Literature DB >> 22252106

Is a single bioelectrical impedance equation valid for children of wide ranges of age, pubertal status and nutritional status? Evidence from the 4-component model.

C Montagnese1, J E Williams, D Haroun, M Siervo, M S Fewtrell, J C K Wells.   

Abstract

BACKGROUND/
OBJECTIVES: Bioelectrical impedance analysis (BIA) is widely used to predict body composition in paediatric research and clinical practice. Many equations have been published, but provide inconsistent predictions. AIMS: To test whether a single equation for lean mass (LM) estimation from BIA is appropriate across wide ranges of age, pubertal status and nutritional status, by testing whether specific groups differ in the slope or intercept of the equation. SUBJECTS/
METHODS: In 547 healthy individuals aged 4-24 years (240 males), we collected data on body mass (BM) and height (HT), and lean mass (LM) using the 4-component model. Impedance (Z) was measured using TANITA BC418MA instrumentation. LM was regressed on HT(2)/Z. Multiple regression analysis was conducted to investigate whether groups based on gender, age, pubertal status or nutritional status differed in the association of LM with HT(2)/Z.
RESULTS: BM ranged from 5 to 128 kg. HT(2)/Z was a strong predictor of LM (r (2)=0.953, s.e.e.=2.9 kg). There was little evidence of a sex difference in this relationship, however, children aged 4-7 years and 16-19 years differed significantly from other age groups in regression slopes and intercepts. Similar variability was encountered for pubertal stage, but not for nutritional status.
CONCLUSIONS: No single BIA equation applies across the age range 4-24 years. At certain ages or pubertal stages, the slope and intercept of the equation relating LM to HT(2)/Z alters. Failure to address such age effects is likely to result in poor accuracy of BIA (errors of several kg) for longitudinal studies of change in body composition.

Entities:  

Mesh:

Year:  2012        PMID: 22252106     DOI: 10.1038/ejcn.2011.213

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


  9 in total

Review 1.  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

2.  The Validity of Bioelectrical Impedance Analysis to Measure Body Composition in Phenylketonuria.

Authors:  Maureen Evans; Kay Nguo; Avihu Boneh; Helen Truby
Journal:  JIMD Rep       Date:  2017-11-24

3.  Calibration of bioelectrical impedance analysis for body composition assessment in Ethiopian infants using air-displacement plethysmography.

Authors:  R Wibæk; P Kæstel; S R Skov; D L Christensen; T Girma; J C K Wells; H Friis; G S Andersen
Journal:  Eur J Clin Nutr       Date:  2015-04-01       Impact factor: 4.016

4.  Body composition in Nepalese children using isotope dilution: the production of ethnic-specific calibration equations and an exploration of methodological issues.

Authors:  Delan Devakumar; Carlos S Grijalva-Eternod; Sebastian Roberts; Shiva Shankar Chaube; Naomi M Saville; Dharma S Manandhar; Anthony Costello; David Osrin; Jonathan C K Wells
Journal:  PeerJ       Date:  2015-03-03       Impact factor: 2.984

5.  Ethnic variability in body size, proportions and composition in children aged 5 to 11 years: is ethnic-specific calibration of bioelectrical impedance required?

Authors:  Simon Lee; Vassiliki Bountziouka; Sooky Lum; Janet Stocks; Rachel Bonner; Mitesh Naik; Helen Fothergill; Jonathan C K Wells
Journal:  PLoS One       Date:  2014-12-05       Impact factor: 3.240

6.  Body Fat Measurements in Singaporean Adults Using Four Methods.

Authors:  Xinyan Bi; Yi Ting Loo; Christiani Jeyakumar Henry
Journal:  Nutrients       Date:  2018-03-05       Impact factor: 5.717

7.  Use of fat mass and fat free mass standard deviation scores obtained using simple measurement methods in healthy children and patients: comparison with the reference 4-component model.

Authors:  Rachel R Atherton; Jane E Williams; Jonathan C K Wells; Mary S Fewtrell
Journal:  PLoS One       Date:  2013-05-17       Impact factor: 3.240

8.  Bioelectrical impedance analysis to estimate body composition, and change in adiposity, in overweight and obese adolescents: comparison with dual-energy x-ray absorptiometry.

Authors:  Ching S Wan; Leigh C Ward; Jocelyn Halim; Megan L Gow; Mandy Ho; Julie N Briody; Kelvin Leung; Chris T Cowell; Sarah P Garnett
Journal:  BMC Pediatr       Date:  2014-10-03       Impact factor: 2.125

9.  Utility of specific bioelectrical impedance vector analysis for the assessment of body composition in children.

Authors:  Jonathan Ck Wells; Jane E Williams; Leigh C Ward; Mary S Fewtrell
Journal:  Clin Nutr       Date:  2020-07-31       Impact factor: 7.324

  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.