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Is the Functional Threshold Power Interchangeable With the Maximal Lactate Steady State in Trained Cyclists?
Functional threshold power (FTP) accurately estimates maximal lactate steady state (MLSS) in cyclists. This practical test offers a valid, noninvasive alternative for assessing cycling performance and training zones.
Area of Science:
- Sports Science
- Exercise Physiology
- Cycling Performance Analysis
Background:
- Maximal lactate steady state (MLSS) is a key indicator of endurance performance in cycling.
- Functional threshold power (FTP), derived from a 20-minute time trial, is a practical alternative for estimating MLSS.
- The validity of FTP for predicting MLSS requires further investigation.
Purpose of the Study:
- To determine the validity of functional threshold power (FTP) in predicting maximal lactate steady state (MLSS) in trained and well-trained cyclists.
- To compare the accuracy of FTP in estimating MLSS across different training levels.
Main Methods:
- Fifteen cyclists (7 trained, 8 well-trained) underwent an incremental test, an FTP test, and multiple constant-load tests to establish MLSS.
- Statistical analyses included bias ± 95% limits of agreement (LoA), typical error of the estimate (TEE), and Pearson correlation coefficient (r).
Main Results:
- FTP demonstrated a strong correlation (r = .91) with MLSS for power output, with a bias of 1.4% ± 9.2% and TEE of 4.7%.
- The well-trained group showed better agreement between FTP and MLSS (bias ± 95% LoA: 1.3% ± 7.4%; TEE: 3.0%) compared to the trained group.
- For heart rate, FTP showed a bias of -1.4% ± 8.2%, TEE of 4.0%, and a correlation of r = .80 with MLSS.
Conclusions:
- Functional threshold power (FTP) is a valid and practical noninvasive method for estimating MLSS in both trained and well-trained cyclists.
- FTP provides a reliable alternative to direct MLSS testing for practical training applications.
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