Literature DB >> 18936958

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

Jordan R Moon1, Joan M Eckerson, Sarah E Tobkin, Abbie E Smith, Christopher M Lockwood, Ashley A Walter, Joel T Cramer, Travis W Beck, Jeffrey R Stout.   

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.

Entities:  

Mesh:

Year:  2008        PMID: 18936958     DOI: 10.1007/s00421-008-0881-9

Source DB:  PubMed          Journal:  Eur J Appl Physiol        ISSN: 1439-6319            Impact factor:   3.078


  33 in total

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

Authors:  D A Fields; G D Wilson; L B Gladden; G R Hunter; D D Pascoe; M I Goran
Journal:  Med Sci Sports Exerc       Date:  2001-09       Impact factor: 5.411

2.  Evaluation of the BOD POD for estimating percent fat in female college athletes.

Authors:  Jason D Vescovi; Leslie Hildebrandt; Wayne Miller; Roger Hammer; Amanda Spiller
Journal:  J Strength Cond Res       Date:  2002-11       Impact factor: 3.775

3.  Body composition and Vo2max of exceptional weight-trained athletes.

Authors:  T D Fahey; L Akka; R Rolph
Journal:  J Appl Physiol       Date:  1975-10       Impact factor: 3.531

Review 4.  Human body composition: in vivo methods.

Authors:  K J Ellis
Journal:  Physiol Rev       Date:  2000-04       Impact factor: 37.312

5.  Impact of total body water fluctuations on estimation of body fat from body density.

Authors:  J C Bunt; T G Lohman; R A Boileau
Journal:  Med Sci Sports Exerc       Date:  1989-02       Impact factor: 5.411

Review 6.  Applicability of body composition techniques and constants for children and youths.

Authors:  T G Lohman
Journal:  Exerc Sport Sci Rev       Date:  1986       Impact factor: 6.230

7.  Statistical methods for assessing agreement between two methods of clinical measurement.

Authors:  J M Bland; D G Altman
Journal:  Lancet       Date:  1986-02-08       Impact factor: 79.321

8.  Validity of methods of body composition assessment in young and older men and women.

Authors:  J L Clasey; J A Kanaley; L Wideman; S B Heymsfield; C D Teates; M E Gutgesell; M O Thorner; M L Hartman; A Weltman
Journal:  J Appl Physiol (1985)       Date:  1999-05

9.  Dual-photon absorptiometry: comparison of bone mineral and soft tissue mass measurements in vivo with established methods.

Authors:  S B Heymsfield; J Wang; S Heshka; J J Kehayias; R N Pierson
Journal:  Am J Clin Nutr       Date:  1989-06       Impact factor: 7.045

10.  Usefulness of different techniques for measuring body composition changes during weight loss in overweight and obese women.

Authors:  Cláudia S Minderico; Analiza M Silva; Kathleen Keller; Teresa L Branco; Sandra S Martins; António L Palmeira; José T Barata; Elvis A Carnero; Paulo M Rocha; Pedro J Teixeira; Luís B Sardinha
Journal:  Br J Nutr       Date:  2007-09-26       Impact factor: 3.718

View more
  14 in total

1.  Utility of ultrasound for body fat assessment: validity and reliability compared to a multicompartment criterion.

Authors:  Abbie E Smith-Ryan; Malia N M Blue; Eric T Trexler; Katie R Hirsch
Journal:  Clin Physiol Funct Imaging       Date:  2016-12-16       Impact factor: 2.273

2.  Agreement Between A 2-Dimensional Digital Image-Based 3-Compartment Body Composition Model and Dual Energy X-Ray Absorptiometry for The Estimation of Relative Adiposity.

Authors:  Katherine Sullivan; Casey J Metoyer; Bjoern Hornikel; Clifton J Holmes; Brett S Nickerson; Michael R Esco; Michael V Fedewa
Journal:  J Clin Densitom       Date:  2021-09-24       Impact factor: 2.963

3.  Proportional bias of multifrequency bioimpedance analysis is larger in Hispanic females than males.

Authors:  Brett S Nickerson; Ronald L Snarr
Journal:  Nutr Res       Date:  2022-03-26       Impact factor: 3.876

4.  Effect of protein/essential amino acids and resistance training on skeletal muscle hypertrophy: A case for whey protein.

Authors:  Juha J Hulmi; Christopher M Lockwood; Jeffrey R Stout
Journal:  Nutr Metab (Lond)       Date:  2010-06-17       Impact factor: 4.169

5.  Generalized Equations for Predicting Percent Body Fat from Anthropometric Measures Using a Criterion Five-Compartment Model.

Authors:  Zackary S Cicone; Brett S Nickerson; Youn-Jeng Choi; Clifton J Holmes; Bjoern Hornikel; Michael V Fedewa; Michael R Esco
Journal:  Med Sci Sports Exerc       Date:  2021-12-01       Impact factor: 5.411

6.  Bone mineral density in elite adolescent female figure skaters.

Authors:  Kathy Prelack; Johanna Dwyer; Paula Ziegler; Joseph J Kehayias
Journal:  J Int Soc Sports Nutr       Date:  2012-12-27       Impact factor: 5.150

7.  Combining Anthropometry and Bioelectrical Impedance Analysis to Predict Body Fat in Female Athletes.

Authors:  Douglas M Foote; Max Berkelhammer; Jane Marone; Craig A Horswill
Journal:  J Athl Train       Date:  2022-04-01       Impact factor: 3.824

8.  Detecting body fat-A weighty problem BMI versus subcutaneous fat patterns in athletes and non-athletes.

Authors:  Renate Kruschitz; Sandra J Wallner-Liebmann; Michael J Hamlin; Maximilian Moser; Bernhard Ludvik; Wolfgang J Schnedl; Erwin Tafeit
Journal:  PLoS One       Date:  2013-08-26       Impact factor: 3.240

9.  Reproducibility and validity of A-mode ultrasound for body composition measurement and classification in overweight and obese men and women.

Authors:  Abbie E Smith-Ryan; Sarah N Fultz; Malia N Melvin; Hailee L Wingfield; Mary N Woessner
Journal:  PLoS One       Date:  2014-03-11       Impact factor: 3.240

10.  Accuracy of a Mobile 2D Imaging System for Body Volume and Subsequent Composition Estimates in a Three-Compartment Model.

Authors:  Michael V Fedewa; Katherine Sullivan; Bjoern Hornikel; Clifton J Holmes; Casey J Metoyer; Michael R Esco
Journal:  Med Sci Sports Exerc       Date:  2021-05-01       Impact factor: 5.411

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.