Table 3. The association of residual refractive errors with age, sex, and AL using simple and multiple logistic regression models.
Variable | Simple |
Multiple |
||
OR (95%CI) | P | OR (95%CI) | P | |
Predictability ±0.25 D | ||||
Age (y) | 0.98 (0.97-1.00) | 0.010 | 0.98 (0.97-0.99) | 0.007 |
Sex (male/female) | 1.20 (0.97-1.47) | 0.090 | NS | |
DM (yes/no) | 1.12 (0.91-1.38) | 0.293 | NS | |
AL (22-24.5 mm) | 1 | 1 | ||
AL (<22 mm) | 0.70 (0.50-0.98) | 0.037 | 0.69 (0.49-0.97) | 0.032 |
AL (>24.5 mm) | 0.66 (0.46-0.95) | 0.024 | 0.63 (0.44-0.91) | 0.014 |
Predictability ±0.50 D | ||||
Age (y) | 0.98 (0.97-0.99) | 0.005 | 0.98 (0.97-0.99) | 0.004 |
Sex (male/female) | 1.06 (0.87-1.29) | 0.550 | NS | |
DM (yes/no) | 1.31 (1.07-1.60) | 0.008 | NS | |
AL (22-24.5 mm) | 1 | 1 | ||
AL (<22 mm) | 0.88 (0.65-1.19) | 0.409 | 0.87 (0.64-1.18) | 0.373 |
AL (>24.5 mm) | 0.59 (0.43-0.82) | 0.002 | 0.57 (0.41-0.79) | <0.001 |
Predictability ±0.75 D | ||||
Age (y) | 0.97 (0.96-0.99) | <0.001 | 0.97 (0.96-0.99) | <0.001 |
Sex (male/female) | 1.01 (0.82-1.25) | 0.902 | NS | |
DM (yes/no) | 1.18 (0.95-1.47) | 0.128 | NS | |
AL (22-24.5 mm) | 1 | 1 | ||
AL (<22 mm) | 1.03 (0.74-1.44) | 0.870 | 1.01 (0.72-1.42) | 0.935 |
AL (>24.5 mm) | 0.48 (0.35-0.66) | <0.001 | 0.45 (0.32-0.63) | <0.001 |
Age (y) | 0.96 (0.94-0.98) | <0.001 | 0.96 (0.94-0.97) | <0.001 |
Predictability ±1.00 D | ||||
Sex (male/female) | 1.05 (0.83-1.34) | 0.680 | NS | |
DM (yes/no) | 1.20 (0.93-1.54) | 0.153 | NS | |
AL (22-24.5 mm) | 1 | 1 | ||
AL (<22 mm) | 0.83 (0.57-1.21) | 0.341 | 0.81 (0.56-1.19) | 0.285 |
AL (>24.5 mm) | 0.45 (0.31-0.63) | <0.001 | 0.41 (0.28-0.58) | <0.001 |
NS: Not significant; DM: Diabetic mellitus; AL: Axial length; OR: Odds ratio.