. 2014 Jan 28;20(1):32–39. doi: 10.1310/sci2001-32

Table 2. Pain interference hierarchical regression models.

				Change statistics
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.