Table 4.
Differences and predictors for stimulation intensity and grading
| Variable | Stimulation Intensity (mA) | Grading at 50 Hz | ||
|---|---|---|---|---|
| One-way ANOVA for differences between groups | ||||
| Gender | F(1, 112) = 2.485 | p = 0.118 | F(1, 112) = 0.272 | p = 0.603 |
| Spinal Level | F(2, 326) = 8.08 | p < 0.001 | F(2, 326) = 49.906 | p < 0.001 |
| Laterality | F(2, 220) = 11.294 | p < 0.001 | F(1,220) = 56.263 | p < 0.001 |
| Gender | F(1, 110) = 0.364 | p = 0.547 | F(1, 110) = 0.379 | p = 0.54 |
| GMFCS | F(4,105) = 1.345 | p = 0.258 | F(4, 105) = 1.24 | p = 0.298 |
| Spasticity | F(3, 103) = 0.066 | p = 0.978 | F(3, 103) = 1.322 | p = 0.271 |
| Linear regression for possible predictors | ||||
| Age | R2 = 0.001, F(1, 110) = 0.153 | p = 0.696 | R2 = 0.003, F(1, 110) = 0.313 | p = 0.577 |
| GMFM-66 | R2 = 0.027, F(1, 57) = 1.593 | p = 0.212 | R2 = 0.004, F(1, 57) = 0.2 | p = 0.656 |
| % Rootlets cut | R2 = 0.002, F(1, 5384) = 8.794 | p = 0.003 | R2 = 0.004, F(1, 5379) = 23.058 | p < 0.001 |
One-way ANOVA reported as: F(df between groups, df within groups) = F-value, p-value
Linear regression reported as: R squared value, F(df regression, df residual) = F-value, p-value
Abbreviations: mA milliamperes, Hz hertz, ANOVA analysis of variance, GMFCS gross motor function classification system, GMFM gross motor function measure