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Cited by 325Mobile Health and mHealth ApplicationsDigital Mental Health InterventionsMobile Learning in Education

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

Pagoto, Sherry, Schneider, Kristin, Jojic, Mirjana, DeBiasse, Michele, Mann, Devin·2013·American Journal of Preventive Medicine
DOI 10.1016/j.amepre.2013.04.025
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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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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
ORCID
Venue
American Journal of Preventive Medicine
Publisher
Elsevier BV
Published
2013-11
Volume
45
Issue
5
Pages
576-582
ISSN
0749-3797 (ISSN-L)
DOI
10.1016/j.amepre.2013.04.025
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
Licence
www.elsevier.com/tdm/userlicense/1.0/ (tdm)
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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