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A Theory-Based Exercise App to Enhance Exercise Adherence: A Pilot Study
Elizabeth C Voth1, Nelly D Oelke, Mary E Jung
1School of Health and Exercise Sciences, Faculty of Health and Social Development, University of British Columbia: Okanagan, Kelowna, BC, Canada.
JMIR Mhealth and Uhealth
|June 17, 2016
Summary
A theory-based mobile health app significantly increased exercise and self-monitoring behaviors over 8 weeks. This study supports integrating social cognitive theory into mHealth apps for enhanced user engagement and physical activity.
Area of Science:
- Digital Health
- Behavioral Science
- Exercise Physiology
Background:
- Mobile health (mHealth) technology use is rapidly increasing.
- Existing mHealth apps often lack evidence-based theoretical frameworks to promote exercise.
- This gap limits the potential of mHealth to effectively influence user behavior.
Purpose of the Study:
- To evaluate the effectiveness of a theory-based, self-monitoring mobile health application.
- The study aimed to assess impacts on exercise and self-monitoring behaviors over an 8-week period.
Main Methods:
- 56 adults were randomized into an experimental (mHealth app) or control group.
- The experimental group received weekly text messages based on social cognitive theory and daily self-monitoring via the app.
- Exercise behavior, self-monitoring frequency, self-efficacy, and self-management were measured at baseline and postintervention.
Main Results:
- The experimental group showed significantly greater engagement in exercise bouts compared to the control group at 8 weeks.
- Self-monitoring frequency significantly increased in the experimental group versus the control group.
- Self-efficacy and perceived self-management of exercise behavior were not significantly affected by the intervention.
Conclusions:
- Integrating social cognitive theory into an mHealth exercise self-monitoring app is feasible and effective.
- Findings suggest theory-based mHealth apps can enhance self-monitoring and exercise behavior.
- This supports future research in developing evidence-based digital health interventions.
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