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热应激期间体力负荷对有氧运动表现的影响。

Effect of Physical Load on Aerobic Exercise Performance during Heat Stress.

作者信息

Kenefick Robert W, Heavens Kristen R, Luippold Adam J, Charkoudian Nisha, Schwartz Steven A, Cheuvront Samuel N

机构信息

1US Army Research Institute of Environmental Medicine, Natick, MA; and 2Lincoln Laboratory, Massachusetts Institute of Technology, Lexington, MA.

出版信息

Med Sci Sports Exerc. 2017 Dec;49(12):2570-2577. doi: 10.1249/MSS.0000000000001392.

Abstract

PURPOSE

This study aimed to investigate the effect of increasing external loads on 5-km treadmill time trial (TT) performance in 20°C and 40°C environmental conditions and to construct an ecologically relevant performance prediction decision aid.

METHODS

Twenty-six male and four female volunteers (age, 23.5 ± 6.9 yr; weight, 76.0 ± 8.9 kg; height, 1.75 ± 0.07 m; V˙O2peak, 50.7 ± 4.5 mL·kg·min) participated in a counterbalanced, mixed-model design, with each subject assigned to a load group (20%, 30%, or 50% body mass (BM); n = 10 per group). Volunteers performed three, self-paced 5-km familiarization TT (treadmill) without external load. Each volunteer then performed a 5-km TT in each environment with loads of either 20% (n = 10), 30% (n = 10), or 50% (n = 10) of BM.

RESULTS

  1. Loads of (20%, 30%, and 50% of BM) impaired 5-km TT performance compared with that when unloaded (P < 0.05); 2) the time penalties of the 20% and 30% load were <50% load (P < 0.05); 3) in all trials, the addition of heat exposure reduced 5-km TT performance beyond the penalty of load itself (P < 0.05); and 4) the combination of heat and 50% load resulted in a substantial penalty such that continuous work was not sustainable for all of the volunteers.

CONCLUSIONS

Relative to prediction models using fixed or constant workload exercise trials, an ecologically valid decision aid was developed from self-paced data, in which pace (km·h) can be predicted for individual levels of heat, load, or heat + load in combination.

摘要

目的

本研究旨在探究在20°C和40°C环境条件下增加外部负荷对5公里跑步机计时赛(TT)成绩的影响,并构建一个具有生态相关性的成绩预测决策辅助工具。

方法

26名男性和4名女性志愿者(年龄,23.5±6.9岁;体重,76.0±8.9千克;身高,1.75±0.07米;峰值摄氧量,50.7±4.5毫升·千克·分钟)参与了一项平衡的混合模型设计,每个受试者被分配到一个负荷组(体重的20%、30%或50%;每组n = 10)。志愿者在无外部负荷的情况下进行了三次自定节奏的5公里适应性TT(跑步机)。然后,每个志愿者在每个环境中进行一次5公里TT,负荷分别为体重的20%(n = 10)、30%(n = 10)或50%(n = 10)。

结果

1)与无负荷时相比,(体重的20%、30%和50%)负荷会损害5公里TT成绩(P < 0.05);2)20%和30%负荷的时间惩罚小于50%负荷(P < 0.05);3)在所有试验中,热暴露的增加会使5公里TT成绩下降幅度超过负荷本身的惩罚(P < 0.05);4)热和50%负荷的组合导致了相当大的惩罚,以至于并非所有志愿者都能持续进行这项工作。

结论

相对于使用固定或恒定工作量运动试验的预测模型,基于自定节奏数据开发了一个具有生态效度的决策辅助工具,其中可以针对个体的热、负荷或热+负荷组合水平预测速度(公里/小时)。

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