Table 2.

Liner regression analysis models for refractive error

	Univariate				Multivariate
	R	β	95% CI	p value	β	95% CI	p value
Actively dental caries numbers	0.06	− 0.13	− 0.27, 0.01	0.07	− 0.17	− 0.31, − 0.03	0.02
Missing teeth numbers	0.03	0.06	− 0.06, 0.18	0.33	0.11	− 0.02, 0.24	0.09
Filled teeth numbers	0.03	− 0.02	− 0.07, 0.03	0.42
Probing pocket depth	0.01	0.03	− 0.36, 0.43	0.86
Age	0.05	− 0.03	− 0.06, 0.01	0.12	− 0.04	− 0.08, − 0.01	0.01
Body mass index	0.07	0.05	0.01, 0.10	0.03	0.06	− 0.01, 0.12	0.06
Systolic blood pressure	0.04	− 0.01	− 0.02, 0.01	0.27	− 0.02	− 0.03, − 0.00	0.02
Blood leucocyte counts	0.05	0.08	− 0.03, 0.19	0.16	0.06	− 0.05, 0.18	0.27
Serum triglycerides	0.03	0.01	− 0.01, 0.00	0.33
High density lipoprotein	0.08	− 0.02	− 0.03, 0.00	0.06
Serum uric acid	0.09	0.18	0.05, 0.31	0.01	0.18	0.04, 0.32	0.01

Multivariable linear regression model was constructed by backward stepwise selection method