Table 5.
Linear regression model estimates of demographic and concussion-related factors.
| Estimate (SE) |
|||||||
|---|---|---|---|---|---|---|---|
| Heart rate variability variable | Sex | Age | PCSI physical | PCSI cognitive | PCSI emotional | PCSI fatigue | Previous concussion |
| log (SDNN) (N = 294) | −0.071 (0.03)* | 0.031 (0.01)* | −0.013 (0.01) | −0.021 (0.009)* | 0.015 (0.01) | 0.015 (0.01) | 0.061 (0.04) |
| RMSSD (N = 294) | −2.746 (3.60) | −0.133 (1.46) | −0.991 (1.13) | −2.195 (1.00)* | 1.429 (1.43) | 1.097 (1.58) | 6.585 (3.90) |
| pNN50a (N = 294) | −2.676 (1.85) | – | – | – | – | – | 2.997 (1.67) |
| HF (N = 147) | −153.73 (64.71)* | −5.98 (20.33) | −31.41 (17.38) | −11.31 (14.99) | −17.77 (23.89) | 4.57 (23.74) | 43.47 (55.09) |
| HFnu (N = 147) | 0.123 (1.62) | −0.731 (0.65) | 0.001 (0.56) | −0.581 (0.48) | −0.217 (0.76) | 1.018 (0.56) | 2.394 (1.78) |
| log (LF) (N = 147) | −2.172 (1.09)* | 0.247 (0.44) | −0.621 (0.38) | −0.049 (0.33) | 0.137 (0.51) | 0.325 (0.38) | 0.471 (1.2) |
| LFnu (N = 147) | −0.123 (1.62) | 0.731 (0.65) | −0.001 (0.56) | 0.581 (0.48) | 0.216 (0.76) | −1.018 (0.56) | −2.394 (1.78) |
| log (Total power) (N = 147) | −0.203 (0.08)* | 0.017 (0.03) | −0.035 (0.03) | −0.021 (0.02) | 0.018 (0.04) | 0.037 (0.03) | 0.110 (0.09) |
*A significant p-value < 0.05.
aThe uniqueness of the pNN50 model. Level of fit indicated a removal of age as a factor and removal of each PCSI domain. Rather, PSCI total score enhanced the fit of the model and is described within the results section.