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Byte by bite: Use of a mobile Bite Counter and weekly behavioral challenges to promote weight loss

Overview of attention for article published in Smart Health, April 2017
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Title
Byte by bite: Use of a mobile Bite Counter and weekly behavioral challenges to promote weight loss
Published in
Smart Health, April 2017
DOI 10.1016/j.smhl.2017.03.004
Pubmed ID
Authors

Gabrielle M. Turner-McGrievy, Alycia Boutté, Anthony Crimarco, Sara Wilcox, Brent E. Hutto, Adam Hoover, Eric R. Muth

Abstract

The goal of this study was to examine the usability and feasibility of the mobile Bite Counter (a watch-like device that detects when a user consumes food or beverage) and the impact of weekly behavioral challenges on diet and physical activity outcomes. Overweight (mean BMI 31.1±4.9 kg/m(2)) adults (n=12) were recruited to participate in a four-week study to test both the usability and feasibility of using the device as part of a behavioral weight loss intervention. Participants were instructed to self-monitor number of bites/day using the Bite Counter, attend weekly group sessions, and listen to weekly podcasts. Participants were given weekly challenges: use a daily bite limit goal (wk1), turn off Bite Counter when fruits/vegetables are consumed (wk2), self-monitor kilocalories vs. bites (wk3), and receive a 10 bites/day bonus for every 30 minutes of exercise (wk4). Participants lost a mean of -1.2±1.3 kg. Only the wk3 challenge produced significant differences in kcal change (wk3 1302±120 kcal/day vs. baseline 2042±302 kcal/d, P<0.05). Bite Counter use was significantly correlated with weight loss (r= -0.58, P<0.05). Future studies should examine the use of the Bite Counter and impact of behavioral challenges over a longer period of time in a controlled study.

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Geographical breakdown

Country Count As %
Unknown 60 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 14 23%
Student > Ph. D. Student 10 17%
Student > Bachelor 7 12%
Student > Doctoral Student 4 7%
Researcher 3 5%
Other 10 17%
Unknown 12 20%
Readers by discipline Count As %
Medicine and Dentistry 8 13%
Computer Science 7 12%
Nursing and Health Professions 6 10%
Psychology 6 10%
Engineering 4 7%
Other 12 20%
Unknown 17 28%