Table 3. Factors affecting the NEI VFQ-25 composite score in univariate and multiple linear regression models.
| Factors | Univariate analysisa |
Multiple linear regressionb |
|
|---|---|---|---|
| P-value | β | P-value | |
| Age | 0.621c | 0.16 | 0.034 |
| Gender | 0.033d | 0.08 | 0.247 |
| General health | <0.001c | 0.20 | 0.004 |
| Binocular LogMAR VA | 0.004c | −0.20 | 0.006 |
| Integrated visual field (MD) | 0.003c | 0.22 | 0.002 |
| Number of glaucoma medications | 0.001c | 0.02 | 0.868 |
| Glaucoma medication dosing frequency, (times/day) | 0.001c | -0.24 | 0.09 |
| Education | 0.008e | ||
| Education difference (low–middle) | 0.15 | 0.141 | |
| Education difference (low–high) | 0.23 | 0.041 | |
| Previous ocular surgery | 0.311c | ||
| Previous glaucoma surgery | 0.790c | — | |
| Income | 0.998e | — | |
| Adjusted R2 | 0.237 | ||
Abbreviations: NEI VFQ-25, 25-item National Eye Institute Visual Functioning Questionnaire; VA, visual acuity; MD, mean deviation.
Factors reaching statistical significance of P<0.05 are shown in bold.
c
Univariate analysis was performed using Kruskal–Wallis test,e Mann–Whitney U-testd or Spearman’s rank correlation.c
Factors that reached a P-value of <0.2 in univariate analysis were included in the multiple regression model.
Age and gender were forced to be part of the model.