Skip to main content

Table 2 The relation between serum RNase-L and metabolic factors 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

Model 10

Model 11

Age (year)

−0.123 (0.041)

−0.118 (0.040)

−0.114 (0.040)

−0.111 (0.041)

−0.114 (0.040)

−0.111 (0.040)

−0.133 (0.040)

−0.116 (0.040)

−0.106 (0.040)

−0.130 (0.041)

−0.122 (0.040)

0.015

0.019

0.024

0.029

0.023

0.028

0.008

0.021

0.034

0.010

0.015

Gender (% male)

−0.018 (0.825)

−0.002 (0.831)

−0.083 (0.842)

−0.016 (0.821)

0.014 (0.821)

0.005 (0.825)

0.031 (0.863)

−0.015 (0.792)

−0.016 (0.783)

−0.014 (0.8088)

0.021 (1.298)

0.731

0.976

0.125

0.761

0.786

0.930

0.570

0.774

0.743

0.792

0.802

BMI (kg/m2)

−0.072 (0.107)

          

0.169

          

Waist (cm)

 

−0.110 (0.042)

        

0.072 (0.077)

 

0.039

        

0.432

Percentage of body fat (%)

  

−0.117 (0.078)

        
  

0.029

        

Systolic blood pressure (mmHg)

   

−0.077 (0.026)

       
   

0.148

       

Diastolic blood pressure (mmHg)

    

−0.162 (0.036)

     

−0.129 (0.040)

    

0.002

     

0.024

Mean arterial pressure (mmHg)

     

−0.133 (0.034)

     
     

0.012

     

HDL−C (mg/dl)

      

0.161 (0.032)

   

0.127 (0.036)

      

0.004

   

0.036

Fasting glucose (mg/dl)

       

−0.135 (0.017)

  

−0.085 (0.018)

       

0.008

  

0.112

HbA1c (%)

        

−0.165 (0.496)

  
        

0.001

  

Triglyceride (mg/dl)

         

−0.101 (0.004)

 
         

0.052

 
  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)