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. 2017 Apr 11;16:46. doi: 10.1186/s12933-017-0522-x

Table 2.

The relation between serum RNase-L and metabolic factors in multivariate linear regression analyses

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

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)