Table 3 Multivariable linear regression analysis was used to identify the independent effect of sex on change in the components of the WOMAC and SF-12 scores 1 year after TKA. All variables (in Table 1) were all entered into the model at the one stage using “enter” methodology
Functional measure | B | 95% Confidence intervals | P-value | ||
|---|---|---|---|---|---|
WOMAC | |||||
Pain (R2 = 0.29) | |||||
Sex | Male | Reference | |||
Female | 0.9 | −0.7 | 2.5 | 0.27 | |
Function (R2 = 0.26) | |||||
Sex | Male | Reference | |||
Female | 1.5 | 0.2 | 2.9 | 0.03 | |
Stiffness (R2 = 0.36) | |||||
Sex | Male | Reference | |||
Female | 1.2 | −0.3 | 2.8 | 0.12 | |
Total (R2 = 0.27) | |||||
Sex | Male | Reference | |||
Female | 1.5 | 0.2 | 2.8 | 0.03 | |
SF-12 | |||||
PCS (R2 = 0.19) | |||||
Sex | Male | Reference | |||
Female | −0.4 | −1.1 | 0.3 | 0.21 | |
MCS (R2 = 0.30) | |||||
Sex | Male | Reference | |||
Female | −0.2 | −0.9 | 0.6 | 0.70 | |