Table 2. Comparison of baseline characteristics between individuals with non-mental health problem and mental health problem (n = 37,758).
| Characteristics | Total | Non-depression (n = 25,395) | Depression (n = 12,363) | p-value | Non-anxiety (n = 35,623) | Anxiety (n = 2,135) | p-value | Non-fatigue (n = 27,776) | Fatigue (n = 9,982) | p-value | |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Sex | 0.052 | 0.798 | < 0.001 | ||||||||
| Male | 17,871 (47.33) | 11,973 (67.00) | 5,898 (33.00) | 16,893 (94.53) | 978 (5.47) | 13,420 (75.09) | 4,451 (24.91) | ||||
| Female | 19,887 (52.67) | 13,422 (67.49) | 6,465 (32.51) | 18,730 (94.18) | 1,157 (5.82) | 14,356 (72.19) | 5,531 (27.81) | ||||
| Age (years) | < 0.001 | < 0.001 | < 0.001 | ||||||||
| 20–29 | 3,590 (9.51) | 2,705 (75.35) | 885 (24.65) | 3,447 (96.02) | 143 (3.98) | 3,010 (83.84) | 580 (16.16) | ||||
| 30–39 | 7,191 (19.04) | 5,176 (71.98) | 2,015 (28.02) | 6,773 (94.19) | 418 (5.81) | 5,663 (78.75) | 1,528 (21.25) | ||||
| 40–49 | 8,958 (23.72) | 6,265 (69.94) | 2,693 (30.06) | 8,422 (94.02) | 536 (5.98) | 6,640 (74.12) | 2,318 (25.88) | ||||
| 50–59 | 9,837 (26.05) | 6,561 (66.70) | 3,276 (33.30) | 9,264 (94.18) | 573 (5.82) | 6,979 (70.95) | 2,858 (29.05) | ||||
| ≥ 60 | 8,182 (21.67) | 4,688 (57.30) | 3,494 (42.70) | 7,717 (94.32) | 465 (5.68) | 5,484 (67.03) | 2,698 (32.97) | ||||
| Household monthly incomea (KRW) | < 0.001 | 0.322 | < 0.001 | ||||||||
| < 2,000,000 | 10,410 (27.57) | 6,184 (59.40) | 4,226 (40.60) | 9,824 (94.37) | 586 (5.63) | 7,469 (71.75) | 2,941 (28.25) | ||||
| 2,000,000–3,000,000 | 12,591 (33.35) | 8,661 (68.79) | 3,930 (31.21) | 11,903 (94.54) | 688 (5.46) | 9,373 (74.44) | 3,218 (25.56) | ||||
| 3,000,000–4,000,000 | 8,386 (22.21) | 5,927 (70.68) | 2,459 (29.32) | 7,915 (94.38) | 471 (5.62) | 6,181 (73.71) | 2,205 (26.29) | ||||
| ≥ 4,000,000 | 6,371 (16.87) | 4,623 (72.56) | 1,748 (27.44) | 5,981 (93.88) | 390 (6.12) | 4,753 (74.60) | 1,618 (25.40) | ||||
| Occupational classification | < 0.001 | 0.064 | < 0.001 | ||||||||
| White collar workers | 13,978 (37.02) | 10,247 (73.31) | 3,731 (26.69) | 13,137 (93.98) | 841 (6.02) | 11,013 (78.79) | 2,965 (21.21) | ||||
| Pink collar workers | 11,479 (30.40) | 7,761 (67.61) | 3,718 (32.39) | 10,851 (94.53) | 628 (5.47) | 8,400 (73.18) | 3,079 (26.82) | ||||
| Blue collar workers | 12,301 (32.58) | 7,387 (60.05) | 4,914 (39.95) | 11,635 (94.59) | 666 (5.41) | 8,363 (67.99) | 3,938 (32.01) | ||||
| Company size | < 0.001 | < 0.001 | 0.002 | ||||||||
| < 50 workers | 29,214 (77.37) | 19,253 (65.90) | 9,961 (34.10) | 27,647 (94.64) | 1,567 (5.36) | 21,369 (73.15) | 7,845 (26.85) | ||||
| 50–300 workers | 4,468 (11.83) | 3,137 (70.21) | 1,331 (29.79) | 4,201 (94.02) | 267 (5.98) | 3,365 (75.31) | 1,103 (24.69) | ||||
| ≥ 300 workers | 4,076 (10.80) | 3,005 (73.72) | 1,071 (26.28) | 3,775 (92.62) | 301 (7.38) | 3,042 (74.63) | 1,034 (25.37) | ||||
| Weekly working hours (hours) | 43.13 ± 11.87 | 42.80 ± 11.16 | 43.81 ± 13.19 | < 0.001 | 43.06 ± 11.83 | 44.34 ± 12.41 | < 0.001 | 42.55 ± 11.37 | 44.74 ± 13.02 | < 0.001 | |
| Shift work status | 0.004 | 0.010 | < 0.001 | ||||||||
| Yes | 2,447 (6.48) | 1,620 (66.20) | 827 (33.80) | 2,280 (93.18) | 167 (6.82) | 1,712 (69.96) | 735 (30.04) | ||||
| No | 35,311 (93.52) | 23,775 (67.33) | 11,536 (32.67) | 33,343 (94.43) | 1,968 (5.57) | 26,064 (73.81) | 9,247 (26.19) | ||||
Categorical data presented as number (%); continuous data presented as mean ± standard deviation.
KRW = Korean won
a2 million KRW = 1,559 US dollars, 3 million KRW = 2,338 US dollars, 4 million KRW = 3,118 US dollars.