UMass Worcester PRC Publications
UMMS Affiliation
UMass Worcester Prevention Research Center; Department of Medicine, Division of Preventive and Behavioral Medicine
Publication Date
2017-01-04
Document Type
Conference Proceeding
Disciplines
Behavior and Behavior Mechanisms | Community Health and Preventive Medicine | Health Psychology | Preventive Medicine | Telemedicine
Abstract
Obesity is one of the top health issues around the globe. Rapid adoption of smartphones presents an opportunity for delivering technology-based interventions that are designed to tackle behaviors that contribute to weight gain. Research shows that the vast majority of weight loss apps in the market place do not go beyond deploying tracking based strategies that are burdensome to the users. In this study, we present a new mobile app and an intervention system called SlipBuddy that puts less burden on users and implements stimulus control strategy to help users lose weight. We describe the SlipBuddy system in detail and present the results of the first phase of a pilot study. Our findings indicate that a mobile app that simply helps users identify and track overeating episodes can potentially result in weight loss.
Keywords
mobile app, mHealth, weight loss, behavioral change, decision trees
DOI of Published Version
10.24251/HICSS.2017.436
Source
Tulu B, Ruiz C, Allard J, Acheson J, Busch A, Roskuski A, Heeringa G, Jaskula V, Oleski J, Pagoto S. Slip Buddy: A mobile health intervention to prevent overeating. Proceedings of the 50th Hawaii International Conference on System Sciences. 2017. doi:10.24251/HICSS.2017.436. Link to article on conference website
Journal/Book/Conference Title
Hawaii International Conference on System Sciences (HICSS) 2017
Repository Citation
Tulu B, Ruiz C, Allard J, Acheson J, Busch A, Roskusku A, Heeringa G, Jaskula V, Oleski J, Pagoto SL. (2017). SlipBuddy: A Mobile Health Intervention to Prevent Overeating. UMass Worcester PRC Publications. https://doi.org/10.24251/HICSS.2017.436. Retrieved from https://escholarship.umassmed.edu/prc_pubs/71
Creative Commons License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.
Included in
Behavior and Behavior Mechanisms Commons, Community Health and Preventive Medicine Commons, Health Psychology Commons, Preventive Medicine Commons, Telemedicine Commons
Comments
Presented at the 50th Hawaii International Conference on System Sciences (HICSS) 2017.