2,546
Views
17
CrossRef citations to date
0
Altmetric
Research Article

College Students’ Use and Perceptions of Wearable Fitness Trackers

ORCID Icon, , &
Pages 298-307 | Received 22 Jan 2019, Accepted 06 Apr 2019, Published online: 12 Aug 2019
 

ABSTRACT

Background: Nearly half of all college students do not engage in the recommended amount of physical activity which may contribute to chronic diseases such as obesity. Purpose: To investigate college students’ use and perceptions of wearable fitness trackers (WFTs) and the impact on confidence and motivation for increasing physical activity. Reasons for non-use were also explored. Methods: 356 College students completed a 25 -item paper survey. Results: 22.5% reported using a WFT. Most wore their WFT either “every day without fail” or “most days” and half wore their WFT “all day and while sleeping”. Analyses were significant for those reporting a high increase in physical activity and or a high increase in number of steps as being more likely to report a high motivation for physical activity. Discussion: Two reasons for use of WFT were weight loss and to track sleep. A common reason for non-use of WFT was cost. WFTs may help to increase motivation to engage in physical activity. Translation to Health Education Practice: When considering the use of WFTs, Health Educators would do well to identify affordable WFTs for use in interventions and be mindful of the barriers related to discontinuation of use.

Disclosure statement

No potential conflict of interest was reported by the authors.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 53.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 86.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.