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

mHealth for Wellness, Behavior Change and Prevention (3495) Web-based and Mobile Health Interventions (4330) Mobile Health (mhealth) (3747) Behavior Change (928) Obesity and Nutrition as Public Health Problem (456) Innovations and Technology for Physical Activity Education (990) Innovations and Technology for Healthy Eating Education (516) Engagement with and Adherence to Digital Health Interventions, Law of Attrition (709)

Published on in Vol 11 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/45057, first published .
Woman eating a healthy salad while using her smartphone

Patterns and Predictors of Engagement With Digital Self-Monitoring During the Maintenance Phase of a Behavioral Weight Loss Program: Quantitative Study

Patterns and Predictors of Engagement With Digital Self-Monitoring During the Maintenance Phase of a Behavioral Weight Loss Program: Quantitative Study

Authors of this article:

Nicole Crane1 Author Orcid Image ;   Charlotte Hagerman1 Author Orcid Image ;   Olivia Horgan1 Author Orcid Image ;   Meghan Butryn1 Author Orcid Image
Article Authors Cited by (11) Tweetations (2) Metrics

Journals

  1. Gravina D, Keeler J, Akkese M, Bektas S, Fina P, Tweed C, Willmund G, Treasure J, Himmerich H. Randomized Controlled Trials to Treat Obesity in Military Populations: A Systematic Review and Meta-Analysis. Nutrients 2023;15(22):4778 View
  2. Hagerman C, Onu M, Crane N, Butryn M, Forman E. Psychological and behavioral responses to daily weight gain during behavioral weight loss treatment. Journal of Behavioral Medicine 2024;47(3):492 View
  3. Wang S, Xiong F, Liu Y, Feng Z. Exploring flavonoid intake and all-cause mortality in diverse health conditions: Insights from NHANES 2007–2010 and 2017–2018. Nutrition 2024;127:112556 View
  4. Schram S, Olson K, Panza E, Lillis J. The impact of weight self‐stigma on weight‐loss treatment engagement and outcome. Obesity Science & Practice 2024;10(6) View
  5. DuBois K, Delgado-Díaz D, McGrievy M, Valafar H, Monroe C, Wilcox S, Turner-McGrievy G. The Mobile lifestyle intervention for food and exercise (mLife) study: Protocol of a remote behavioral weight loss randomized clinical trial for type 2 diabetes prevention. Contemporary Clinical Trials 2025;148:107735 View
  6. Keseko E, Bell A, Turner-McGrievy G. Behavioral and Dietary Strategies for Weight Loss and Weight Loss Maintenance Among Black/African American Adults and the Potential Role of Media: A Narrative Review. Nutrients 2025;17(4):617 View
  7. 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
  8. Link E. A Scoping Review to Clarify the Concept of Information Avoidance and Its Postulated and Examined Consequences. Communication Research 2026;53(3):319 View
  9. Mercadal-Orfila G, Serrano J, Mijares T, Vidal L, Curran A, Herrera-Pérez S. Digital Monitoring of Pre-Exposure Prophylaxis Users Through Electronic Patient-Reported Outcome Measures and Electronic Patient-Reported Experience Measures: Multicenter Prospective Study on Feasibility, Safety, and Predictive Modeling of Digital Engagement. Journal of Medical Internet Research 2026;28:e87592 View
  10. Day K, You W, Porter K, Krukowski R, Reid A, Brock D, Tate D, Ritterband L, Zoellner J. Weight- and Sugar-Sweetened Beverage-Related Information Avoidance: Implications for Self-Monitoring in a Behavioral Intervention. Journal of Nutrition Education and Behavior 2026 View
  11. Reid A, Ritterband L, Porter K, Brock D, Frederick C, Zoellner J. Action Planning for Reducing Sugar-Sweetened Beverage Intake in Appalachian Adults: A Process Evaluation of a Digital Behavioral Health Intervention (Preprint). JMIR mHealth and uHealth 2025 View