The author's previous work has suggested that the incidence of any occurrence of injury leave among police officers is higher on night shifts. In this study, the authors extended their inquiry to determine whether the incidence of long-term injury leave varies across shifts. Police officers (N=419) from an urban department were included in the analysis. Daily payroll work history data from 1994-2010 was collected. Injury leave duration was examined ranging from > 1 to -> 90 days. Poisson regression models were used to compute incidence rates (IR) and incidence rate ratios (IRR) of long-term injury. Cumulative incidence of injury for different durations of leave defined as >1,>5, >10, >15,>30, and >90 days were 61.3 percent, 45.4 percent, 39.9 percent, 33.9 percent, 26.5 percent, and 9.6 percent respectively. Age-and gender adjusted IRR of long-term injury (>90 days) for night versus day shifts was IRR 3.12, 95 percent confidence interval (95 percent CI) 1.35-7.21 and IRR 2.21, 95 percent CI 1.04-4.68, for night versus afternoon shifts. Among all durations examined, the largest IRR was for injury >90 days, night versus day shifts (IRR 3.12, 95 percent CI 1.35-7.21).Night shift work was significantly associated with long-term injury among police officers after adjustment for age and gender. Although type of injury was not available, it is possible that variation in injury type across shifts might account for some of this association. (Published Abstract)
Downloads
Similar Publications
- Marijuana Legalization and Crime Clearance Rates: Testing Proponent Assertions in Colorado and Washington State
- The relationship between crime information centers and crime: A micro-synthetic evaluation of a district-level policing strategy
- “They are not victimless crimes…that's frustrating to hear”: Qualitative insights from prosecutors working on cases related to technology facilitated child sexual abuse material