Prediction of fat-free body mass from bioelectrical impedance and anthropometry among 3-year-old children using DXA

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Prediction of fat-free body mass from bioelectrical impedance and anthropometry among 3-year-old children using DXA. / Ejlerskov, Katrine Tschentscher; Jensen, Signe Marie; Christensen, Line B; Ritz, Christian; Michaelsen, Kim F.; Mølgaard, Christian.

I: Scientific Reports, Bind 4, 3889, 2014.

Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

Harvard

Ejlerskov, KT, Jensen, SM, Christensen, LB, Ritz, C, Michaelsen, KF & Mølgaard, C 2014, 'Prediction of fat-free body mass from bioelectrical impedance and anthropometry among 3-year-old children using DXA', Scientific Reports, bind 4, 3889. https://doi.org/10.1038/srep03889

APA

Ejlerskov, K. T., Jensen, S. M., Christensen, L. B., Ritz, C., Michaelsen, K. F., & Mølgaard, C. (2014). Prediction of fat-free body mass from bioelectrical impedance and anthropometry among 3-year-old children using DXA. Scientific Reports, 4, [3889]. https://doi.org/10.1038/srep03889

Vancouver

Ejlerskov KT, Jensen SM, Christensen LB, Ritz C, Michaelsen KF, Mølgaard C. Prediction of fat-free body mass from bioelectrical impedance and anthropometry among 3-year-old children using DXA. Scientific Reports. 2014;4. 3889. https://doi.org/10.1038/srep03889

Author

Ejlerskov, Katrine Tschentscher ; Jensen, Signe Marie ; Christensen, Line B ; Ritz, Christian ; Michaelsen, Kim F. ; Mølgaard, Christian. / Prediction of fat-free body mass from bioelectrical impedance and anthropometry among 3-year-old children using DXA. I: Scientific Reports. 2014 ; Bind 4.

Bibtex

@article{2b63b500bab34d1f85ca517c2cd035b4,
title = "Prediction of fat-free body mass from bioelectrical impedance and anthropometry among 3-year-old children using DXA",
abstract = "For 3-year-old children suitable methods to estimate body composition are sparse. We aimed to develop predictive equations for estimating fat-free mass (FFM) from bioelectrical impedance (BIA) and anthropometry using dual-energy X-ray absorptiometry (DXA) as reference method using data from 99 healthy 3-year-old Danish children. Predictive equations were derived from two multiple linear regression models, a comprehensive model (height(2)/resistance (RI), six anthropometric measurements) and a simple model (RI, height, weight). Their uncertainty was quantified by means of 10-fold cross-validation approach. Prediction error of FFM was 3.0% for both equations (root mean square error: 360 and 356 g, respectively). The derived equations produced BIA-based prediction of FFM and FM near DXA scan results. We suggest that the predictive equations can be applied in similar population samples aged 2-4 years. The derived equations may prove useful for studies linking body composition to early risk factors and early onset of obesity.",
author = "Ejlerskov, {Katrine Tschentscher} and Jensen, {Signe Marie} and Christensen, {Line B} and Christian Ritz and Michaelsen, {Kim F.} and Christian M{\o}lgaard",
note = "CURIS 2014 NEXS 075",
year = "2014",
doi = "10.1038/srep03889",
language = "English",
volume = "4",
journal = "Scientific Reports",
issn = "2045-2322",
publisher = "nature publishing group",

}

RIS

TY - JOUR

T1 - Prediction of fat-free body mass from bioelectrical impedance and anthropometry among 3-year-old children using DXA

AU - Ejlerskov, Katrine Tschentscher

AU - Jensen, Signe Marie

AU - Christensen, Line B

AU - Ritz, Christian

AU - Michaelsen, Kim F.

AU - Mølgaard, Christian

N1 - CURIS 2014 NEXS 075

PY - 2014

Y1 - 2014

N2 - For 3-year-old children suitable methods to estimate body composition are sparse. We aimed to develop predictive equations for estimating fat-free mass (FFM) from bioelectrical impedance (BIA) and anthropometry using dual-energy X-ray absorptiometry (DXA) as reference method using data from 99 healthy 3-year-old Danish children. Predictive equations were derived from two multiple linear regression models, a comprehensive model (height(2)/resistance (RI), six anthropometric measurements) and a simple model (RI, height, weight). Their uncertainty was quantified by means of 10-fold cross-validation approach. Prediction error of FFM was 3.0% for both equations (root mean square error: 360 and 356 g, respectively). The derived equations produced BIA-based prediction of FFM and FM near DXA scan results. We suggest that the predictive equations can be applied in similar population samples aged 2-4 years. The derived equations may prove useful for studies linking body composition to early risk factors and early onset of obesity.

AB - For 3-year-old children suitable methods to estimate body composition are sparse. We aimed to develop predictive equations for estimating fat-free mass (FFM) from bioelectrical impedance (BIA) and anthropometry using dual-energy X-ray absorptiometry (DXA) as reference method using data from 99 healthy 3-year-old Danish children. Predictive equations were derived from two multiple linear regression models, a comprehensive model (height(2)/resistance (RI), six anthropometric measurements) and a simple model (RI, height, weight). Their uncertainty was quantified by means of 10-fold cross-validation approach. Prediction error of FFM was 3.0% for both equations (root mean square error: 360 and 356 g, respectively). The derived equations produced BIA-based prediction of FFM and FM near DXA scan results. We suggest that the predictive equations can be applied in similar population samples aged 2-4 years. The derived equations may prove useful for studies linking body composition to early risk factors and early onset of obesity.

U2 - 10.1038/srep03889

DO - 10.1038/srep03889

M3 - Journal article

C2 - 24463487

VL - 4

JO - Scientific Reports

JF - Scientific Reports

SN - 2045-2322

M1 - 3889

ER -

ID: 102785308