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Cross-validation of bioelectrical impedance analysis for the assessment of body composition in a representative sample of 6- to 13-year-old children

Kriemler, S. and Puder, J. and Zahner, L. and Roth, R. and Braun-Fahrländer C., and Bedogni, G.. (2009) Cross-validation of bioelectrical impedance analysis for the assessment of body composition in a representative sample of 6- to 13-year-old children. European journal of clinical nutrition, Vol. 63, no. 5. S. 619-626.

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Official URL: http://edoc.unibas.ch/dok/A5253322

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Abstract

BACKGROUND/OBJECTIVES: (1) To cross-validate tetra- (4-BIA) and octopolar (8-BIA) bioelectrical impedance analysis vs dual-energy X-ray absorptiometry (DXA) for the assessment of total and appendicular body composition and (2) to evaluate the accuracy of external 4-BIA algorithms for the prediction of total body composition, in a representative sample of Swiss children. SUBJECTS/METHODS: A representative sample of 333 Swiss children aged 6-13 years from the Kinder-Sportstudie (KISS) (ISRCTN15360785). Whole-body fat-free mass (FFM) and appendicular lean tissue mass were measured with DXA. Body resistance (R) was measured at 50 kHz with 4-BIA and segmental body resistance at 5, 50, 250 and 500 kHz with 8-BIA. The resistance index (RI) was calculated as height(2)/R. Selection of predictors (gender, age, weight, RI4 and RI8) for BIA algorithms was performed using bootstrapped stepwise linear regression on 1000 samples. We calculated 95% confidence intervals (CI) of regression coefficients and measures of model fit using bootstrap analysis. Limits of agreement were used as measures of interchangeability of BIA with DXA. RESULTS: 8-BIA was more accurate than 4-BIA for the assessment of FFM (root mean square error (RMSE)=0.90 (95% CI 0.82-0.98) vs 1.12 kg (1.01-1.24); limits of agreement 1.80 to -1.80 kg vs 2.24 to -2.24 kg). 8-BIA also gave accurate estimates of appendicular body composition, with RMSE > or = 0.10 kg for arms and > or = 0.24 kg for legs. All external 4-BIA algorithms performed poorly with substantial negative proportional bias (r< or = 0.48, P
Faculties and Departments:03 Faculty of Medicine > Bereich Medizinische Fächer (Klinik) > Endokrinologie / Diabetologie
03 Faculty of Medicine > Departement Klinische Forschung > Bereich Medizinische Fächer (Klinik) > Endokrinologie / Diabetologie
03 Faculty of Medicine > Departement Sport, Bewegung und Gesundheit > Bereich Sport- und Bewegungsmedizin > Sportmedizin (Schmidt-Trucksäss)
03 Faculty of Medicine > Departement Public Health > Sozial- und Präventivmedizin
09 Associated Institutions > Swiss Tropical and Public Health Institute (Swiss TPH) > Department of Epidemiology and Public Health (EPH) > Environmental Exposures and Health > Physical Hazards and Health (Röösli)
03 Faculty of Medicine > Departement Sport, Bewegung und Gesundheit > Bereich Bewegungs- und Trainingswissenschaft > Trainingswissenschaften (Zahner)
UniBasel Contributors:Braun-Fahrländer, Charlotte and Zahner, Lukas and Kriemler, Susi and Puder, Jardena
Item Type:Article, refereed
Bibsysno:Link to catalogue
Publisher:Nature Publishing Group
ISSN:0954-3007
Note:Publication type according to Uni Basel Research Database: Journal article
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Last Modified:01 Feb 2013 08:40
Deposited On:22 Mar 2012 13:38

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