Literature DB >> 28293619

The fitness of apps: a theory-based examination of mobile fitness app usage over 5 months.

Lynn Katherine Herrmann1, Jinsook Kim1.   

Abstract

BACKGROUND: There are thousands of fitness-related smartphone applications ("apps") available for free and purchase, but there is uncertainty if these apps help individuals achieve and maintain personal fitness. Technology usage attrition is also a concern among research studies on health technologies.
METHODS: Usage of three fitness apps was examined over 5 months to assess adherence and effectiveness. Initially, 64 participants downloaded three free apps available on Android and iOS and 47 remained in the study until posttest. With a one group pre-posttest design and checkpoints at months 1, 3, and 5, exercise and exercise with fitness apps were examined in the framework of the Theory of Planned Behavior (TPB) using a validated survey. Apps were selected based on their function from the Functional Triad. Perceived fitness was also measured. T-tests, sign tests, Fisher's exact tests, and linear and logistic regression were used to compare pre to posttests and users to non-users of the apps.
RESULTS: Forty-seven participants completed both pre and posttests. Individual item scores indicated no significant change pre to posttest except for decreases observed in usefulness of using apps for exercise (attitude) (-0.78, P<0.01), peer influence on exercise (subjective norm) (-0.51, P<0.05), peer influence on exercise with apps (subjective norm) (-1.02, P<0.01), perceived difficulties in exercising with apps (perceived behavioral control) (-1.29, P<0.001), and the expected frequency of exercise with apps over the next 2 weeks (behavioral intention) (P<0.0001 in a sign test). Subscale total scores indicated significant decreases in subjective norm regarding exercise (-0.72, P<0.05), subjective norm regarding exercise with apps (-1.72, P<0.01), and perceived behavioral control over exercising with apps (-2.56, P<0.01) between pre and posttest. When comparing app users (n=32) to non-users (n=15), there was only a significant difference in subscale total scores at posttest for attitude toward exercising using apps, which was significantly more favorable among users than non-users (32.3 vs. 27.6, P<0.05). Fitness perception did not change over 5 months regarding cardiovascular fitness, strength, endurance, flexibility, or body composition. Technology usage attrition was desirable at 31.9%.
CONCLUSIONS: App usage and effectiveness appears to have a connection to usefulness (attitude) and to perceived difficulties of exercising using apps (perceived behavioral control). Exercise and exercise using apps are not influenced by peer influence (subjective norm). Intention to exercise using these particular apps decreased (behavioral intention). Those who utilized the apps were more likely to have a positive attitude about the apps. Usefulness and perceived difficulties in particular should be considered with future app development. App usefulness and ease of use may be facilitated by using health behavior theories to guide development.

Entities:  

Keywords:  Physical fitness; behavior; mobile apps; technology; theory

Year:  2017        PMID: 28293619      PMCID: PMC5344171          DOI: 10.21037/mhealth.2017.01.03

Source DB:  PubMed          Journal:  Mhealth        ISSN: 2306-9740


  25 in total

1.  Translating exercise intentions into behavior: personality and social cognitive correlates.

Authors:  Ryan E Rhodes; Kerry S Courneya; Lee W Jones
Journal:  J Health Psychol       Date:  2003-07

2.  Desired features of smartphone applications promoting physical activity.

Authors:  Carolyn Rabin; Beth Bock
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Authors:  Logan T Cowan; Sarah A Van Wagenen; Brittany A Brown; Riley J Hedin; Yukiko Seino-Stephan; P Cougar Hall; Joshua H West
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Review 4.  Health behavior models in the age of mobile interventions: are our theories up to the task?

Authors:  William T Riley; Daniel E Rivera; Audie A Atienza; Wendy Nilsen; Susannah M Allison; Robin Mermelstein
Journal:  Transl Behav Med       Date:  2011-03       Impact factor: 3.046

Review 5.  The use of technology to promote physical activity in Type 2 diabetes management: a systematic review.

Authors:  J Connelly; A Kirk; J Masthoff; S MacRury
Journal:  Diabet Med       Date:  2013-12       Impact factor: 4.359

6.  The law of attrition.

Authors:  Gunther Eysenbach
Journal:  J Med Internet Res       Date:  2005-03-31       Impact factor: 5.428

Review 7.  Online prevention aimed at lifestyle behaviors: a systematic review of reviews.

Authors:  Leonie F M Kohl; Rik Crutzen; Nanne K de Vries
Journal:  J Med Internet Res       Date:  2013-07-16       Impact factor: 5.428

8.  Opportunities and challenges for smartphone applications in supporting health behavior change: qualitative study.

Authors:  Laura Dennison; Leanne Morrison; Gemma Conway; Lucy Yardley
Journal:  J Med Internet Res       Date:  2013-04-18       Impact factor: 5.428

Review 9.  Persuasive system design does matter: a systematic review of adherence to web-based interventions.

Authors:  Saskia M Kelders; Robin N Kok; Hans C Ossebaard; Julia E W C Van Gemert-Pijnen
Journal:  J Med Internet Res       Date:  2012-11-14       Impact factor: 5.428

10.  There's an app for that: content analysis of paid health and fitness apps.

Authors:  Joshua H West; P Cougar Hall; Carl L Hanson; Michael D Barnes; Christophe Giraud-Carrier; James Barrett
Journal:  J Med Internet Res       Date:  2012-05-14       Impact factor: 5.428

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Journal:  Digit Health       Date:  2018-05-09

3.  Theories Predicting End-User Acceptance of Telemedicine Use: Systematic Review.

Authors:  Lorenz Harst; Hendrikje Lantzsch; Madlen Scheibe
Journal:  J Med Internet Res       Date:  2019-05-21       Impact factor: 5.428

4.  A Mobile Application to Collect Daily Data on Preexposure Prophylaxis Adherence and Sexual Behavior Among Men Who Have Sex With Men: Use Over Time and Comparability With Conventional Data Collection.

Authors:  Renee N N Finkenflügel; Elske Hoornenborg; Roel C A Achterbergh; Elske Marra; Udi Davidovich; Henry J C de Vries; Maria Prins; Maarten F Schim van der Loeff
Journal:  Sex Transm Dis       Date:  2019-06       Impact factor: 2.830

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6.  Lifestyle E-Coaching for Physical Activity Level Improvement: Short-Term and Long-Term Effectivity in Low Socioeconomic Status Groups.

Authors:  Hanne Spelt; Thomas Tsiampalis; Pania Karnaki; Matina Kouvari; Dina Zota; Athena Linos; Joyce Westerink
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7.  Opportunities and Challenges of a Self-Management App to Support People With Spinal Cord Injury in the Prevention of Pressure Injuries: Qualitative Study.

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8.  Acceptance of Technologies for Aging in Place: A Conceptual Model.

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9.  User Engagement and Abandonment of mHealth: A Cross-Sectional Survey.

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10.  Exercise and Physical Activity eHealth in COVID-19 Pandemic: A Cross-Sectional Study of Effects on Motivations, Behavior Change Mechanisms, and Behavior.

Authors:  Gonzalo Marchant; Flavia Bonaiuto; Marino Bonaiuto; Emma Guillet Descas
Journal:  Front Psychol       Date:  2021-02-22
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