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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