A Heart Rate Based Algorithm to Estimate Core Temperature Responses in Elite Athletes Exercising in the Heat.

Autor: de Korte JQ; Department of Physiology, Radboud University Medical Center, Radboud Institute for Health Sciences, Nijmegen, Netherlands., Veenstra BJ; Institute of Training Medicine & Training Physiology, TGTF, Royal Netherlands Army, Utrecht, Netherlands., van Rijswick M; Institute of Training Medicine & Training Physiology, TGTF, Royal Netherlands Army, Utrecht, Netherlands., Derksen EJK; Department of Physiology, Radboud University Medical Center, Radboud Institute for Health Sciences, Nijmegen, Netherlands., Hopman MTE; Department of Physiology, Radboud University Medical Center, Radboud Institute for Health Sciences, Nijmegen, Netherlands., Bongers CCWG; Department of Physiology, Radboud University Medical Center, Radboud Institute for Health Sciences, Nijmegen, Netherlands., Eijsvogels TMH; Department of Physiology, Radboud University Medical Center, Radboud Institute for Health Sciences, Nijmegen, Netherlands.
Jazyk: angličtina
Zdroj: Frontiers in sports and active living [Front Sports Act Living] 2022 Jun 22; Vol. 4, pp. 882254. Date of Electronic Publication: 2022 Jun 22 (Print Publication: 2022).
DOI: 10.3389/fspor.2022.882254
Abstrakt: Purpose: Non-invasive non-obtrusive continuous and real-time monitoring of core temperature (T c ) may enhance pacing strategies, the efficacy of heat mitigation measures, and early identification of athletes at risk for heat-related disorders. The Estimated Core Temperature (ECTemp™) algorithm uses sequential heart rate (HR) values to predict T c . We examined the validity of ECTemp™ among elite athletes exercising in the heat.
Methods: 101 elite athletes performed an exercise test in simulated hot and humid environmental conditions (ambient temperature: 31.6 ± 1.0°C, relative humidity: 74 ± 5%). T c was continuously measured using a validated ingestible telemetric temperature capsule system. In addition, HR was continuously measured and used to compute the estimated core temperature (T c-est ) using the ECTemp™ algorithm.
Results: Athletes exercised for 44 ± 10 min and n = 5,025 readouts of T c (range: 35.8-40.4°C), HR (range: 45-207 bpm), and T c-est (range: 36.7-39.9°C) were collected. T c-est demonstrated a small yet significant bias of 0.15 ± 0.29°C ( p < 0.001) compared to T c , with a limit of agreement of ±0.45°C and a root mean square error of 0.35 ± 0.18°C. Utilizing the ECTemp™ algorithm as a diagnostic test resulted in a fair to excellent sensitivity (73-96%) and specificity (72-93%) for T c-est thresholds between 37.75 and 38.75°C, but a low to very-low sensitivity (50-0%) for T c-est thresholds >39.0°C, due to a high prevalence of false-negative observations.
Conclusion: ECTemp™ provides a valuable and representative indication of thermal strain in the low- to mid-range of T c values observed during exercise in the heat. It may, therefore, be a useful non-invasive and non-obtrusive tool to inform athletes and coaches about the estimated core temperature during controlled hyperthermia heat acclimation protocols. However, the ECTemp™ algorithm, in its current form, should not solely be used to identify athletes at risk for heat-related disorders due to low sensitivity and high false-negative rate in the upper end of the T c spectrum.
Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
(Copyright © 2022 de Korte, Veenstra, van Rijswick, Derksen, Hopman, Bongers and Eijsvogels.)
Databáze: MEDLINE
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