Table 3. Logistic regression analyses of cerebrovascular disease.

		PROG	FT	FE2	E2/SHBG	T/E2	LH	Age	MetS	C-peptide
model 1
	sig	0.05	0.05
	exp(B)	1	75.71
	95%C.I.	0.99–1.02	1.10–>1000
model 2
	sig	0.06	0.09					0.05
	exp(B)	1.0	45.16					1.058
	95%C.I.	0.99–1.00	0.58–3494					1.01–1.12
model 3
	sig	0.05	0.02	0.04	0.58		0.11	0.43	0.022
	exp(B)	1	>1000	0.00	166.65		1.07	1.03	4.24
	95%C.I.	0.99 –1.00	4.17–>1000	0.00–0.69	0.84–>1000		0.99–1.15	0.97–1.11	1.23–14.67
model 4
	sig	0.07	0.41	0.106		0.05	0.03			0.03
	exp(B)	1	>1000	0.21		>1000	1.10			4.09
	95%C.I.	0.99 –1.00	<0.01–>1000	0.16–1.52		0.95–>1000	1.00–1.28			1.14–14.68

Model 1: all sex hormones were included in the regression equation.

Model 2: all sex hormones and age were included in the regression equation.

Model 3: all sex hormones, age, all metabolic categorical variables and hepatic/renal function were included in the regression equation.

Model 4: all sex hormones, age, all metabolic continuous variables and hepatic/renal function were included in the regression equation.