Table 3.

The risk of having shorter TLs depending on the presence or absence of MetS: the influence of factors that are not included in the definition 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 + AGE
MetS	1.18 ± 0.44	0.007	3.3 (1.4–7.7)	0.66 (0.56–0.74)
Age	0.036 ± 0.021	0.09	1.04 (0.99–1.08)
TWO-FACTOR MODEL, MetS + ALCOHOL INTAKE
MetS	0.87 ± 0.44	0.049	2.4 (1.0–5.6)	0.60 (0.51–0.70)
Alcohol using	−0.15 ± 0.42	0.73	0.9 (0.4–3.9)
TWO-FACTOR MODEL, MetS + GENDER
MetS	0.95 ± 0.44	0.03	2.6 (1.1–6.1)	0.64 (0.55–0.73)
Gender	−0.51 ± 0.45	0.26	0.6 (0.2–1.5)
TWO-FACTOR MODEL, MetS + 2hPG
MetS	1.04 ± 0.43	0.02	2.8 (1.2–6.6)	0.68 (0.59–0.77)
2hPG	0.23 ± 0.11	0.04	1.3 (1.0–1.6)
FOUR-FACTOR MODEL, MetS + AGE + GENDER + 2hPG
MetS	1.01 ± 0.46	0.03	2.7 (1.1–6.8)	0.69 (0.60–0.77)
Age	0.027 ± 0.022	0.22	1.03 (0.98–1.07)
Gender	−0.47 ± 0.47	0.31	0.6 (0.3–1.6)
2hPG	0.20 ± 0.11	0.06	1.2 (1.0–1.5)

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