Table 4

Logistic Regression

Simple Logistic Regression
Outcome = Overall Score Failure (≤ 16)
Model
Variable
Count
OR
P > |Z|
95% CI

1
Male
408
referent
--
--
2
Age
433
1.09
0.001
(1.06,1.12)
3
Rank
433
1.07
0.001
(1.04,1.11)
4
Tenure
433
1.07
0.001
(1.04,1.10)
5
No Injuries
315
referent
--
--

Any Injuries
118
1.43
0.115
(0.92,2.24)
6
# Injuries
433
1.22
0.093
(0.97,1.54)
7
No Time Lost
379
referent
--
--

Injured & Lost Time
54
1.66
0.090
(0.92,2.98)
Multiple Logistic Regression
Outcome = Overall Score Failure (≤ 16)
Significant Models Only
Model
Variable
OR
P > |Z|
95% CI
LROC

1
Age
1.09
0.001
(1.06, 1.12)


Any Injuries
1.68
0.033
(1.04, 2.71)
0.703
2
Age
1.09
0.001
(1.06, 1.12)


# Injuries
1.29
0.044
(1.01, 1.66)
0.702
3
Age
1.09
0.001
(1.06, 1.12)


Injured & Lost Time
1.85
0.054
(0.99, 3.44)
0.702

Peate et al. Journal of Occupational Medicine and Toxicology 2007 2:3   doi:10.1186/1745-6673-2-3