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Comparison and Performance Validation of Calculated and Established Anaerobic Lactate Thresholds in Running

Background and Objectives: This study aimed to compare the calculated running velocity at the anaerobic lactate threshold (cLT(An)), determined by a mathematical model for metabolic simulation, with two established threshold concepts (onset of blood lactate accumulation (OBLA; 4 mmol∙L(−1)) and modi...

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Detalles Bibliográficos
Autores principales: Ji, Sanghyeon, Sommer, Aldo, Bloch, Wilhelm, Wahl, Patrick
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8541599/
https://www.ncbi.nlm.nih.gov/pubmed/34684154
http://dx.doi.org/10.3390/medicina57101117
Descripción
Sumario:Background and Objectives: This study aimed to compare the calculated running velocity at the anaerobic lactate threshold (cLT(An)), determined by a mathematical model for metabolic simulation, with two established threshold concepts (onset of blood lactate accumulation (OBLA; 4 mmol∙L(−1)) and modified maximal deviation method (mDmax)). Additionally, all threshold concepts were correlated with performance in different endurance running events. Materials and Methods: Ten sub-elite runners performed a 30 s sprint test on a cycle ergometer adjusted to an isokinetic mode set to a cadence of 120 rpm to determine maximal lactate production rate (VLa(max)), and a graded exercise test on a treadmill to determine maximal oxygen uptake (VO(2max)). Running velocities at OBLA, mDmax, and cLT(An) were then compared with each other, and further correlated with running performance over various distances (3000 m, 5000 m, and 10,000 m). Results: The mean difference in cLT(An) was −0.13 ± 0.43 m∙s(−1) and −0.32 ± 0.39 m∙s(−1) compared to mDmax (p = 0.49) and OBLA (p < 0.01), respectively. cLT(An) indicated moderate to good concordance with the established threshold concepts (mDmax: ICC = 0.87, OBLA: ICC = 0.74). In comparison with other threshold concepts, cLT(An) exhibited comparable correlations with the assessed running performances (cLT(An): r = 0.61–0.76, mDmax: r = 0.69–0.79, OBLA: r = 0.56–0.69). Conclusion: Our data show that cLT(An) can be applied for determining endurance performance during running. Due to the consideration of individual physiological profiles, cLT(An) offers a physiologically justified approach to assess an athlete’s endurance performance.