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. 2022 Nov 23;10:1047814. doi: 10.3389/fpubh.2022.1047814

Table 6.

Results of binary logistic regression analysis of associated factors of wrist injury.

Variable Category Number Injury OR (95% CI)
No injury With injury Crude Adjusted*
Gender Female 17,544 2,717
Male 32,404 4,836 1.07 (1.01, 1.12) 1.28 (1.18, 1.39)
Working age ≤5 30,693 4,739
>5 19,255 2,714 0.99 (0.94, 1.04) 1.09 (1.03, 1.15)
Sporting No 15,361 2,584
Occasionally 26,249 3,926 0.94 (0.88, 0.99) 0.92 (0.87, 0.98)
Frequently 8,338 1,043 0.83 (0.77, 0.90) 0.86 (0.80, 0.94)
Whether the wrist is often bent up/down at work No 19,298 1,074
Yes 30,650 6,479 2.01 (1.87, 2.17) 1.97 (1.82, 2.12)
Whether the wrist is often placed on the edge of a hard, No 33,997 3,478
angular object Yes 15,951 4,075 1.47 (1.40, 1.56) 1.54 (1.45, 1.62)
Do you need to pinch/grasp objects/tools with your hands No 12,695 625
during work Yes 37,289 6,928 1.86 (1.70, 2.04) 1.73 (1.58, 1.90)
Hand position at work Shoulder or below shoulder level 41,295 6,090
Above shoulder level 8,653 1,463 1.15 (1.08, 1.22) 1.16 (1.05, 1.19)
Whether the wrist needs to be bent for a long time No 29,919 2,356
Yes 20,029 5,197 1.93 (1.82, 2.04) 1.87 (1.76, 2.00)
*

Is the OR value after adjusting smoking, industry, occupation.