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Wearable Activity Monitor Use and Ph...

Zytnick, Deena,

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Wearable Activity Monitor Use and Physical Activity Among Older Adults /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Wearable Activity Monitor Use and Physical Activity Among Older Adults // Deena Zytnick.
Author:	Zytnick, Deena,
Description:	1 electronic resource (203 pages)
Notes:	Source: Dissertations Abstracts International, Volume: 82-08, Section: B.
Contained By:	Dissertations Abstracts International82-08B.
Subject:	Public health. -
Online resource:	https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=27735638
ISBN:	9798569923700

Wearable Activity Monitor Use and Physical Activity Among Older Adults /
Zytnick, Deena,

Wearable Activity Monitor Use and Physical Activity Among Older Adults /Deena Zytnick. - 1 electronic resource (203 pages)

Source: Dissertations Abstracts International, Volume: 82-08, Section: B.

Research literature provides evidence of significant health benefits of physical activity (PA) for older adults. Recent studies have found use of wearable activity monitors (WAM), along with goal setting and other behavioral strategies, can promote increased PA. However, older adults have disproportionately low levels of PA and the lowest prevalence of WAM use compared to other adults. The aims of this research were to better understand WAM use among older adults, explore relationships between WAM use and PA, and assess the inclusion of WAM in media in order to contribute evidence for a variety of stakeholders committed to improving PA among older adults.Our first aim used a national cross-sectional data set to establish demographic profiles of WAM users and to examine WAM use among older adults and its relationship with meeting national aerobic PA guidelines. Our second aim took a sequential explanatory mixed method approach to better understand WAM use among older adults. We conducted four focus groups across 57 participants, stratified by ever and never WAM users. For our third aim, we conducted a content analysis of top-circulated print newspapers to better understand the WAM content and the extent to which WAM messages were rooted in behavior change theory (BCT). We found about one-in-five older adults were ever WAM users. WAM use was significantly higher among females, college graduates, and those with higher annual incomes. WAM users were more likely than never WAM users to report meeting aerobic PAG and walking in the past week. Focus group results suggested that the temporality of the relationship between WAM use and PA seemed to differ by pre-WAM activity level. WAM users were motivated to increase PA through short- and long-term rewards, social support, and in conjunction with intrinsic motivation. Ease of use, appearance, and cost facilitated their continued use of WAM. The content analysis indicated only a minority of newspaper articles prominently included WAM in their content and most were not in the context of health and wellness nor extensively rooted in behavioral change theory. Our findings reinforce that WAM may be a helpful tool for some older adults to increase their PA. These findings may be used to help develop strategies for adoption and continued use of WAM among a variety of policy, research, and practice stakeholders.

English

ISBN: 9798569923700Subjects--Topical Terms:

534748
Public health.
Subjects--Index Terms:

Activity trackers

Wearable Activity Monitor Use and Physical Activity Among Older Adults /
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500 $a Advisors: Chomitz, Virginia R. Committee members: Folta, Sara C.; Reid, Kieran F.
502 $b D.P.H. $c Tufts University School of Medicine $d 2020.
520 $a Research literature provides evidence of significant health benefits of physical activity (PA) for older adults. Recent studies have found use of wearable activity monitors (WAM), along with goal setting and other behavioral strategies, can promote increased PA. However, older adults have disproportionately low levels of PA and the lowest prevalence of WAM use compared to other adults. The aims of this research were to better understand WAM use among older adults, explore relationships between WAM use and PA, and assess the inclusion of WAM in media in order to contribute evidence for a variety of stakeholders committed to improving PA among older adults.Our first aim used a national cross-sectional data set to establish demographic profiles of WAM users and to examine WAM use among older adults and its relationship with meeting national aerobic PA guidelines. Our second aim took a sequential explanatory mixed method approach to better understand WAM use among older adults. We conducted four focus groups across 57 participants, stratified by ever and never WAM users. For our third aim, we conducted a content analysis of top-circulated print newspapers to better understand the WAM content and the extent to which WAM messages were rooted in behavior change theory (BCT). We found about one-in-five older adults were ever WAM users. WAM use was significantly higher among females, college graduates, and those with higher annual incomes. WAM users were more likely than never WAM users to report meeting aerobic PAG and walking in the past week. Focus group results suggested that the temporality of the relationship between WAM use and PA seemed to differ by pre-WAM activity level. WAM users were motivated to increase PA through short- and long-term rewards, social support, and in conjunction with intrinsic motivation. Ease of use, appearance, and cost facilitated their continued use of WAM. The content analysis indicated only a minority of newspaper articles prominently included WAM in their content and most were not in the context of health and wellness nor extensively rooted in behavioral change theory. Our findings reinforce that WAM may be a helpful tool for some older adults to increase their PA. These findings may be used to help develop strategies for adoption and continued use of WAM among a variety of policy, research, and practice stakeholders.
546 $a English
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650 4 $a Public health. $3 534748
650 4 $a Health sciences. $3 3168359
650 4 $a Information technology. $3 532993
650 4 $a Exercise. $3 532868
653 $a Activity trackers
653 $a Digital technology
653 $a Health
653 $a Older adults
653 $a Physical Activity
653 $a Wearable Activity Monitor
690 $a 0573
690 $a 0489
690 $a 0566
710 2 $a Tufts University School of Medicine. $b Public Health Programs. $e degree granting institution. $3 3823259
720 1 $a Chomitz, Virginia R. $e degree supervisor.
773 0 $t Dissertations Abstracts International $g 82-08B.
790 $a 2681
791 $a D.P.H.
792 $a 2020
856 4 0 $u https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=27735638