Publication | Open Access
Predicting the body core temperature of recreational athletes at the end of a 10 km self‐paced run under environmental heat stress
16
Citations
56
References
2023
Year
Measurement of body core temperature (T<sub>core</sub> ) is paramount to determining the thermoregulatory strain of athletes. However, standard measurement procedures of T<sub>core</sub> are not practical for extended use outside the laboratory environment. Therefore, determining the factors that predict T<sub>core</sub> 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<sub>core</sub> values attained at the end of a 10 km time trial (end-T<sub>core</sub> ) 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<sub>core</sub> , body mass, differences between T<sub>core</sub> and skin temperature (T<sub>skin</sub> ), sweat rate, maximal oxygen uptake, heart rate and change in body mass. Our data indicated that T<sub>core</sub> increased continuously during exercise, attaining 39.6 ± 0.5°C (mean ± SD) after 53.9 ± 7.5 min of treadmill running. This end-T<sub>core</sub> value was primarily predicted by heart rate, sweat rate, differences between T<sub>core</sub> and T<sub>skin</sub> , wet-bulb globe temperature, initial T<sub>core</sub> , 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<sub>core</sub> 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.
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