ArticlemHealth2017
The fitness of apps: a theory-based examination of mobile fitness app usage over 5 months.
Article in mHealth, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
20 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Theories Predicting End-User Acceptance of Telemedicine Use: Systematic Review.Journal of medical Internet research · 2019Pooled it
- Lifestyle E-Coaching for Physical Activity Level Improvement: Short-Term and Long-Term Effectivity in Low Socioeconomic Status Groups.International journal of environmental research and public health · 2019Trial
- Analysis of Training Behavior in Users of a Fitness App: Cross-Sectional Study.JMIR mHealth and uHealth · 2026Article
- Mobile applications, physical activity, and health promotion.BMC health services research · 2025Article
- Information spread behavior of clubhouse: A value-attitude-behavior model perspective.Heliyon · 2024Article
- Home-Based Intelligent Exercise System for Seniors' Healthcare: The Example of Golf Croquet.Sports (Basel, Switzerland) · 2023Article
- A Smartphone Physical Activity App for Patients in Alcohol Treatment: Single-Arm Feasibility Trial.JMIR formative research · 2022Article
- A Sensor-Controlled Digital Game for Heart Failure Self-Care Based on Behavioral Change Frameworks.SeGAH ... IEEE ... International Conference on Serious Games and Applications for Health : book of proceedings. IEEE International Conference on Serious Games and Applications for Health · 2022Article
- A Comparative Utility Score for Digital Health Tools.Journal of medical systems · 2022Article
- Personalization of Intervention Timing for Physical Activity: Scoping Review.JMIR mHealth and uHealth · 2022Article
- User Engagement and Abandonment of mHealth: A Cross-Sectional Survey.Healthcare (Basel, Switzerland) · 2022Article
- Feasibility of a Sensor-Controlled Digital Game for Heart Failure Self-management: Randomized Controlled Trial.JMIR serious games · 2021Article
- Smartphone-Based Interventions for Physical Activity Promotion: Scoping Review of the Evidence Over the Last 10 Years.JMIR mHealth and uHealth · 2021Article
- Acceptance of Technologies for Aging in Place: A Conceptual Model.Journal of medical Internet research · 2021Article
- Exercise and Physical Activity eHealth in COVID-19 Pandemic: A Cross-Sectional Study of Effects on Motivations, Behavior Change Mechanisms, and Behavior.Frontiers in psychology · 2021Article
- Opportunities and Challenges of a Self-Management App to Support People With Spinal Cord Injury in the Prevention of Pressure Injuries: Qualitative Study.JMIR mHealth and uHealth · 2020Article
- How Are Wearable Activity Trackers Adopted in Older Adults? Comparison between Subjective Adoption Attitudes and Physical Activity Performance.International journal of environmental research and public health · 2020Article
- 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.Sexually transmitted diseases · 2019Article
- The evidence gap.Nature biotechnology · 2018Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThere 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.
methodsUsage 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.
resultsForty-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
conclusionsApp 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.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.