Table 2.

The effect of individual components of MetS on the LTL depending on the presence or absence of MetS.

Independent variables	Regression coefficients, b ± m	Significance level, p	OR (95% CI)	AUC (95% CI)
ONE-FACTOR MODEL
MetS	1.08 ± 0.42	0.01	3.0 (1.3–6.7)	0.62 (0.53–0.71)
TWO-FACTOR MODEL, MetS + FPG
MetS	0.93 ± 0.45	0.04	2.5 (1.1–6.1)	0.68 (0.59–0.77)
FPG	0.19 ± 0.20	0.33	1.2 (0.8–1.8)
TWO-FACTOR MODEL, MetS + WAIST CIRCUMFERENCE
MetS	0.95 ± 0.50	0.054	2.6 (1.0–6.8)	0.63 (0.54–0.72)
Waist Circumference	0.005 ± 0.016	0.78	1.00 (0.97–1.04)
TWO-FACTOR MODEL, MetS + HDL CHOLESTEROL
MetS	1.07 ± 0.45	0.02	2.9 (1.2–7.1)	0.63 (0.53–0.71)
HDL cholesterol	−0.02 ± 0.68	0.98	1.0 (0.3–3.7)
TWO-FACTOR MODEL, MetS + TRIGLYCERIDES
MetS	1.01 ± 0.43	0.02	2.7 (1.2–6.4)	0.62 (0.52–0.71)
Triglycerides	0.26 ± 0.33	0.42	1.3 (0.7–2.5)
TWO-FACTOR MODEL, MetS + HIGH BP
MetS	1.06 ± 0.45	0.02	2.9 (1.2–6.9)	0.62 (0.53–0.71)
High BP	−0.08 ± 0.43	0.86	0.9 (0.4–2.2)

The significant values (p < 0.05) are marked with bold.