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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.
Eur J Clin Nutr. 2009 May; 63(5):619-26.EJ

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<0.001).

CONCLUSIONS

In a representative sample of young Swiss children (1) 8-BIA was superior to 4-BIA for the prediction of FFM, (2) external 4-BIA algorithms gave biased predictions of FFM and (3) 8-BIA was an accurate predictor of segmental body composition.

Authors+Show Affiliations

Institute of Exercise and Health Sciences, University of Basel, Basel, Switzerland. susi.kriemler@unibas.chNo affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info available

Pub Type(s)

Journal Article
Research Support, Non-U.S. Gov't
Validation Study

Language

eng

PubMed ID

18285806

Citation

Kriemler, S, et al. "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, 2009, pp. 619-26.
Kriemler S, Puder J, Zahner L, et al. Cross-validation of bioelectrical impedance analysis for the assessment of body composition in a representative sample of 6- to 13-year-old children. Eur J Clin Nutr. 2009;63(5):619-26.
Kriemler, S., Puder, J., Zahner, L., Roth, R., Braun-Fahrländer, C., & 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, 63(5), 619-26. https://doi.org/10.1038/ejcn.2008.19
Kriemler S, et al. Cross-validation of Bioelectrical Impedance Analysis for the Assessment of Body Composition in a Representative Sample of 6- to 13-year-old Children. Eur J Clin Nutr. 2009;63(5):619-26. PubMed PMID: 18285806.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Cross-validation of bioelectrical impedance analysis for the assessment of body composition in a representative sample of 6- to 13-year-old children. AU - Kriemler,S, AU - Puder,J, AU - Zahner,L, AU - Roth,R, AU - Braun-Fahrländer,C, AU - Bedogni,G, Y1 - 2008/02/20/ PY - 2008/2/21/pubmed PY - 2009/6/17/medline PY - 2008/2/21/entrez SP - 619 EP - 26 JF - European journal of clinical nutrition JO - Eur J Clin Nutr VL - 63 IS - 5 N2 - 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<0.001). CONCLUSIONS: In a representative sample of young Swiss children (1) 8-BIA was superior to 4-BIA for the prediction of FFM, (2) external 4-BIA algorithms gave biased predictions of FFM and (3) 8-BIA was an accurate predictor of segmental body composition. SN - 1476-5640 UR - https://www.unboundmedicine.com/medline/citation/18285806/Cross_validation_of_bioelectrical_impedance_analysis_for_the_assessment_of_body_composition_in_a_representative_sample_of_6__to_13_year_old_children_ L2 - https://doi.org/10.1038/ejcn.2008.19 DB - PRIME DP - Unbound Medicine ER -