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. 2018 Nov 15;13(11):e0207322. doi: 10.1371/journal.pone.0207322

Table 4. Logistic regression models for CMD risk.

The analyses only includes LHTDs from whom blood samples were obtained to test for cardiometabolic risks.

Wald X2 Odds Ratio 95% CI p
Cardiovascular Risk
Driving Experience (10 years or less)
Overall Stress (reduced overall stress)
Sleep Duration (good sleep duration)
Sleep Quality (good sleep quality)
Sleep Apnea Diagnosis (no diagnosis)
Work Organization (improved scheduling)
X2 = 25.77, p < 0.001
Cox and Snell R2 = 0.23
Nagelkerke R2 = 0.24 		17.04
0.39
0.06
4.24
2.24
0.19		 0.19
1.28
1.10
0.41
0.44
1.18		 0.09, 0.42
0.60, 2.70
0.52, 2.34
0.18, 0.96
0.15, 1.29
0.56, 2.45		 0.01***
0.53
0.81
0.04*
0.14
0.67
Metabolic Risk
Driving Experience (10 years or less)
Overall Stress (reduced stress)
Sleep Duration (good sleep duration)
Sleep Quality (good sleep quality)
Sleep Apnea Diagnosis (no diagnosis)
Work Organization (improved scheduling)
X2 = 15.25, p < 0.01
Cox and Snell R2 = 0.14
Nagelkerke R2 = 0.15 		6.81
0.44
1.23
5.19
0.27
0.03		 0.37
1.29
0.65
0.38
0.76
1.07		 0.18, 0.78
0.61, 2.72
0.31, 1.39
0.16, 0.87
0.26, 2.17
0.52, 2.22		 0.01**
0.51
0.27
0.02*
0.60
0.86

*** p < 0.001;

** p < 0.01;

* p < 0.05.