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Usage Styles of Physical Activity Apps are Associated with Long-Term Activity Levels: A 6-Month Prospective Analysis.

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Title: Usage Styles of Physical Activity Apps are Associated with Long-Term Activity Levels: A 6-Month Prospective Analysis.
Authors: Takano, Keisuke1 (AUTHOR) keisuke.takano@aist.go.jp, Oba, Takeyuki1 (AUTHOR), Katahira, Kentaro1 (AUTHOR), Kimura, Kenta1,2 (AUTHOR)
Source: Inquiry (00469580). 4/25/2026, Vol. 63, p1-12. 12p.
Subject Terms: *Behavior modification, *Information resources, *Behavior, *Longitudinal method, *Comparative studies, *Interpersonal relations, *Access to information, Mobile apps, Cross-sectional method, Research funding, Prediction models, Questionnaires, Health, Logistic regression analysis, Exercise intensity, Odds ratio, Health behavior, Confidence intervals, Physical activity
Geographic Terms: Japan
Abstract: Mobile health technology plays an important role in improving physical activity (PA). However, commercial healthcare applications for smartphones (apps) have poor retention, and understanding how people adopt and integrate app use in daily life is critical. We investigated the use patterns of PA apps and explored the usage styles that are predictive of continuation and discontinuation of use and of changes in PA levels over time. We analyzed 2-wave longitudinal survey data concerning commercial PA-app use, which included 4465 respondents (mean age = 50.7; 1932 women) identified as PA-app users at baseline. The participants completed a questionnaire regarding how and for what purpose they used the apps. A 6-month follow-up survey was administered that asked participants about their current app use and PA levels. At baseline, 2737 were identified as long-term users of a PA app (ie, use for more than 6 months). Long-term users reported appreciating the lifestyle management aspects (eg, constant accessibility to health information, tracking, and monitoring PA), whereas short-term users indicated that they appreciated their app's distraction and building relationships (eg, finding like-minded peers) aspects. Prospective analyses (logistic regressions) demonstrated that lifestyle management was associated with continuing to use the app and increased PA levels at the 6-month follow-up, whereas distraction predicted discontinuing the use of the app and decreased PA levels. These findings suggest that on-purpose use (ie, using a PA app to improve one's PA) is the key feature of being in an appropriation state, whereas off-purpose use may hinder app use, leading to less active lifestyles. The implications of appropriation theory and practice are also discussed. [ABSTRACT FROM AUTHOR]
Copyright of Inquiry (00469580) is the property of Sage Publications Inc. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Education Research Complete
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  Data: Usage Styles of Physical Activity Apps are Associated with Long-Term Activity Levels: A 6-Month Prospective Analysis.
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  Data: <searchLink fieldCode="AR" term="%22Takano%2C+Keisuke%22">Takano, Keisuke</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> keisuke.takano@aist.go.jp</i><br /><searchLink fieldCode="AR" term="%22Oba%2C+Takeyuki%22">Oba, Takeyuki</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Katahira%2C+Kentaro%22">Katahira, Kentaro</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Kimura%2C+Kenta%22">Kimura, Kenta</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22Inquiry+%2800469580%29%22">Inquiry (00469580)</searchLink>. 4/25/2026, Vol. 63, p1-12. 12p.
