Table 5.

Multiple regression analysis using the PCS, MCS, and PCS as a dependent variable. Model fit measures (PCS): R² = 0.107, adjusted R² = 0.0947, overall F = 8.61 (P< 0.01); Model fit measures (MCS): R² = 0.331, adjusted R² = 0.322, overall F = 35.5 (P < 0.01); Model fit measures (RCS): R² = 0.107, adjusted R² = 0.094, overall F = 8.59 (P < 0.01).

Dependent variable	Explanatory variable	Unstandardized regression coefficient (95% CI)	P-value	Standardized regression coefficient (95% CI)
PCS	CFS score	−0.26 (−0.38, −0.15)	<0.001	−26 (−0.37, −0.14)
	fT3 level	3.20 (0.77, 5.63)	0.001	0.15 (0.019, 0.24)
	Age	0.09 (0.015, 0.17)	0.020	0.13 (0.021, 0.24)
	Female	−2.12 (−0.48, 0.57)	0.122	−0.087 (−0.2, 0.023)
MCS	CFS score	−0.57 (−0.67, −0.48)	< 0.001	−0.58 (−0.67, −0.48)
	fT3 level	−0.024 (−2.04, 1.99)	0.981	−0.001 (−0.097, 0.095)
	Age	0.005 (−0.059, 0.07)	0.87	0.0078 (−0.09, 0.10)
	Female	−0.96 (−3.19, 1.26)	0.395	−0.041 (−0.14, 0.05)
RCS	CFS score	−0.41 (−0.54, −0.27)	<0.001	−0.33 (−0.44, −0.22)
	fT3	−0.12 (−3.04, 2.80)	0.938	−0.004 (−0.12, 0.011)
	Age	−0.011 (−0.12, 0.082)	0.812	−0.013 (−0.12, 0.097)
	Female	−0.92 (−4.14, 2.31)	0.577	−0.031 (−0.14, 0.079)

CFS, Cancer Fatigue Scale; MCS, mental component summary; PCS, physical component summary; RCS, role component summary.