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. 2020 Jan 8;15(1):e0222370. doi: 10.1371/journal.pone.0222370

Table 4. Multiple regression models for post-surgical KOA pain intensity, and for percentage residual pain at 6-months post-surgery, for four different pain intensity measures.

Post-surgical Pain Intensity
Model b SE β t p Adjusted R2
BPI Pain Severity
Affect 2.845 .670 .408 4.246 .000 .238**
F(2,82) = 13.952
Pain Duration .277 .096 .278 2.893 .005
NRS
No predictive model–no variables entered in the equation.
KOOS Pain
Affect 5.688 2.229 .284 2.522 .013
Gender 9.756 4.320 .221 2.259 .027
Health 4.246 2.026 .231 2.060 .043
.234**
F(3,81) = 9.338
SF36 Pain
Health 7.032 2.292 .310 3.068 .003
Gender 15.176 5.520 .278 2.749 .007
.196*
F(2,82) = 9.730
% Residual Pain
Model b SE β t p Adjusted R2
BPI Pain Severity
Pain Duration 1.413 .536 .274 2.635 .01
Health 7.681 3.451 .232 2.226 0.029
.114**
F(2,82) = 6.267
NRS
No predictive model–no variables entered in the equation.
KOOS Pain
Physical Performance 9.276 3.036 .321 3.055 .003
.092**
F(1,83) = 9.335
SF36 Pain
Gender 24.210 8.088 .316 2.993 .004
.088**
F(1,83) = 8.959

Different explanatory models were elicited for absolute versus relative (% residual pain) pain intensity after surgery, with the variance explained by each model being overall lower for % residual pain than that for absolute pain intensity. Again, explanatory variables were also distinct considering the four different outcome measures.

b, unstandardized regression coefficient; SE, standard error; β, standardized regression coefficient; F, obtain F-value; t, obtained t-value; R2, proportion variance explained. Gender: male coded as 0, female coded as 1.

* p ≤ 0.05

**p ≤ 0.01. Displayed statistics are from the final step for each dependent variable.

BPI Severity, Brief Pain Inventory Pain: severity subscale; HOOS Pain, Hip Injury and Osteoarthritis Outcome Score: pain subscale; NRS, Numeric Rating Scale; SF36 Pain, Short-form (36) Health Survey: pain subscale.