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. 2021 Feb 11;11(2):e042966. doi: 10.1136/bmjopen-2020-042966

Table 3.

Distribution of different included characteristics in the survey according to burn-out

Variable All (n=1015)
Median IQR or number/total (%)
No burn-out (n=609)
Median IQR or number/total (%)
Burn-out (n=406)
Median IQR or number/total (%)
P value
Demographics
 Age (years) 37 (31–47) 38 (31–48) 36 (30–44) 0.002
 Female 638/1015 (62.9%) 371/609 (60.9%) 266/406 (65.5%) 0.138
 Stable partner (married or unmarried) 780/1011 (77.2%) 478/608 (78.6%) 302/403 (74.9%) 0.172
 Partner is healthcare worker 525/934 (56.2%) 315/558 (56.5%) 209/376 (55.6%) 0.794
 Children 474/1009 (47%) 308/605 (50.9%) 166/404 (41.1%) 0.002
 Living with elderly person 97/1012 (9.6%) 51/607 (8.4%) 46/407 (11.4%) 0.118
 Being forced to separate from your family 302/1014 (29.8%) 168/609 (27.6%) 134/406 (33.1%) 0.061
 Afraid of infecting their family 872/1005 (86.8%) 506/601 (84.2%) 366/404 (90.6%) 0.003
 Infected with SARS-CoV-2 176/1009 (17.4%) 103/605 (17%) 73/404 (18.1%) 0.668
Work conditions
 Resident doctor 250/1014 (24.7%) 135/609 (22.2%) 115/406 (28.3%) 0.026
 Medical specialist 702/1014 (69.2%) 426/609 (70%) 276/406 (68%) 0.026
 Service head 60/1014 (5.9%) 46/609 (7.6%) 14/406 (3.5%) 0.026
 Medical director 2/1014 (0.2%) 1/609 (0.2%) 1/406 (0.2%) 0.026
 Regional hospital 257/1006 (25.5%) 149/609 (24.5%) 108/406 (26.6%) 0.228
 Secondary hospital 234/1006 (23.3%) 145/609 (23.8%) 88/406 (21.7%) 0.228
 Tertiary hospital 510/1006 (50.3%) 303/609 (49.8%) 208/406 (51.2%) 0.228
 Research centre/medical school 5/1006 (0.5%) 4/609 (0.7%) 1/406 (0.2%) 0.228
 Time to work >1 hour 58/1012 (5.7%) 25/607 (4.1%) 33/405 (8.1%) 0.007
 On foot to work 232/1011 (22.9%) 146/609 (24%) 85/406 (20.9%) 0.009
 By car to work 611/1011 (60.4%) 367/609 (60.3%) 244/406 (60.1%) 0.009
 Public transport to work 132/1011 (13.1%) 66/609 (10.8%) 67/406 (16.5%) 0.009
 Bicycle to work 22/1011 (2.2%) 13/609 (2.1%) 9/406 (2.2%) 0.009
 Motorcycle to work 13/1011 (1.3%) 13/609 (2.1%) 0/406 (0%) 0.009
 Assisted patients with COVID-19 931/1010 (92.2%) 544/606 (89.8%) 387/404 (95.8%) <0.001
 More responsibility at work during pandemic 740/1011 (73.2%) 406/607 (66.9%) 334/404 (82.7%) <0.001
 Recognition of increased responsibility 85/737 (11.5%) 63/408 (15.4%) 22/329 (6.7%) <0.001
 Number of patients per day 10 (8–12) 10 (8–12) 10 (8–12) 0.345
 No access to PPE when needed 295/1003 (29.4%) 151/601 (25.1%) 144/258 (35.8%) <0.001
 Increase in weekly working hours work 821/1010 (81.3%) 475/604 (78.6%) 346/406 (85.2%) 0.009
 Guard hours per week 32 (15–52) 30 (14–50) 40 (16.5–56) 0.009
 Economical compensation for overtime 257/913 (28.1%) 188/538 (34.9%) 69/375 (18.4%) <0.001
 No rest after 24-hour shift 139/997 (13.9%) 65/594 (10.9%) 74/403 (18.4%) 0.001
 Not having 48 hours per week to rest 582/1003 (58%) 318/599 (53.1%) 264/404 (65.3%) <0.001
 Free days in the last month 6 (4–7) 6 (4–7) 5 (3–6) <0.001
 No holiday in the last 6 months 646/1011 (63.9%) 369/606 (60.9%) 276/405 (68.1%) 0.019
 Stable contract 514/1015 (50.6%) 328/609 (53.9%) 186/406 (45.8%) 0.012
Habits and thoughts
 Physical or any leisure activity twice a week 559/1015 (55.1%) 356/609 (58.5%) 203/406 (50%) 0.008
 More tobacco (increased consumption or started to consume) 64/1015 (6.3%) 31/609 (5.1%) 33/406 (8.1%) 0.051
 More alcohol (increased consumption or started to consume) 209/1015 (20.6%) 96/609 (15.8%) 113/406 (27.8%) <0.001
 Use of recreational drugs 15/1015 (1.5%) 9/606 (1.5%) 6/402 (1.5%) 0.649
 Need for sleeping pills 188/1011 (18.6%) 83/605 (13.7%) 105/405 (25.9%) <0.001
 Use of antidepressant drugs 58/1010 (5.7%) 32/606 (5.3%) 26/404 (6.4%) 0.440
 Would not choose internal medicine again 212/1008 (21%) 80/603 (13.3%) 132/404 (32.7%) <0.001
 Having thought of changing specialty 395/1011 (39.1%) 172/607 (28.3%) 223/404 (55.2%) <0.001
 Having thought of working abroad 555/1008 (55.1%) 299/606 (49.3%) 256/402 (63.7%) <0.001
 Having thought of abandoning medicine 604/1009 (59.9%) 302/606 (49.8%) 302/403 (74.9%) <0.001

All variables in italics are significantly (p<0.05) related to burn-out syndrome.

PPE, personal protective equipment.