Table 5.

Logistic regression for the prediction of associations among the independent variables and components of metabolic syndrome.

Components	Estimate	SE	Z	p	OR	95% CI
Waist circumference
Intercept	−20.66	4.409	−4.686	<0.001
Sexa	4.749	0.976	4.865	<0.001	1.155	2.177; 1.087
BMI	0.717	0.154	4.662	<0.001	2.048	1.583; 2.929
HDL-c
Intercept	2.539		2.812	0.005	0.903
Sex	0.933	0.374	2.495	0.013	2.543	1.208; 5.276
Potassium intake	−0.001	0.001	−2.053	0.04	0.999	0.998; 0.999
Triglycerides
Intercept	2.903	0.894	3.247	0.001
BMI	−0.053	0.021	−2.543	0.011	0.947	0.908; 0.987
Irregularly active Ab	−0.117	0.587	−0.199	0.842	0.89	0.267; 2.746
Irregularly active Bb	−0.011	0.624	−0.017	0.986	0.989	0.279; 3.330
Active/very activeb	−1.158	0.523	−2.216	0.026	0.314	0.104; 0.834
Blood glucose
Intercept	−1.986	0.663	−2.993	0.003
Age	0.061	0.013	4.48	<0.001	1.063	1.036; 1.09
Blood pressure
Intercept	0.427	1.056	0.444	0.686
Age	0.049	0.013	3.937	<0.001	1.05	1.024; 1.079
Sleep hours	−0.258	0.111	−2.078	0.02	0.772	0.617; 0.956

SE, standard error; OR, odds ratio; CI, confidence interval; BMI, body mass index; irregularly active category A, meeting at least one of the recommendation criteria (frequency of 5 days/week or duration of 150 min/week); irregularly active category B did not meet any of the recommendation criteria in terms of frequency or duration. ^aMale sex was used as baseline; ^bSedentary lifestyle was used as baseline.