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