Predictive validity of ventilatory and lactate thresholds for cycling time trial performance |
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Authors: | Amann Markus Subudhi Andrew W Foster Carl |
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Affiliation: | The Orthopedic Specialty Hospital, Salt Lake City, UT, USA. amann@wisc.edu |
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Abstract: | PURPOSE: To determine which laboratory measurement best predicts 40 km cycling time-trial (TT) performance. METHODS: Fifteen male cyclists performed lactate-threshold (LT), ventilatory-threshold (VT), 5 km and 40 km TT. Key variables of interest were Watts at thresholds. For VT determination we used: breakpoint of ventilatory equivalent of oxygen (VE/VO2); breakpoint of ventilatory equivalent of carbon dioxide (VE/VCO2); V-slope; respiratory exchange ratio (RER)=1 and 0.95. For LT we used Stegmann's individual anaerobic threshold; the stage preceding the second 0.5 mmol L(-1) increase (Baldari); 4 mmol L(-1); 1 mmol L(-1) increase in 3 min; the stage preceding the first 1 mmol L(-1) increase as criterion methods (<1 mmol). Analyses also included peak power during the incremental threshold tests (MaxVT(watts), MaxLT(watts)) and 5 km performance (5K(avgwatts)). RESULTS: Regression analyses between VT variables and 40K(avgwatts) were significant for V-slope (r2=0.63), VE/VO2 (r2=0.64), RER(0.95) (r2=0.53), RER1 (r2=0.57), and MaxVT(watts) (r2=0.65). Regressions between LT variables and 40K(avgwatts) were significant for Baldari (r2=0.52), 4 mmol L(-1) (r2=0.36), <1 mmol (r2=0.35), Keul (r2=0.34), and MaxLT(watts) (r2=0.51). Regressions between 5K variables and 40K(avgwatts) were significant for 5K(avgwatts) (r2=0.58). Paired t-tests between these variables and the 40K(avgwatts) indicated that absolute power outputs at VE/VO2 (P=0.33), RER(0.95) (P=0.93), and 4 mmol L(-1) (P=0.39) were not significantly different from 40K(avgwatts). CONCLUSION: We conclude that VT-based variables are generally superior to LT variables relative to predicting 40K(avgwatts), the simplest of several valid measures appears to be VE/VO2. |
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Keywords: | testing power output training performance prediction |
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