A Theory-Based Exercise App to Enhance Exercise Adherence: A Pilot Study

BackgroundUse of mobile health (mHealth) technology is on an exponential rise. mHealth apps have the capability to reach a large number of individuals, but until now have lacked the integration of evidence-based theoretical constructs to increase exercise behavior in users. ObjectiveThe...

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Main Authors: Voth, Elizabeth C, Oelke, Nelly D, Jung, Mary E
Format: Article
Language:English
Published: JMIR Publications 2016-06-01
Series:JMIR mHealth and uHealth
Online Access:http://mhealth.jmir.org/2016/2/e62/
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author Voth, Elizabeth C
Oelke, Nelly D
Jung, Mary E
author_facet Voth, Elizabeth C
Oelke, Nelly D
Jung, Mary E
author_sort Voth, Elizabeth C
collection DOAJ
description BackgroundUse of mobile health (mHealth) technology is on an exponential rise. mHealth apps have the capability to reach a large number of individuals, but until now have lacked the integration of evidence-based theoretical constructs to increase exercise behavior in users. ObjectiveThe purpose of this study was to assess the effectiveness of a theory-based, self-monitoring app on exercise and self-monitoring behavior over 8 weeks. MethodsA total of 56 adults (mean age 40 years, SD 13) were randomly assigned to either receive the mHealth app (experimental; n=28) or not to receive the app (control; n=28). All participants engaged in an exercise goal-setting session at baseline. Experimental condition participants received weekly short message service (SMS) text messages grounded in social cognitive theory and were encouraged to self-monitor exercise bouts on the app on a daily basis. Exercise behavior, frequency of self-monitoring exercise behavior, self-efficacy to self-monitor, and self-management of exercise behavior were collected at baseline and at postintervention. ResultsEngagement in exercise bouts was greater in the experimental condition (mean 7.24, SD 3.40) as compared to the control condition (mean 4.74, SD 3.70, P=.03, d=0.70) at week 8 postintervention. Frequency of self-monitoring increased significantly over the 8-week investigation between the experimental and control conditions (P<.001, partial η2=.599), with participants in the experimental condition self-monitoring significantly more at postintervention (mean 6.00, SD 0.93) in comparison to those in the control condition (mean 1.95, SD 2.58, P<.001, d=2.10). Self-efficacy to self-monitor and perceived self-management of exercise behavior were unaffected by this intervention. ConclusionsThe successful integration of social cognitive theory into an mHealth exercise self-monitoring app provides support for future research to feasibly integrate theoretical constructs into existing exercise apps. In addition, findings provide preliminary support for theory-based apps to increase self-monitoring and exercise behavior in comparison to a control, no-app condition.
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spelling doaj.art-6b3cc7b43213461fb0972ac9dccadc212022-12-21T23:21:45ZengJMIR PublicationsJMIR mHealth and uHealth2291-52222016-06-0142e6210.2196/mhealth.4997A Theory-Based Exercise App to Enhance Exercise Adherence: A Pilot StudyVoth, Elizabeth COelke, Nelly DJung, Mary EBackgroundUse of mobile health (mHealth) technology is on an exponential rise. mHealth apps have the capability to reach a large number of individuals, but until now have lacked the integration of evidence-based theoretical constructs to increase exercise behavior in users. ObjectiveThe purpose of this study was to assess the effectiveness of a theory-based, self-monitoring app on exercise and self-monitoring behavior over 8 weeks. MethodsA total of 56 adults (mean age 40 years, SD 13) were randomly assigned to either receive the mHealth app (experimental; n=28) or not to receive the app (control; n=28). All participants engaged in an exercise goal-setting session at baseline. Experimental condition participants received weekly short message service (SMS) text messages grounded in social cognitive theory and were encouraged to self-monitor exercise bouts on the app on a daily basis. Exercise behavior, frequency of self-monitoring exercise behavior, self-efficacy to self-monitor, and self-management of exercise behavior were collected at baseline and at postintervention. ResultsEngagement in exercise bouts was greater in the experimental condition (mean 7.24, SD 3.40) as compared to the control condition (mean 4.74, SD 3.70, P=.03, d=0.70) at week 8 postintervention. Frequency of self-monitoring increased significantly over the 8-week investigation between the experimental and control conditions (P<.001, partial η2=.599), with participants in the experimental condition self-monitoring significantly more at postintervention (mean 6.00, SD 0.93) in comparison to those in the control condition (mean 1.95, SD 2.58, P<.001, d=2.10). Self-efficacy to self-monitor and perceived self-management of exercise behavior were unaffected by this intervention. ConclusionsThe successful integration of social cognitive theory into an mHealth exercise self-monitoring app provides support for future research to feasibly integrate theoretical constructs into existing exercise apps. In addition, findings provide preliminary support for theory-based apps to increase self-monitoring and exercise behavior in comparison to a control, no-app condition.http://mhealth.jmir.org/2016/2/e62/
spellingShingle Voth, Elizabeth C
Oelke, Nelly D
Jung, Mary E
A Theory-Based Exercise App to Enhance Exercise Adherence: A Pilot Study
JMIR mHealth and uHealth
title A Theory-Based Exercise App to Enhance Exercise Adherence: A Pilot Study
title_full A Theory-Based Exercise App to Enhance Exercise Adherence: A Pilot Study
title_fullStr A Theory-Based Exercise App to Enhance Exercise Adherence: A Pilot Study
title_full_unstemmed A Theory-Based Exercise App to Enhance Exercise Adherence: A Pilot Study
title_short A Theory-Based Exercise App to Enhance Exercise Adherence: A Pilot Study
title_sort theory based exercise app to enhance exercise adherence a pilot study
url http://mhealth.jmir.org/2016/2/e62/
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