Table 2.
Association between knowledge and demographic variables (n = 316)
| Knowledge Level | Chi-Square | p value | |||
|---|---|---|---|---|---|
| Poor | Good | ||||
| Gender | Male | 8.3% | 91.7% | 4.534 | 0.033* |
| Female | 2.9% | 97.1% | |||
| Age | 18–20 | 5.0% | 95.0% | .468 | 0.791 |
| 21–23 | 5.1% | 94.9% | |||
| 24–27 | 7.7% | 92.3% | |||
| Area of living | Urban | 6.1% | 93.9% | 1.461 | 0.227 |
| Rural | 1.9% | 98.1% | |||
| What is your specialty? | Medicine | 9.4% | 90.6% | 10.334 | 0.001** |
| Pharmacy | 1.3% | 98.7% | |||
| Education level | First year | 8.3% | 91.7% | 7.069 | 0.070 |
| Second year | 1.9% | 98.1% | |||
| Third year | 1.2% | 98.8% | |||
| Fourth year | 8.3% | 91.7% | |||
| Do you have health insurance? | Yes | 9.1% | 90.9% | 1.383 | 0.240 |
| No | 4.8% | 95.2% | |||
| Do you have any medical illness? | Yes | 2.7% | 97.3% | .590 | 0.442 |
| No | 5.7% | 94.3% | |||
*significant at p < .05