Body Composition in Military or Military Eligible Women
Abstract
This project examined the relationship between a 4-C multi-compartment model for the estimation of percent body fat (%BF) and the estimation of %BF from Army and Navy anthropometric prediction equations and the Lohman and Segal bioelectrical impedance (BIA) prediction equations in a group of 3%% individuals including Caucasians, African-American, Asian, Hispanic, Pacific Islands and Filipina women. Results demonstrated that use of a multi-compartment model did not increase the error associated with the estimation of %BF. Furthermore, it was shown that BIA estimation of total body water (TBW) was not different from results obtained by deuterium oxide dilution. Analysis of variance for %BF, as the outcome variable, indicated no significant method by race interaction. Correlation coefficients for the association between 4-C %BF and the other 4 predictions of %BF ranged from r = 0.84 to 0.92. Furthermore, slopes, intercepts, and the 95% confidence intervals for the regression of %BF from each prediction equation against the 4-C %BF were similar. Because Army & Navy anthropometric estimates of %BF, and the Lohman & Segal BIA estimates of %BF were comparable to results obtained from the 4-C model it was concluded that new prediction_equations for specific racial groups are not needed.
Document Details
- Document Type
- Technical Report
- Publication Date
- Sep 01, 2001
- Accession Number
- ADA400125
Entities
People
- James A. Hodgdon
- Kathleen Kujawa
- Marta Van Loan