Estimating body fat in African American and white adolescent girls : a comparison of skinfold-thickness equations with a 4-compartment criterion model

Although skinfold-thickness equations are widely used to estimate body fat, their accuracy in a biracial population of female adolescents has not been established. We undertook this study to determine the agreement between 8 widely used skinfold-thickness equations and a 4-compartment criterion mode...

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Veröffentlicht in:The American journal of clinical nutrition 2000-08, Vol.72 (2), p.348-354
Hauptverfasser: WONG, W. W, STUFF, J. E, BUTTE, N. F, SMITH, E. O, ELLIS, K. J
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Sprache:eng
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Zusammenfassung:Although skinfold-thickness equations are widely used to estimate body fat, their accuracy in a biracial population of female adolescents has not been established. We undertook this study to determine the agreement between 8 widely used skinfold-thickness equations and a 4-compartment criterion model in predicting the percentage body fat of 72 white and 40 African American girls aged 13.0 +/- 1.9 y. The biceps, triceps, suprailiac, subscapular, thigh, calf, and abdominal skinfold thicknesses of the subjects were measured with skinfold calipers and the buttocks circumference with a metal tape. The percentage fat mass (%FM) predicted by using each skinfold-thickness equation was compared with the criterion value calculated by the 4-compartment model on the basis of measurements of body density, body water, and bone mineral content. When the racial groups were analyzed separately, the Bland-Altman analysis indicated that the quadratic equations agreed most closely with the 4-compartment model's measurement of %FM. Agreement of the other equations varied with body fatness. The quadratic equation of Slaughter et al is recommended for population studies in female adolescents because of its accuracy and simplicity. However, an individual %FM can be over- or underestimated by approximately 10% when this skinfold-thickness equation is used.
ISSN:0002-9165
1938-3207
DOI:10.1093/ajcn/72.2.348