Table 3.

Regression Model Predicting Global Fatigue

	df	ΔF	p	ΔR2	Entered Variables	B	SE	β
Step 1	3,110	31.02	<.001	.458	Intercept†	31.43	1.42
					Age	−0.07	0.16	−0.03
					Medical Symptoms†	3.68	0.73	0.41
					Sleep Quality†	1.99	0.43	0.38
Step 2	5,108	33.39	<.001	.207	Intercept†	26.08	2.08
					Age*	−0.34	0.13	−0.15
					Medical Symptoms†	2.51	0.60	0.28
					Sleep Quality†	1.56	0.34	0.30
					Caregiver†	10.53	2.59	0.25
					Mastery†	−2.22	0.41	−0.35
Step 3	6,107	4.13	.045	.012	Intercept†	23.61	2.38
					Age*	−0.33	0.13	−0.15
					Medical Symptoms†	2.30	0.60	0.26
					Sleep Quality†	1.63	0.34	0.31
					Caregiver †	12.81	2.79	0.31
					Mastery	−1.16	0.66	−0.18
					Caregiver X Mastery*	−1.66	0.82	−0.19

Note. Intercept corresponds to the predicted global fatigue score for a caregiver where age was centered at 70 years, medical symptoms was centered at 23, sleep quality (PSQI Global Score) was centered at 7, and Mastery was centered at 19.

^*p ≤ .05

^**p ≤ .01

^†p ≤ .001