Research Article
Job Burnout, Mood State, and Cardiovascular Variable Changes of Doctors and Nurses in a Children’s Hospital in China
Table 3
Job burnout scores of different demographic variables.
| Demographic characteristics | n | EE | DP | PA |
| Sex | | | | | Male | 38 | | | | Female | 278 | | | | t | | −0.781 | −0.69 | −1.015 | P | | 0.435 | 0.491 | 0.311 | Age | | | | | 20–29 | 152 | | | | 30–39 | 108 | | | | ≥40 | 56 | | | | F | | 5.622 | 4.049 | 5.706 | P | | 0.004 | 0.018 | 0.004 | Education | | | | | High school or below | 128 | | | | University | 107 | | | | Graduate school | 81 | | | | F | | 3.867 | 2.254 | 1.102 | P | | 0.022 | 0.107 | 0.334 | Department | | | | | Medicine | 129 | | | | Surgery | 87 | | | | Emergency | 52 | | | | Others | 48 | | | | F | | 3.348 | 2.057 | 2.607 | P | | 0.02 | 0.11 | 0.05 | Is marriedA | | | | | Unmarried | 100 | | | | Married | 213 | | | | t | | −4.224 | −4.497 | −0.664 | P | | <0.001 | <0.001 | 0.507 |
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There are also two divorced and one widowed.
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