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

mHealth for Wellness, Behavior Change and Prevention (2842) Engagement with and Adherence to Digital Health Interventions, Law of Attrition (482) Web-based and Mobile Health Interventions (3247) Obesity and Nutrition as Public Health Problem (298) Innovations and Technology for Physical Activity Education (737) Innovations and Technology for Healthy Eating Education (408) Mobile Health (mhealth) (2893) Behavior Change (699)

Published on in Vol 11 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/45057, first published .
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

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 (3) Tweetations (2) Metrics

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  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