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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

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