Loading…
Wearable Activity Tracker Use in Young Adults through the Lens of Social Cognitive Theory
Background: Young adults are adopting wearables ahead of research. Purpose: The purpose of this study was to explore the use of trackers through Social Cognitive Theory (SCT). Methods: SCT-guided individual interviews were conducted with young adults (n = 57). Typical case sampling was used to recru...
Saved in:
Published in: | American journal of health education 2019-01, Vol.50 (1), p.40-51 |
---|---|
Main Authors: | , , , , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
cited_by | cdi_FETCH-LOGICAL-c303t-d67ebac9f5edb9018261a38dfd375c83f135470bfbd9734c2d0c7665c2e082b83 |
---|---|
cites | cdi_FETCH-LOGICAL-c303t-d67ebac9f5edb9018261a38dfd375c83f135470bfbd9734c2d0c7665c2e082b83 |
container_end_page | 51 |
container_issue | 1 |
container_start_page | 40 |
container_title | American journal of health education |
container_volume | 50 |
creator | Gowin, Mary Wilkerson, Amanda Maness, Sarah Larson, Daniel J Crowson, H. Michael Smith, Michael Cheney, Marshall K |
description | Background: Young adults are adopting wearables ahead of research. Purpose: The purpose of this study was to explore the use of trackers through Social Cognitive Theory (SCT). Methods: SCT-guided individual interviews were conducted with young adults (n = 57). Typical case sampling was used to recruit college students (n = 35) and straight-to-work (STW) young adults (n = 22) for in-person/online interviews. Interviews were recorded, transcribed, and analyzed using NVivo. Results: There were few differences between the two groups. Most reported little knowledge of the benefits/risks associated with their health behavior (eg, physical activity) but high expectations of how devices would assist them in developing/maintaining behavior. Self-regulatory aspects were seen as benefits. Many reported not setting goals other than those set by their device. Most reported increased self-efficacy and viewed their device as positive, nonjudgmental social support. Discussion: Young adult device use can be health directed or health related. Utilizing devices and SCT-based education may increase young adults' knowledge, self-efficacy, and self-regulation while managing expectations. Translation to Health Education Practice: Health Educators should focus on increasing health knowledge, managing expectations, and setting goals. Building on the increased self-efficacy and social support that young adults reported as part of their wearable activity tracker use could provide a solid foundation for Health Education efforts. A AJHE Self-Study quiz is online for this article via the SHAPE America Online Institute (SAOI)http://portal.shapeamerica.org/trn-Webinars |
doi_str_mv | 10.1080/19325037.2018.1548314 |
format | article |
fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_2166371164</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ericid>EJ1202573</ericid><sourcerecordid>2166371164</sourcerecordid><originalsourceid>FETCH-LOGICAL-c303t-d67ebac9f5edb9018261a38dfd375c83f135470bfbd9734c2d0c7665c2e082b83</originalsourceid><addsrcrecordid>eNo9kF1LwzAUhoMoOKc_YRDwujPJaZr0coz5xcALN2RXIU3TrbM2M2mF_XtTNr16b573PYcHoQklU0okeaA5ME5ATBmhckp5KoGmF2jEaCYTEJxeotHAJAN0jW5C2JNIgmQjtPmw2uuisXhmuvqn7o545bX5tB6vg8V1izeub7d4VvZNF3C3867f7mJavLRtwK7C787UusFzt23rOGHxamedP96iq0o3wd6dc4zWj4vV_DlZvj29zGfLxACBLikzYQtt8orbssjjWyyjGmRZlfFzI6GiwFNBiqoocwGpYSUxIsu4YZZIVkgYo_vT7sG7796GTu1d79t4UkUBGQhKszRS_EQZ70LwtlIHX39pf1SUqMGi-rOoBovqbDH2Jqee9bX57yxeKSOMC4BfN-1tug</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2166371164</pqid></control><display><type>article</type><title>Wearable Activity Tracker Use in Young Adults through the Lens of Social Cognitive Theory</title><source>ERIC</source><source>Taylor and Francis Social Sciences and Humanities Collection</source><creator>Gowin, Mary ; Wilkerson, Amanda ; Maness, Sarah ; Larson, Daniel J ; Crowson, H. Michael ; Smith, Michael ; Cheney, Marshall K</creator><creatorcontrib>Gowin, Mary ; Wilkerson, Amanda ; Maness, Sarah ; Larson, Daniel J ; Crowson, H. Michael ; Smith, Michael ; Cheney, Marshall K</creatorcontrib><description>Background: Young adults are adopting wearables ahead of research. Purpose: The purpose of this study was to explore the use of trackers through Social Cognitive Theory (SCT). Methods: SCT-guided individual interviews were conducted with young adults (n = 57). Typical case sampling was used to recruit college students (n = 35) and straight-to-work (STW) young adults (n = 22) for in-person/online interviews. Interviews