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
- Student Violence Against Teachers in Large U.S. School Districts: Prevalence and Risk Factors
- The Effectiveness and Impact of Doctoral Student Professional Development: A Case Study of the ACJS Doctoral Summit
- Posttraumatic stress mediates the relationship between childhood victimization and current mental health burden in newly incarcerated adults