Evidence-Based Strategies in Weight Loss Mobile Apps
- Article:
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Peer-Reviewed Paper,
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- Description:
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Background: Physicians have limited time for weight-loss counseling, and there is a lack of
resources to which they can refer patients for...
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Background: Physicians have limited time for weight-loss counseling, and there is a lack of
resources to which they can refer patients for assistance with weight loss. Weight-loss mobile
applications (apps) have the potential to be a helpful tool, but the extent to which they include the
behavioral strategies included in evidence-based interventions is unknown.
Purpose: The primary aims of the study were to determine the degree to which commercial weightloss
mobile apps include the behavioral strategies included in evidence-based weight-loss
interventions, and to identify features that enhance behavioral strategies via technology.
Methods: Thirty weight-loss mobile apps, available on iPhone and/or Android platforms, were
coded for whether they included any of 20 behavioral strategies derived from an evidence-based
weight-loss program (i.e., Diabetes Prevention Program). Data on available apps were collected in
January 2012; data were analyzed in June 2012.
Results: The apps included on average 18.83% (SD¼13.24; range¼0%–65%) of the 20 strategies.
Seven of the strategies were not found in any app. The most common technology-enhanced features
were barcode scanners (56.7%) and a social network (46.7%).
Conclusions: Weight-loss mobile apps typically included only a minority of the behavioral
strategies found in evidence-based weight-loss interventions. Behavioral strategies that help improve
motivation, reduce stress, and assist with problem solving were missing across apps. Inclusion of
additional strategies could make apps more helpful to users who have motivational challenges.
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- Citation:
- American Journal of Preventive Medicine 2013; 45(5):576
- Authors:
- Sherry Pagoto, Kristin Schneider, Mirjana Jojic, Michelle DeBiasse, Devin Mann
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Copyright 2013 © Sherry Pagoto, Kristin Schneider, Mirjana Jojic, Michelle DeBiasse, Devin Mann. This pubcast is licensed under the terms of the
Creative Commons Attribution License 3.0, which permits unrestricted use, distribution,
and reproduction in any medium, provided the original author and source are credited.