Literature DB >> 20594393

Reference distribution of the bioelectrical impedance vector in healthy term newborns.

Ana V B Margutti1, Jacqueline P Monteiro, José S Camelo.   

Abstract

Bioelectrical impedance vector analysis (BIVA) is a new method that is used for the routine monitoring of the variation in body fluids and nutritional status with assumptions regarding body composition values. The aim of the present study was to determine bivariate tolerance intervals of the whole-body impedance vector and to describe phase angle (PA) values for healthy term newborns aged 7-28 d. This descriptive cross-sectional study was conducted on healthy term neonates born at a low-risk public maternity. General and anthropometric neonatal data and bioelectrical impedance data (800 μA-50 kHz) were obtained. Bivariate vector analysis was conducted with the resistance-reactance (RXc) graph method. The BIVA software was used to construct the graphs. The study was conducted on 109 neonates (52.3% females) who were born at term, adequate for gestational age, exclusively breast-fed and aged 13 (SD 3.6) d. We constructed one standard, reference, RXc-score graph and RXc-tolerance ellipses (50, 75 and 95%) that can be used with any analyser. Mean PA was 3.14 (SD 0.43)° (3.12 (SD 0.39)° for males and 3.17 (SD 0.48)° for females). Considering the overlapping of ellipses of males and females with the general distribution, a graph for newborns aged 7-28 d with the same reference tolerance ellipse was defined for boys and girls. The results differ from those reported in the literature probably, in part, due to the ethnic differences in body composition. BIVA and PA permit an assessment without the need to know body weight and the prediction error of conventional impedance formulas.

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Year:  2010        PMID: 20594393     DOI: 10.1017/S000711451000245X

Source DB:  PubMed          Journal:  Br J Nutr        ISSN: 0007-1145            Impact factor:   3.718


  5 in total

1.  Different displacement of bioimpedance vector due to Ag/AgCl electrode effect.

Authors:  L Nescolarde; H Lukaski; A De Lorenzo; B de-Mateo-Silleras; M P Redondo-Del-Río; M A Camina-Martín
Journal:  Eur J Clin Nutr       Date:  2016-07-06       Impact factor: 4.016

Review 2.  Body composition assessment in the infant.

Authors:  Ellen W Demerath; David A Fields
Journal:  Am J Hum Biol       Date:  2014-01-15       Impact factor: 1.937

3.  Bioimpedance vector pattern in Taiwanese and Polish college students detected by bioelectric impedance vector analysis: preliminary observations.

Authors:  Teresa Malecka-Massalska; Agata Smolen; Elzbieta Madro; Wojciech Surtel
Journal:  ScientificWorldJournal       Date:  2012-04-19

4.  Bioelectrical impedance vector analysis for evaluating zinc supplementation in prepubertal and healthy children.

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

5.  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 in total

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