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Accuracy In Body Composition Assessment With Three Different Methods Compared To Dexa

The purpose of this study was to investigate differences among the percent
body fat (%BF) values of Turkish sedentary male and female university students
measured by dual-energy x-ray absorptiometry (DEXA), skinfold (SKF), ultrasound
(US) and hand to hand bioelectrical impedance analysis (BIA). Two hundred eight
Turkish university students (one hundred four males and one hundred four females)
aged between 18 to 26 years old participants participated in this study voluntarily.
%BF assessment was performed by the SKF, US, BIA and DEXA methods.
Differences among DEXA, SKF, US and BIA were examined by applying a series of
paired-t test. Multiple regression analyses were conducted to developed regression
equations to predict %BF from SKF and US measurements. Results demonstrated
that there were significant differences between DEXA and SKF, US, and BIA
measurements for males and females. The mean %BF derived from DEXA was
significantly (p&lt / .001) greater than those of SKF, US and BIA for males and females.
Multiple regression analyses showed that SKF and US measurement of subcutaneous
fat at three-sites gave the best prediction to %BF for male and female separately. The
multiple correlations using three sites simultaneously for men and women were
r=0.92, SEE=2.4 and r=0.91, SEE=2.8 for SKF and r=0.93, SEE=2.3 and r=0.90,
SEE=3.0 for US, respectively. In summary, with the new regression equation US
appears to be a reliable, portable, and non-invasive tool which can be used by any
field investigator on obese or thin individuals. Finally, new regression equations
developed do not seem to be superior to those reported using calipers.

Identiferoai:union.ndltd.org:METU/oai:etd.lib.metu.edu.tr:http://etd.lib.metu.edu.tr/upload/12604942/index.pdf
Date01 January 2003
CreatorsDuz, Serkan
ContributorsKorkusuz, Feza
PublisherMETU
Source SetsMiddle East Technical Univ.
LanguageEnglish
Detected LanguageEnglish
TypeM.S. Thesis
Formattext/pdf
RightsTo liberate the content for public access

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