Table 3 Correlation matrix between 11 markers in males
From: Application of biological age assessment of Chinese population in potential anti-ageing technology
ALT | TP | ALB | IGM | UERA | CERA | β2M | GLU | CYCS | HCY | CHE | |
|---|---|---|---|---|---|---|---|---|---|---|---|
ALT | 1 | 0.257 <0.001 | 0.550 <0.001 | 0.055 0.185 | -0.019 0.649 | 0.009 0.835 | -0.050 0.224 | 0.043 0.296 | -0.060 0.152 | -0.064 0.124 | 0.146 <0.001 |
TP | 1 | 0.595 <0.001 | 0.339 <0.001 | 0.008 0.839 | 0.081 0.051 | -0.085 0.040 | -0.086 0.038 | 0.091 0.029 | -0.077 0.062 | 0.272 <0.001 | |
ALB | 1 | 0.070 0.089 | -0.134 0.001 | 0.061 0.143 | -0.234 <0.001 | -0.149 <0.001 | -0.105 0.012 | -0.085 0.040 | 0.364 <0.001 | ||
IGM | 1 | 0.031 0.452 | 0.004 0.982 | -0.009 0.821 | -0.055 0.181 | 0.002 0.961 | 0.034 0.419 | -0.019 0.645 | |||
UERA | 1 | 0.481 <0.001 | 0.188 <0.001 | 0.020 0.632 | 0.115 0.005 | 0.016 0.691 | 0.043 0.296 | ||||
CERA | 1 | 0.175 <0.001 | 0.017 0.686 | 0.089 0.033 | 0.147 <0.001 | 0.164 <0.001 | |||||
β2M | 1 | 0.021 0.614 | 0.221 <0.001 | 0.140 0.034 | -0.196 <0.001 | ||||||
GLU | 1 | 0.017 0.682 | 0.052 0.206 | 0.045 0.278 | |||||||
CYCS | 1 | -0.027 0.523 | -0.109 0.008 | ||||||||
HCY | 1 | -0.137 0.001 | |||||||||
CHE | 1 |