Table 2. Pain interference hierarchical regression models.
Change statistics |
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Steps | R2 | Standard error of the estimate | R2 change | F change | df1 | df2 | Significance, F change | Model F, significance | Semi-partial correlation for interference |
Interference with general activity | |||||||||
Step 1 | 0.05 | 5.46 | 0.05 | 1.66 | 6 | 193 | .13 | ||
Step 2 | 0.13 | 5.23 | 0.08 | 18.02 | 1 | 192 | ≤.001 | ||
Step 3 | 0.26 | 4.85 | 0.13 | 32.16 | 1 | 191 | ≤.001 | 8.21, ≤.001 | 0.35 |
Interference with mood | |||||||||
Step 1 | 0.05 | 5.46 | 0.05 | 1.66 | 6 | 193 | .13 | ||
Step 2 | 0.13 | 5.23 | 0.08 | 18.02 | 1 | 192 | ≤.001 | ||
Step 3 | 0.35 | 4.54 | 0.22 | 63.94 | 1 | 191 | ≤.001 | 12.78, ≤.001 | 0.47 |
Interference with mobility | |||||||||
Step 1 | 0.05 | 5.46 | 0.05 | 1.66 | 6 | 193 | .13 | ||
Step 2 | 0.13 | 5.23 | 0.08 | 18.02 | 1 | 192 | ≤.001 | ||
Step 3 | 0.25 | 4.89 | 0.12 | 29.31 | 1 | 191 | ≤.001 | 7.80, ≤.001 | 0.34 |
Interference with relations with others | |||||||||
Step 1 | 0.05 | 5.46 | 0.05 | 1.65 | 6 | 192 | .13 | ||
Step 2 | 0.13 | 5.23 | 0.08 | 17.93 | 1 | 191 | ≤.001 | ||
Step 3 | 0.32 | 4.63 | 0.19 | 54.40 | 1 | 190 | ≤.001 | 11.40, ≤.001 | 0.44 |
Interference with sleep | |||||||||
Step 1 | 0.05 | 5.46 | 0.05 | 1.66 | 6 | 193 | .13 | ||
Step 2 | 0.13 | 5.23 | 0.08 | 18.02 | 1 | 192 | ≤.001 | ||
Step 3 | 0.28 | 4.79 | 0.15 | 38.28 | 1 | 191 | ≤.001 | 9.10, ≤.001 | 0.38 |
Interference with enjoyment of life | |||||||||
Step 1 | 0.05 | 5.46 | 0.05 | 1.65 | 6 | 192 | .13 | ||
Step 2 | 0.13 | 5.23 | 0.08 | 17.93 | 1 | 191 | ≤.001 | ||
Step 3 | 0.36 | 4.50 | 0.23 | 68.30 | 1 | 190 | ≤.001 | 13.40, ≤.001 | 0.48 |
Note: Semi-partial correlations squared are the amount of depression variance accounted for by pain interference (only given in step 3). Step 1 = age, gender, days post-injury, injury level, use of antidepressants, pre-injury alcohol use; Step 2 = pain intensity; Step 3 = pain interference.