Behavior change techniques in mobile applications for sedentary behavior
Objective Mobile applications (apps) are increasingly being utilized in health behavior change interventions. To determine the presence of underlying behavior change mechanisms, apps for physical activity have been coded for behavior change techniques (BCTs). However, apps for sedentary behavior hav...
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Online Access: | https://doi.org/10.1177/2055207618785798 |
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doaj-2b66eaa6dba94f0ea08375cf4f9f81db2020-11-25T03:22:47ZengSAGE PublishingDigital Health2055-20762018-07-01410.1177/2055207618785798Behavior change techniques in mobile applications for sedentary behaviorEmily E Dunn0Heather L Gainforth1Jennifer E Robertson-Wilson2Department of Kinesiology & Physical Education, Wilfrid Laurier University, CanadaSchool of Health & Exercise Sciences, University of British Columbia (Okanagan), CanadaDepartment of Kinesiology & Physical Education, Wilfrid Laurier University, CanadaObjective Mobile applications (apps) are increasingly being utilized in health behavior change interventions. To determine the presence of underlying behavior change mechanisms, apps for physical activity have been coded for behavior change techniques (BCTs). However, apps for sedentary behavior have yet to be assessed for BCTs. Thus, the purpose of the present study was to review apps designed to decrease sedentary time and determine the presence of BCTs. Methods Systematic searches of the iTunes App and Google Play stores were completed using keyword searches. Two reviewers independently coded free ( n = 36) and paid ( n = 14) app descriptions using a taxonomy of 93 BCTs (December 2016–January 2017). A subsample ( n = 4) of free apps were trialed for one week by the reviewers and coded for the presence of BCTs (February 2017). Results In the free and paid app descriptions, only 10 of 93 BCTs were present with a mean of 2.42 BCTs (range 0–6) per app. The BCTs coded most frequently were “prompts/cues” ( n = 43), “information about health consequences” ( n = 31), and “self-monitoring of behavior” ( n = 17). For the four free apps that were trialed, three additional BCTs were coded that were not coded in the descriptions: “graded tasks,” “focus on past successes,” and “behavior substitution.” Conclusions These sedentary behavior apps have fewer BCTs compared with physical activity apps and traditional (i.e., non-app) physical activity and healthy eating interventions. The present study sheds light on the behavior change potential of sedentary behavior apps and provides practical insight about coding for BCTs in apps.https://doi.org/10.1177/2055207618785798 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Emily E Dunn Heather L Gainforth Jennifer E Robertson-Wilson |
spellingShingle |
Emily E Dunn Heather L Gainforth Jennifer E Robertson-Wilson Behavior change techniques in mobile applications for sedentary behavior Digital Health |
author_facet |
Emily E Dunn Heather L Gainforth Jennifer E Robertson-Wilson |
author_sort |
Emily E Dunn |
title |
Behavior change techniques in mobile applications for sedentary behavior |
title_short |
Behavior change techniques in mobile applications for sedentary behavior |
title_full |
Behavior change techniques in mobile applications for sedentary behavior |
title_fullStr |
Behavior change techniques in mobile applications for sedentary behavior |
title_full_unstemmed |
Behavior change techniques in mobile applications for sedentary behavior |
title_sort |
behavior change techniques in mobile applications for sedentary behavior |
publisher |
SAGE Publishing |
series |
Digital Health |
issn |
2055-2076 |
publishDate |
2018-07-01 |
description |
Objective Mobile applications (apps) are increasingly being utilized in health behavior change interventions. To determine the presence of underlying behavior change mechanisms, apps for physical activity have been coded for behavior change techniques (BCTs). However, apps for sedentary behavior have yet to be assessed for BCTs. Thus, the purpose of the present study was to review apps designed to decrease sedentary time and determine the presence of BCTs. Methods Systematic searches of the iTunes App and Google Play stores were completed using keyword searches. Two reviewers independently coded free ( n = 36) and paid ( n = 14) app descriptions using a taxonomy of 93 BCTs (December 2016–January 2017). A subsample ( n = 4) of free apps were trialed for one week by the reviewers and coded for the presence of BCTs (February 2017). Results In the free and paid app descriptions, only 10 of 93 BCTs were present with a mean of 2.42 BCTs (range 0–6) per app. The BCTs coded most frequently were “prompts/cues” ( n = 43), “information about health consequences” ( n = 31), and “self-monitoring of behavior” ( n = 17). For the four free apps that were trialed, three additional BCTs were coded that were not coded in the descriptions: “graded tasks,” “focus on past successes,” and “behavior substitution.” Conclusions These sedentary behavior apps have fewer BCTs compared with physical activity apps and traditional (i.e., non-app) physical activity and healthy eating interventions. The present study sheds light on the behavior change potential of sedentary behavior apps and provides practical insight about coding for BCTs in apps. |
url |
https://doi.org/10.1177/2055207618785798 |
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