01 August 2020 : Clinical Research
Effects of Occupational Stress and Circadian CLOCK Gene Polymorphism on Sleep Quality of Oil Workers in Xinjiang, China
Li Ning1BCDEF, Lingyun Shi2BCDEF, Ning Tao1BC, Rong Li1BC, Ting Jiang1BC, Jiwen Liu1ABEG*DOI: 10.12659/MSM.924202
Med Sci Monit 2020; 26:e924202
Table 8 Comparison between different occupational stress groups with different demographic characteristics.
| Item | Low-stress group (n=152) | Moderate-stress group (n=1213) | High-stress group (n=751) | χ2 | I | |
|---|---|---|---|---|---|---|
| Sex | Male | 78 (3.69%) | 537 (25.38%) | 405 (19.14%) | 17.962 | <0.001 |
| Female | 74 (3.50%) | 676 (31.95%) | 346 (16.35%) | |||
| Age | ≤30 years old | 24 (1.13%) | 212 (10.02%) | 149 (7.04%) | 8.478 | 0.076 |
| 30~45 years old | 80 (3.78%) | 673 (31.81%) | 369 (17.44%) | |||
| >45 years old | 48 (2.27%) | 328 (15.50%) | 233 (11.01%) | |||
| Ethnic group | Han | 108 (5.10%) | 911 (43.05%) | 541 (25.57%) | 2.854 | 0.240 |
| Minority | 44 (2.08%) | 302 (14.27%) | 210 (9.92%) | |||
| Length of service | ≤15 years | 52 (2.46%) | 436 (20.60%) | 277 (13.09%) | 0.445 | 0.800 |
| >15 years | 100 (4.73%) | 777 (36.72%) | 474 (22.40%) | |||
| Work type | Oil production | 22 (1.04%) | 147 (6.95%) | 84 (3.97%) | 12.226 | 0.016 |
| Oil delivery | 35 (1.65%) | 445 (21.03%) | 257 (12.15%) | |||
| Stoker | 95 (4.49%) | 621 (29.35%) | 410 (19.38%) | |||
| Work shifts | Fixed day shift | 52 (2.46%) | 432 (20.42%) | 291 (13.75%) | 3.458 | 0.484 |
| Regular shift | 86 (4.06%) | 693 (32.75%) | 401 (18.95%) | |||
| Irregular shift | 14 (0.66%) | 88.00 (4.16%) | 59 (2.79%) | |||
| Professional titles | Medium grade and below | 87 (4.11%) | 703 (33.22%) | 418 (19.75%) | 1.000 | 0.607 |
| Senior | 65 (3.07%) | 510 (24.10%) | 333 (15.74%) | |||
| Education | Below junior college | 67 (3.17%) | 437 (20.65%) | 282 (13.33%) | 3.833 | 0.147 |
| Junior college and above | 85 (4.02%) | 776 (36.67%) | 469 (22.16%) | |||
| Marriage status | Unmarried | 16 (0.76%) | 158 (7.47%) | 101 (4.77%) | 0.957 | 0.620 |
| Married | 136 (6.43%) | 1055 (49.86%) | 650 (30.72%) | |||
| Income | ≤3500 | 52 (2.46%) | 415 (19.61%) | 266 (12.57%) | 0.312 | 0.856 |
| >3500 | 100 (4.73%) | 798 (37.71%) | 485 (22.92%) | |||
| Smoking | Yes | 60 (2.84%) | 375 (17.72%) | 287 (13.56%) | 13.085 | 0.001 |
| No | 92 (4.35%) | 838 (39.60%) | 464 (21.93%) | |||
| Drinking | Yes | 80 (3.78%) | 619 (29.25%) | 413 (19.52%) | 2.922 | 0.232 |
| No | 72 (3.40%) | 594 (28.07%) | 338 (15.97%) | |||