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Table 2 Personal characteristics associated with burnout and severe burnout

From: Prevalence of burnout among intensivists in mainland China: a nationwide cross-sectional survey

Personal characteristics

Total, n (%)

Burnout, n (%)

Severe burnout, n (%)

Sex

   

 Male

1140 (62.9%)

922 (80.9%)

403 (35.4%)

 Female

673 (37.1%)

567 (84.3%)

301 (44.7%)

  

P = 0.07

P < 0.001

Age

   

  ≤ 30 years

216 (11.9%)

192 (88.9%)

104 (48.2%)

 31–39 years

818 (45.1%)

699 (85.5%)

353 (43.2%)

  ≥ 40 years

779 (43.0%)

598 (76.8%)

247 (31.7%)

  

P < 0.001

P < 0.001

Marital status

   

 Married

1670 (92.1%)

1369 (81.9%)

634 (38.0%)

 Single or others

143 (7.9%)

120 (83.9%)

70 (49.0%)

  

P = 0.561

P = 0.010

Children

   

 None

250 (13.8%)

224 (89.6%)

133 (53.2%)

 One

1091 (60.2%)

884 (81.0%)

421 (38.6%)

  ≥ 2 children

472 (26.0%)

381 (80.7%)

150 (31.8%)

  

P = 0.004

P < 0.001

Family history of mental disease

  

 Yes

44 (2.4%)

42 (95.5%)

24 (54.6%)

  

P = 0.02

P = 0.030

Educational background

   

 Undergraduate

1221 (67.4%)

1006 (82.4%)

456 (37.4%)

 Postgraduate

592 (32.7%)

483 (81.6%)

248 (41.9%)

  

P = 0.675

P = 0.063

Academic title

   

 Resident

352 (19.4%)

300 (85.2%)

165 (46.9%)

 Attending physicians

696 (38.4%)

597 (85.8%)

293 (42.1%)

 Directors

765 (42.2%)

592 (77.4%)

246 (32.2%)

  

P < 0.001

P < 0.001

Length of service

   

 1–5 years

580 (32.0%)

496 (85.5%)

258 (44.5%)

 6–10 years

672 (37.1%)

554 (82.4%)

260 (38.7%)

  > 10 years

561 (30.9%)

439 (62.2%)

186 (33.2%)

  

P = 0.006

P < 0.001

  1. Variables are expressed as numbers (percentages). P < 0.05 is regarded as a significant difference