Literature DB >> 24139771

Mobile applications for weight management: theory-based content analysis.

Kristen M J Azar1, Lenard I Lesser, Brian Y Laing, Janna Stephens, Magi S Aurora, Lora E Burke, Latha P Palaniappan.   

Abstract

BACKGROUND: The use of smartphone applications (apps) to assist with weight management is increasingly prevalent, but the quality of these apps is not well characterized.
PURPOSE: The goal of the study was to evaluate diet/nutrition and anthropometric tracking apps based on incorporation of features consistent with theories of behavior change.
METHODS: A comparative, descriptive assessment was conducted of the top-rated free apps in the Health and Fitness category available in the iTunes App Store. Health and Fitness apps (N=200) were evaluated using predetermined inclusion/exclusion criteria and categorized based on commonality in functionality, features, and developer description. Four researchers then evaluated the two most popular apps in each category using two instruments: one based on traditional behavioral theory (score range: 0-100) and the other on the Fogg Behavioral Model (score range: 0-6). Data collection and analysis occurred in November 2012.
RESULTS: Eligible apps (n=23) were divided into five categories: (1) diet tracking; (2) healthy cooking; (3) weight/anthropometric tracking; (4) grocery decision making; and (5) restaurant decision making. The mean behavioral theory score was 8.1 (SD=4.2); the mean persuasive technology score was 1.9 (SD=1.7). The top-rated app on both scales was Lose It! by Fitnow Inc.
CONCLUSIONS: All apps received low overall scores for inclusion of behavioral theory-based strategies.
© 2013 American Journal of Preventive Medicine.

Entities:  

Mesh:

Year:  2013        PMID: 24139771     DOI: 10.1016/j.amepre.2013.07.005

Source DB:  PubMed          Journal:  Am J Prev Med        ISSN: 0749-3797            Impact factor:   5.043


  128 in total

1.  Towards research-tested smartphone applications for preventing breast cancer.

Authors:  Steven S Coughlin; Herpreet Thind; Benyuan Liu; Lt Col Candy Wilson
Journal:  Mhealth       Date:  2016-06-21

Review 2.  Current Science on Consumer Use of Mobile Health for Cardiovascular Disease Prevention: A Scientific Statement From the American Heart Association.

Authors:  Lora E Burke; Jun Ma; Kristen M J Azar; Gary G Bennett; Eric D Peterson; Yaguang Zheng; William Riley; Janna Stephens; Svati H Shah; Brian Suffoletto; Tanya N Turan; Bonnie Spring; Julia Steinberger; Charlene C Quinn
Journal:  Circulation       Date:  2015-08-13       Impact factor: 29.690

Review 3.  Characteristics of Smartphone Applications for Nutrition Improvement in Community Settings: A Scoping Review.

Authors:  Emma Tonkin; Julie Brimblecombe; Thomas Philip Wycherley
Journal:  Adv Nutr       Date:  2017-03-15       Impact factor: 8.701

4.  Mobile applications for obesity and weight management: current market characteristics.

Authors:  C K Nikolaou; M E J Lean
Journal:  Int J Obes (Lond)       Date:  2016-10-26       Impact factor: 5.095

5.  College Students' Mobile Telephone Use Is Positively Associated With Sedentary Behavior.

Authors:  Jacob E Barkley; Andrew Lepp; Saba Salehi-Esfahani
Journal:  Am J Lifestyle Med       Date:  2016-06-23

Review 6.  Evaluating and selecting mobile health apps: strategies for healthcare providers and healthcare organizations.

Authors:  Edwin D Boudreaux; Molly E Waring; Rashelle B Hayes; Rajani S Sadasivam; Sean Mullen; Sherry Pagoto
Journal:  Transl Behav Med       Date:  2014-12       Impact factor: 3.046

Review 7.  What do we know about mobile applications for diabetes self-management? A review of reviews.

Authors:  Megan Hood; Rebecca Wilson; Joyce Corsica; Lauren Bradley; Diana Chirinos; Amanda Vivo
Journal:  J Behav Med       Date:  2016-07-13

Review 8.  Is a Picture Worth a Thousand Words? Few Evidence-Based Features of Dietary Interventions Included in Photo Diet Tracking Mobile Apps for Weight Loss.

Authors:  Sarah Hales; Caroline Dunn; Sara Wilcox; Gabrielle M Turner-McGrievy
Journal:  J Diabetes Sci Technol       Date:  2016-11-01

9.  Use of Mobile Health Applications for Health-Seeking Behavior Among US Adults.

Authors:  Soumitra S Bhuyan; Ning Lu; Aastha Chandak; Hyunmin Kim; David Wyant; Jay Bhatt; Satish Kedia; Cyril F Chang
Journal:  J Med Syst       Date:  2016-05-04       Impact factor: 4.460

10.  A quality review of smartphone applications for the management of pain.

Authors:  Pamela Portelli; Clare Eldred
Journal:  Br J Pain       Date:  2016-04-19
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