Relationship of ideal cardiovascular health metrics with retinal vessel calibers and retinal nerve fiber layer thickness: a cross-sectional study

Table 5 β Coefficients (and 95%confidence intervals) from linear models for the relationship between arterio-venous ratio and the number of ideal cardiovascular health metrics

	VIF	β	95% CI of β	p value	p interaction
Total		0.654	0.620–0.687	< 0.0001
Number of ideal CVH metrics	1.220	0.005	0.002–0.009	0.0006
sex = male (n)	1.249	−0.020	−0.029- -0.012	< 0.0001
age (year)	1.100	< 0.001	−0.0003-0.0005	0.71
education (n)	1.096
High school or college		–	–	–
Middle school		0.004	−0.006- 0.013	0.42
Illiteracy/Primary		0.002	−0.010- 0.014	0.79
average monthly income of every family member (¥)	1.051
> 3000		–	–	–
¥1000-3000		0.005	−0.005- 0.015	0.34
< ¥1000		0.001	−0.010- 0.013	0.84
family history of stroke (n)	1.005	0.001	−0.021- 0.022	0.94
Age (year)					0.12
< 60y^a
Number of ideal CVH metrics	1.275	0.007	0.004–0.011	< 0.0001
≥ 60y^a
Number of ideal CVH metrics	1.146	< 0.001	−0.007- 0.007	0.98
Sex (n)					0.65
Men^b
Number of ideal CVH metrics	1.062	0.005	0.0002–0.0092	0.04
Women^b
Number of ideal CVH metrics	1.018	0.007	0.003–0.011	0.0015

CI confidence interval
VIF Variance Inflation Factor
All the coefficients without footnotes in total part are adjusted by other variates in total part when presented
^aAdjusted for: sex = male (n), education (n), average monthly income of every family member (¥) and family history of stroke (n)
^bAdjusted for: age(year),education (n), average monthly income of every family member (¥) and family history of stroke (n)

ISSN: 1471-2261