Table 4.
Bivariate | Multivariate | |||||
---|---|---|---|---|---|---|
Beta value | CI | P value | Beta value | CI | P value | |
Profession1 | −0.08 | −0.33–0.18 | 0.560 | |||
| ||||||
Gender2 | 0.13 | −0.09–0.35 | 0.259 | |||
Experience3 | −0.00 | −0.02–0.01 | 0.757 | |||
Department4 | ||||||
Medical | −0.22 | −0.40 to −0.03 | 0.021 | |||
Cardiac | −0.07 | −0.27 to −0.13 | 0.479 | |||
Job satisfaction | −0.02 | −0.03 to −0.01 | <0.001 | −0.01 | −0.02 to −0.01 | <0.001 |
Job stress | 0.50 | 0.39–0.62 | <0.001 | 0.43 | 0.32–0.55 | <0.001 |
Personality (BCI)5 | ||||||
Neuroticism | 0.06 | 0.03–0.10 | 0.001 | |||
Extroversion | −0.01 | −0.05–0.02 | 0.405 | |||
Control | −0.03 | −0.01–0.07 | 0.107 |
Bivariate and multivariate linear regression analyses of variables associated with the burnout dimension emotional exhaustion. 1Profession: 1: nurse, 2: physician, 2Gender: 1: male, 2: female, 3Experience: 1: inexperienced, 2: experienced, 4Department: 1: general ICU, 2: medical ICU, and 3: cardiac ICU, and 5BCI: basic character inventory.
Bold data refer to significant values in the analyses (P < 0.05).