Literature DB >> 16261389

Estimation of maximal oxygen uptake by bioelectrical impedance analysis.

Alexander Stahn1, Elmarie Terblanche, Sven Grunert, Günther Strobel.   

Abstract

Previous non-exercise models for the prediction of maximal oxygen uptake VO(2max) have failed to accurately discriminate cardiorespiratory fitness within large cohorts. The aim of the present study was to evaluate the feasibility of a completely indirect method for predicting VO(2max) that was based on bioelectrical impedance analysis (BIA) in 66 young, healthy fit men and women. Multiple, stepwise regression analysis was used to determine the usefulness of BIA and additional covariates to estimate VO(2max) (ml min(-1)). BIA was highly correlated to VO(2max) (r = 0.914; P < 0.001) and entered the regression equation first. The inclusion of gender and a physical activity rating further improved the model which accounted for 88% of the variance in VO(2max) and resulted in a relative standard error of the estimate (SEE) of 7.2%. Substantial agreement between the methods was confirmed by the fact that nearly all the differences were within +/-2 SD. Furthermore, in contrast to previously published non-exercise models, no trend of a reduction in prediction accuracy with increasing VO(2max) values was apparent. It was concluded that a non-exercise model based on BIA might be a rapid and useful technique to estimate VO(2max), when a direct test does not seem feasible. However, though the present results are useful to determine the viability of the method, further refinement of the BIA approach and its validation in a large, diverse population is needed before it can be applied to the clinical and epidemiological settings.

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Year:  2005        PMID: 16261389     DOI: 10.1007/s00421-005-0025-4

Source DB:  PubMed          Journal:  Eur J Appl Physiol        ISSN: 1439-6319            Impact factor:   3.078


  51 in total

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Journal:  Ann N Y Acad Sci       Date:  2000-05       Impact factor: 5.691

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Authors:  M J Joyner
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Journal:  Eur J Clin Nutr       Date:  1989-11       Impact factor: 4.016

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Journal:  Am J Hum Biol       Date:  1995       Impact factor: 1.937

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Journal:  Eur Heart J       Date:  1988-11       Impact factor: 29.983

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Authors:  M Dittmar; H Reber
Journal:  Am J Physiol Endocrinol Metab       Date:  2001-11       Impact factor: 4.310

7.  Nonexercise model fails to predict aerobic capacity in college students with high VO2 peak.

Authors:  F W Kolkhorst; F A Dolgener
Journal:  Res Q Exerc Sport       Date:  1994-03       Impact factor: 2.500

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Authors:  C E Matthews; D P Heil; P S Freedson; H Pastides
Journal:  Med Sci Sports Exerc       Date:  1999-03       Impact factor: 5.411

9.  Predicting composition of leg sections with anthropometry and bioelectrical impedance analysis, using magnetic resonance imaging as reference.

Authors:  N J Fuller; C R Hardingham; M Graves; N Screaton; A K Dixon; L C Ward; M Elia
Journal:  Clin Sci (Lond)       Date:  1999-06       Impact factor: 6.124

10.  Assessing regional muscle mass with segmental measurements of bioelectrical impedance in obese women during weight loss.

Authors:  H C Lukaski
Journal:  Ann N Y Acad Sci       Date:  2000-05       Impact factor: 5.691

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  3 in total

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Journal:  J Sports Med Phys Fitness       Date:  2009-09       Impact factor: 1.637

2.  Muscle assessment using multi-frequency bioimpedance in a healthy Danish population aged 20-69 years: a powerful non-invasive tool in sports and in the clinic.

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Journal:  Physiol Rep       Date:  2019-06

3.  Wearable Multi-Frequency and Multi-Segment Bioelectrical Impedance Spectroscopy for Unobtrusively Tracking Body Fluid Shifts during Physical Activity in Real-Field Applications: A Preliminary Study.

Authors:  Federica Villa; Alessandro Magnani; Martina A Maggioni; Alexander Stahn; Susanna Rampichini; Giampiero Merati; Paolo Castiglioni
Journal:  Sensors (Basel)       Date:  2016-05-11       Impact factor: 3.576

  3 in total

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