Table 1 Participant characteristics
From: Prediction of total and regional body composition from 3D body shape
Variables | units | Fenland Study | Smartphone validation study | ||
|---|---|---|---|---|---|
Phase 1 (training) | Phase 1 (validation) | Phase 2 (validation) | Â | ||
n = 9087 | n = 2272 | n = 6102 | n = 119 | ||
Age | yrs | 48.7 ± 7.5 | 48.8 ± 7.6 | 55.8 ± 7.05 | 42.3 ± 12.3 |
Weight | kg | 77.6 ± 15.3 | 77.6 ± 15.3 | 77.3 ± 15.2 | 69.9 ± 13.5 |
Height | cm | 170.0 ± 9.3 | 170.0 ± 9.3 | 170.4 ± 9.3 | 168.4 ± 9.8 |
BMI | kg/m2 | 26.8 ± 4.5 | 26.7 ± 4.5 | 26.6 ± 4.4 | 24.6 ± 4.2 |
Sex | n (%) male | 4298 (47.3) | 1035 (45.6) | 2979 (48.8) | 39 (32.7) |
Total body fat mass | kg | 26.4 ± 9.0 | 26.5 ± 9.2 | 26.3 ± 9.0 | 21.0 ± 9.0 |
Percentage body fat | % | 33.5 ± 7.7 | 33.8 ± 8.0 | 33.7 ± 7.8 | 29.4 ± 9.5 |
Android fat mass | kg | 2.3 ± 1.2 | 2.3 ± 1.2 | 2.4 ± 1.2 | 1.5 ± 1.1 |
Gynoid fat mass | kg | 4.4 ± 1.6 | 4.4 ± 1.6 | 4.3 ± 1.5 | 3.9 ± 1.5 |
Visceral fat mass | kg | 1.0 ± 0.8 | 1.0 ± 0.8 | 1.0 ± 0.8 | 0.5 ± 0.5 |
Abdominal SCAT massa | kg | 1.4 ± 0.6 | 1.4 ± 0.7 | 1.3 ± 0.6 | 1.1 ± 0.8 |
Peripheral fat massb | kg | 11.6 ± 4.0 | 11.7 ± 4.1 | 11.3 ± 4.0 | 10.2 ± 4.0 |
Total lean mass | kg | 48.8 ± 10 | 48.4 ± 9.8 | 48.2 ± 10 | 46.8 ± 10 |
Appendicular lean massc | kg | 22.3 ± 5.5 | 22.1 ± 5.4 | 21.6 ± 5.3 | 21.7 ± 5.5 |
ALMId | kg/m2 | 7.6 ± 1.3 | 7.5 ± 1.3 | 7.4 ± 1.3 | 7.5 ± 1.3 |
