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U.S. police rosters: Fatigue and public complaints
journal contribution
posted on 2020-01-14, 00:00 authored by SM Riedy, Drew DawsonDrew Dawson, B VilaStudy Objectives Recent experimental research indicates a substantial impact of shift work related fatigue on police officers' encounters with the public. In recent years, biomathematical models of fatigue have provided a new way to identify potential relationships between working time arrangements and job performance. This study focused on public complaints against police officers and determined whether the odds of a public complaint were associated with work schedules and/or a biomathematical model's predictions of fatigue and sleepiness. Methods N = 144 police officers from two municipal police departments in the United States reported shift start times, shift hours, court hours, and public complaints each duty day during study participation. A biomathematical model of fatigue (FAID Quantum) predicted sleep duration and sleep timing and inferred fatigue and sleepiness for 15 744 shifts. Fatigue, sleepiness, 24 hr sleep estimates, and work schedule were tested as predictors of public complaints. Results Greater fatigue, greater sleepiness, and less sleep in the 24 hr prior to a shift increased the odds of a public complaint (F ≥ 9.14, p < 0.01). Working back-to-back night shifts increased the odds of a public complaint (OR = 4.27, p < 0.01), particularly when off-duty court hours were worked between the night shifts (OR = 4.73, p < 0.01). Conclusions On-duty fatigue and sleepiness, sleep obtained prior to a shift, and working night shifts were strongly associated with public complaints. Off-duty court appearances reduced sleep between night shifts and further increased the odds of a public complaint. The results suggest that off-duty court hours should be limited between night shifts and duty schedules should be considered when scheduling court appearances. © Sleep Research Society 2018.
Funding
Other
History
Volume
42Issue
3Start Page
1End Page
10Number of Pages
10eISSN
1550-9109ISSN
0161-8105Publisher
Oxford University Press, USAPublisher DOI
Peer Reviewed
- Yes
Open Access
- No
External Author Affiliations
Washington State University, USA;Author Research Institute
- Appleton Institute
Era Eligible
- Yes
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SleepUsage metrics
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