Table 3.
Multivariate logistic regression analyses between independent predictors and different outcomes of interest.
Model 1 | Model 2 | Model 3 | |||||||
---|---|---|---|---|---|---|---|---|---|
Log likelihood = −102.59, χ2 = 58.83, p < 0.0001 |
Log likelihood = −80.53, χ2 = 19.40, p = 0.0002 |
Log likelihood = −105.45, χ2 = 58.81, p < 0.0001 |
|||||||
OR | 95% CI | P-value | OR | 95% CI | P-value | OR | 95% CI | P-value | |
Age | 1.45 | 1.13–1.86 | 0.003 | 1.37 | 1.06–1.78 | 0.018 | |||
Know that “HPV is sexually transmitted” | 2.68 | 1.18–6.08 | 0.018 | ||||||
Know that “your university provides a discount on HPV vaccination for female students” | 3.79 | 1.76–8.17 | 0.001 | ||||||
Agree that “I may be infected by HPV in the future” | 3.2 | 1.60–6.42 | 0.001 | 2.58 | 1.15–5.81 | 0.022 | |||
Agree that “I am afraid of the side effects of HPV vaccination” | 0.19 | 0.09–0.38 | <0.005 | ||||||
Received HPV vaccination | 5.14 | 2.50–10.55 | <0.0005 | 2.86 | 1.20–6.80 | 0.017 |