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1000
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Abstract/Summary
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<jats:title>Abstract</jats:title><jats:sec>
<jats:title>Purpose</jats:title>
<jats:p>Near-infrared spectroscopy (NIRS) is a valid and reliable method to assess forearm muscle oxygenation in sport climbing, focusing on evaluating single parameters. The study assessed the predictive value of various NIRS parameters in climbing-specific settings, during intermittent finger endurance testing and in a simulated climbing competition.</jats:p>
</jats:sec><jats:sec>
<jats:title>Methods</jats:title>
<jats:p>52 recreational climbers (28.5 ± 6.3 y) performed an intermittent finger endurance test and 10 competitive climbers (20.2 ± 6.3 y) participated in a simulated lead climbing competition. Continuous-wave NIRS were used to assess oxygenation and blood volume changes.</jats:p>
</jats:sec><jats:sec>
<jats:title>Results</jats:title>
<jats:p>NIRS parameters predicted 26.4% of the variance in the intermittent test, with mean minima and maxima of O<jats:sub>2</jats:sub>Hb and mean maxima of TSI% of the single repetitions being the predictors. No significant differences existed between the last valid and the first nonvalid repetition on the combined dependent variable. For the simulated competition, a statistically significant difference between the 20 s intervals on the combined dependent variables was found with posthoc testing showing significant univariate within-subjects effects for HHb, tHb & TSI, but not for O2Hb.</jats:p>
</jats:sec><jats:sec>
<jats:title>Conclusion</jats:title>
<jats:p>The results indicate that for the intermittent test, high re- and deoxygenation abilities, and for the climbing competition, the accumulation of HHb concentration levels have the highest predictability.</jats:p>
</jats:sec>
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1000
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Hinweis
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DeepGreen-ID: 57e4d1a4ffb04cdaae16bf4033841619 ; metadata provieded by: DeepGreen (https://www.oa-deepgreen.de/api/v1/), LIVIVO search scope life sciences (http://z3950.zbmed.de:6210/livivo), Crossref Unified Resource API (https://api.crossref.org/swagger-ui/index.html), to.science.api (https://frl.publisso.de/), ZDB JSON-API (beta) (https://zeitschriftendatenbank.de/api/), lobid - Dateninfrastruktur für Bibliotheken (https://lobid.org/resources/search)
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