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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 ha...

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Detalles Bibliográficos
Autores principales: Dunn, Emily E, Gainforth, Heather L, Robertson-Wilson, Jennifer E
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6043935/
https://www.ncbi.nlm.nih.gov/pubmed/31463076
http://dx.doi.org/10.1177/2055207618785798
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author Dunn, Emily E
Gainforth, Heather L
Robertson-Wilson, Jennifer E
author_facet Dunn, Emily E
Gainforth, Heather L
Robertson-Wilson, Jennifer E
author_sort Dunn, Emily E
collection PubMed
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.
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spelling pubmed-60439352019-08-28 Behavior change techniques in mobile applications for sedentary behavior Dunn, Emily E Gainforth, Heather L Robertson-Wilson, Jennifer E Digit Health Original Research 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. SAGE Publications 2018-07-09 /pmc/articles/PMC6043935/ /pubmed/31463076 http://dx.doi.org/10.1177/2055207618785798 Text en © The Author(s) 2018 http://creativecommons.org/licenses/by-nc/4.0/ Creative Commons Non Commercial CC BY-NC: This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (http://www.creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage).
spellingShingle Original Research
Dunn, Emily E
Gainforth, Heather L
Robertson-Wilson, Jennifer E
Behavior change techniques in mobile applications for sedentary behavior
title 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_short Behavior change techniques in mobile applications for sedentary behavior
title_sort behavior change techniques in mobile applications for sedentary behavior
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6043935/
https://www.ncbi.nlm.nih.gov/pubmed/31463076
http://dx.doi.org/10.1177/2055207618785798
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