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. Author manuscript; available in PMC: 2015 Jul 13.
Published in final edited form as: Scand J Work Environ Health. 2013 Jan 7;39(4):361–368. doi: 10.5271/sjweh.3342

Table 2.

Incidence rate (IR) and incidence rate ratio (IRR) of on-duty, long-term injury leave (≥90 days) by shift, Buffalo Cardio-metabolic Occupational Police Stress (BCOPS) Study, 2004–2009. [95% CI=95% confidence interval]

Shift Number
at risk a
Person
hours b
Number
injured c
IR per 100 000
person hours d
95% CI e
for IR
Unadjusted Age- and
gender-adjusted


IRR 95% CI IRR 95% CI
Day 412 2512333 12 0.48 0.27–0.86
Afternoon 405 1891469 11 0.59 0.15–2.37
Night 373 1273236 17 1.33 0.36–5.00
Night versus day 2.76 1.30–5.83 3.12 1.35–7.21
Afternoon versus day 1.21 0.53–2.77 1.42 0.54–3.71
Night versus afternoon 2.27 1.06–4.87 2.21 1.04–4.68
a

The number of participants who contributed person-hours to that specific shift. Note that a participant can contribute person-hours to one, two, or all three shifts but first serious injury occurs in only one of the three shifts.

b

The total number of hours of work at regularly scheduled time for each shift. This is the total time (in hours) at risk for first serious injury.

c

The number of participants with first long-term injury (note that there were 13 officers with long-term injury who dominantly worked on afternoon shift (see table 1) but two of those were first injured while working on night shift leading to 11 cases for afternoon shift and 17 (15+2) cases for the night shift.

d

IR is computed as the number of participants with first serious injury divided by total person-hours for the shift and the result expressed in 100 000 working hours.

e

The 95% CI were computed using the Poisson regression model for ungrouped data.