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Estimating body fat in NCAA Division I female athletes: a five-compartment model validation of laboratory methods.

Authors :
Moon, Jordan R.
Eckerson, Joan M.
Tobkin, Sarah E.
Smith, Abbie E.
Lockwood, Christopher M.
Walter, Ashley A.
Cramer, Joel T.
Beck, Travis W.
Stout, Jeffrey R.
Source :
European Journal of Applied Physiology; Jan2009, Vol. 105 Issue 1, p119-130, 12p, 4 Charts, 4 Graphs
Publication Year :
2009

Abstract

The purpose of the present study was to determine the validity of various laboratory methods for estimating percent body fat (%fat) in NCAA Division I college female athletes (n = 29; 20 +/- 1 year). Body composition was assessed via hydrostatic weighing (HW), air displacement plethysmography (ADP), and dual-energy X-ray absorptiometry (DXA), and estimates of %fat derived using 4-compartment (C), 3C, and 2C models were compared to a criterion 5C model that included bone mineral content, body volume (BV), total body water, and soft tissue mineral. The Wang-4C and the Siri-3C models produced nearly identical values compared to the 5C model (r > 0.99, total error (TE) < 0.40%fat). For the remaining laboratory methods, constant error values (CE) ranged from -0.04%fat (HW-Siri) to -3.71%fat (DXA); r values ranged from 0.89 (ADP-Siri, ADP-Brozek) to 0.93 (DXA); standard error of estimate values ranged from 1.78%fat (DXA) to 2.19%fat (ADP-Siri, ADP-Brozek); and TE values ranged from 2.22%fat (HW-Brozek) to 4.90%fat (DXA). The limits of agreement for DXA (-10.10 to 2.68%fat) were the largest with a significant trend of -0.43 (P < 0.05). With the exception of DXA, all of the equations resulted in acceptable TE values (<3.08%fat). However, the results for individual estimates of %fat using the Brozek equation indicated that the 2C models that derived BV from ADP and HW overestimated (5.38, 3.65%) and underestimated (5.19, 4.88%) %fat, respectively. The acceptable TE values for both HW and ADP suggest that these methods are valid for estimating %fat in college female athletes; however, the Wang-4C and Siri-3C models should be used to identify individual estimates of %fat in this population. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
14396319
Volume :
105
Issue :
1
Database :
Complementary Index
Journal :
European Journal of Applied Physiology
Publication Type :
Academic Journal
Accession number :
35997097
Full Text :
https://doi.org/10.1007/s00421-008-0881-9