were recorded, transcribed, and analyzed using NVivo. Results: There were few differences between the two groups. Most reported little knowledge of the benefits/risks associated with their health behavior (eg, physical activity) but high expectations of how devices would assist them in developing/maintaining behavior. Self-regulatory aspects were seen as benefits. Many reported not setting goals other than those set by their device. Most reported increased self-efficacy and viewed their device as positive, nonjudgmental social support. Discussion: Young adult device use can be health directed or health related. Utilizing devices and SCT-based education may increase young adults' knowledge, self-efficacy, and self-regulation while managing expectations. Translation to Health Education Practice: Health Educators should focus on increasing health knowledge, managing expectations, and setting goals. Building on the increased self-efficacy and social support that young adults reported as part of their wearable activity tracker use could provide a solid foundation for Health Education efforts. A AJHE Self-Study quiz is online for this article via the SHAPE America Online Institute (SAOI)http://portal.shapeamerica.org/trn-Webinars</description><identifier>ISSN: 1932-5037</identifier><identifier>EISSN: 2168-3751</identifier><identifier>DOI: 10.1080/19325037.2018.1548314</identifier><language>eng</language><publisher>Reston: Routledge</publisher><subject>Adults ; Barriers ; Cognitive ability ; College Students ; Correlation ; Education ; Educational Practices ; Effectiveness ; Epistemology ; Expectation ; Goal Orientation ; Goal setting ; Health ; Health Behavior ; Health education ; Internet ; Knowledge management ; Measurement Equipment ; Occupational health ; Physical activity ; Physical Activity Level ; Risk ; Self Control ; Self Efficacy ; Social Cognition ; Social interactions ; Social Support Groups ; Student Attitudes ; Tracking devices ; Wearable computers ; Wearable technology ; Young adults</subject><ispartof>American journal of health education, 2019-01, Vol.50 (1), p.40-51</ispartof><rights>2018 SHAPE America</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c303t-d67ebac9f5edb9018261a38dfd375c83f135470bfbd9734c2d0c7665c2e082b83</citedby><cites>FETCH-LOGICAL-c303t-d67ebac9f5edb9018261a38dfd375c83f135470bfbd9734c2d0c7665c2e082b83</cites><orcidid>0000-0001-8718-9034</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,777,781,27905,27906</link.rule.ids><backlink>$$Uhttp://eric.ed.gov/ERICWebPortal/detail?accno=EJ1202573$$DView record in ERIC$$Hfree_for_read</backlink></links><search><creatorcontrib>Gowin, Mary</creatorcontrib><creatorcontrib>Wilkerson, Amanda</creatorcontrib><creatorcontrib>Maness, Sarah</creatorcontrib><creatorcontrib>Larson, Daniel J</creatorcontrib><creatorcontrib>Crowson, H. Michael</creatorcontrib><creatorcontrib>Smith, Michael</creatorcontrib><creatorcontrib>Cheney, Marshall K</creatorcontrib><title>Wearable Activity Tracker Use in Young Adults through the Lens of Social Cognitive Theory</title><title>American journal of health education</title><description>Background: Young adults are adopting wearables ahead of research. Purpose: The purpose of this study was to explore the use of trackers through Social Cognitive Theory (SCT). Methods: SCT-guided individual interviews were conducted with young adults (n = 57). Typical case sampling was used to recruit college students (n = 35) and straight-to-work (STW) young adults (n = 22) for in-person/online interviews. Interviews were recorded, transcribed, and analyzed using NVivo. Results: There were few differences between the two groups. Most reported little knowledge of the benefits/risks associated with their health behavior (eg, physical activity) but high expectations of how devices would assist them in developing/maintaining behavior. Self-regulatory aspects were seen as benefits. Many reported not setting goals other than those set by their device. Most reported increased self-efficacy and viewed their device as positive, nonjudgmental social support. Discussion: Young adult device use can be health directed or health related. Utilizing devices and SCT-based education may increase young adults' knowledge, self-efficacy, and self-regulation while managing expectations. Translation to Health Education Practice: Health Educators should focus on increasing health knowledge, managing expectations, and setting goals. Building on the increased self-efficacy and social support that young adults reported as part of their wearable activity tracker use