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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