Literature DB >> 19713013

The bioelectrical impedance vector migration in healthy infants.

Carianne L'Abée1, Petra H Poorts-Borger, Erna H G M Gorter, Antonio Piccoli, Ronald P Stolk, Pieter J J Sauer.   

Abstract

BACKGROUND & AIMS: Detecting young children with high amount of body fat is important to intervene in the development of obesity. The aim of this study is to gain inside in the bioelectrical impedance vector analysis in healthy infants.
METHODS: Repeated measurements of whole body reactance and resistance were assessed, using a 50kHz frequency bioelectrical impedance analysis, in 51 boys and 62 girls during infancy. Bivariate vector analysis, which can be used to determine tissue hydration and soft tissue mass, was conducted. The 95% confidence intervals of the mean vectors for different age groups and the 95%, 75% and 50% tolerance intervals were plotted, using resistance and reactance components standardized by the participant's height.
RESULTS: During infancy impedance vectors changed significantly: A vector migration of the Xc/H of 8.50ohm/m and the R/H of -95.68ohm/m between the age of two months and eight to twelve months (p=0.0001) was observed. Bivariate, reference tolerance intervals of the impedance vectors for healthy infants at the age of two months are presented.
CONCLUSION: Our results show a significant impedance vector migration during the first year of life. New reference tolerance intervals for the second month of life were constructed. Copyright 2009 Elsevier Ltd and European Society for Clinical Nutrition and Metabolism. All rights reserved.

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Year:  2009        PMID: 19713013     DOI: 10.1016/j.clnu.2009.08.007

Source DB:  PubMed          Journal:  Clin Nutr        ISSN: 0261-5614            Impact factor:   7.324


  5 in total

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Authors:  L Nescolarde; H Lukaski; A De Lorenzo; B de-Mateo-Silleras; M P Redondo-Del-Río; M A Camina-Martín
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Review 2.  Body composition assessment in the infant.

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Authors:  Márcia Marília Gomes Dantas; Érika Dantas Medeiros Rocha; Naira Josele Neves Brito; Camila Xavier Alves; Mardone Cavalcante França; Maria das Graças Almeida; José Brandão-Neto
Journal:  Food Nutr Res       Date:  2015-09-29       Impact factor: 3.894

4.  Accuracy of specific BIVA for the assessment of body composition in the United States population.

Authors:  Roberto Buffa; Bruno Saragat; Stefano Cabras; Andrea C Rinaldi; Elisabetta Marini
Journal:  PLoS One       Date:  2013-03-06       Impact factor: 3.240

5.  Nutritional assessment methods for zinc supplementation in prepubertal non-zinc-deficient children.

Authors:  Márcia Marília Gomes Dantas Lopes; Naira Josele Neves de Brito; Érika Dantas de Medeiros Rocha; Mardone Cavalcante França; Maria das Graças de Almeida; José Brandão-Neto
Journal:  Food Nutr Res       Date:  2015-10-26       Impact factor: 3.894

  5 in total

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