Table 4 Multinomial logistic regression model used to predict high myopia at third visit given Z-score from first visit.
β | Standard error | Chi-square(df = 1) | OR (95% CI) | p-value | ||
---|---|---|---|---|---|---|
Hyperopia | Intercept | − 1.30 | 1.02 | 1.63 | – | 0.20 |
Z-scores | − 3.12 | 0.77 | 16.46 | 0.044 (0.01–0.20) | < 0.001 | |
Emmetropia | Intercept | 0.50 | 0.65 | 0.59 | – | 0.44 |
Z-scores | − 1.94 | 0.63 | 9.52 | 0.144 (0.04–0.49) | 0.002 | |
Myopia | Intercept | 3.73 | 0.53 | 50.10 | – | < 0.001 |
Z-scores | − 1.22 | 0.47 | 6.70 | 0.297 (0.12–0.74) | 0.01 |