Table 4.

Multivariate logistic regression model for predicting stroke in overweight population and non-overweight population.

Variables	Odds ratio	95% CI	χ2	P-value
Overweight
Age	1.01	0.94, 1.08	0.02	0.89
Gender	3.81	0.74, 19.74	2.54	0.11
Waist circumference	0.99	0.90, 1.10	0.02	0.90
HbA1c	0.59	0.28, 1.24	1.94	0.16
Homocysteine	0.82	0.69, 0.98	4.95	0.03*
CVAI	1.01	0.98, 1.04	0.24	0.62
Waist-height ratio×100	1.07	0.92, 1.25	0.77	0.38
Non-overweight
Age	1.03	0.93, 1.15	0.29	0.59
Gender	6.08	0.39, 94.62	1.66	0.20
Family history of diabetes (yes)	1.00
Family history of diabetes (no)	0.23	0.04, 1.25	2.89	0.09
Family history of diabetes (unknown)	0.38	0.03, 4.56	0.58	0.45
BMI	1.43	0.66, 3.10	0.81	0.37
Waist circumference	1.17	0.87, 1.59	1.05	0.31
Systolic blood pressure	1.04	0.99, 1.08	2.72	0.10
CVAI	1.01	0.95, 1.06	0.03	0.87
Waist-height ratio×100	0.87	0.55, 1.38	0.37	0.55

^*P < 0.05.

HbA1c, glycosylated hemoglobin; CVAI, Chinese visceral adiposity index.