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预测在环境热应激下进行 10 公里自我计时跑结束时的业余运动员的体核温度。

Predicting the body core temperature of recreational athletes at the end of a 10 km self-paced run under environmental heat stress.

机构信息

Exercise Physiology Laboratory, School of Physical Education, Physiotherapy and Occupational Therapy, Universidade Federal de Minas Gerais, Belo Horizonte, MG, Brazil.

Sports Training Center, School of Physical Education, Physiotherapy and Occupational Therapy, Universidade Federal de Minas Gerais, Belo Horizonte, MG, Brazil.

出版信息

Exp Physiol. 2023 Jun;108(6):852-864. doi: 10.1113/EP091017. Epub 2023 Apr 5.

Abstract

NEW FINDINGS

What is the central question of this study? The aim was to identify the factors predicting the body core temperature of athletes at the end of a 10 km self-paced run in a hot environment. What is the main finding and its importance? Hyperthermia in athletes subjected to self-paced running depends on several factors, highlighting the integrated control of core temperature during exercise under environmental heat stress. Five of the seven variables that significantly predicted core temperature are not invasive and, therefore, practical for use outside the laboratory environment: heart rate, sweat rate, wet-bulb globe temperature, running speed and maximal oxygen consumption.

ABSTRACT

Measurement of body core temperature (T ) is paramount to determining the thermoregulatory strain of athletes. However, standard measurement procedures of T are not practical for extended use outside the laboratory environment. Therefore, determining the factors that predict T during a self-paced run is crucial for creating more effective strategies to minimize the heat-induced impairment of endurance performance and reduce the occurrence of exertional heatstroke. The aim of this study was to identify the factors predicting T values attained at the end of a 10 km time trial (end-T ) under environmental heat stress. Initially, we extracted data obtained from 75 recordings of recreationally trained men and women. Next, we ran hierarchical multiple linear regression analyses to understand the predictive power of the following variables: wet-bulb globe temperature, average running speed, initial T , body mass, differences between T and skin temperature (T ), sweat rate, maximal oxygen uptake, heart rate and change in body mass. Our data indicated that T increased continuously during exercise, attaining 39.6 ± 0.5°C (mean ± SD) after 53.9 ± 7.5 min of treadmill running. This end-T value was primarily predicted by heart rate, sweat rate, differences between T and T , wet-bulb globe temperature, initial T , running speed and maximal oxygen uptake, in this order of importance (β power values corresponded to 0.462, -0.395, 0.393, 0.327, 0.277, 0.244 and 0.228, respectively). In conclusion, several factors predict T in athletes subjected to self-paced running under environmental heat stress. Moreover, considering the conditions investigated, heart rate and sweat rate, two practical (non-invasive) variables, have the highest predictive power.

摘要

新发现

本研究的核心问题是什么?目的是确定在热环境下进行 10 公里自我计时跑时预测运动员核心体温的因素。主要发现及其重要性是什么?自主跑步运动员的体温升高取决于几个因素,突出了在环境热应激下运动时核心体温的综合控制。显著预测核心体温的七个变量中有五个是非侵入性的,因此在实验室环境之外具有实际意义:心率、出汗率、湿球黑球温度、跑步速度和最大摄氧量。

摘要

测量核心体温(T)对于确定运动员的热应激至关重要。然而,T 的标准测量程序不适用于实验室环境之外的扩展使用。因此,确定自主跑步时预测 T 的因素对于制定更有效的策略来最大限度地减少热引起的耐力表现受损和减少运动性中暑的发生至关重要。本研究的目的是确定在环境热应激下 10 公里计时赛(结束时的 T)结束时预测 T 值的因素。最初,我们从 75 名娱乐训练的男性和女性的记录中提取数据。接下来,我们进行了层次多重线性回归分析,以了解以下变量的预测能力:湿球黑球温度、平均跑步速度、初始 T、体重、 T 与皮肤温度之间的差异(T)、出汗率、最大摄氧量、心率和体重变化。我们的数据表明,T 在运动过程中持续增加,在跑步机跑步 53.9±7.5 分钟后达到 39.6±0.5°C(平均值±标准差)。这个结束时的 T 值主要由心率、出汗率、 T 与 T 之间的差异、湿球黑球温度、初始 T、跑步速度和最大摄氧量预测,按重要性顺序(β 幂值分别对应于 0.462、-0.395、0.393、0.327、0.277、0.244 和 0.228)。总之,几个因素预测了环境热应激下自主跑步运动员的 T 值。此外,考虑到所研究的条件,心率和出汗率,两个实用的(非侵入性)变量,具有最高的预测能力。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cbf3/10988464/4b69c34cde15/EPH-108-852-g003.jpg

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