could provide a solid foundation for Health Education efforts. A AJHE Self-Study quiz is online for this article via the SHAPE America Online Institute (SAOI)http://portal.shapeamerica.org/trn-Webinars</description><subject>Adults</subject><subject>Barriers</subject><subject>Cognitive ability</subject><subject>College Students</subject><subject>Correlation</subject><subject>Education</subject><subject>Educational Practices</subject><subject>Effectiveness</subject><subject>Epistemology</subject><subject>Expectation</subject><subject>Goal Orientation</subject><subject>Goal setting</subject><subject>Health</subject><subject>Health Behavior</subject><subject>Health education</subject><subject>Internet</subject><subject>Knowledge management</subject><subject>Measurement Equipment</subject><subject>Occupational health</subject><subject>Physical activity</subject><subject>Physical Activity Level</subject><subject>Risk</subject><subject>Self Control</subject><subject>Self Efficacy</subject><subject>Social Cognition</subject><subject>Social interactions</subject><subject>Social Support Groups</subject><subject>Student Attitudes</subject><subject>Tracking devices</subject><subject>Wearable computers</subject><subject>Wearable technology</subject><subject>Young adults</subject><issn>1932-5037</issn><issn>2168-3751</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><sourceid>7SW</sourceid><recordid>eNo9kF1LwzAUhoMoOKc_YRDwujPJaZr0coz5xcALN2RXIU3TrbM2M2mF_XtTNr16b573PYcHoQklU0okeaA5ME5ATBmhckp5KoGmF2jEaCYTEJxeotHAJAN0jW5C2JNIgmQjtPmw2uuisXhmuvqn7o545bX5tB6vg8V1izeub7d4VvZNF3C3867f7mJavLRtwK7C787UusFzt23rOGHxamedP96iq0o3wd6dc4zWj4vV_DlZvj29zGfLxACBLikzYQtt8orbssjjWyyjGmRZlfFzI6GiwFNBiqoocwGpYSUxIsu4YZZIVkgYo_vT7sG7796GTu1d79t4UkUBGQhKszRS_EQZ70LwtlIHX39pf1SUqMGi-rOoBovqbDH2Jqee9bX57yxeKSOMC4BfN-1tug</recordid><startdate>20190101</startdate><enddate>20190101</enddate><creator>Gowin, Mary</creator><creator>Wilkerson, Amanda</creator><creator>Maness, Sarah</creator><creator>Larson, Daniel J</creator><creator>Crowson, H. Michael</creator><creator>Smith, Michael</creator><creator>Cheney, Marshall K</creator><general>Routledge</general><general>Taylor & Francis Ltd</general><scope>7SW</scope><scope>BJH</scope><scope>BNH</scope><scope>BNI</scope><scope>BNJ</scope><scope>BNO</scope><scope>ERI</scope><scope>PET</scope><scope>REK</scope><scope>WWN</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7T2</scope><scope>7TS</scope><scope>C1K</scope><scope>K9.</scope><scope>NAPCQ</scope><orcidid>https://orcid.org/0000-0001-8718-9034</orcidid></search><sort><creationdate>20190101</creationdate><title>Wearable Activity Tracker Use in Young Adults through the Lens of Social Cognitive Theory</title><author>Gowin, Mary ; Wilkerson, Amanda ; Maness, Sarah ; Larson, Daniel J ; Crowson, H. Michael ; Smith, Michael ; Cheney, Marshall K</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c303t-d67ebac9f5edb9018261a38dfd375c83f135470bfbd9734c2d0c7665c2e082b83</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Adults</topic><topic>Barriers</topic><topic>Cognitive ability</topic><topic>College Students</topic><topic>Correlation</topic><topic>Education</topic><topic>Educational Practices</topic><topic>Effectiveness</topic><topic>Epistemology</topic><topic>Expectation</topic><topic>Goal Orientation</topic><topic>Goal setting</topic><topic>Health</topic><topic>Health Behavior</topic><topic>Health education</topic><topic>Internet</topic><topic>Knowledge management</topic><topic>Measurement Equipment</topic><topic>Occupational health</topic><topic>Physical activity</topic><topic>Physical Activity Level</topic><topic>Risk</topic><topic>Self Control</topic><topic>Self Efficacy</topic><topic>Social Cognition</topic><topic>Social interactions</topic><topic>Social Support Groups</topic><topic>Student Attitudes</topic><topic>Tracking devices</topic><topic>Wearable computers</topic><topic>Wearable technology</topic><topic>Young adults</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Gowin, Mary</creatorcontrib><creatorcontrib>Wilkerson, Amanda</creatorcontrib><creatorcontrib>Maness, Sarah</creatorcontrib><creatorcontrib>Larson, Daniel J</creatorcontrib><creatorcontrib>Crowson, H. Michael</creatorcontrib><creatorcontrib>Smith, Michael</creatorcontrib><creatorcontrib>Cheney, Marshall K</creatorcontrib><collection>ERIC</collection><collection>ERIC (Ovid)</collection><collection>ERIC</collection><collection>ERIC</collection><collection>ERIC (Legacy Platform)</collection><collection>ERIC( SilverPlatter )</collection><collection>ERIC</collection><collection>ERIC