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Table 4 The relation between serum RNase-L and the diagnosis of MetS in multivariate linear regression analyses

From: Human serum RNase-L level is inversely associated with metabolic syndrome and age

Variables

Model 1 β (SE)

P value

Model 2

Model 3

Model 4

Model 5

Model 6

Model 7

Model 8

Model 9

Age (year)

−0.119 (0.040)

−0.116 (0.040)

−0.100(0.041)

−0.125 (0.040)

−0.095 (0.041)

−0.126 (0.041)

−0.114 (0.040)

−0.103 (0.040)

−0.077 (0.041)

0.019

0.021

0.053

0.013

0.065

0.013

0.023

0.039

0.060

Gender (% male)

−0.039 (0.785)

−0.062 (0.790)

−0.019 (0.801)

−0.039 (0.783)

−0.026 (0.787)

−0.017 (0.815)

−0.021 (0.795)

−0.017 (0.782)

−0.049 (0.795)

0.442

0.221

0.710

0.437

0.603

0.744

0.686

0.740

0.334

Central obesity

 

−0.138 (0.768)

      

−0.125 (0.773)

 

0.006

      

0.014

Elevated blood pressure

  

−0.095 (0.833)

      
  

0.070

      

Low HDL-C

   

−0.089 (0.829)

     
   

0.077

     

Impaired fasting glucose

    

−0.113 (0.897)

   

−0.095 (0.900)

    

0.029

   

0.066

Hypertriglyceridemia

     

−0.079 (0.927)

   
     

0.132

   

Diagnosis of MetS

      

−0.102 (0.877)

  
      

0.045

  

MetS component count

       

−0.169 (0.277)

 
       

<0.001

 
  1. The β (SE) and the P value for each factor in the models are shown, and the P values shown in italics text are significant (P < 0.05)
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Cardiovascular Diabetology

ISSN: 1475-2840