Link to the University of Pittsburgh Homepage
Link to the University Library System Homepage Link to the Contact Us Form

Determinants and Associations of 24-hour Movement Behaviors in Desk Workers who Work from Home

Holmes, Anthony, J. (2024) Determinants and Associations of 24-hour Movement Behaviors in Desk Workers who Work from Home. Doctoral Dissertation, University of Pittsburgh. (Unpublished)

[img]
Preview
PDF
Download (2MB) | Preview

Abstract

Work from Home (WFH) has become a viable and common work modality. Scarce evidence exists assessing 24-hour movement behaviors in those who WFH. The goals of this project were to compare behaviors of WFH desk workers to office-based desk workers and to identify determinants and gain perspectives of those who WFH in relation to their 24-hour movement patterns.
Methods: The first project was a secondary data analysis of baseline data from a randomized clinical trial among desk workers (n=275). Device-measured and self-reported 24-hour movement behaviors were compared between in-office vs. WFH worksite locations using linear regression. Odds of meeting 24-hour guidelines were also compared by worksite location, using the Canadian 24-hour movement guidelines as a framework. The second project used a mixed methods study design in WFH desk workers (n=27) to assess device-measured and self-reported 24-hour movement behavior data and gather qualitative data using focus groups. Focus group discussions intended to identify determinants and desired supports for healthy 24-hour movement behaviors in those who WFH. Following descriptive analysis of 24-hour behavior data, transcript analysis of five focus groups used Atlas.ti coding software, with two study coders, and identified salient themes.
Results: For aim 1, WFH workers accumulated significantly less light physical activity (LPA) [-0.51±0.20 hours/day , p=0.01] and higher prolonged sedentary behavior (SB) [0.54±0.25 hours/day, p=0.03] compared to in-office workers. WFH workers were less likely to meet MVPA guidelines (OR: 0.52 [95% CI: 0.28, 0.98)]) and more likely to meet the sleep quality (OR: 2.23 [95% CI: 1.10, 4.51]), waketime consistency (OR: 2.63 [95% CI: 1.27, 5.48)]), and overall sleep guidelines (OR: 2.42 [95% CI: 1.25, 4.67]). For aim 2, focus groups in WFH individuals revealed three key themes that impacted their 24-hour movement behaviors: 1) workspace characteristics such as physical environment characteristics, 2) support for healthy living such as employer support, and 3) non-work-related influences including family obligations and self-motivation.
Conclusions: WFH desk workers had different 24-hour behavior profiles to those who worked in office settings. Unique determinants of these behaviors for WFH contexts suggest future studies should incorporate WFH-specific determinants when designing interventions for this population.


Share

Citation/Export:
Social Networking:
Share |

Details

Item Type: University of Pittsburgh ETD
Status: Unpublished
Creators/Authors:
CreatorsEmailPitt UsernameORCID
Holmes, Anthony, J.ajh202@pitt.eduajh202
ETD Committee:
TitleMemberEmail AddressPitt UsernameORCID
Committee ChairKline, Christopher E.chriskline@pitt.edu
Committee MemberBarone Gibbs, Bethanybethany.gibbs@hsc.wvu.edu
Committee MemberStoner, Leelee@thecml.net
Committee MemberDavis, Kelliann K.Kelli.Davis@pitt.edu
Committee MemberGordon, Benjamin DH.BGORDON@pitt.edu
Date: 28 August 2024
Date Type: Publication
Defense Date: 11 July 2024
Approval Date: 28 August 2024
Submission Date: 22 July 2024
Access Restriction: No restriction; Release the ETD for access worldwide immediately.
Number of Pages: 203
Institution: University of Pittsburgh
Schools and Programs: School of Education > Health and Physical Activity
Degree: PhD - Doctor of Philosophy
Thesis Type: Doctoral Dissertation
Refereed: Yes
Uncontrolled Keywords: 24-hour behaviors, work from home, physical activity, sedentary behavior, sleep
Date Deposited: 28 Aug 2024 14:56
Last Modified: 28 Aug 2024 14:56
URI: http://d-scholarship.pitt.edu/id/eprint/46705

Metrics

Monthly Views for the past 3 years

Plum Analytics


Actions (login required)

View Item View Item