Table 4.
Two-way ANOVA analysis for fatigue type (PF vs. PMF) and gender (male vs. female) on HRV parameters.
| Measures | Source | df | F | P | η2 |
|---|---|---|---|---|---|
| ΔRMSSD | Fatigue type | 1 | 0.78 | 0.38 | 0.02 |
| Gender | 1 | 2.82 | 0.10 | 0.05 | |
| Fatigue type × Gender | 1 | 2.73 | 0.11 | 0.05 | |
| Error | 67 | ||||
| ΔSDNN | Fatigue type | 1 | 0.14 | 0.71 | 0.00 |
| Gender | 1 | 1.16 | 0.29 | 0.02 | |
| Fatigue type × Gender | 1 | 1.28 | 0.31 | 0.14 | |
| Error | 67 | ||||
| ΔLF | Fatigue type | 1 | 0.28 | 0.60 | 0.01 |
| Gender | 1 | 2.73 | 0.10 | 0.05 | |
| Fatigue type × Gender | 1 | 0.37 | 0.55 | 0.01 | |
| Error | 67 | ||||
| ΔHF | Fatigue type | 1 | 0.01 | 0.92 | 0.00 |
| Gender | 1 | 4.29 | 0.04 | 0.08 | |
| Fatigue type × Gender | 1 | 0.00 | 0.96 | 0.00 | |
| Error | 67 | ||||
| ΔLF/HF | Fatigue type | 1 | 0.08 | 0.78 | 0.00 |
| Gender | 1 | 2.26 | 0.14 | 0.04 | |
| Fatigue type × Gender | 1 | 0.00 | 0.99 | 0.00 | |
| Error | 67 |