Table 3 Univariate and multivariate linear regression analyses of the association between clinicodemographic factors and improvement of LVQOL score.
From: Clinical performance of a smartphone-based low vision aid
Univariate | Multivariate | |||||
|---|---|---|---|---|---|---|
Ba | B* | p value | Ba | B† | p value | |
Age, years | − 0.566 | − 0.478 | 0.001 | − 0.558 | − 0.472 | 0.002 |
Sex | − 1.095 | − 0.031 | 0.862 | |||
Previous use of LVAs | 7.137 | 0.202 | 0.041 | 10.925 | 0.309 | 0.049 |
Baseline BCDVA, logMAR | − 14.106 | − 0.191 | 0.279 | |||
Baseline BCIVA, logMAR | − 10.314 | − 0.198 | 0.262 | |||
Baseline BCNVA, logMAR | − 14.783 | − 0.324 | 0.006 | − 17.825 | − 0.390 | 0.011 |
BCDVA with smartphone-based LVA, logMAR | − 0.117 | − 0.783 | 0.440 | |||
BCIVA with smartphone-based LVA, logMAR | 0.105 | 0.698 | 0.491 | |||
BCNVA with smartphone-based LVA, logMAR | − 0.040 | − 0.245 | 0.808 | |||
Baseline face recognition performance, score | 0.489 | 0.375 | 0.029 | 0.089 | 0.093 | 0.619 |
Number of smartphone-based LVA use per day | 0.798 | 0.038 | 0.829 | |||
Average time-of-use per use, minutes | − 0.022 | − 0.031 | 0.860 | |||
Average total time-of-use per day, minutes | 0.034 | 0.084 | 0.686 | |||