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U.S. police rosters: Fatigue and public complaints

journal contribution
posted on 14.01.2020, 00:00 by SM Riedy, Drew Dawson, B Vila
Study 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

42

Issue

3

Start Page

1

End Page

10

Number of Pages

10

eISSN

1550-9109

ISSN

0161-8105

Publisher

Oxford University Press, USA

Peer Reviewed

Yes

Open Access

No

External Author Affiliations

Washington State University, USA;

Author Research Institute

Appleton Institute

Era Eligible

Yes

Journal

Sleep

Exports