Table 2.

Binary logistic regression model for identifying the independent effect of cTAS level on CAD in all participants as well as in male and female participants

	All participants		Male		Female
Predictors	OR (95% CI)	P	OR (95% CI)	P	OR (95% CI)	P
cTAS, per 0.1 mmol/L increase	1.2 (0.8–1.8)	0.375	1.3 (0.7–2.1)	0.395	1.2 (0.7–2.2)	0.548
Age, years	1.1 (1.0–1.1)	<0.001	1.1 (1.0–1.1)	0.001	1.1 (0.9–1.1)	0.248
Male sex	2.5 (1.1–6.5)	0.030	–	–	–	–
Hypertension	1.2 (0.6–2.4)	0.609	1.3 (0.5–3.0)	0.599	1.6 (0.5–5.0)	0.438
Hyperlipidemia	2.1 (1.1–3.9)	0.025	3.1 (1.4–6.9)	0.004	1.0 (0.3–3.2)	0.935
Cigarette use		0.699		0.727		0.738
Non-smoker	1*	–	1*	–	1*	–
Ex-smoker	1.1 (0.4–3.2)	0.887	1.1 (0.3–3.5)	0.907	1.7 (0.9–30.8)	0.738
Current smoker	1.4 (0.6–3.3)	0.402	1.4 (0.6–3.5)	0.434	–	–
FH of CAD	2.1 (0.7–5.7)	0.172	3.6 (0.7–18.6)	0.120	1.3 (0.3–6.2)	0.752
Diabetes	5.2 (1.6–16.8)	0.006	2.1 (0.5–8.4)	0.280	20.4 (2.1–198.3)	0.009
eGFR	1.0 (0.9–1.0)	0.397	1.0 (0.9–1.0)	0.833	1.0 (0.9–1.0)	0.292

^*Reference group

CAD - coronary artery disease; CI - confidence interval; cTAS - calculated total antioxidant status; eGFR - estimated glomerular filtration rate; FBS - fasting blood glucose; FH - family history; OR - odds ratio