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Table 5 Predictors of burnout by using binary logistic regression and of EE, DP and PA by using linear regression

From: The factors associated with the burnout syndrome and fatigue in Cypriot nurses: a census report

Independent variable Model 1 Model 2 Model 3 Model 4 Model 5
  Odds ratio(95%CI) p-value Odds ratio(95%CI) p-value Odds ratio(95%CI) p-value Odds ratio(95%CI) p-value Odds ratio(95%CI) p-value
Fixed effect           
My job is stressfulYes (1) 4.64(2.65 – 8.11) <0.001 5.81(1.01–34.04) 0.05 4.14(1.28–13.40) 0.018 7.08(1.28–39.08) 0.02 6.65(1.21–36.47) 0.03
Age 0.96(0.94–0.98) <0.001 0.94(0.89–0.94) 0.03 0.95(0.91–0.99) 0.014 0.94(0.89–0.99) 0.03 0.94(0.89–0.99) 0.04
Fatigue 5.10(1.22 – 21.43) <0.003 7.63 (0.05–11.25) 0.42 4.96(4.37–5.63) 0.1964 -   - -
EE -   0.69(0.61–0.79) <0.0001 1.38 (1.29–1.49) <0.001 0.69(0.60–0.79) <0.001 0.69(0.61–0.79) <0.001
DP -   0.18(0.11–0.31) <0.0001 1.58 (1.43–1.76) <0.0001 0.17(0.1–0.30) <0.001 0.18(0.11–0.31) <0.001
EE*DP -   1.08(1.06–1.10) <0.0001 - - 1.08(1.05–1.11) <0.001 1.08(1.06–1.10) <0.001
Random effect (variances)           
Gender 0.0494   1.6474     1.48   0.0046458  
Gender (within town)Male (1)      0.918     0.067340  
Fatigue (within gender)        0.43   0.0050315  
Deviance 812.9   123.6   207   125.7   126.6  
Null model deviance = 953