Predicting body composition from anthropometry and bioimpedance in marginally undernourished adolescents and young adults.
Body-composition prediction equations were developed using data from a sample of 201 female and male Guatemalan ladinos (ie, people of Amerindian-European descent) aged 11-25 y. Fat-free mass (FFM) values were estimated from body density by using the two-component model and age- and sex-specific values for the density of FFM. The root-mean-square error (RMSE) of the best model predicting FFM from a set of simple anthropometric variables was 1.59 kg for females and 1.90 kg for males. The addition of more extensive anthropometry to the set of candidate predictors reduced the RMSE to 1.42 kg for females and 1.88 kg for males. The subsequent addition of a bioelectrical impedance measure (Ht2/R) further reduced the RMSE to 1.32 kg for females and 1.82 kg for males. These results suggest that for a marginally undernourished population with relatively little body fat, simple anthropometrics are as useful as more sophisticated measures for the prediction of body composition.
Conlisk
E A
EA
Division of Nutritional Sciences, Cornell University, Ithaca, NY.
Haas
J D
JD
Martinez
E J
EJ
Flores
R
R
Rivera
J D
JD
Martorell
R
R
D000293:Adolescent; D000328:Adult; D000886:Anthropometry; D001823:Body Composition; D002648:Child; D005260:Female; D006166:Guatemala; D006801:Humans; D008297:Male; D009748:Nutrition Disorders / Q000473:pathology*; D010992:Plethysmography, Impedance; D011203:Poverty; D015203:Reproducibility of Results; D012727:Sex Characteristics; D012959:Socioeconomic Factors