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Published on: January 28, 2020
Critical Power Is More Strongly Associated With Rowing Performance Than the Second Lactate Threshold
Dan D Dwyer1, Kieron D Lester1, Rodney Siegel2
1Centre for Sport Research in the Institute for Physical Activity and Nutrition, School of Exercise and Nutrition Sciences, Deakin University, Geelong, VIC, Australia.
Critical power (CP) and second lactate threshold methods show strong associations with rowing performance, with the CP model accurately predicting 2000-m rowing times in trained athletes.
Area of Science:
- Sports Physiology
- Exercise Science
Background:
- Critical Power (CP) and second lactate threshold are key physiological markers for endurance performance.
- Understanding the agreement and predictive accuracy of these markers is crucial for training optimization in rowers.
Purpose of the Study:
- To assess the agreement between Critical Power (CP) and the second lactate threshold (using ModDmax and LogPoly methods) in rowers.
- To examine the relationship between these physiological markers and rowing performance.
- To evaluate the accuracy of the CP model in predicting 2000-m rowing performance.
Main Methods:
- Retrieved data from 38 national/international level male and female rowers.
- Determined the second lactate threshold using modified Dmax (ModDmax) and LogPoly methods during an incremental ergometer test.
- Calculated CP and work above CP (W') using time-trial data (500m, 2000m, and 5000m/6000m) and the linear 1/time model.
Main Results:
- Moderate to strong associations (r² = .49-.70) were found between CP, ModDmax, and LogPoly.
- Power output at CP was lower than at ModDmax and LogPoly (P < .001).
- CP demonstrated the strongest association with rowing performance (r² = -.81; P < .001), followed by ModDmax and LogPoly (r² = -.75; P < .001).
- The CP model, including W', accurately predicted 2000-m rowing time (male r² = .92, female r² = .81; P < .001).
Conclusions:
- While absolute power output agreement was not confirmed, strong associations exist between CP, ModDmax, and LogPoly.
- All tested methods showed moderate to high correlations with 2000-m rowing performance.
- The CP model is a valid tool for predicting rowing performance in trained athletes.
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