Table 2.

Independent risk factors of CAD.

Covariates	B	S.E.	Wald	df	OR	95% CI for OR	P value
Female	−0.63	0.27	5.27	1	0.54	0.31, 0.91	0.022
Hyperlipidemia	0.98	0.27	13.68	1	2.67	1.58, 4.50	<0.001
DHA_G	−0.65	0.27	6.02	1	0.52	0.31, 0.88	0.014
Glucose	0.18	0.08	5.39	1	1.19	1.03, 1.38	0.020

Binary logistic regression analysis. The dependent variable was CAD (CAD-Risk as “0”, CAD as “1”). The 11 covariates were age, gender (0 = male, 1 = female), smoking habit (0 = never smoke or quit smoking more than one year, 1 = still smoking), alcohol intake (0 = no alcohol intake or quit using alcohol more than one month, 1 = still drinking), BMI, hypertension (0 = without hypertension, 1 = with hypertension), hyperlipidemia (0 = without hyperlipidemia, 1 = with hyperlipidemia), fasting blood glucose, white blood cells, EPA_G (0 = EPA ≤ median 381.00 μg/L, 1 = EPA > median 381.00 μg/L), and DHA_G (0 = DHA ≤ median 1480.69 μg/L, 1 = DHA > median 1480.69 μg/L). B, partial regression coefficient; S.E., standard error for B; df, degree of freedom; OR, odds ratio; CI, confidence interval.