Associations between Components of Metabolic Syndrome and Demographic, Nutritional, and Lifestyle Factors
Table 5
Logistic regression for the prediction of associations among the independent variables and components of metabolic syndrome.
Components
Estimate
SE
Z
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.
