Table 4.
Regression coefficient (95% CI) |
p value | Δ-AIC | |
Pain Catastrophizing Scale | -0.34 (-0.68 to 0.00) | 0.053 | 1.7 |
Employment status | |||
Unemployed, student, or retired | Reference value | ||
Employed | 3.08 (0.23 to 5.94) | 0.03 | 2.4 |
Assistive devices | |||
Crutches | Reference value | 12.5 | |
Knee scooter | 1.44 (-4.24 to 7.11) | 0.62 | |
Walker | -2.64 (-6.75 to 1.46) | 0.21 | |
Other | 1.82 (-2.41 to 6.05) | 0.40 | |
None | 7.52 (3.66 to 11.38) | < 0.001 | |
Weightbearing status | 6.5 | ||
Full weightbearing | Reference value | ||
Nonweightbearing | -6.30 (-10.03 to -2.58) | 0.001 | |
Partial weightbearing | -2.64 (-6.31 to 1.03) | 0.16 |
SHAI and PROMIS Depression have been dropped because of multicollinearity with PCS. Week to injury and insurance status have been dropped due to multicollinearity with weightbearing status and employment status, respectively. Δ AIC = Akaike Information Criterion; AIC of the full model was compared to the model without each variable. Higher values indicate better fit.