Literature DB >> 11528352

Comparison of the BOD POD with the four-compartment model in adult females.

D A Fields1, G D Wilson, L B Gladden, G R Hunter, D D Pascoe, M I Goran.   

Abstract

PURPOSE: This study was designed to compare the accuracy and bias in estimates of total body density (Db) by hydrostatic weighing (HW) and the BOD POD, and percent body fat (%fat) by the BOD POD with the four-compartment model (4C model) in 42 adult females. Furthermore, the role of the aqueous and mineral fractions in the estimation of body fat by the BOD POD was examined.
METHODS: Total body water was determined by isotope dilution ((2)H(2)0) and bone mineral was determined by dual-energy x-ray absorptiometry. Db and %fat were determined by the BOD POD and HW. The 4C model of Baumgartner was used as the criterion measure of body fat.
RESULTS: HW Db (1.0352 g x cm(-3)) was not statistically different (P = 0.35) from BOD POD Db (1.0349 g x cm(-3)). The regression between Db by HW and the BOD POD significantly deviated from the line of identity (Db by HW = 0.90 x Db by BOD POD + 0.099; R(2) = 0.94). BOD POD %fat (28.8%) was significantly lower (P < 0.01) than %fat by the 4C model (30.6%). The regression between %fat by the 4C model and the BOD POD significantly deviated from the line of identity (%fat by 4C model = 0.88 x %fat by BOD POD + 5.41%; R(2) = 0.92). BOD POD Db and %fat showed no bias across the range of fatness. Only the aqueous fraction of the fat-free mass (FFM) had a significant correlation with the difference in %fat between the 4C model and the BOD POD.
CONCLUSION: These data indicate that the BOD POD underpredicted body fat as compared with the 4C model, and the aqueous fraction of the FFM had a significant effect on estimates of %fat by the BOD POD.

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Year:  2001        PMID: 11528352     DOI: 10.1097/00005768-200109000-00026

Source DB:  PubMed          Journal:  Med Sci Sports Exerc        ISSN: 0195-9131            Impact factor:   5.411


  10 in total

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Review 2.  Multi-component molecular-level body composition reference methods: evolving concepts and future directions.

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3.  Measurement of body composition changes with weight loss in postmenopausal women: comparison of methods.

Authors:  A K Mahon; M G Flynn; H B Iglay; L K Stewart; C A Johnson; B K McFarlin; W W Campbell
Journal:  J Nutr Health Aging       Date:  2007 May-Jun       Impact factor: 4.075

4.  Comparison of air displacement plethysmography to hydrostatic weighing for estimating total body density in children.

Authors:  Geo Claros; Holly R Hull; David A Fields
Journal:  BMC Pediatr       Date:  2005-09-09       Impact factor: 2.125

5.  A 4-compartment model based validation of air displacement plethysmography, dual energy X-ray absorptiometry, skinfold technique & bio-electrical impedance for measuring body fat in Indian adults.

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Review 7.  Validity of Body-Composition Methods across Racial and Ethnic Populations.

Authors:  Malia N M Blue; Grant M Tinsley; Eric D Ryan; Abbie E Smith-Ryan
Journal:  Adv Nutr       Date:  2021-10-01       Impact factor: 8.701

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

Authors:  Jordan R Moon; Holly R Hull; Sarah E Tobkin; Masaru Teramoto; Murat Karabulut; Michael D Roberts; Eric D Ryan; So Jung Kim; Vincent J Dalbo; Ashley A Walter; Abbie T Smith; Joel T Cramer; Jeffrey R Stout
Journal:  J Int Soc Sports Nutr       Date:  2007-11-07       Impact factor: 5.150

9.  An Evaluation of the Pea Pod System for Assessing Body Composition of Moderately Premature Infants.

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10.  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
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  10 in total

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