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最大递增跑步表现的生理预测指标

Physiological Predictors of Maximal Incremental Running Performance.

作者信息

Lanferdini Fábio J, Silva Edson S, Machado Esthevan, Fischer Gabriela, Peyré-Tartaruga Leonardo A

机构信息

Laboratório de Biomecânica, Centro de Desportos, Universidade Federal de Santa Catarina, Florianópolis, Brazil.

Laboratório de Pesquisa do Exercício, Escola de Educação Física, Fisioterapia e Dança, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil.

出版信息

Front Physiol. 2020 Aug 5;11:979. doi: 10.3389/fphys.2020.00979. eCollection 2020.

DOI:10.3389/fphys.2020.00979
PMID:32848890
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7419685/
Abstract

PURPOSE

The aim of this study was to verify whether physiological components [vertical jumps (Squat Jump - SJ and Countermovement Jump - CMJ), eccentric utilization ratio (EUR) of vertical jumps, running economy (RE), metabolic cost (C ), first and second ventilatory threshold (VT and VT) maximal oxygen uptake (VO)] can predict maximal endurance running performance.

METHODS

Twenty male runners performed maximal vertical jumps, submaximal running at constant speeds, and maximal incremental running test. Before, we measured anthropometric parameters (body mass and height) and registered the training history and volume. SJ and CMJ tests were evaluated prior to running tests. Initially, the oxygen uptake (VO) was collected at rest in the orthostatic position for 6 min. Soon after, a 10-min warm-up was performed on the treadmill at 10 km⋅h, followed by two 5-min treadmill rectangular tests at 12 and 16 km⋅h monitored by a gas analyzer. After that, the runners performed a maximal incremental test, where the VT, VT, and VO were evaluated, as well as the maximum running speed (vVO). Thus, RE and C were calculated with data obtained during rectangular running tests. Multivariate stepwise regression analyses were conducted to measure the relationship between independent variables (height and power of SJ and CMJ, EUR; RE and C 12 and 16 km⋅h VT, VT, and VO), as predictors of maximal running performance (vVO), with significance level at α = 0.05.

RESULTS

We found that VO and RE at 16 km⋅h predict 81% of performance (vVO) of endurance runners ( < 0.001).

CONCLUSION

The main predictors of the maximal incremental running test performance were VO and RE.

摘要

目的

本研究的目的是验证生理指标[垂直跳跃(深蹲跳 - SJ和反向运动跳 - CMJ)、垂直跳跃的离心利用率(EUR)、跑步经济性(RE)、代谢成本(C)、第一和第二通气阈值(VT₁和VT₂)、最大摄氧量(VO₂max)]是否能够预测最大耐力跑成绩。

方法

20名男性跑步运动员进行了最大垂直跳跃、恒定速度下的次最大跑步以及最大递增跑步测试。在此之前,我们测量了人体测量参数(体重和身高)并记录了训练历史和训练量。在跑步测试之前评估SJ和CMJ测试。最初,在直立位静息状态下采集6分钟的摄氧量(VO₂)。此后,在跑步机上以10 km·h的速度进行10分钟的热身,随后在气体分析仪监测下,在12和16 km·h的速度下进行两次5分钟的跑步机矩形测试。之后,跑步运动员进行最大递增测试,评估VT₁、VT₂和VO₂max,以及最大跑步速度(vVO₂max)。因此,根据矩形跑步测试期间获得的数据计算RE和C。进行多变量逐步回归分析,以测量自变量(SJ和CMJ的高度和功率、EUR;12和16 km·h时的RE和C、VT₁、VT₂和VO₂max)作为最大跑步成绩(vVO₂max)的预测指标之间的关系,显著性水平为α = 0.05。

结果

我们发现,16 km·h时的VO₂max和RE可预测耐力跑运动员81%的成绩(vVO₂max)(P < 0.001)。

结论

最大递增跑步测试成绩的主要预测指标是VO₂max和RE。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2a7c/7419685/90b62b6a2507/fphys-11-00979-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2a7c/7419685/3e3925c39b3b/fphys-11-00979-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2a7c/7419685/90b62b6a2507/fphys-11-00979-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2a7c/7419685/3e3925c39b3b/fphys-11-00979-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2a7c/7419685/90b62b6a2507/fphys-11-00979-g002.jpg

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