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. 2019 Feb 14;14(2):e0212341. doi: 10.1371/journal.pone.0212341

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