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  Data: *<searchLink fieldCode="DE" term="%22Behavior+modification%22">Behavior modification</searchLink><br />*<searchLink fieldCode="DE" term="%22Information+resources%22">Information resources</searchLink><br />*<searchLink fieldCode="DE" term="%22Behavior%22">Behavior</searchLink><br />*<searchLink fieldCode="DE" term="%22Longitudinal+method%22">Longitudinal method</searchLink><br />*<searchLink fieldCode="DE" term="%22Comparative+studies%22">Comparative studies</searchLink><br />*<searchLink fieldCode="DE" term="%22Interpersonal+relations%22">Interpersonal relations</searchLink><br />*<searchLink fieldCode="DE" term="%22Access+to+information%22">Access to information</searchLink><br /><searchLink fieldCode="DE" term="%22Mobile+apps%22">Mobile apps</searchLink><br /><searchLink fieldCode="DE" term="%22Cross-sectional+method%22">Cross-sectional method</searchLink><br /><searchLink fieldCode="DE" term="%22Research+funding%22">Research funding</searchLink><br /><searchLink fieldCode="DE" term="%22Prediction+models%22">Prediction models</searchLink><br /><searchLink fieldCode="DE" term="%22Questionnaires%22">Questionnaires</searchLink><br /><searchLink fieldCode="DE" term="%22Health%22">Health</searchLink><br /><searchLink fieldCode="DE" term="%22Logistic+regression+analysis%22">Logistic regression analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Exercise+intensity%22">Exercise intensity</searchLink><br /><searchLink fieldCode="DE" term="%22Odds+ratio%22">Odds ratio</searchLink><br /><searchLink fieldCode="DE" term="%22Health+behavior%22">Health behavior</searchLink><br /><searchLink fieldCode="DE" term="%22Confidence+intervals%22">Confidence intervals</searchLink><br /><searchLink fieldCode="DE" term="%22Physical+activity%22">Physical activity</searchLink>
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– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Mobile health technology plays an important role in improving physical activity (PA). However, commercial healthcare applications for smartphones (apps) have poor retention, and understanding how people adopt and integrate app use in daily life is critical. We investigated the use patterns of PA apps and explored the usage styles that are predictive of continuation and discontinuation of use and of changes in PA levels over time. We analyzed 2-wave longitudinal survey data concerning commercial PA-app use, which included 4465 respondents (mean age = 50.7; 1932 women) identified as PA-app users at baseline. The participants completed a questionnaire regarding how and for what purpose they used the apps. A 6-month follow-up survey was administered that asked participants about their current app use and PA levels. At baseline, 2737 were identified as long-term users of a PA app (ie, use for more than 6 months). Long-term users reported appreciating the lifestyle management aspects (eg, constant accessibility to health information, tracking, and monitoring PA), whereas short-term users indicated that they appreciated their app's distraction and building relationships (eg, finding like-minded peers) aspects. Prospective analyses (logistic regressions) demonstrated that lifestyle management was associated with continuing to use the app and increased PA levels at the 6-month follow-up, whereas distraction predicted discontinuing the use of the app and decreased PA levels. These findings suggest that on-purpose use (ie, using a PA app to improve one's PA) is the key feature of being in an appropriation state, whereas off-purpose use may hinder app use, leading to less active lifestyles. The implications of appropriation theory and practice are also discussed. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Inquiry (00469580) is the property of Sage Publications Inc. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=ehh&AN=193250520
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    Identifiers:
      – Type: doi
        Value: 10.1177/00469580261442400
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      – Code: eng
        Text: English
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        PageCount: 12
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    Subjects:
      – SubjectFull: Behavior modification
        Type: general
      – SubjectFull: Information resources
        Type: general
      – SubjectFull: Behavior
        Type: general
      – SubjectFull: Longitudinal method
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      – SubjectFull: Comparative studies
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      – SubjectFull: Interpersonal relations
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      – SubjectFull: Access to information
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      – SubjectFull: Mobile apps
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      – SubjectFull: Cross-sectional method
        Type: general
      – SubjectFull: Research funding
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      – SubjectFull: Prediction models
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      – SubjectFull: Health
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      – SubjectFull: Logistic regression analysis
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      – SubjectFull: Exercise intensity
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      – SubjectFull: Odds ratio
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      – SubjectFull: Health behavior
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      – SubjectFull: Confidence intervals
        Type: general
      – SubjectFull: Physical activity
        Type: general
      – SubjectFull: Japan
        Type: general
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      – TitleFull: Usage Styles of Physical Activity Apps are Associated with Long-Term Activity Levels: A 6-Month Prospective Analysis.
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            NameFull: Takano, Keisuke
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            NameFull: Oba, Takeyuki
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              Text: 4/25/2026
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              Y: 2026
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