Table 2.
Results of the logistic regression model.
| Independent Variables | B ‡ | S.E. ‡ | Wald ‡ | Sig. ‡ | Exp(B) ‡ |
|---|---|---|---|---|---|
| HBM categories (base-1st time visitor) | |||||
| Susceptibility | 0.019 | 0.079 | 0.058 | 0.809 | 1.019 |
| Severity | −0.141 | 0.083 | 2.930 | 0.087 | 0.868 |
| Benefits | 0.126 | 0.130 | 0.938 | 0.333 | 1.134 |
| Barriers | 0.052 | 0.071 | 0.539 | 0.463 | 1.054 |
| Self-efficacy | −0.034 | 0.042 | 0.653 | 0.419 | 0.966 |
| Cues to action | −0.430 | 0.231 | 3.465 | 0.063 | 0.651 |
| Motivation | 0.321 | 0.073 | 19.203 | 0.000 *** | 1.379 |
| Socio-demographic variables | |||||
| Sex (base-female) | −1.131 | 0.530 | 4.546 | 0.033 * | 0.323 |
| Age | −0.028 | 0.020 | 1.909 | 0.167 | 0.973 |
| Education (base-high school) | |||||
| college | 0.199 | 0.563 | 0.125 | 0.724 | 1.220 |
| postgraduate | 1.061 | 0.772 | 1.887 | 0.170 | 2.888 |
| Knowledge | 0.342 | 0.200 | 2.929 | 0.087 | 1.407 |
| Family income (base- ≤ 60000 NTD) | |||||
| 60001–90000 | −0.148 | 0.624 | 0.056 | 0.813 | 0.863 |
| >90000 | −0.300 | 0.615 | 0.238 | 0.626 | 0.741 |
| Myopia status (base-no myopia) | |||||
| ≤3.0 D | −1.688 | 0.802 | 4.432 | 0.035 * | 0.185 |
| >3.0 D, ≤6.0 D | −1.303 | 0.790 | 2.721 | 0.099 | 0.272 |
| >6.0 D | −1.510 | 0.795 | 3.609 | 0.057 | 0.221 |
Notes: B ‡: Unstandardized coefficient; S.E. ‡: Stander error; Wald ‡: Wald chi-square statistic. Statistical significance of individual predictors in logistic regression model is tested using the Wald chi-square statistic. Sig. ‡: significance. P-value that smaller than 0.05 is significant. Exp(B) ‡: log value of unstandardized coefficient. Odds ratio = Exp(B). *: p < 0.05, **: p < 0.01, ***: p < 0.001.