The Association between Socioeconomic Factors and Visual Function among Patients with Age-Related Cataracts

Table 3

Multiple linear regression model for BCVA, VF-14, and NEI-VFQ-25.

Variables	BCVA			VF-14			NEI-VFQ-25
	Β	SE	SC	β	SE	SC	β	SE	SC
(Constant)	0.116	0.089	—	71.028	3.780	—	108.525	3.834	—
Age	−0.001	0.001	−0.017	−0.166	0.048	−0.112	−0.156	0.049	−0.088
Gender	−0.010	0.021	−0.015	−1.127	0.897	−0.038	−3.508	0.911	−0.100
BCVA	—	—	—	−5.603	1.369	−0.137	−9.201	1.398	−0.188
LOCS III NO score	0.124	0.014	0.301	0.947	0.623	0.052	0.960	0.634	0.045
LOCS III C score	0.061	0.011	0.184	-0.846	0.474	−0.058	−0.579	0.484	−0.033
LOCS III P score	0.024	0.009	0.087	1.049	0.384	0.088	2.663	0.392	0.188
Hypertension	−0.031	0.023	−0.046	2.030	0.965	0.069	2.837	0.982	0.081
Diabetes	0.024	0.026	0.030	−1.453	1.107	−0.042	−0.889	1.129	0.022
Heart disease	0.033	0.032	0.033	−1.380	1.366	−0.032	−1.684	1.386	−0.033
Cerebrovascular disease	0.027	0.054	0.016	−0.331	2.258	−0.005	−1.762	2.283	−0.021
Rank of PCDI	0.044	0.006	0.267	−3.157	0.259	−0.435	−5.135	0.264	−0.597

, , SE, standardized error; SC, standardized coefficients; NO, nuclear opalescence; C, cortical; P, posterior subcapsular; LOCS III, Lens Opacities Classification System III; VF-14, Visual Function Index-14; NEI-VFQ-25, 25-item National Eye Institute Visual Functioning Questionnaire; PCDI, per capita disposable income.