COMPARISON OF EXISTING SKINFOLD EQUATIONS FOR ESTIMATING BODY-FAT IN AFRICAN-AMERICAN AND WHITE WOMEN

Authors
Citation
Lj. Brandon, COMPARISON OF EXISTING SKINFOLD EQUATIONS FOR ESTIMATING BODY-FAT IN AFRICAN-AMERICAN AND WHITE WOMEN, The American journal of clinical nutrition, 67(6), 1998, pp. 1155-1161
Citations number
34
Categorie Soggetti
Nutrition & Dietetics
ISSN journal
00029165
Volume
67
Issue
6
Year of publication
1998
Pages
1155 - 1161
Database
ISI
SICI code
0002-9165(1998)67:6<1155:COESEF>2.0.ZU;2-4
Abstract
The purpose of this study was to compare seven skinfold equations with underwater weighing (UWW) for estimating body fat in 39 African Ameri can [age: 22.8 +/- 3.6 y ((x) over bar +/- SD); weight: 59.6 +/- 8.3 k g) and 39 white (age: 22.1 +/- 2.9 y; weight: 61.7 +/- 7.3 kg) women. The hypothesis examined was that the equations would produce more accu rate body fat estimates in white women, but would be appropriate for u se in African American women. Body fat estimated from two quadratic, t hree linear, and two logarithmic skinfold equations was compared with body fat estimated from UWW; the same procedures were used to evaluate the results in both African Americans and whites. The data were analy zed by using t tests, analysis of variance, Scheffe's honestly signifi cant difference tests, correlations, error assessments, and agreement. The results showed that total error, SEE, and SD values were larger i n the African American women than in the white women and were not with in acceptable limits listed in the literature. The correlation coeffic ients were lower in the African American women than in the white women . Agreement between the skinfold equations and UWW, based on deviation s from mean differences, was better in the white women. In conclusion, the skinfold prediction equations evaluated in this study were more v ariable and produced more error when used in African American women. T herefore, population-specific equations for African American women sho uld be used to estimate body fat because they will probably yield more accurate estimates.