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Behavior Change Techniques Implemented in Electronic Lifestyle Activity Monitors: A Systematic Content Analysis

BACKGROUND: Electronic activity monitors (such as those manufactured by Fitbit, Jawbone, and Nike) improve on standard pedometers by providing automated feedback and interactive behavior change tools via mobile device or personal computer. These monitors are commercially popular and show promise for...

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Autores principales: Lyons, Elizabeth J, Lewis, Zakkoyya H, Mayrsohn, Brian G, Rowland, Jennifer L
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications Inc. 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4147713/
https://www.ncbi.nlm.nih.gov/pubmed/25131661
http://dx.doi.org/10.2196/jmir.3469
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author Lyons, Elizabeth J
Lewis, Zakkoyya H
Mayrsohn, Brian G
Rowland, Jennifer L
author_facet Lyons, Elizabeth J
Lewis, Zakkoyya H
Mayrsohn, Brian G
Rowland, Jennifer L
author_sort Lyons, Elizabeth J
collection PubMed
description BACKGROUND: Electronic activity monitors (such as those manufactured by Fitbit, Jawbone, and Nike) improve on standard pedometers by providing automated feedback and interactive behavior change tools via mobile device or personal computer. These monitors are commercially popular and show promise for use in public health interventions. However, little is known about the content of their feedback applications and how individual monitors may differ from one another. OBJECTIVE: The purpose of this study was to describe the behavior change techniques implemented in commercially available electronic activity monitors. METHODS: Electronic activity monitors (N=13) were systematically identified and tested by 3 trained coders for at least 1 week each. All monitors measured lifestyle physical activity and provided feedback via an app (computer or mobile). Coding was based on a hierarchical list of 93 behavior change techniques. Further coding of potentially effective techniques and adherence to theory-based recommendations were based on findings from meta-analyses and meta-regressions in the research literature. RESULTS: All monitors provided tools for self-monitoring, feedback, and environmental change by definition. The next most prevalent techniques (13 out of 13 monitors) were goal-setting and emphasizing discrepancy between current and goal behavior. Review of behavioral goals, social support, social comparison, prompts/cues, rewards, and a focus on past success were found in more than half of the systems. The monitors included a range of 5-10 of 14 total techniques identified from the research literature as potentially effective. Most of the monitors included goal-setting, self-monitoring, and feedback content that closely matched recommendations from social cognitive theory. CONCLUSIONS: Electronic activity monitors contain a wide range of behavior change techniques typically used in clinical behavioral interventions. Thus, the monitors may represent a medium by which these interventions could be translated for widespread use. This technology has broad applications for use in clinical, public health, and rehabilitation settings.
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spelling pubmed-41477132014-08-28 Behavior Change Techniques Implemented in Electronic Lifestyle Activity Monitors: A Systematic Content Analysis Lyons, Elizabeth J Lewis, Zakkoyya H Mayrsohn, Brian G Rowland, Jennifer L J Med Internet Res Original Paper BACKGROUND: Electronic activity monitors (such as those manufactured by Fitbit, Jawbone, and Nike) improve on standard pedometers by providing automated feedback and interactive behavior change tools via mobile device or personal computer. These monitors are commercially popular and show promise for use in public health interventions. However, little is known about the content of their feedback applications and how individual monitors may differ from one another. OBJECTIVE: The purpose of this study was to describe the behavior change techniques implemented in commercially available electronic activity monitors. METHODS: Electronic activity monitors (N=13) were systematically identified and tested by 3 trained coders for at least 1 week each. All monitors measured lifestyle physical activity and provided feedback via an app (computer or mobile). Coding was based on a hierarchical list of 93 behavior change techniques. Further coding of potentially effective techniques and adherence to theory-based recommendations were based on findings from meta-analyses and meta-regressions in the research literature. RESULTS: All monitors provided tools for self-monitoring, feedback, and environmental change by definition. The next most prevalent techniques (13 out of 13 monitors) were goal-setting and emphasizing discrepancy between current and goal behavior. Review of behavioral goals, social support, social comparison, prompts/cues, rewards, and a focus on past success were found in more than half of the systems. The monitors included a range of 5-10 of 14 total techniques identified from the research literature as potentially effective. Most of the monitors included goal-setting, self-monitoring, and feedback content that closely matched recommendations from social cognitive theory. CONCLUSIONS: Electronic activity monitors contain a wide range of behavior change techniques typically used in clinical behavioral interventions. Thus, the monitors may represent a medium by which these interventions could be translated for widespread use. This technology has broad applications for use in clinical, public health, and rehabilitation settings. JMIR Publications Inc. 2014-08-15 /pmc/articles/PMC4147713/ /pubmed/25131661 http://dx.doi.org/10.2196/jmir.3469 Text en ©Elizabeth J Lyons, Zakkoyya H Lewis, Brian G Mayrsohn, Jennifer L Rowland. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 15.08.2014. http://creativecommons.org/licenses/by/2.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in the Journal of Medical Internet Research, is properly cited. The complete bibliographic information, a link to the original publication on http://www.jmir.org/, as well as this copyright and license information must be included.
spellingShingle Original Paper
Lyons, Elizabeth J
Lewis, Zakkoyya H
Mayrsohn, Brian G
Rowland, Jennifer L
Behavior Change Techniques Implemented in Electronic Lifestyle Activity Monitors: A Systematic Content Analysis
title Behavior Change Techniques Implemented in Electronic Lifestyle Activity Monitors: A Systematic Content Analysis
title_full Behavior Change Techniques Implemented in Electronic Lifestyle Activity Monitors: A Systematic Content Analysis
title_fullStr Behavior Change Techniques Implemented in Electronic Lifestyle Activity Monitors: A Systematic Content Analysis
title_full_unstemmed Behavior Change Techniques Implemented in Electronic Lifestyle Activity Monitors: A Systematic Content Analysis
title_short Behavior Change Techniques Implemented in Electronic Lifestyle Activity Monitors: A Systematic Content Analysis
title_sort behavior change techniques implemented in electronic lifestyle activity monitors: a systematic content analysis
topic Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4147713/
https://www.ncbi.nlm.nih.gov/pubmed/25131661
http://dx.doi.org/10.2196/jmir.3469
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