The DOI matches its Crossref record; 16 of the 16 references it cites were found in a registry or an index.
Evidence-Based Strategies in Weight-Loss Mobile Apps
Abstract
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 weight-loss 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% (SD=13.24; range=0%-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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“To date, considerable attention has been paid to whether existing, often commercial, apps provide theory and evidence-based BCTs [66-71].”
From Understanding Usage of a Hybrid Website and Smartphone App for Weight Management: A Mixed-Methods Study (2014) · cites this paper as [71]
Citations
Cites
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Self-citationTranslating the diabetes prevention program into a hospital-based weight loss program.
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Self-citationThe current state of lifestyle intervention implementation research: where do we go next?
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Lifestyle modification approaches for the treatment of obesity in adults.
Wadden, T. A., Tronieri, J. S., & Butryn, M. L. (2020) · American Psychologist · doi:10.1037/amp0000517 · Cited by 661
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Who uses mobile phone health apps and does use matter? A secondary data analytics approach
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Behavior Change Techniques in Top-Ranked Mobile Apps for Physical Activity
Conroy, D. E., Yang, C., & Maher, J. P. (2014) · American Journal of Preventive Medicine · doi:10.1016/j.amepre.2014.01.010 · Cited by 466
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Metadata
- Authors
- Pagoto, S., Schneider, K., Jojic, M., DeBiasse, M., & Mann, D.
- Affiliations
- University of Massachusetts Chan Medical School (US)
- Rosalind Franklin University of Medicine and Science (US)
- Boston University (US)
- Corresponding author
- Pagoto, Sherry
- Venue
- American Journal of Preventive Medicine
- Publisher
- Elsevier BV
- Published
- 2013-11
- Volume
- 45
- Issue
- 5
- Pages
- 576-582
- ISSN
- 0749-3797 (ISSN-L)
- OpenAlex
- W2136238059
- Semantic Scholar
- fa6f01cc26d2fd9ca7e6e1101067d10d111965ab
- Cited by
- 325
- References
- 16
- Citations by year
- 2026: 4 · 2025: 6 · 2024: 11 · 2023: 15 · 2022: 17 · 2021: 24 · 2020: 26 · 2019: 34 · 2018: 45 · 2017: 37 · 2016: 51 · 2015: 30 · 2014: 24 · 2013: 1
- FWCI
- 63.97
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- American Journal of Preventive Medicine (publishedVersion)
- PubMed (publishedVersion)
- The Journal of the American Medical Association (JAMA) Network (American Medical Association) (submittedVersion)
- Topics
- Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
- Social Sciences › Psychology › Applied Psychology › Digital Mental Health Interventions
- Physical Sciences › Computer Science › Information Systems › Mobile Learning in Education
- Keywords
- behavioral strategies, Diabetes Prevention Program, barcode scanning, social networks, motivation, stress reduction, problem solving
- MeSH terms
- Humans, Motivation, Weight Loss, Health Behavior, Evidence-Based Medicine, Cell Phone, Weight Reduction Programs, Mobile Applications
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