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. 2020 Mar 16;23(9):1507–1514. doi: 10.1017/S1368980019004191

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.