Medizinische Universität Graz Austria/Österreich - Forschungsportal - Medical University of Graz
Gewählte Publikation:
SHR Neuro Krebs Kardio Lipid Stoffw Microb
Porta, S; Pichlkastner, K; Gell, H; Desch, W; Schappacher, W; Porta, J; Bratu, MM.
Interdependencies of electrolyte- and metabolic parameters can characterize handicaps and predict success probability in sports
TRACE ELEM ELECTROLYTES. 2010; 27(3): 103-109.
Doi: 10.5414/TEP27101
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- Porta Sepp
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- Abstract:
- Out of 100 mu l of capillary blood of 28 ensigns of the Theresianische Militarakademie ionized Mg, ionized potassium, pH and basexcess, pCO(2) and HCO3 was determined with a CCX device (NOVA Biomedical) and CSA Software (PLK, Judendorf - Strassengel, AUSTRIA). 14 ensigns had to perform a military steeplechase (obstacle race), already partly reported earlier [1], the other 14 participants absolved a combined sports activity consisting of running and swimming contests. Blood sampling and determination was done before and after the performance in both groups. Also both groups showed a highly significant negative correlation between pH and K before sports, while at the same time pH/Mg correlation were positive before steeplechase and negative before combined sports. Negative pH/Mg correlations are mostly consistent with already agitated situations, which, in the case of combined sports was indeed the case because about 30 minutes of shivering due to a sharp fall in temperature was evident. Correlations with K and awarded scores showed that in the shivering group the participants with relatively highest K and lowest pH basally had the best chances for high scoring, while in the much less agitated first group the reaction was opposite. Thus, by correlative characterizing basal situations appropriate steps can be taken in time. The same correlation characterizes the ranking of each single participant within the peculiar situation of the group. This ranking seems to be connected with their chances of scoring in the subsequent sports. Moreover, possible outliers can be identified before performance or deployment.
- Find related publications in this database (Keywords)
- ionized potassium
- ionized magnesium
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- prediction
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