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Body composition predicted from skinfolds in African women: a cross-validation study using air-displacement plethysmography and a black-specific equation

Published online by Cambridge University Press:  08 March 2007

Aïssatou Dioum ,
Agnès Gartner ,
Bernard Maire ,
Francis Delpeuch  and
Salimata Wade
Aïssatou Dioum
Affiliation:
Equipe de Nutrition, Laboratoire de Physiologie, Département de Biologie Animale, Faculté des Sciences et Techniques, Université Cheikh Anta Diop de Dakar, Sénégal, West Africa
Agnès Gartner*
Affiliation:
Nutrition Unit, UR 106 (WHO Collaborating Centre for Nutrition), IRD (Institut de Recherche pour le Développement), BP 64501, 911 Avenue Agropolis, 34394, Montpellier Cedex 5, France
Bernard Maire
Affiliation:
Nutrition Unit, UR 106 (WHO Collaborating Centre for Nutrition), IRD (Institut de Recherche pour le Développement), BP 64501, 911 Avenue Agropolis, 34394, Montpellier Cedex 5, France
Francis Delpeuch
Affiliation:
Nutrition Unit, UR 106 (WHO Collaborating Centre for Nutrition), IRD (Institut de Recherche pour le Développement), BP 64501, 911 Avenue Agropolis, 34394, Montpellier Cedex 5, France
Salimata Wade
Affiliation:
Equipe de Nutrition, Laboratoire de Physiologie, Département de Biologie Animale, Faculté des Sciences et Techniques, Université Cheikh Anta Diop de Dakar, Sénégal, West Africa
*
*Corresponding author: Dr A. Gartner, fax +33 4 67 41 63 30, email gartner@mpl.ird.fr
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Abstract

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Skinfold thickness (SF) measurements are commonly used for the indirect assessment of body composition. It is necessary to know how large the bias is when using Caucasian SF-based prediction equations Africans, as no specific equations exist. Our first aim was to test the validity of the equation of Durnin & Womersley for predicting body density from SF in Africans. The second aim was to determine the effect of calculating percentage body fat (%BF) from body density using a black-specific formula rather than the Siri equation, thus taking into account the higher fat-free mass (FFM) density in blacks than in whites. A total of 196 African women volunteered. Mean age was 29·5 (sd 8·7) years and mean BMI was 22·5 (sd 4·6) kg/m2. We compared body density values predicted from SF with those measured by air-displacement plethysmography, and %BF values obtained from body density using the Siri equation or the black-specific calculation. The bias (reference minus prediction) was 0·0100 kg/cm3 in body density (P<10−4) and 6·5 % BF (P<10−4), and the error (sd of the bias) 0·0097 kg/l and 4·5 % BF. With the black-specific equation, the bias was reduced by 1·9 % BF, while error remained similar. As the %BF prediction required an SF-based equation followed by a body density-based calculation, the lack of validity we observed in Africans may be due to known differences between blacks and whites in the distribution of subcutaneous adipose tissue and, as demonstrated, in the FFM density. Equations thus need to be established using SF values specific to Africans.

Keywords

Skinfold thicknessFat prediction equationsAfrican women
Type
Research Article
Information
British Journal of Nutrition , Volume 93 , Issue 6 , June 2005 , pp. 973 - 979
Copyright
Copyright © The Nutrition Society 2005

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