Based Weight Loss Program: Exploratory Study

Authors of this article:

Chelsea A Carpenter1 Author Orcid Image ;   Abraham Eastman1 Author Orcid Image ;   Kathryn M Ross1 Author Orcid Image
Article Authors Cited by (10) Tweetations (4) Metrics

Journals

  1. Zoellner J, Reid A, Porter K, Frederick C, Hilgart M, Ritterband L. Development of a Digital Behavioral Intervention to Reduce the Consumption of Sugar-Sweetened Beverages Among Rural Appalachian Adults: Multiphased, Human-Centered Design Approach. JMIR Human Factors 2023;10:e41262 View
  2. Auster-Gussman L, Rikhy M, Lockwood K, Branch O, Graham S. The Effects of Providing a Connected Scale in an App-Based Digital Health Program: Cross-sectional Examination. JMIR mHealth and uHealth 2023;11:e40865 View
  3. Buss V, Varnfield M, Harris M, Barr M. Remotely Conducted App-Based Intervention for Cardiovascular Disease and Diabetes Risk Awareness and Prevention: Single-Group Feasibility Trial. JMIR Human Factors 2022;9(3):e38469 View
  4. Li S, Du Y, Miao H, Sharma K, Li C, Yin Z, Brimhall B, Wang J. 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. Journal of Medical Internet Research 2024;26:e53294 View
  5. Arroyo K, Carpenter C, Krukowski R, Ross K. Identification of minimum thresholds for dietary self‐monitoring to promote weight‐loss maintenance. Obesity 2024;32(4):655 View
  6. 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
  7. Silveri O, Gallardo N, Chandy R, Edwards-Hampton S, Feldman S. Accountability Frameworks in Medical Weight Loss Programs: A Comprehensive Literature Review. Cureus 2024 View
  8. Burke L, Bizhanova Z, Conroy M, Cheng J, Beatrice B, Kariuki J, Parmanto B, Sereika S. Adherence to self‐monitoring and behavioral goals is associated with improved weight loss in an mHealth randomized‐controlled trial. Obesity 2025;33(3):478 View
  9. Ross K, Swanson T, Arroyo K, Shetty A, Shankar M, Krukowski R. Within-week and within-year patterns in self-monitoring of dietary intake in adults with obesity participating in a behavioral weight loss program. Health Psychology and Behavioral Medicine 2025;13(1) View
  10. Lin H, Yang M, Zhou Z, Zhang Y, Deng N. Exploring the Dynamics of Dietary Self-Monitoring Adherence Among Participants in a Digital Behavioral Weight Loss Program: Model Development Study. Journal of Medical Internet Research 2025;27:e65431 View