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Table 4 Multiple linear regression analyses evaluating effect of change in geometrical restoration on change in gait pattern

From: Geometrical restoration during total hip arthroplasty is related to change in gait pattern - a study based on computed tomography and three-dimensional gait analysis

Model 1. Multiple linear regression analysis, change in hip rotation during walking after THA defined as the dependent variable.

n = 65

Unstandardized B

p-value

95% CI

R2 model

Change in hip anteversion

0.34

0.003

[0.12, 0.57]

0.240

Change in pelvic rotation

−0.69

0.004

[−1.15, − 0.23]

 

Change in walking speed

0.001

0.758

[−0.01, 0.01]

 

Model 2. Multiple linear regression analysis, change in max hip adduction moment (1st peak) during walking after THA defined as the dependent variable.

n = 65

Unstandardized B

p-value

95% CI

R2 model

Change in FO/AO (quota)

4.02

0.985

[− 416, 424]

0.435

Change in trunk obliquity

17.39

0.001

[7.01, 27.78]

 

Change in pelvic obliquity

17.98

< 0.001

[8.81, 27.13]

 

Change in walking speed

0.23

0.002

[0.08, 0.37]

 
  1. Statistically significant differences are highlighted in bold. The Unstandardized B represents the amount by which the dependent variable changes if an independent variable is changed by one unit keeping other independent variables constant
  2. n number, THA total hip arthroplasty, CI confidence interval, FO femoral offset, AO acetabular offset