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Table 4 Multiple linear stepwise regression analysis of the association between ΔHKA angle and selected variables

From: Factor affecting the discrepancy in the coronal alignment of the lower limb between the standing and supine radiographs

Variables

VIF

Beta

95% CI

P value

Model 1a

 Constant

 

−1.007

−1.979 to −0.036

0.042

 Body mass index

1.012

0.077

0.04 to 0.113

<  0.001

 Hip-knee-ankle angle (supine radiograph)

–

–

–

–

 Joint line convergence angle (supine radiograph)

–

–

–

–

 Kellgren-Lawrence grade (supine radiograph)

    

  1

–

–

–

–

  2

–

–

–

–

  3

1.02

0.894

0.464 to 1.323

<  0.001

  4

1.03

1.043

0.491 to 1.595

<  0.001

Model 2b

 Constant

 

−1.007

−1.979 to −0.035

0.042

 Body mass index

1.022

0.076

0.04 to 0.112

<  0.001

 Hip-knee-ankle angle (supine radiograph)

–

–

–

–

 Joint line convergence angle (supine radiograph)

–

–

–

–

 Kellgren-Lawrence grade (supine radiograph)

    

  1

–

–

–

–

  2

–

–

–

–

  3

1.028

0.718

0.243 to 1.193

0.003

  4

1.046

1.071

0.639 to 1.504

<  0.001

  1. VIF Variance inflation factor, CI Confidence interval
  2. a Regression model based on the osteoarthritis grade measured by observer 1 (adjusted R2 = 0.241)
  3. b Regression model based on the osteoarthritis grade measured by observer 2 (adjusted R2 = 0.25)