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. 2022 Jul 4;10(7):1249. doi: 10.3390/healthcare10071249

Table 4.

Bivariate and multivariate logistic regression analysis of factors associated with SIs.

Sharp Injuries (SIs)
Variable Response Yes No OR (95% CI) * p Value
Sex Male 84 (25.1%) 23 (19.7%) 1.36 (0.8,2.3) 0.234
Female 251(74.9%) 94 (80.3%) 1
Work experience 0–10 157 (46.9%) 95 (81.1%) 1.38 (1.32,1.44) 0.004
11–20 117 (34.9%) 14 (12.0%) 1.11 (1.05,1.16) 0.690
21–30 46 (13.7%) 7 (6.0%) 1.1 (1.04,1.23) 0.561
>30 15 (4.5%) 1(0.9%) 1
Age (years) 18–25 40 (11.9%) 65 (55.6%) 1.62 (1.52,1.71) 0.001
26–35 76 (22.7%) 19 (16.2%) 1.20 (1.12,1.28) 0.479
36–45 139 (41.5%) 21 (17.9%) 1.13 (1.08,1.18) 0.952
44–55 66 (19.7%) 10 (8.5%) 1.13 (1.05,1.21) 0.951
>55 14 (4.2%) 2 (1.7%) 1
Shift
(Hours)
07–15 202 (62.5%) 7 (58.3%) 1.03 (1.01,1.06) 0.375
15–23 72 (22.3%) 2 (16.7%) 1.03 (0.99,1.06) 0.515
23–07 26 (8.1%) 3 (25.0%) 1.10 (0.99,1.22) 0.037
All 23 (7.1%) 0 (0%) 1
Profession Physicians 46 (13.7%) 11 (9.4%) 1.16 (1.06,1.26) 0.838
Laboratories/Technician 35 (10.4%) 15 (12.8%) 1.30 (1.17,1.33) 0.015
Students 15 (4.5%) 44 (37.6%) 1.75 (1.64,1.86) 0.001
Other 21 (6.3%) 9 (7.7%) 1.30 (1.13,1.27) 0.051
Nursing/Nursing Assistant/Midwife 218 (65.1%) 38 (33.5%) 1

* OR: odds ratio; CI: confidence interval.