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Use of anthropometric variables to predict relative body fat determined by a four-compartment body composition model

European Journal of Clinical Nutrition volume 57, pages 1009–1016 (2003)Cite this article

Abstract

Objective: To generate equations for the prediction of percent body fat (% BF) via a four-compartment criterion body composition model from anthropometric variables and age.

Design: Multiple regression analyses were used to predict % BF from the best-weighted combinations of independent variables.

Subjects: In all 79 healthy males (X̄±s.d.: 35.0±12.2 y; 84.24±12.53 kg; 179.8±6.8 cm) aged 19–59 y were recruited from advertisements placed in a university newsletter and on community centres' noticeboards.

Interventions: The following measurements were conducted: % BF using a four-compartment (water, bone mineral mass, fat and residual) model and a restricted anthropometric profile (nine skinfolds, five girths and two bone breadths).

Results: Stepwise multiple regression selected six (subscapular, biceps, abdominal, thigh, calf and mid-axilla) of the nine skinfold measurements to predict % BF and using the sum of these six produced a quadratic equation with a standard error of estimate (SEE) and R2 of 2.5% BF and 0.89, respectively. The inclusion of age as a predictor further improved the equation (% BF=−0.00057 × (∑6SF)2+0.298 × ∑6SF+0.078 × age – 1.13; SEE=2.2% BF, R2=0.91). However, the best equation used only the sum of three skinfold thicknesses (mid-axilla, calf and thigh) and age but also included waist girth and biepicondylar femur breadth as predictors (% BF=−0.00258 × (∑3SF)2+0.558 × ∑3SF+0.118 × age+0.282 × waist girth – 2.100 × femur breadth – 2.34; SEE=1.8% BF, R2=0.94). Analyses of two age groups, <30 and ≥30 y, demonstrated that for the same % BF, the former exhibited a higher sum of skinfold thicknesses.

Conclusions: Equations were generated for the prediction of % BF via the four-compartment criterion body composition model from anthropometric variables and age. Agewise differences for the sum of skinfold thicknesses may be related to an increase in internal fat for the older subjects.

Sponsorship: Australian Research Council (small grants scheme).

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  1. Exercise Physiology Laboratory, School of Education, Flinders University, Adelaide, Australia

    G E van der Ploeg, S M Gunn, R T Withers & A C Modra

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  1. G E van der Ploeg
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  2. S M Gunn
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Correspondence to R T Withers.

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van der Ploeg, G., Gunn, S., Withers, R. et al. Use of anthropometric variables to predict relative body fat determined by a four-compartment body composition model. Eur J Clin Nutr 57, 1009–1016 (2003). https://doi.org/10.1038/sj.ejcn.1601636

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