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University of Tennessee at Chattanooga

Using the job demands-resources model to understand burnout in police officers in the UK and the US

Abstract

dc:description.abstract

Rates of burnout among police officers vary between countries and types of officers, which necessitates further exploration of the workplace conditions that impact how and why officers experience burnout. I examined data from two samples of police officers from the United Kingdom (N=356) and the United States (N=118). I found support for the general JD-R model of burnout, where high demands and few resources correlate with more burnout. I also looked at the patterns of demands and resources that significantly predicted burnout for each sample separately, and found that there are nuanced differences in which work conditions are salient in different samples of officers. Lastly, I examined the role of perceived community support in the US sample and found that officers’ perceptions of community respect for and confidence in police were associated with all three dimensions of burnout. Officers who perceived stronger community support and respect had significantly less burnout.

Degree

thesis:*
Grantor dc:publisher
University of Tennessee at Chattanooga

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Keaton, Jackie
Contributors dc:contributor
  • Black, Kristen Jennings, 1991-
  • Cunningham, Christopher J. L.; Zelin, Alexandra I.
  • College of Arts and Sciences

Subjects

dc:subject × 2

Rights

dc:rights
Language dc:language
English, eng

Identifiers

dc:identifier.*
Repository record dc:identifier
https://scholar.utc.edu/theses/708
OAI identifier oai:identifier
oai:scholar.utc.edu:theses-1885

Chain of custody

source
Harvested from
University of Tennessee - Chattanooga
Base URL
scholar.utc.edu/do/oai/
Last updated
2026-07-24
Source record
OAI-PMH GetRecord
citation

Keaton, Jackie. Using the job demands-resources model to understand burnout in police officers in the UK and the US. University of Tennessee at Chattanooga, https://scholar.utc.edu/theses/708