Using Predictive Modeling Technique to Assess Core Temperature Adaptations from Heart Rate, Sweat Rate, and Thermal Sensation in Heat Acclimatization and Heat Acclimation

Yasuki Sekiguchi (), Courteney L. Benjamin, Ciara N. Manning, Cody R. Butler, Michael R. Szymanski, Erica M. Filep, Rebecca L. Stearns, Lindsay J. Distefano, Elaine C. Lee and Douglas J. Casa
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Yasuki Sekiguchi: Korey Stringer Institute, Department of Kinesiology, University of Connecticut, Storrs, CT 06269, USA
Courteney L. Benjamin: Korey Stringer Institute, Department of Kinesiology, University of Connecticut, Storrs, CT 06269, USA
Ciara N. Manning: Korey Stringer Institute, Department of Kinesiology, University of Connecticut, Storrs, CT 06269, USA
Cody R. Butler: Korey Stringer Institute, Department of Kinesiology, University of Connecticut, Storrs, CT 06269, USA
Michael R. Szymanski: Korey Stringer Institute, Department of Kinesiology, University of Connecticut, Storrs, CT 06269, USA
Erica M. Filep: Korey Stringer Institute, Department of Kinesiology, University of Connecticut, Storrs, CT 06269, USA
Rebecca L. Stearns: Korey Stringer Institute, Department of Kinesiology, University of Connecticut, Storrs, CT 06269, USA
Lindsay J. Distefano: Human Performance Laboratory, Department of Kinesiology, University of Connecticut, Storrs, CT 06269, USA
Elaine C. Lee: Human Performance Laboratory, Department of Kinesiology, University of Connecticut, Storrs, CT 06269, USA
Douglas J. Casa: Korey Stringer Institute, Department of Kinesiology, University of Connecticut, Storrs, CT 06269, USA

IJERPH, 2022, vol. 19, issue 20, 1-9

Abstract: Assessing the adaptation of rectal temperature (T rec ) is critical following heat acclimatization (HAz) and heat acclimation (HA) because it is associated with exercise performance and safety; however, more feasible and valid methods need to be identified. The purpose of this study was to predict adaptations in T rec from heart rate (HR), sweat rate (SR), and thermal sensation (TS) using predictive modeling techniques. Twenty-five male endurance athletes (age, 36 ± 12 y; VO 2max , 57.5 ± 7.0 mL?kg ?1 ?min ?1 ) completed three trials consisting of 60 min running at 59.3 ± 1.7% vVO 2max in a hot environment. During trials, the highest HR and TS, SR, and T rec at the end of trials were recorded. Following a baseline trial, participants performed HAz followed by a post-HAz trial and then completed five days HA, followed by a post-HA trial. A decision tree indicated cut-points of HR (0.3 L·h ?1 ), and TS (??0.5) to predict lower T rec . When two or three variables met cut-points, the probability of accuracy of showing lower T rec was 95.7%. Greater adaptations in T rec were observed when two or three variables met cut-points (?0.71 ± 0.50 °C) compared to one (?0.13 ± 0.36 °C, p < 0.001) or zero (0.0 3 ± 0.38 °C, p < 0.001). Specificity was 0.96 when two or three variables met cut-points to predict lower T rec . These results suggest using heart rate, sweat rate, and thermal sensation adaptations to indicate that the adaptations in T rec is beneficial following heat adaptations, especially in field settings, as a practical and noninvasive method.

Keywords: heat acclimation; heat acclimatization; thermoregulation; exercise-heat stress; environmental exercise stress (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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