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Table 3 Correlation between subjects factors and first six PCs

From: Three-dimensional quantitative analysis of healthy foot shape: a proof of concept study

 

Sex ρ (p)

Age ρ (p)

Shoe size ρ (p)

Frequency of sport activity ρ (p)

BMI ρ (p)

Foot asymmetry ρ (p)

Foot loading ρ (p)

PC1

0.72*(0.001)

-0.019 (0.761)

0.60*(< 0.001)

0.19*(0.002)

0.0574 (0.368)

-0.0253 (0.691)

-0.26*(< 0.001)

PC2

-0.33*(< 0.001)

0.2246*(< 0.001)

-0.23*(0.002)

-0.0452 (0.478)

0.16*(0.011)

0.045 (0.480)

0.14*(0.024)

PC3

0.0113 (0.860)

-0.122 (0.054)

0.17*(0.008)

0.24*(< 0.001)

-0.53*(< 0.001)

0.0871 (0.171)

0.06578 (0.302)

PC4

-0.067 (0.291)

-0.1164 (0.067)

0.00789 (0.901)

0.0174 (0.785)

-0.13*(0.033)

0.08831 (0.166)

0.26*(< 0.001)

PC5

0.01847 (0.772)

-0.0192 (0.764)

-0.0363 (0.570)

-0.0887 (0.164)

0.17*(0.007)

0.14*(0.025)

0.06364 (0.318)

PC6

0.0018 (0.978)

-0.0068 (0.915)

-0.06156 (0.334)

-0.23*(< 0.001)

0.01258 (0.844)

-0.24*(< 0.001)

0.05232 (0.412)

  1. *Significant at the 0.05 probability level