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Table 2 Respondent characteristics

From: Job burnout and its influencing factors in Chinese medical staffs under China’s prevention and control strategy for the COVID-19 pandemic

Variable

Value

Maslach Burnout inventory score, mean ± SD

Total score

Emotional exhaustion

Depersonalization

Personal accomplishment

Sex, n (%)

 Female

204 (75.56)

30.10 ± 10.67

9.81 ± 3.87

11.88 ± 5.59

8.41 ± 5.14

 Male

66 (24.44)

30.32 ± 12.02

10.09 ± 3.76

12.33 ± 5.99

7.89 ± 5.33

t

 

–0.138

–0.518

–0.560

0.705

Degree, n (%)

 Junior college

54 (20.00)

31.28 ± 10.70

10.15 ± 3.98

12.54 ± 5.83

8.59 ± 4.87

 Undergraduate

208 (77.04)

29.97 ± 11.07

9.84 ± 3.85

11.88 ± 5.67

8.25 ± 5.25

 Postgraduate and above

8 (2.96)

27.38 ± 11.64

9.00 ± 2.67

11.38 ± 5.42

7.00 ± 5.76

F

 

0.565

0.351

0.338

0.343

Professional title, n (%)

 Primary

90 (33.33)

29.36 ± 10.93

9.59 ± 3.81

11.84 ± 5.82

7.92 ± 5.11

 Mid-level

157 (58.15)

31.12 ± 11.01

10.24 ± 3.87

12.41 ± 5.54

8.47 ± 5.23

 Senior

23 (8.52)

26.70 ± 10.58

8.57 ± 3.44

9.70 ± 5.69

8.43 ± 5.30

F

 

1.998

2.304

2.368

0.330

Job category, n (%)

 Doctor

31 (11.48)

29.42 ± 11.88

9.81 ± 4.00

10.97 ± 5.79

8.65 ± 5.23

 Nurse

239 (88.52)

30.25 ± 10.89

9.89 ± 3.82

12.13 ± 5.66

8.24 ± 5.18

t

 

–0.396

–0.110

–1.068

0.411

Workplace, n (%)

 Country

134 (49.63)

29.97 ± 11.29

9.81 ± 3.75

11.81 ± 5.75

8.35 ± 5.30

 Town

136 (50.37)

30.34 ± 10.72

9.94 ± 3.94

12.18 ± 5.63

8.22 ± 5.08

t

 

–0.275

–0.273

–0.535

0.206

Marital status, n (%)

 Married

144 (53.33)

29.57 ± 10.86

9.42 ± 3.67

11.61 ± 5.67

8.54 ± 5.49

 Single

126 (46.67)

30.83 ± 11.15

10.40 ± 3.97

12.43 ± 5.68

7.99 ± 4.81

t

 

–0.936

–2.124*

–1.181

0.869

  1. *P < 0.05, **P < 0.01