| FJS-12 | | | | WOMAC-Total | | | |
---|
Predictors
|
Adjusted R
2
|
Change adjusted R
2
|
F
|
p
|
Adjusted R
2
|
Change adjusted R
2
|
F
|
p
|
Gender | 0.018 | 0.018 | 4.75 | 0.030 | 0.019 | 0.019 | 4.84 | 0.029 |
+ Education | 0.036 | 0.018 | 2.88 | 0.024 | 0.043 | 0.024 | 2.18 | 0.014 |
+ Location | 0.063 | 0.027 | 3.67 | 0.003 | 0.093 | 0.050 | 3.24 | <0.001 |
+ BSI-GSI | 0.237 | 0.174 | 11.34 | <0.001 | 0.353 | 0.260 | 8.71 | <0.001 |
+ Catastrophising | 0.363 | 0.126 | 17.29 | <0.001 | 0.636 | 0.283 | 13.00 | <0.001 |
+ BSI-Somatisation | 0.379 | 0.016 | 16.27 | <0.001 | 0.683 | 0.047 | 12.20 | <0.001 |
- Equations for the final regression models (unstandardised):
- WOMAC Total = −5.176 + 0.986*sex - 1.614*education_d1 - 3.503*education_d2 -3.939*education_d3 + 2.058*location + 0.311*BSI-GSI + 7.984*Catastrophising + 13.292*BSI-Somatisation.
- FJS-12 = 84.521 - 2.258*sex + 0.540*education_d1 + 3.125*education_d2 + 13.073*education_d3 - 4.178*location - 7.105*BSI-GSI - 8.675*Catastrophising - 13.102*BSI-Somatisation.
- Coding of predictors:
- Sex: Male = 0, Female = 1.
- Education (dummy-coded):
- Apprenticeship: d1 = 1.
- A-level/professional school: d2 = 1.
- University: d3 = 1.
- Else: d1. d2. d3 = 0.
- Location: 1 = THA, 2 = TKA.