PlusText (Legacy Platform)</collection><collection>Education Resources Information Center (ERIC)</collection><collection>ERIC</collection><collection>CrossRef</collection><collection>Health and Safety Science Abstracts (Full archive)</collection><collection>Physical Education Index</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Premium</collection><jtitle>American journal of health education</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Gowin, Mary</au><au>Wilkerson, Amanda</au><au>Maness, Sarah</au><au>Larson, Daniel J</au><au>Crowson, H. Michael</au><au>Smith, Michael</au><au>Cheney, Marshall K</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><ericid>EJ1202573</ericid><atitle>Wearable Activity Tracker Use in Young Adults through the Lens of Social Cognitive Theory</atitle><jtitle>American journal of health education</jtitle><date>2019-01-01</date><risdate>2019</risdate><volume>50</volume><issue>1</issue><spage>40</spage><epage>51</epage><pages>40-51</pages><issn>1932-5037</issn><eissn>2168-3751</eissn><abstract>Background: Young adults are adopting wearables ahead of research. Purpose: The purpose of this study was to explore the use of trackers through Social Cognitive Theory (SCT). Methods: SCT-guided individual interviews were conducted with young adults (n = 57). Typical case sampling was used to recruit college students (n = 35) and straight-to-work (STW) young adults (n = 22) for in-person/online interviews. Interviews were recorded, transcribed, and analyzed using NVivo. Results: There were few differences between the two groups. Most reported little knowledge of the benefits/risks associated with their health behavior (eg, physical activity) but high expectations of how devices would assist them in developing/maintaining behavior. Self-regulatory aspects were seen as benefits. Many reported not setting goals other than those set by their device. Most reported increased self-efficacy and viewed their device as positive, nonjudgmental social support. Discussion: Young adult device use can be health directed or health related. Utilizing devices and SCT-based education may increase young adults' knowledge, self-efficacy, and self-regulation while managing expectations. Translation to Health Education Practice: Health Educators should focus on increasing health knowledge, managing expectations, and setting goals. Building on the increased self-efficacy and social support that young adults reported as part of their wearable activity tracker use could provide a solid foundation for Health Education efforts. A AJHE Self-Study quiz is online for this article via the SHAPE America Online Institute (SAOI)http://portal.shapeamerica.org/trn-Webinars</abstract><cop>Reston</cop><pub>Routledge</pub><doi>10.1080/19325037.2018.1548314</doi><tpages>12</tpages><orcidid>https://orcid.org/0000-0001-8718-9034</orcidid></addata></record> |
fulltext | fulltext |
identifier | ISSN: 1932-5037 |
ispartof | American journal of health education, 2019-01, Vol.50 (1), p.40-51 |
issn | 1932-5037 2168-3751 |
language | eng |
recordid | cdi_proquest_journals_2166371164 |
source | ERIC; Taylor and Francis Social Sciences and Humanities Collection |
subjects | Adults Barriers Cognitive ability College Students Correlation Education Educational Practices Effectiveness Epistemology Expectation Goal Orientation Goal setting Health Health Behavior Health education Internet Knowledge management Measurement Equipment Occupational health Physical activity Physical Activity Level Risk Self Control Self Efficacy Social Cognition Social interactions Social Support Groups Student Attitudes Tracking devices Wearable computers Wearable technology Young adults |
title | Wearable Activity Tracker Use in Young Adults through the Lens of Social Cognitive Theory |
url | http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-19T09%3A22%3A16IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Wearable%20Activity%20Tracker%20Use%20in%20Young%20Adults%20through%20the%20Lens%20of%20Social%20Cognitive%20Theory&rft.jtitle=American%20journal%20of%20health%20education&rft.au=Gowin,%20Mary&rft.date=2019-01-01&rft.volume=50&rft.issue=1&rft.spage=40&rft.epage=51&rft.pages=40-51&rft.issn=1932-5037&rft.eissn=2168-3751&rft_id=info:doi/10.1080/19325037.2018.1548314&rft_dat=%3Cproquest_cross%3E2166371164%3C/proquest_cross%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c303t-d67ebac9f5edb9018261a38dfd375c83f135470bfbd9734c2d0c7665c2e082b83%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=2166371164&rft_id=info:pmid/&rft_ericid=EJ1202573&rfr_iscdi=true |