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. 2022 May 28;22:365. doi: 10.1186/s12888-022-04014-x

Table 3.

Occupational burnout in participants during COVID-19 outbreak among HCWs stratified by socio-demographic variables

Variables Emotional Exhaustion Depersonalization Personal Accomplishment Occupational Burn out
Mild
N (%)
Moderate
N (%)
Severe
N (%)
p-value* Mild
N (%)
Moderate
N (%)
Severe
N (%)
p-value* Mild
N (%)
Moderate
N (%)
Severe
N (%)
p-value* Yes No p-value*
Gender Female 1727 (22.6%) 1802 (23.6%) 2053 (26.9%) < 0.001 499 (6.5%) 2388 (31.3%) 2695 (35.3%) 0.011 1315 (17.2%) 1088 (14.3%) 3179 (41.7%) < 0.001 1090 (14.3%) 4492 (58.9%) < 0.001
Male 881 (11.6%) 609 (8.0%) 554 (7.3%) 217 (2.8%) 808 (10.6%) 1019 (13.4%) 587 (7.7%) 362 (4.7%) 1095 (14.4%) 305 (4.0%) 1739 (22.8%)
Having children Yes 1045 (13.7%) 851 (11.2%) 798 (10.5%) 0 < 0.01 242 (3.2%) 1365 (17.9%) 1087 (14.3%) < 0.001 872 (11.4%) 558 (7.3%) 1264 (16.6%) < 0.001 352 (4.6%) 2342 (30.7%) < 0.001
No 1563 (20.5%) 1560 (20.5%) 1809 (23.7%) 474 (6.2%) 1831 (24.0%) 2627 (34.4%) 1030 (13.5%) 892 (11.7%) 3010 (39.5%) 1043 (13.7%) 3889 (51.0%)
Age 20–30 1322 (17.3%) 1366 (17.9%) 1599 (21.0%) < 0.001 425 (5.6%) 1449 (19.0%) 2413 (31.6%) < 0.001 822 (10.8%) 804 (10.5%) 2661 (34.9%) < 0.001 935 (12.3%) 3352 (44.0%) < 0.001
31–40 817 (10.7%) 731 (9.6%0 738 (9.7%) 211 (2.8%) 1107 (14.5%) 968 (12.7%) 617 (8.1%) 436 (5.7%) 1233 (16.2%) 364 (4.8%) 1922 (25.2%)
41–50 356 (4.7%) 246 (3.2%) 227 (3.0%) 64 (0.8%) 501 (6.6%) 264 (3.5%) 347 (4.6%) 169 (2.2%) 313 (4.1%) 80 (1.0%) 749 (9.8%)
16 (0.2%) 208 (2.7%)
> 50 113 (1.5%) 68 (0.9%) 43 (0.6%) 16 (0.2%) 139 (1.8%) 69 (0.9%) 116 (1.5%) 41 (0.5%) 67 (0.9%)
Marital status Single 1038 (13.6%) 978 (12.8%) 1160 (15.2%) 0.001 284 (3.7%) 1170 (15.3%) 1722 (22.6%) < 0.001 671 (8.8%) 571 (7.5%) 1934 (25.4%) < 0.001 682 (8.9%) 2494 (32.7%) < 0.001
Married 1503 (19.7%) 1382 (18.1%) 1372 (18.0%) 414 (5.4%) 1944 (25.5%) 1899 (24.9%) 1174 (15.4%) 844 (11.1%) 2239 (29.4%) 670 (8.8%) 3587 (47.0%)
Divorced/widowed 67 (0.9%) 51 (0.7%) 75 (1.0%) 18 (0.2%) 82 (1.1%) 93 (1.2%) 57 (0.7%) 35 (0.5%) 101 (1.3%) 43 (0.6%) 150 (2.0%)
Work experience 0–5 1267 (16.6%) 1237 (16.2%) 1405 (18.4%) < 0.001 403 (5.3%) 1382 (18.1%) 2124 (27.9%) < 0.001 780 10.2%) 734 (9.6%) 2395 (31.4%) < 0.001 813 (10.7%) 3096 (40.6%) < 0.001
6–10 527 (6.9%) 492 (6.5%) 566 (7.4%) 148 (1.9%) 664 (8.7%) 773 (10.1%) 377 (4.9%) 286 (3.8%) 922 (12.1%) 314 (4.1%) 1271 (16.7%)
11–15 376 (4.9%) 372 (4.9%) 352 (4.6%) 87 (1.1%) 535 (7.0%) 478 (6.3%) 318 (4.2%) 277 (3.0%) 555 (7.3%) 161 (2.1%) 939 (12.3%)
16–20 210 (2.8%) 171 (2.2%) 150 (2.0%) 44 (0.6%) 303 (4.0%) 184 (2.4%) 196 (2.6%) 104 (1.4%) 231 (3.0%) 65 (0.9%) 466 (6.1%)
