Table 2.

Predictors of Reading Disability, Weighted Least Squares Regression Model

Variable	Interval	Δ Person Measure Score in Logits* (95% CI)	P Value
Visual†
Glaucoma	vs. no glaucoma	−1.60 (−2.54, −0.66)	<0.001
VF loss MD, better eye	5 dB worse	−0.68 (−1.03, −0.33)	<0.001
Binocular log CS	0.1 log units worse	−0.48 (−0.76, −0.20)	<0.001
VA, binocular	0.1 logMAR worse	−0.17 (−0.59, 0.24)	0.41
Nonvisual‡
Age	5 y older	0.10 (−0.11, 0.30)	0.36
Male	vs. female	−0.83 (−1.68, 0.03)	0.06
African-American	vs. not African-American	1.34 (0.39, 2.29)	<0.01
Education	4 y less	−0.89 (−1.53, −0.26)	<0.01
MMSE score	5 points lower	1.22 (−0.19, 2.64)	0.09
Depressive symptoms	vs. no depressive symptoms	−8.29 (−10.07, −6.51)	<0.001

^* Person measure scores are derived from the Rasch analytic model. Higher scores indicate greater ability. Therefore, factors associated with a negative change in score are associated with greater reading disability.

^† The impact of visual metrics are from separate models in which only 1 visual metric was included along with all nonvisual metrics shown.

^‡ The impact of the metric is taken from a single model including 5 dB worse MD and all nonvisual metrics shown.