A modified formula using energy system contributions to calculate pure maximal rate of lactate accumulation during a maximal sprint cycling test

被引：13

作者：

Yang, Woo-Hwi ^{[1
,2
]}

Park, So-Young ^{[1
]}

Kim, Taenam ^{[1
]}

Jeon, Hyung-Jin ^{[2
]}

Heine, Oliver ^{[3
]}

Gehlert, Sebastian ^{[4
,5
]}

机构：

[1] CHA Univ, Grad Sch Sports Med, Pocheon Si, Gyeonggi Do, South Korea

[2] CHA Univ, Gen Grad Sch, Dept Med, Pocheon Si, Gyeonggi Do, South Korea

[3] Olymp Base Ctr Rhineland, Cologne, Germany

[4] Univ Hildesheim, Inst Sports Sci, Dept Biosci Sports, Hildesheim, Germany

[5] German Sport Univ Cologne, Inst Cardiovasc Res & Sports Med, Cologne, Germany

来源：

FRONTIERS IN PHYSIOLOGY | 2023年 / 14卷

关键词：

anaerobic performance; diagnostics; glycolytic metabolism; lactate; anaerobic power output; WINGATE ANAEROBIC TEST; PACING STRATEGY; POWER; RELIABILITY; METABOLISM; ENERGETICS; CAPACITY; VALIDITY; WORK;

D O I：

10.3389/fphys.2023.1147321

中图分类号：

Q4 [生理学];

学科分类号：

071003 ;

摘要：

Purpose: This study aimed at comparing previous calculating formulas of maximal lactate accumulation rate (( ? ) (La.max)) and a modified formula of pure ( ? ) (La.max) (P- ? (La.max)) during a 15-s all-out sprint cycling test (ASCT) to analyze their relationships.Methods: Thirty male national-level track cyclists participated in this study (n = 30) and performed a 15-s ASCT. The anaerobic power output (W-peak and W-mean), oxygen uptake, and blood lactate concentrations (La-) were measured. These parameters were used for different calculations of ( ? ) (La.max) and three energy contributions (phosphagen, W (PCr); glycolytic, W (Gly); and oxidative, W (Oxi)). The P- ? (La.max) calculation considered delta La-, time until W-peak (t(PCr-peak)), and the time contributed by the oxidative system (t(Oxi)). Other ( ? ) (La.max) levels without t(Oxi) were calculated using decreasing time by 3.5% from W-peak (t(PCr -3.5%)) and t(PCr-peak).Results: The absolute and relative W (PCr) were higher than W (Gly) and W (Oxi) (p < 0.0001, respectively), and the absolute and relative W (Gly) were significantly higher than W (Oxi) (p < 0.0001, respectively); ( ? ) (La.max) (t(PCr -3.5%)) was significantly higher than P- ? (La.max) and ( ? ) (La.max) (t(PCr-peak)), while ( ? ) (La.max) (t(PCr-peak)) was lower than P- ? (La.max) (p < 0.0001, respectively). P- ? (La.max) and ( ? ) (La.max) (t(PCr-peak)) were highly correlated (r = 0.99; R ( 2 ) = 0.98). This correlation was higher than the relationship between P- ? (La.max) and ( ? ) (La.max) (t(PCr -3.5%)) (r = 0.87; R ( 2 ) = 0.77). ( ? ) (La.max) (t(PCr-peak)), P- ? (La.max), and ( ? ) (La.max) (t(PCr -3.5%)) were found to correlate with absolute W-mean and W (Gly).Conclusion: P- ? (La.max) as a modified calculation of ( ? ) (La.max) provides more detailed insights into the inter-individual differences in energy and glycolytic metabolism than ( ? ) (La.max) (t(PCr-peak)) and ( ? ) (La.max) (t(PCr -3.5%)). Because W (Oxi) and W (PCr) can differ remarkably between athletes, implementing their values in P- ? (La.max) can establish more optimized individual profiling for elite track cyclists.

引用

页数：10