Table 3. The relationship between predicted PAEE using the Actigraph GT3X+ and criterion PAEE at the three anatomical positions in all three groups.
| Location | r | R2 | SEE (kcal·min-1) | LoA (kcal·min-1) | P Value |
|---|---|---|---|---|---|
| Unilateral Amputee Group | |||||
| Longest Residual Limb | 0.76 | 0.59 | 1.23 | 0 ± 2.39 | <0.001 |
| Spine | 0.68 | 0.46 | 1.40 | 0 ± 2.73 | <0.001 |
| Shortest Residual Limb | 0.82 | 0.67 | 1.11 | 0 ± 2.15 | <0.001 |
| Model 1.1: PAEE = (0.000979 x PAC·min-1) + 2.255481 | |||||
| Model 2.1: PAEE = (0.000928 x PAC·min-1) + (0.027761 x Time Since Amputation[months]) + (0.663267 x Level of Injury [1 or 2]) − 1.139788 | |||||
| Shortest Residual Limb | 0.86 | 0.73 | 1.01 | 0 ± 1.91 | <0.001 |
| Bilateral Amputee Group | |||||
| Longest Residual Limb | 0.80 | 0.64 | 1.56 | 0 ± 3.03 | <0.001 |
| Spine | 0.80 | 0.64 | 1.57 | 0 ± 3.05 | <0.001 |
| Shortest Residual Limb | 0.92 | 0.85 | 1.03 | 0 ± 1.99 | <0.001 |
| Model 1.2: PAEE = (0.000929 x PAC·min-1) − 0.051541 | |||||
| Model 2.2: PAEE = (0.000877 x PAC·min-1) + (0.024560 x Waist Circumference [cm]) − 2.263715 | |||||
| Shortest Residual Limb | 0.94 | 0.88 | 0.93 | 0 ± 1.79 | <0.001 |
| Control Group | |||||
| Left Limb | 0.88 | 0.77 | 0.54 | 0 ± 1.06 | <0.001 |
| Spine | 0.87 | 0.75 | 0.57 | 0 ± 1.10 | <0.001 |
| Right Limb | 0.87 | 0.76 | 0.56 | 0 ± 1.08 | <0.001 |
| Model 1.3: PAEE = (0.000776 x PAC·min-1) + 0.427097 | |||||
| Model 2.3: PAEE = (0.000782 x PAC·min-1) + (0.033104 x Body Mass [kg]) − 2.191630 | |||||
| Left Limb | 0.89 | 0.80 | 0.51 | 0 ± 0.98 | <0.001 |
The table displays the predictive equations used in the most accurate accelerometer location, the shortest residual limb (Model 1) and the impact of significant covariates (Model 2) at increasing the accuracy of the GT3X+ accelerometer at predicting PAEE. Limits of agreement (LoA) expressed as mean ± 95% SD.