Literature DB >> 16686564

Validity of leg-to-leg bioelectrical impedance measurement in highly active women.

Selma Civar1, Abdurrahman Aktop, Evren Tercan, Yeliz Ozdol, Kamil Ozer.   

Abstract

The aim of this study was to compare the validity of the leg-to-leg bioelectrical impedance analysis (BIA) method with that of anthropometry using hydrostatic weighing (HW) as the criterion test. A secondary objective was to cross-validate previously developed anthropometric regression equations as well as to develop a new regression equation formula based on the anthropometric data collected in this study. Three methods for assessing body composition (HW, BIA, and anthropometric) were applied to 60 women university athletes. The means and standard deviations of age, weight, height, and body mass index (BMI) of athletes were as follows: age, 20.70 +/- 1.43; weight, 56.19 +/- 7.83 kg; height, 163.33 +/- 6.11 cm; BMI, 21.01 +/- 2.63 kg x m(-2). Leg-to-leg BIA (11.82 +/- 2.39) has shown no statistical difference between percentage body fat determined by HW (11.63 +/- 2.42%) in highly active women (p > 0.05). This result suggests that the leg-to-leg BIA and HW methods were somewhat interchangeable in highly active women (R = 0.667; standard error of estimate [SEE] = 1.81). As a result of all cross-validation analyses, anthropometric and BIA plus anthropometric results have generally produced lower regression coefficients and higher SEEs for highly active women between the ages of 18 and 25 years. The regression coefficients (0.903, 0.926) and SEE (1.08, 0.96) for the new regression formulas developed from this study were better than the all the other formulas used in this study.

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Year:  2006        PMID: 16686564     DOI: 10.1519/R-15884.1

Source DB:  PubMed          Journal:  J Strength Cond Res        ISSN: 1064-8011            Impact factor:   3.775


  5 in total

1.  Bioelectrical impedance analysis versus reference methods in the assessment of body composition in athletes.

Authors:  Francesco Campa; Luis Alberto Gobbo; Silvia Stagi; Leticia Trindade Cyrino; Stefania Toselli; Elisabetta Marini; Giuseppe Coratella
Journal:  Eur J Appl Physiol       Date:  2022-01-24       Impact factor: 3.078

2.  Dietary patterns and odds of Type 2 diabetes in Beirut, Lebanon: a case-control study.

Authors:  Farah Naja; Nahla Hwalla; Leila Itani; Maya Salem; Sami T Azar; Maya Nabhani Zeidan; Lara Nasreddine
Journal:  Nutr Metab (Lond)       Date:  2012-12-27       Impact factor: 4.169

3.  Comparison of Techniques for Tracking Body Composition Changes across a Season in College Women Basketball Players.

Authors:  Ashley Ploudre; Jana L Arabas; Liz Jorn; Jerry L Mayhew
Journal:  Int J Exerc Sci       Date:  2018-05-01

4.  Body Fat Evaluation in Male Athletes from Combat Sports by Comparing Anthropometric, Bioimpedance, and Dual-Energy X-Ray Absorptiometry Measurements.

Authors:  Marko Dimitrijevic; Verica Paunovic; Vladimir Zivkovic; Sergey Bolevich; Vladimir Jakovljevic
Journal:  Biomed Res Int       Date:  2022-09-05       Impact factor: 3.246

5.  The novel application of artificial neural network on bioelectrical impedance analysis to assess the body composition in elderly.

Authors:  Kuen-Chang Hsieh; Yu-Jen Chen; Hsueh-Kuan Lu; Ling-Chun Lee; Yong-Cheng Huang; Yu-Yawn Chen
Journal:  Nutr J       Date:  2013-02-06       Impact factor: 3.271

  5 in total

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