Table 3.
Multiple logistic regression analysis of the potential risk factors of moderate and high levels of adverse health effects among gasoline station workers (n = 151).
| Characteristic | Adverse Effect n (%) |
OR | ORadj | 95%CI | p-Value |
|---|---|---|---|---|---|
| Gender | |||||
| Male | 13 (23.21) | 0.95 | 1.33 | 0.56–3.19 | 0.517 |
| Female | 23 (24.21) | 1.00 | 1.00 | ||
| Age (year) | |||||
| ≤30 | 21 (34.43) | 2.63 | 1.96 | 0.84–4.55 | 0.119 |
| >30 | 15 (16.67) | 1.00 | 1.00 | ||
| Education level | |||||
| Primary school or lower | 24 (26.97) | 1.54 | 1.76 | 0.73–4.25 | 0.209 |
| high school or higher | 12 (19.35) | 1.00 | 1.00 | ||
| Zone | |||||
| Urban area | 10 (35.71) | 1.00 | 1.93 | 0.57–6.51 | 0.479 |
| Suburban area | 11 (13.58) | 0.28 | 0.671 | 0.22–2.02 | 0.287 |
| Rural area | 15 (35.71) | 1.00 | 1.00 | ||
| Shift work | |||||
| Day | 16 (30.19) | 0.59 | 0.56 | 0.22–1.39 | 0.214 |
| Night | 20 (20.41) | 1.00 | 1.00 | ||
| Training | |||||
| No | 19 (46.34) | 4.72 | 5.22 | 2.16–12.58 | <0.001 * |
| Yes | 17 (15.45) | 1.00 | 1.00 | ||
| PPE use | |||||
| Yes | 23 (31.94) | 2.38 | 2.11 | 0.86–5.16 | 0.101 |
| No | 13 (16.46) | 1.00 | 1.00 | ||
| Hand washing | |||||
| No | 8 (38.10) | 2.24 | 1.84 | 0.57–5.98 | 0.312 |
| Yes | 28 (21.54) | 1.00 | 1.00 | ||
| Eat food in the working area | |||||
| Yes | 33 (27.73) | 3.71 | 0.64 | 0.009–4.28 | 0.648 |
| No | 3 (9.38) | 1.00 | 1.00 | ||
| Eat food during work | |||||
| Yes | 35 (29.17) | 12.35 | 16.08 | 1.96–131.74 | 0.010 * |
| No | 1 (3.23) | 1.00 | 1.00 |
Remark: Gender, age, education level was always included as the confounders. * Significant factors effecting with health adverse effect of benzene exposure p-value < 0.05.