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. Author manuscript; available in PMC: 2016 Nov 1.
Published in final edited form as: Occup Environ Med. 2015 Sep 14;72(11):798–804. doi: 10.1136/oemed-2015-102966

Table 4.

A priori approach: Multivariable model results for predicting injury as a function of shift length and other characteristics

Relative Risk (95% CI) p-value
Shift Length (category)
 ≤8 hours 0.70 (0.51–0.96) 0.029
 >8 & ≤12 hours Referent ---
 >12 & ≤16 hours 1.27 (0.91–1.77) 0.158
 >16 and ≤24 hours 1.60 (1.22–2.10) 0.001
 >24 hours 1.18 (0.16–8.49) 0.87
Overnight shift 0.78 (0.65–0.93) 0.005
Consecutive shift 0.84 (0.62–1.15) 0.29
Crew Familiarity
 0–1 shifts Referent ---
 2–7 shifts 1.05 (0.88–1.24) 0.59
 8–19 shifts 1.08 (0.90–1.30) 0.39
 ≥20 shifts 1.14 (0.91–1.41) 0.25
Hours of recovery 1.00 (1.00–1.00) 0.85
Employment Status
 Full-time Referent ---
 Part-time 0.91 (0.78–1.07) 0.26
Midpoint Agency Size (20 person units) 0.99 (0.86–1.13) 0.88
*

Model includes 961,827 observations. The hours of recovery was not available for the first shift in the dataset.