21–25 126 (1.7%) 94 (1.2%) 90 (1.2%) 18 (0.2%) 190 (2.5%) 102 (1.3%) 132 (1.7%) 69 (0.9%) 109 (1.4%) 25 (0.3%) 285 (3.7%)
26–30 102 (1.3%) 45 (0.6%) 44 (0.6%) 16 (0.2%) 122 (1.6%) 53 (0.7%) 99 (1.3%) 30 (0.4%) 62 (0.8%) 17 (0.2%) 174 (2.3%)
Level of education Undergraduate 412 (5.4%) 253 (3.3%) 223 (2.9%) < 0.001 117 (1.5%) 379 (5.0%) 392 (5.1%) < 0.001 260 (3.4%) 171 (2.2%) 457 (6.0%) < 0.001 99 (1.3%) 789 (10.3%) < 0.001
Bachelor’s degree 1677 (22.0%) 1738 (22.8%) 1908 (25.0%) 494 (6.5%) 2117 (27.8%) 2712 (35.6%) 1196 (15.7%) 1014 (13.3%) 3113 (40.8%) 1058 (13.9%) 4265 (55.9%)
Master’s and Ph.D. degree 240 (3.1%) 202 (2.6%) 186 (2.4%) 58 (0.8%) 320 (4.2%) 250 (3.3%) 197 (2.6%) 105 (1.4%) 326 (4.3%) 86 (1.1%) 542 (7.1%)
General & special professional doctorate 279 (3.7%) 218 (2.9%) 290 (3.8%) 47 (0.6%) 380 (5.0%) 360 (4.7%) 249 (3.3%) 160 (2.1%) 378 (5.0%) 152 (2.0%) 635 (8.3%)
Occupation Clinician 406 (5.3%) 312 (4.1%) 380 (5.0%) < 0.001 95 (1.2%) 497 (6.5%) 506 (6.6%) < 0.001 322 (4.2%) 213 (2.8%) 563 (7.4%) < 0.001 199 (2.6%) 899 (11.8%) < 0.001
Nurse 1323 (17.3%) 1476 (19.4%) 1610 (21.1%) 374 (4.9%) 1645 (21.6%) 2390 (31.3%) 970 (12.7%) 830 (10.9%) 2609 (34.2%) 904 (11.9%) 3505 (46.0%)
Others 879 (11.5%) 623 (8.2%) 617 (8.1%) 247 (3.3%) 1054 (13.8%) 818 (10.1%) 610 (8.0%) 407 (5.3%) 1102 (14.5%) 292 (3.8%) 1827 (23.9%)
Working in isolated wards Yes 1026 (13.5%) 1082 (14.2%) 1312 (17.2%) < 0.001 262 (3.4%) 1301 (17.1%) 1857 (24.4%) < 0.001 850 (11.1%) 670 (8.8%) 1900 (24.9%) 0.504 724 (9.5%) 2696 (35.4%) < 0.001
No 1582 (20.7%) 1329 (17.4%) 1295 (17.0%) 454 (6.0%) 1895 (24.8%) 1857 (24.4%) 1052 (13.8%) 780 (10.2%) 2374 (56.4%) 671 (8.8%) 3535 (46.4%)
Working hours with COVID-19 patients <  4 1326 (17.4%) 995 (13.1%) 875 (11.5%) < 0.001 374 (4.9%) 1446 (18.9%) 1376 (18.1%) < 0.001 771 (10.2%) 576 (7.6%) 1849 (24.2%) 0.049 452 (6.0%) 2744 (35.9%) < 0.001
4–8 881 (11.6%) 1024 (13.5%) 11.69 (15.3%) 225 (2.9%) 1264 (16.6%) 1585 (20.7%) 776 (10.2%) 612 (8.1%) 1686 (22.1%) 626 (8.2%) 2448 (11.6%)
> 8 401 (5.3%) 392 (5.1%) 563 (7.4%) 117 (1.5%) 486 (6.4%) 753 (9.9%) 355 (4.7%) 262 (3.4%) 739 (9.7%) 317 (4.2%) 1039 (13.6%)
History of physical illness Yes 429 (5.6%) 467 (6.1%) 604 (7.9%) < 0.001 124 (1.6%) 629 (8.2%) 744 (9.8%) 0.245 421 (5.5%) 282 (3.7%) 794 (10.4%) 0.005 295 (3.9%) 1202 (15.8%) 0.117
No 2179 (28.6%) 1947 (25.5%) 2003 (26.3%) 592 (7.8%) 2567 (33.7%) 2970 (38.9%) 1481 (19.4%) 1168 (15.3%) 3480 (45.6%) 1100 (14.4%) 5029 (65.9%)
History of psychiatric disorders Yes 139 (1.8%) 177 (2.3%) 323 (4.2%) < 0.001 52 (0.7%) 236 (3.1%) 351 (4.6%) 0.004 102 (1.3%) 114 (1.5%) 423 (5.5%) < 0.001 181 (2.4%) 458 (6.0%) < 0.001
No 2469 (32.4%) 2234 (29.3%) 2284 (30.0%) 664 (8.7%) 2960 (38.8%) 3363 (44.1%) 1800 (23.6%) 1336 (17.5%) 3851 (50.5%) 1214 (15.9%) 5773 (75.7%)

*Chi square test