Literature DB >> 10232629

Four-component model of body composition in children: density and hydration of fat-free mass and comparison with simpler models.

J C Wells1, N J Fuller, O Dewit, M S Fewtrell, M Elia, T J Cole.   

Abstract

BACKGROUND: Body composition in children is generally measured by 2-component (2C) models, which are subject to error arising from variation in fat-free mass (FFM) composition. The 4-component (4C) model, which divides body weight into fat, water, mineral, and protein, can overcome these limitations.
OBJECTIVE: The aims of our study were to 1) describe 4C model data for children aged 8-12 y; 2) evaluate interindividual variability in the hydration, bone mineral content, and density of FFM; 3) evaluate the success with which 2C models and bedside techniques measure body composition in this age group with use of the 4C model as a reference.
DESIGN: Dual-energy X-ray absorptiometry, underwater weighing, deuterium dilution, bioelectrical impedance analysis, and anthropometry were used to determine body composition in 30 children. The contribution of methodologic error to the observed variability in the hydration and density of FFM was evaluated by using propagation of error.
RESULTS: Mean (+/-SD) FFM density and hydration were 1.0864+/-0.0074 kg/L and 75.3+/-2.2%, respectively, and were significantly different from adult values (P < 0.02). Relative to the 4C model, deuterium dilution and dual-energy X-ray absorptiometry showed no mean bias for fatness, whereas underwater weighing underestimated fatness (P < 0.025). Fatness determined by using skinfold-thickness and bioelectrical impedance analysis measurements along with published equations showed poor agreement with 4C model data.
CONCLUSIONS: Biological variability and methodologic error contribute equally to the variability of FFM composition. Our findings have major implications for bedside prediction methods used for children, traditionally developed in relation to underwater weighing.

Entities:  

Mesh:

Year:  1999        PMID: 10232629     DOI: 10.1093/ajcn/69.5.904

Source DB:  PubMed          Journal:  Am J Clin Nutr        ISSN: 0002-9165            Impact factor:   7.045


  61 in total

1.  Whole body air displacement plethysmography compared with hydrodensitometry for body composition analysis.

Authors:  O Dewit; N J Fuller; M S Fewtrell; M Elia; J C Wells
Journal:  Arch Dis Child       Date:  2000-02       Impact factor: 3.791

2.  The use of beta-adrenergic blockade in preventing trauma-induced hepatomegaly.

Authors:  Robert E Barrow; Robert R Wolfe; Mohan R Dasu; Laura N Barrow; David N Herndon
Journal:  Ann Surg       Date:  2006-01       Impact factor: 12.969

Review 3.  Measuring body composition.

Authors:  J C K Wells; M S Fewtrell
Journal:  Arch Dis Child       Date:  2006-07       Impact factor: 3.791

4.  Estimates of body fat in children by Hologic QDR-2000 and QDR-4500A dual-energy X-ray absorptiometers compared with deuterium dilution.

Authors:  Delphine R Robotham; Dale A Schoeller; Arlene B Mercado; Margaret C Mirch; Kelly R Theim; James C Reynolds; Jack A Yanovski
Journal:  J Pediatr Gastroenterol Nutr       Date:  2006-03       Impact factor: 2.839

5.  Assessment of Child Anthropometry in a Large Epidemiologic Study.

Authors:  Amy L Louer; Denise N Simon; Karen M Switkowski; Sheryl L Rifas-Shiman; Matthew W Gillman; Emily Oken
Journal:  J Vis Exp       Date:  2017-02-02       Impact factor: 1.355

6.  Evaluating body composition in infancy and childhood: A comparison between 4C, QMR, DXA, and ADP.

Authors:  Melissa E Heard-Lipsmeyer; Holly Hull; Clark R Sims; Mario A Cleves; Aline Andres
Journal:  Pediatr Obes       Date:  2020-01-27       Impact factor: 4.000

Review 7.  Body composition during growth in children: limitations and perspectives of bioelectrical impedance analysis.

Authors:  U G Kyle; C P Earthman; C Pichard; J A Coss-Bu
Journal:  Eur J Clin Nutr       Date:  2015-06-03       Impact factor: 4.016

8.  Effect of the melanocortin-3 receptor Thr6Lys and Val81Ile genetic variants on body composition and substrate oxidation in Chilean obese children.

Authors:  Ana M Obregón; Erik Diaz; Jose L Santos
Journal:  J Physiol Biochem       Date:  2011-10-08       Impact factor: 4.158

9.  A prospective, longitudinal study of growth, nutrition and sedentary behaviour in young children with cerebral palsy.

Authors:  Kristie L Bell; Roslyn N Boyd; Sean M Tweedy; Kelly A Weir; Richard D Stevenson; Peter S W Davies
Journal:  BMC Public Health       Date:  2010-04-06       Impact factor: 3.295

10.  Evaluation of DXA against the four-component model of body composition in obese children and adolescents aged 5-21 years.

Authors:  J C K Wells; D Haroun; J E Williams; C Wilson; T Darch; R M Viner; S Eaton; M S Fewtrell
Journal:  Int J Obes (Lond)       Date:  2010-01-12       Impact factor: 5.095

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.