Literature DB >> 8970147

A new method for monitoring hydration at high altitude by bioimpedance analysis.

A Piccoli1, P Piazza, D Noventa, L Pillon, M Zaccaria.   

Abstract

Our study evaluated the performance of a graphical method for monitoring the fluid variation at high altitude in seven adult Caucasian male subjects (average age 25 yr, average height 177 cm). The graphical approach is called the Resistance-Reactance (RXc) graph method and is based on standard bioimpedance analysis (tetrapolar, 50 kHz frequency). Measurements were taken at sea level before the expedition, at 5050 m after 1 wk and 3 wk, and again at sea level after descent. Plasma and urine electrolytes, osmolalities, and the free-water clearance were determined by standard methods. All climbers had baseline impedance vectors within the reference 95% tolerance ellipse for the Italian male population. The high altitude dehydration caused a significant lengthening of vectors, which after descent underwent a significant shortening and returned close to the baseline values. Average urine volume increased by 1.4 l.d-1 in the first week and average body weight decreased by 4.4 kg after 3 wk. The RXc graph method could be useful in the planning of the individual climber's appropriate dehydration and fluid intake at altitude since a feedback control of the hydration is allowed without any assumption of body composition.

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Year:  1996        PMID: 8970147     DOI: 10.1097/00005768-199612000-00012

Source DB:  PubMed          Journal:  Med Sci Sports Exerc        ISSN: 0195-9131            Impact factor:   5.411


  13 in total

1.  Decreased serum leptin levels during prolonged high altitude exposure.

Authors:  Marco Zaccaria; Andrea Ermolao; Piero Bonvicini; Giuseppe Travain; Maurizio Varnier
Journal:  Eur J Appl Physiol       Date:  2004-04-09       Impact factor: 3.078

2.  Smart Multi-Frequency Bioelectrical Impedance Spectrometer for BIA and BIVA Applications.

Authors:  Rene Harder; Andre Diedrich; Jonathan S Whitfield; Macie S Buchowski; John B Pietsch; Franz J Baudenbacher
Journal:  IEEE Trans Biomed Circuits Syst       Date:  2016-02-03       Impact factor: 3.833

3.  The effect of hypohydration severity on the physiological, psychological and renal hormonal responses to hypoxic exercise.

Authors:  Alan Richardson; Peter Watt; Neil Maxwell
Journal:  Eur J Appl Physiol       Date:  2009-02-06       Impact factor: 3.078

Review 4.  Bioelectrical impedance vector analysis (BIVA) for the assessment of two-compartment body composition.

Authors:  R Buffa; E Mereu; O Comandini; M E Ibanez; E Marini
Journal:  Eur J Clin Nutr       Date:  2014-08-20       Impact factor: 4.016

5.  Association between body water status and acute mountain sickness.

Authors:  Hannes Gatterer; Maria Wille; Martin Faulhaber; Henry Lukaski; Andreas Melmer; Christoph Ebenbichler; Martin Burtscher
Journal:  PLoS One       Date:  2013-08-27       Impact factor: 3.240

6.  Bioimpedance identifies body fluid loss after exercise in the heat: a pilot study with body cooling.

Authors:  Hannes Gatterer; Kai Schenk; Lisa Laninschegg; Philipp Schlemmer; Henry Lukaski; Martin Burtscher
Journal:  PLoS One       Date:  2014-10-03       Impact factor: 3.240

7.  Bioimpedance Vector Analysis in Diagnosing Severe and Non-Severe Dengue Patients.

Authors:  Sami F Khalil; Mas S Mohktar; Fatimah Ibrahim
Journal:  Sensors (Basel)       Date:  2016-06-18       Impact factor: 3.576

8.  Bioelectrical Impedance Vector Analysis: A Valuable Tool to Monitor Daily Body Hydration Dynamics at Altitude.

Authors:  Ivo B Regli; Rachel Turner; Simon Woyke; Simon Rauch; Hermann Brugger; Hannes Gatterer
Journal:  Int J Environ Res Public Health       Date:  2021-05-20       Impact factor: 3.390

9.  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

Review 10.  The theory and fundamentals of bioimpedance analysis in clinical status monitoring and diagnosis of diseases.

Authors:  Sami F Khalil; Mas S Mohktar; Fatimah Ibrahim
Journal:  Sensors (Basel)       Date:  2014-06-19       Impact factor: 3.576

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