Literature DB >> 15970945

Interdevice variability in percent fat estimates using the BOD POD.

S D Ball1.   

Abstract

OBJECTIVE: To evaluate interdevice reliability in body density (Db) and percent body fat (%BF) using air-displacement plethysmography, the BOD POD (BP) body composition system. DESIGN AND
SETTING: Duplicate body composition tests were performed in immediate succession on 50 adults (26 M, 24 F; 21-53 y) using two BP units located in the same body composition laboratory.
RESULTS: Mean Db and %BF between BP1 and BP2 did not differ significantly for men (DeltaDb = 0.0003+/-0.0008 g/ml, P = 0.632; Delta%BF = 0.1+/-1.3, P = 0.665), while for women, there were small but significant differences in Db and %BF between BP1 and BP2 (DeltaDb = 0.0018+/-0.0003 g/ml, P = 0.001; Delta%BF = 0.8+/-1.1, P = 0.001). The regression between %BF by BP1 and BP2 did not deviate significantly from the line of identity for both men and women (R2 = 0.95, standard error of estimate (s.e.e.) = 1.23 %BF for men; R2 = 0.97, s.e.e = 1.13 %BF for women). Individual variations in %BF estimates between the two BP units were within acceptable ranges (95% limits of agreement = -2.5-2.7 %BF for men; -1.4-3.0 %BF for women), and there was no trend in individual differences as %BF varied (r = -0.19, P = 0.359 for men; r = 0.09, P = 0.677 for women). Other subject characteristics, including age, body mass, height, and body mass index, did not significantly contribute to the differences in %BF estimates by the two BP units.
CONCLUSIONS: No clinically significant differences in Db and %BF estimates exist between the BP units, and the interdevice variability of the BP has minimal impact on %BF estimates. Further, test-to-test reliability between BP units appears to be as good as within one unit.

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Year:  2005        PMID: 15970945     DOI: 10.1038/sj.ejcn.1602202

Source DB:  PubMed          Journal:  Eur J Clin Nutr        ISSN: 0954-3007            Impact factor:   4.016


  4 in total

1.  Subject positioning in the BOD POD® only marginally affects measurement of body volume and estimation of percent body fat in young adult men.

Authors:  Maarten W Peeters
Journal:  PLoS One       Date:  2012-03-26       Impact factor: 3.240

2.  Growth and metabolic outcome in adolescents born preterm (GROWMORE): follow-up protocol for the Newcastle Preterm Birth GRowth study (PTBGS).

Authors:  Claire L Wood; Robert J Tinnion; S Murthy Korada; Timothy D Cheetham; Caroline L Relton; Richard J Cooke; Mark S Pearce; Kieren G Hollingsworth; Michael I Trenell; Nicholas D Embleton
Journal:  BMC Pediatr       Date:  2013-12-20       Impact factor: 2.125

3.  The Evaluation of a Circumference-based Prediction Equation to Assess Body Composition Changes in Men.

Authors:  John M Schuna; Sarah J Hilgers; Trista L Manikowske; Jared M Tucker; Gary Liguori
Journal:  Int J Exerc Sci       Date:  2013-07-01

4.  Fitness Level Influences White Matter Microstructure in Postmenopausal Women.

Authors:  Diana Harasym; Claudia V Turco; Chiara Nicolini; Stephen L Toepp; E Madison Jenkins; Martin J Gibala; Michael D Noseworthy; Aimee J Nelson
Journal:  Front Aging Neurosci       Date:  2020-05-29       Impact factor: 5.750

  4 in total

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