Table 6.

Interrelationship between exposure coefficient of mixture and its urinary metabolites with the components of metabolic syndrome using multiple logistic regression analysis (backward)

Independent variables	Dependent variables (n = 315)
	WC Odds (β value)	Blood pressure Odds (β value)	HDL-cholesterol Odds (β value)	Triglyceride Odds (β value)	Glucose Odds (β value)	MS Odds (β value)
Epinephrine
Control (n = 135)	0.978 (−0.023)*	1.010 (0.010)	0.983 (−0.018)	0.980 (−0.020)	1.002 (0.002)	0.987 (−0.013)
Exposed (n = 180)	0.998 (−0.002)	1.013 (0.013)*	1.002 (0.002)	1.005 (0.005)	1.005 (0.005)	1.009 (0.009)
Norepinephrine
Control (n = 135)	1.002 (0.002)*	1.002 (0.002)	1.001 (0.001)	1.002 (0.002)	1.003 (0.003)	1.002 (0.002)
Exposed (n = 180)	0.998 (−0.002)	1.001 (0.001)	0.996 (−0.004)	0.998 (−0.002)	0.998 (−0.002)	0.994 (−0.006)*
OSI
Control (n = 135)	3.656 (1.297)	1.591 (0.464)	0.767 (−0.265)	0.406 (−0.990)	0.575 (−0.554)	0.947 (−0.054)
Exposed (n = 180)	0.676 (−0.392)	1.748 (0.558)	0.098 (−2.318)*	0.145 (−1.929)*	0.145 (−1.929)**	0.294 (−1.226)

^*p < 0.05. WC, waist circumference, MS, metabolic syndrome, OSI, oxidative stress index.