Table 2.
Percent body fat prediction equations using anthropometric measurements
r | r 2 | SEE† | ||
---|---|---|---|---|
Model 1 | Y = –9·927 + 5·902x1 + 0·392x2 + 10·869x3 | 0·65** | 0·42 | 7·35 |
Model 2 |
Y = 22·129 + 6·243x1 + 0·047x2 + 13·190x3 –0·403x4 + 0·586x5 |
0·80** | 0·64 | 5·90 |
Model 3 |
Y = –28·294 + 3·740x1–0·074x2 + 11·303x3 –0·169x4 + 0·079x5 + 0·671x6 |
0·84** | 0·71 | 5·34 |
Model 1: Race, sex, age.
Model 2: Race, sex, age, height, weight.
Model 3: Race, sex, age, height, weight, waist circumference.
SEE, standard error of estimate; x1, race (1 = Asian, 2 = non-Asian); x2, age (years); x3, sex (male = 1, 2 = female); x4, height (cm); x5, weight (kg); x6, waist circumference measured at the superior border of the iliac crest (cm).
Significance of P < 0·001.
Presented as percent body fat.