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]
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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
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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