Table 5. Regression analysis of factors affecting using of sunscreen comparing always to never use.
*Significant p-values.
| Variables | Odd ratio 95% confidence interval | p-Value | |
| Gender | Male | Reference | |
| Female | 18.0 (7.46-45.860) | 0.001* | |
| Age (years) | 18-20 | Reference | |
| 21-23 | 2.28 (1.00-5.199) | 0.049* | |
| 24-26 | 0.88 (0.33-2.33) | 0.804 | |
| 27-29 | 0.92 (0.08-9.47) | 0.945 | |
| 30 or older | 0.54 (0.02-11.87) | 0.698 | |
| Educational level | 1st year | Reference | |
| 2nd year | 3.65 (1.09-12.26) | 0.035* | |
| 3rd year | 4.18 (1.28-13.61) | 0.017* | |
| 4th year | 9.04 (2.44-36.26) | 0.001* | |
| 5th year | 0.28 (0.03-2.34) | 0.239 | |
| 6th year | 3.48 (0.89-13.53) | 0.071 | |
| Intern | 1.28 (0.35-4.71) | 0.7038 | |
| Region | Central region | Reference | |
| Northern region | 1.09 (0.35-3.35) | 0.879 | |
| Southern region | 0.42 (0.13-1.46) | 0.176 | |
| Eastern region | 0.15 (0.04-0.48) | 0.001* | |
| Western region | 0.34 (0.11-1.05) | 0.063 | |