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

mHealth for Wellness, Behavior Change and Prevention (3315) Usability of Apps and User Perceptions of mHealth (1188) Innovations and Technology for Healthy Eating Education (487) Instruments and Questionnaires for Nutrition and Food Intake (211) Mobile Health (mhealth) (3464)

Published on in Vol 9, No 4 (2021): April

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/24249, first published .
Slip Buddy App for Weight Management: Randomized Feasibility Trial of a Dietary Lapse Tracking App

Slip Buddy App for Weight Management: Randomized Feasibility Trial of a Dietary Lapse Tracking App

Slip Buddy App for Weight Management: Randomized Feasibility Trial of a Dietary Lapse Tracking App

Authors of this article:

Sherry Pagoto1 Author Orcid Image ;   Bengisu Tulu2 Author Orcid Image ;   Molly E Waring1 Author Orcid Image ;   Jared Goetz1 Author Orcid Image ;   Jessica Bibeau1 Author Orcid Image ;   Joseph Divito1 Author Orcid Image ;   Laurie Groshon1 Author Orcid Image ;   Matthew Schroeder1 Author Orcid Image
Article Authors Cited by (17) Tweetations (1) Metrics

Journals

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  8. Crane N, Hagerman C, Horgan O, Butryn M. Patterns and Predictors of Engagement With Digital Self-Monitoring During the Maintenance Phase of a Behavioral Weight Loss Program: Quantitative Study. JMIR mHealth and uHealth 2023;11:e45057 View
  9. Brenton‐Peters J, Consedine N, Cavadino A, Roy R, Ginsberg K, Serlachius A. Finding kindness: A randomized controlled trial of an online self‐compassion intervention for weight management (SC4WM). British Journal of Health Psychology 2024;29(1):37 View
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  13. Eaton C, Vallejo N, McDonald X, Wu J, Rodríguez R, Muthusamy N, Mathioudakis N, Riekert K. User Engagement With mHealth Interventions to Promote Treatment Adherence and Self-Management in People With Chronic Health Conditions: Systematic Review. Journal of Medical Internet Research 2024;26:e50508 View
  14. Porter A, Jago R, Robles L, Cawley E, Rogers P, Ferriday D, Brunstrom J. Investigating the psychology of eating after exercise — a scoping review. Journal of Nutritional Science 2025;14 View
  15. Chew H, Shridhar M, Kuang H, Wang J, Furqan M. Momentary dietary lapse prediction for obesity management: Developing the Eating Behaviour Lapse Inventory Survey Singapore (eBLISS) and a machine learning lapse prediction model. Computer Methods and Programs in Biomedicine 2025;269:108880 View
  16. 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
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