Literature DB >> 9877148

Reliability and concurrent validity of Futrex and bioelectrical impedance.

P Vehrs1, J R Morrow, N Butte.   

Abstract

Thirty Caucasian males (aged 19-32yr) participated in this study designed to investigate the reliability of multiple bioelectrical impedance analysis (BIA) and near-infrared spectroscopy (Futrex, FTX) measurements and the validity of BIA and FTX estimations of hydrostatically (UW) determined percent body fat (%BF). Two BIA and two FTX instruments were used to make 6 measurements each of resistance (R) and optical density (OD) respectively over a 30 min period on two consecutive days. Repeated measures ANOVA indicated that FTX and BIA, using manufacturer's equations, significantly (p<0.01) under predicted UW by 2.4 and 3.8%BF respectively. Standard error of estimate (SEE) and total error (TE) terms provided by regression analysis for FTX (4.6 and 5.31%BF respectively) and BIA (5.65 and 6.95%BF, respectively) were high. Dependent t-tests revealed no significant differences in either FTX or BIA predictions of %BF using two machines. Intraclass reliabilities for BIA and FTX estimates of UW %BF across trials, days, and machines all exceeded 0.97. A significant random error term associated with FTX and a significant subject-by-day interaction associated with BIA was revealed using the generalizability model. Although FTX and BIA estimates of UW %BF were reliable, due to the significant underestimation of UW %BF and high SEE and TE, neither FTX nor BIA were considered valid estimates of hydrostatically determined %BF.

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Year:  1998        PMID: 9877148     DOI: 10.1055/s-2007-971960

Source DB:  PubMed          Journal:  Int J Sports Med        ISSN: 0172-4622            Impact factor:   3.118


  2 in total

1.  Body composition: A predictive factor of cycle fecundity.

Authors:  Semra Kayatas; Aysen Boza; Murat Api; Didar Kurt; Mustafa Eroglu; Sevcan Arzu Arınkan
Journal:  Clin Exp Reprod Med       Date:  2014-06-30

2.  Percent body fat estimations in college men using field and laboratory methods: a three-compartment model approach.

Authors:  Jordan R Moon; Sarah E Tobkin; Abbie E Smith; Michael D Roberts; Eric D Ryan; Vincent J Dalbo; Chris M Lockwood; Ashley A Walter; Joel T Cramer; Travis W Beck; Jeffrey R Stout
Journal:  Dyn Med       Date:  2008-04-21
  2 in total

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