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Bioimpedance patterns and bioelectrical impedance vector analysis (BIVA) of road cyclists.

Andrea GiorgiMaurizio ViciniLuca PollastriErica LombardiEmilio MagniAndrea AndreazzoliMarco OrsiniMarco BonifaziHenry LukaskiHannes Gatterer
Published in: Journal of sports sciences (2018)
Bioelectrical impedance vector-analysis (BIVA) describes cell-mass, cell function and hydration status of an individual or a group. The goal of the present investigation was to provide bioelectrical impedance data for 525 male road cyclists (155 professionals, 79 elite, 59 elite-youth, and 232 amateurs) at the time of their optimal performance level. Data were plotted on the resistance-reactance (R-Xc) graph to characterize cyclists group vectors using BIVA. Compared to the general male population, the mean vector position of the road cyclists indicates a higher body cell mass (BCM) and phase angle (p<0.001). The vector position of the high-performance, compared to the amateur cyclists showed similar patterns with higher BCM and phase angles and higher reactance values for the high-performance athletes (p<0.001). The bio-impedance data were used to calculate the 50%, 75%, and 95% tolerance ellipses of each group of cyclists. The characteristic vector positions of the road cyclists indicate normal hydration and greater muscle mass and function of the high-performance cyclists compared to amateur cyclists and the normal population. The cyclists specific tolerance ellipses, particularly the high-performance cyclists might be used for classifying a cyclist according to the individual vector position and to define target vector regions for lower level cyclists.
Keyphrases
  • body composition
  • dual energy
  • electronic health record
  • physical activity
  • big data
  • mental health
  • single cell
  • mass spectrometry
  • young adults
  • bone marrow
  • data analysis