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

mHealth for Wellness, Behavior Change and Prevention (3441) Mobile Health (mhealth) (3672) Usability of Apps and User Perceptions of mHealth (1244) Instruments and Questionnaires for Nutrition and Food Intake (229) Innovations and Technology for Healthy Eating Education (512)

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 (18) Tweetations (1) Metrics

Journals

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  2. Bretschneider M, Klásek J, Karbanová M, Timpel P, Herrmann S, Schwarz P. Impact of a Digital Lifestyle Intervention on Diabetes Self-Management: A Pilot Study. Nutrients 2022;14(9):1810 View
  3. Crochiere R, Abber S, Taylor L, Sala M, Schumacher L, Goldstein S, Forman E. Momentary predictors of dietary lapse from a mobile health weight loss intervention. Journal of Behavioral Medicine 2022;45(2):324 View
  4. Patel M, Cleare A, Smith C, Rosas L, King A. Detailed Versus Simplified Dietary Self-monitoring in a Digital Weight Loss Intervention Among Racial and Ethnic Minority Adults: Fully Remote, Randomized Pilot Study. JMIR Formative Research 2022;6(12):e42191 View
  5. Chwyl C, Crochiere R, Forman E. The role of everyday activities on likelihood of dietary lapse: an ecological momentary assessment study. Journal of Behavioral Medicine 2023;46(3):532 View
  6. Chew H, Rajasegaran N, Chin Y, Chew W, Kim K. Effectiveness of Combined Health Coaching and Self-Monitoring Apps on Weight-Related Outcomes in People With Overweight and Obesity: Systematic Review and Meta-analysis. Journal of Medical Internet Research 2023;25:e42432 View
  7. Waring M, Pagoto S, Moore Simas T, Blackman Carr L, Eamiello M, Libby B, Rudin L, Heersping G. Delivering a Postpartum Weight Loss Intervention via Facebook or In-Person Groups: Results From a Randomized Pilot Feasibility Trial. JMIR mHealth and uHealth 2023;11:e41545 View
  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
  10. Seid A, Fufa D, Bitew Z. The use of internet-based smartphone apps consistently improved consumers' healthy eating behaviors: a systematic review of randomized controlled trials. Frontiers in Digital Health 2024;6 View
  11. Metzendorf M, Wieland L, Richter B. Mobile health (m-health) smartphone interventions for adolescents and adults with overweight or obesity. Cochrane Database of Systematic Reviews 2024;2024(2) View
  12. Rashid A, Syed Saadun Tarek Wafa S, Talib R, Bakar N. Interactive Malaysian Childhood Healthy Lifestyle (i-MaCHeL) programme: a single-arm pilot study. Pilot and Feasibility Studies 2024;10(1) View
  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
  17. Dugas K, Giroux M, Guerroudj A, Leger J, Rouhafzay A, Rouhafzay G, Jbilou J. Calorie-Counting Apps for Monitoring and Managing Calorie Intake in Adults Living With Weight-Related Chronic Diseases: Decade-Long Scoping Review (2013-2024). JMIR mHealth and uHealth 2026;14:e64139 View
  18. 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 2025 View