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Experiences From an Internet-Delivered Treatment Program for Individuals With Obesity: Pilot Study. [PDF]
Anderzen-Carlsson A +4 more
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12-Month Weight Loss and Adherence Predictors in a Real-World UK Tirzepatide-Supported Digital Obesity Service: A Retrospective Cohort Analysis. [PDF]
Talay L, Hom J, Scott T, Ahuja N.
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Randomized Trial for Weight Loss Using a Digital Therapeutic Application
Journal of Diabetes Science and Technology, 2021Background:Smartphones present a near-ubiquitous channel through which structured lifestyle change can reduce risk or progression of the most common noncommunicable diseases. We explored whether a digital structured lifestyle program enhances weight loss.Methods:We randomized overweight and obese participants attending a four-month lifestyle change ...
Tryggvi Thorgeirsson +10 more
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PROMOTING ENGAGEMENT IN DIGITAL WEIGHT LOSS INTERVENTIONS
2022Obesity has reached epidemic proportions in the United States. Digital weight loss interventions are effective for weight loss, and engagement in digital weight loss interventions, especially self-monitoring, is crucial for success. Given that engagement with self-monitoring consistently declines over time, the purpose of this dissertation was to ...
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Supporting Weight Loss Through Digitally-Augmented Social Expression
2019In this paper, we present the design, prototyping and implementation of i-Ribbon—a wearable device designed to support weight loss through digitally-augmented social expression. Starting with an Obesity Awareness Ribbon, we introduced the exploration process and formation of the i-Ribbon concept.
Yang, Nan +4 more
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Pounds Off Digitally Study: A Randomized Podcasting Weight Loss Intervention
American journal of preventive medicine, 2009As obesity rates rise, new weight loss methods are needed. Little is known about the use of podcasting (audio files for a portable music player or computer) to promote weight loss, despite its growing popularity.
Gabrielle M, Turner-McGrievy +5 more
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Obesity, 2023
AbstractObjectiveThe aim of this study was to identify the levels of food‐tracking adherence that best predict ≥3%, ≥5%, and ≥10% weight loss at 6 months and to identify distinctive food‐tracking trajectories among participants in a 6‐month, commercial digital weight‐management program.MethodsThis study used data from 153 participants of a single‐arm ...
Ran Xu +4 more
openaire +2 more sources
AbstractObjectiveThe aim of this study was to identify the levels of food‐tracking adherence that best predict ≥3%, ≥5%, and ≥10% weight loss at 6 months and to identify distinctive food‐tracking trajectories among participants in a 6‐month, commercial digital weight‐management program.MethodsThis study used data from 153 participants of a single‐arm ...
Ran Xu +4 more
openaire +2 more sources

