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. 2020 Oct 2;53(3):496–504. doi: 10.1249/MSS.0000000000002490

TABLE 4.

The mediating effects of inflammatory markers on the relationship between exercise and fatigue.

Total Fatigue, Estimate (95% CI) Proportion Mediated (%) Physical Fatigue, Estimate (95% CI) Proportion Mediated (%)
Effect of RT-HIIT on fatigue
 Total effect −1.25 (−2.58 to 0.09) −1.48 (−2.98 to −0.02)*
 Indirect effect through CD40-L −0.01 (−0.34 to 0.12) 0.8 −0.03 (−0.49 to 0.11) 2.0
 Indirect effect through IL-6 −0.40 (−1.11 to −0.04)* 32.0 −0.41 (−1.01 to −0.03)* 27.7
 Indirect effect through EGF −0.006 (−0.29 to 0.14) 0.5 −0.03 (−0.41 to 0.08) 2.0
 Indirect effect through TRAIL −0.13 (−0.69 to 0.04) 10.4 −0.13 (−0.78 to 0.06) 8.8
 Indirect effect through CD8a −0.39 (−1.11 to −0.02)* 31.2 −0.39 (−1.20 to −0.004)* 26.4
 Indirect effect through DCN −0.13 (−0.77 to 0.05) 10.4 −0.12 (−0.69 to 0.08) 8.1
 Indirect effect through CCL17 −0.009 (−0.30 to 0.10) 0.7 −0.02 (−0.43 to 0.09) 1.4
 Indirect effect through CASP-8 −0.05 (−0.52 to 0.06) 4.0 −0.07 (−0.60 to 0.06) 4.7
 Indirect effect through ICOSLG −0.17 (−0.81 to 0.05) 13.6 −0.15 (−0.72 to 0.05) 10.1
 Indirect effect through CSF-1 −0.30 (−0.91 to 0.03) 24.0 −0.29 (−0.93 to 0.07) 19.6
 Indirect effect through IFN-γ −0.22 (−0.86 to 0.07) 17.6 −0.24 (−1.00 to 0.08) 0.16
 Indirect effect through IL-10 −0.03 (−0.36 to 0.56) 2.4 −0.06 (−0.78 to 0.26) 4.1
 Indirect effect through FasL −0.11 (−0.61 to 0.08) 8.8 −0.15 (−0.73 to 0.12) 10.1
 Indirect effect through CXCL9 −0.03 (−0.25 to 0.38) 2.4 −0.05 (−0.27 to 0.44) 3.4
 Indirect effect through MIC A/B −0.24 (−0.68 to 0.02) 19.2 −0.23 (−0.73 to 0.01) 15.5
Effect of AT-HIIT on fatigue
 Total effect −1.59 (−2.94 to −0.24)* −1.60 (−3.12 to −0.09)*
 Indirect effect through CD40-L −0.05 (−0.51 to 0.21) 3.1 −0.11 (−0.64 to 0.17) 6.9
 Indirect effect through IL-6 −0.13 (−0.60 to 0.18) 8.2 −0.12 (−0.64 to 0.16) 7.5
 Indirect effect through EGF −0.02 (−0.45 to 0.24) 0.9 −0.08 (−0.65 to 0.17) 4.8
 Indirect effect through TRAIL −0.04 (−0.09 to 0.47) 2.5 −0.05 (−0.11 to 0.51) 3.1
 Indirect effect through CD8a −0.22 (−0.82 to 0.03) 13.8 −0.22 (−0.95 to 0.06) 13.8
 Indirect effect through DCN −0.005 (−0.21 to 0.27) 0.3 −0.007 (−0.17 to 0.37) 0.4
 Indirect effect through CCL17 −0.02 (−0.46 to 0.16) 1.3 −0.06 (−0.65 to 0.12) 3.8
 Indirect effect through CASP-8 −0.10 (−0.64 to 0.10) 6.3 −0.14 (−0.74 to 0.08) 8.8
 Indirect effect through ICOSLG −0.06 (−0.53 to 0.11) 3.8 −0.06 (−0.49 to 0.08) 3.8
 Indirect effect through CSF-1 −0.07 (−0.50 to 0.22) 4.4 −0.07 (−0.50 to 0.27) 4.4
 Indirect effect through IFN-γ −0.06 (−0.50 to 0.16) 3.8 −0.06 (−0.53 to 0.20) 3.8
 Indirect effect through IL-10 −0.01 (−0.20 to 0.22) 0.01 −0.001 (−0.17 to 0.24) 0.1
 Indirect effect through FasL −0.01 (−0.37 to 0.18) 0.6 −0.006 (−0.40 to 0.30) 0.4
 Indirect effect through CXCL9 −0.18 (−0.02 to 0.64) 11.3 −0.23 (−0.03 to 0.72) 14.4
 Indirect effect through MIC A/B −0.10 (−0.57 to 0.17) 6.3 −0.09 (−0.57 to 0.11) 5.6

*P < 0.05.

CASP-8, caspase-8; CD40-L, CD40 ligand; CSF-1, macrophage colony stimulating factor 1; CXCL9, C-X-C motif chemokine 9; DCN, decorin; FasL, Fas antigen ligand; ICOSLG, ICOS ligand; MIC A/B, MHC class I polypeptide-related sequence A/B; TRAIL, TNF-related apoptosis-inducing ligand.