Table 2. Linear regression analysis with components of metabolic syndrome as independent variables and log transformation of serum S14 level (logS14) as dependent variable, adjusted with age and sex.
logS14 | |||
---|---|---|---|
Independent variable | ß | 95% C.I. | p |
Diagnosis of MetS | -0.227 | -0.239, -0.088 | <0.001* |
Central obesity | -0.176 | -0.185, -0.048 | 0.001* |
Elevated blood pressure | -0.028 | -0.094, 0.056 | 0.616 |
Low HDL-C | -0.149 | -0.179, -0.032 | 0.005* |
Impaired fasting glucose | -0.035 | -0.106, 0.055 | 0.533 |
High triglyceride | -0.198 | -0.230, -0.069 | <0.001* |
*: p<0.05
ß: parameter estimate; 95% C.I.: 95% confidence interval. MetS: metabolic syndrome. HDL-C: high density lipoprotein cholesterol