Table 4.

Results of multiple regression analysis with symptom domains as dependent variables and cytokines/chemokines/growth factors as explanatory variables.

Dependent variables	Explanatory variables	Coefficients of input variables			Model statistics
		β	T	p	R2	F	df	p
#1. Pure depression	Model				0.489	29.29	3/92	< 0.001
	IL-16	0.593	6.87	< 0.001
	CCL3	− 0.453	− 0.38	< 0.001
	SCGF	0.275	2.16	0.033
#2 Pure anxiety	Model				0.454	25.55	3/92	< 0.001
	IL-16	0.593	6.87	< 0.001
	CCL3	− 0.453	− 3.83	< 0.001
	IL-17	0.275	2.16	0.033
#3. Physiosomatic symptoms	Model				0.590	25.88	5/90	< 0.001
	IL-16	0.861	9.28	< 0.001
	CCL3	− 0.398	− 4.93	< 0.001
	sIL-1RA	− 0.266	− 2.85	0.005
	Sex	0.266	3.58	< 0.001
	IL-8	0.252	3.09	0.003
#4. Pure FF	Model				0.465	26.63	3/92	< 0.001
	IL-16	0.736	5.68	< 0.001
	CIRS	− 0.468	− 4.10	< 0.001
	TRAIL	0.269	2.27	0.026
#5. Melancholia	Model				0.532	34.92	3/92	< 0.001
	IL-16	0.492	4.72	< 0.001
	SCGF	0.306	3.02	0.003
	CCL	− 0.197	− 2.63	0.010
#6. GIS	Model				0.494	17.55	5/90	< 0.001
	IL-16	0.305	2.47	0.016
	CCL3	− 0.395	− 4.59	< 0.001
	CCL1	0.310	3.71	< 0.001
	TRAIL	0.271	2.35	0.021
	IL-8	0.171	2.04	0.044
#7. Insomnia	Model				0.541	36.17	3/92	< 0.001
	IL-16	0.676	5.57	< 0.001
	sIL-1RA	− 0.276	− 2.85	0.005
	SCGF	0.271	2.75	0.007
#8. Autonomic	Model				0.057	5.65	1/94	0.019
	TRAIL	0.238	2.38	0.019

IL interleukin, SCGF stem cell growth factor, sIL-1RA soluble IL-1 receptor antagonist, sex males = 1, females = 0, CIRS compensatory immunoregulatory system, TRAIL tumor necrosis factor-related apoptosis-inducing ligand.