Table 4.
Results of binary logistic regression analysis of different types of work in various industries.
| Type of work | Number | Number of cases (%) | P-value | OR (95%CI) |
|---|---|---|---|---|
| Animal husbandry | ||||
| Milker | 69 | 3 (4.3) | ||
| Feeder | 33 | 5 (15.2) | 0.07 | 3.93 (0.88, 17.57) |
| Butcher | 39 | 17 (43.6) | <0.01 | 17 (4.55, 63.56) |
| Shipbuilding and related equipment | ||||
| Coppersmith | 164 | 12 (7.3) | ||
| Craneman | 339 | 43 (12.7) | 0.07 | 1.84 (0.94, 3.59) |
| Electric welder | 595 | 91 (15.3) | 0.01 | 2.29 (1.22, 4.29) |
| Ship-fitter | 824 | 126 (15.3) | 0.01 | 2.29 (1.165, 2.58) |
| Polishing operator | 202 | 52 (25.7) | <0.01 | 4.39 (2.25, 8.56) |
| Electronic equipment manufacturing | ||||
| Electric welder | 223 | 16 (7.2) | ||
| Packer | 277 | 36 (13.0) | 0.04 | 1.93 (1.04, 3.58) |
| Fitter | 1,520 | 276 (18.2) | <0.01 | 2.87 (1.70, 4.85) |
| Automatic operator | 105 | 21 (20.0) | <0.01 | 3.23 (1.61, 6.50) |
| Solder work | 96 | 30 (31.3) | <0.01 | 5.88 (3.02, 4.45) |
| Construction industry | ||||
| Bar placer | 206 | 12 (5.8) | ||
| Woodworking | 324 | 39 (12.0) | 0.02 | 2.21 (1.13, 4.33) |
| Punching workers | 19 | 3 (15.8) | 0.11 | 3.03 (0.78, 11.86) |
| Coal mining and cleaning industry | ||||
| Drainage workers | 55 | 2 (3.6) | ||
| Punching workers | 100 | 9 (9.0) | 0.23 | 2.62 (0.55, 12.59) |
| Driver | 324 | 48 (14.8) | 0.04 | 4.61 (1.09, 19.54) |
| Timberer | 34 | 9 (26.5) | 0.01 | 9.54 (1.92, 47.45) |
| Automobile manufacturing | ||||
| Forklift worker | 2,860 | 313 (10.9) | ||
| Gluer | 3,726 | 306 (8.2) | <0.01 | 0.73 (0.62, 0.86) |
| Auto Spray-Painter | 909 | 122 (13.4) | <0.01 | 1.26 (1.01, 1.58) |
| Electric welder | 2,658 | 443 (16.7) | <0.01 | 1.63 (1.39, 1.9) |
| Fitter | 8,275 | 1,589 (19.2) | <0.01 | 1.93 (1.70, 2.20) |
| Polishing operator | 298 | 64 (21.5) | <0.01 | 2.23 (1.65, 3.01) |
| Biopharmaceutical manufacturing | ||||
| Quality worker | 114 | 11 (9.6) | ||
| Formula work | 50 | 9 (18.0) | 0.14 | 2.06 (0.79, 5.33) |
| Filling work | 28 | 7 (25.0) | 0.04 | 3.12 (1.08, 8.98) |
| Toy manufacturing | ||||
| Packer | 71 | 2 (2.8) | ||
| Comber | 114 | 37 (32.5) | <0.01 | 16.83 (3.93, 72.16) |
| Glue maker | 46 | 29 (63.0) | <0.01 | 58.85 (12.77, 271.25) |
| Medical staff | ||||
| Carer | 384 | 29 (7.6) | ||
| Nurse | 4,057 | 465 (11.5) | 0.02 | 1.593 (1.07, 2.34) |
| Doctor | 1,782 | 239 (13.4) | <0.01 | 1.9 (1.27, 2.84) |
| Footwear industry | ||||
| Bottom-making | 204 | 21 (10.3) | ||
| Cropper | 1,250 | 233 (18.6) | <0.01 | 1.67 (1.02, 2.75) |
| Shapers | 634 | 102 (16.1) | <0.01 | 2.00 (1.24, 3.21) |
| Gluer | 406 | 78 (19.2) | <0.01 | 2.07 (1.24, 3.47) |
| Furniture manufacturing | ||||
| Sanders | 234 | 26 (11.1) | ||
| Operator | 447 | 80 (17.9) | 0.02 | 1.74 (1.09, 2.80) |
| 4S automobile store | ||||
| Reworkers | 110 | 7 (6.4) | ||
| Mechanic | 235 | 27 (11.5) | 0.142 | 1.91 (0.81, 4.53) |
| Painter | 124 | 11 (8.9) | 0.474 | 1.43 (0.54, 3.83) |
| Flight attendants | ||||
| Flight attendants | 1,104 | 96 (8.7) | ||
| Purser | 73 | 2 (2.7) | 0.093 | 0.30 (0.07, 1.23) |
| Petrochemical industry | ||||
| Plumber | 42 | 2 (4.8) | ||
| Cranes | 13 | 1 (7.7) | 0.687 | 1.67 (0.14, 20.01) |
| Welders | 25 | 2 (8.0) | 0.592 | 1.74 (0.23, 13.19) |
| Vegetable greenhouse | ||||
| Greenhouse worker | 243 | 16 (6.6) | ||