Repeatability and Validity of Different Methods to Determine the Anaerobic Threshold Through the Maximal Multistage Test in Male Cyclists and Triathletes

<b>Objectives</b>: The aim of this study was to analyze the repeatability and validity of different methods to determine the anaerobic threshold through a maximal multistage cycling test; <b>Methods</b>: In total, 17 male endurance-trained athletes [7 cyclists and 10 triathletes, age 33.2 ± 6.9 yr, workload at maximal lactate steady state (MLSS<sub>W</sub>) 268 ± 27 W] participated in the study. The participants performed a maximal multistage cycling test twice to analyze the repeatability of the anaerobic threshold (AT) using nine different methods. In the remaining sessions, several 20 min constant load tests were performed to determine MLSS<sub>W</sub> (gold standard); <b>Results</b>: The workload corresponding to 73% of the maximal power (AT<sub>73Pmax</sub>) showed the best repeatability followed by the Dmax method calculated from the blood lactate concentration ([La<sup>-</sup>]) associated with the Minimum Lactate Equivalent and final [La<sup>-</sup>] (Dmax<sub>LE</sub>). Validity analyses showed that all AT determined in the present study were strong predictors of MLSS<sub>W</sub>, however, AT<sub>73Pmax</sub> and the workloads at 1.5 mmol·L<sup>-1</sup> above the first lactate threshold significantly underestimated MLSS<sub>W</sub>. The use of correction equations for these variables lowered their absolute mean bias to <5 W. Dmax<sub>LE</sub> and workload associated with the 86% of the maximal heart rate showed the narrowest limits of agreement to estimate MLSS<sub>W</sub> closely followed by corrected AT<sub>73Pmax</sub>; <b>Conclusions</b>: AT<sub>73Pmax</sub>, using the correction equation and Dmax<sub>LE</sub>, stand out as powerful predictors of MLSS<sub>W</sub> among the variables analyzed in the present study in trained cyclists or triathletes. Sports physiologists and coaches can use corrected AT<sub>73Pmax</sub> and Dmax<sub>LE</sub> to accurately assess athletes' endurance capacity and prescribe their training.

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Publication Details

Journal
Journal of Functional Morphology and Kinesiology
Published
2024-12-27
DOI
https://doi.org/10.3390/jfmk10010009
Citations
3
Primary Topic
Sports Performance and Training
Type
article
Field-Weighted Citation Impact
1.43
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article

Repeatability and Validity of Different Methods to Determine the Anaerobic Threshold Through the Maximal Multistage Test in Male Cyclists and Triathletes

M Usandizaga, Javier Yanci, Cristina Granados, Iñaki Llodio et al.
3 citations
Journal of Functional Morphology and Kinesiology
Sports Performance and Training
1.43
article

Repeatability and Validity of Different Methods to Determine the Anaerobic Threshold Through the Maximal Multistage Test in Male Cyclists and Triathletes

M Usandizaga, Javier Yanci, Cristina Granados, Iñaki Llodio, Aitor Iturricastillo, Jesús Cámara, A. Larrea
article en
3 citations

Abstract

<b>Objectives</b>: The aim of this study was to analyze the repeatability and validity of different methods to determine the anaerobic threshold through a maximal multistage cycling test; <b>Methods</b>: In total, 17 male endurance-trained athletes [7 cyclists and 10 triathletes, age 33.2 ± 6.9 yr, workload at maximal lactate steady state (MLSS<sub>W</sub>) 268 ± 27 W] participated in the study. The participants performed a maximal multistage cycling test twice to analyze the repeatability of the anaerobic threshold (AT) using nine different methods. In the remaining sessions, several 20 min constant load tests were performed to determine MLSS<sub>W</sub> (gold standard); <b>Results</b>: The workload corresponding to 73% of the maximal power (AT<sub>73Pmax</sub>) showed the best repeatability followed by the Dmax method calculated from the blood lactate concentration ([La<sup>-</sup>]) associated with the Minimum Lactate Equivalent and final [La<sup>-</sup>] (Dmax<sub>LE</sub>). Validity analyses showed that all AT determined in the present study were strong predictors of MLSS<sub>W</sub>, however, AT<sub>73Pmax</sub> and the workloads at 1.5 mmol·L<sup>-1</sup> above the first lactate threshold significantly underestimated MLSS<sub>W</sub>. The use of correction equations for these variables lowered their absolute mean bias to <5 W. Dmax<sub>LE</sub> and workload associated with the 86% of the maximal heart rate showed the narrowest limits of agreement to estimate MLSS<sub>W</sub> closely followed by corrected AT<sub>73Pmax</sub>; <b>Conclusions</b>: AT<sub>73Pmax</sub>, using the correction equation and Dmax<sub>LE</sub>, stand out as powerful predictors of MLSS<sub>W</sub> among the variables analyzed in the present study in trained cyclists or triathletes. Sports physiologists and coaches can use corrected AT<sub>73Pmax</sub> and Dmax<sub>LE</sub> to accurately assess athletes' endurance capacity and prescribe their training.

Journal of Functional Morphology and KinesiologyVol. 10(1)
University of the Basque Country (ES), BioCruces Health research Institute (ES)
Openalex Percentile: Top 19%
Sports Performance and Training
1.43
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