01 August 2020: Clinical Research
Effects of Occupational Stress and Circadian CLOCK Gene Polymorphism on Sleep Quality of Oil Workers in Xinjiang, China
Li Ning 1BCDEF* , Lingyun Shi 2BCDEF* , Ning Tao 1BC , Rong Li 1BC , Ting Jiang 1BC , Jiwen Liu 1ABEG*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 | |
| 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%) | |||