Development and Validation of an Anthropometrically Based Prediction Equation for Estimating the Percent Body Fat of Post-Menopausal Black Females

Authors

Leanne Petry
Lloyd L. Laubach
Peter W. Hovey
Nikki Lynn Rogers, Wright State University - Main CampusFollow
Bradford Towne, Wright State University - Main CampusFollow
William Cameron Chumlea, Wright State University - Main CampusFollow

Document Type

Article

Publication Date

8-2005

Abstract

Anthropometric equations developed specifically for the estimation of body composition parameters in Black females are limited. Data from the Lifespan Health Research Center were used to develop a new, easy to use equation to estimate the percent body fat of post-menopausal Black females using simple and easy to collect anthropometrics. The body composition of 72 post-menopausal Black females was measured by Dual Energy X-ray Absorptiometry (DXA). Validation (N=55) and cross-validation groups (N=17) were randomly assigned. Prediction models were developed using stepwise multiple regression analyses with percent body fat as the dependent variable and various anthropometrics as the independent variables. The chosen prediction equation uses hip circumference, wrist breadth, bicep skinfold, and weight as predictors of percent body fat. The suggested prediction equation is: %BF = -214.28 + 58.58*ln (hip Circ) - 23.47*ln (wrist BB) + 7.24*ln (bicep SKF) – 0.00108*weight² and has a model R² =0.82 and a SEE=1.0%.

Comments

Posted with permission from publisher.

Repository Citation

Petry, L., Laubach, L. L., Hovey, P. W., Rogers, N. L., Towne, B., & Chumlea, W. C. (2005). Development and Validation of an Anthropometrically Based Prediction Equation for Estimating the Percent Body Fat of Post-Menopausal Black Females. Journal of Exercise Physiology Online, 8 (4), 20-28.
https://corescholar.libraries.wright.edu/comhth/186