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  • Meeting abstract
  • Open Access

Prescribing workload administration to optimise isothermic heat acclimation

Extreme Physiology & Medicine20154(Suppl 1):A83

Published: 14 September 2015


  • Core Temperature
  • Thermal Sensation
  • Pearson Product Moment Correlation
  • Exercise Prescription
  • Heat Acclimation


Repeated exercise-heat exposures, known as heat acclimation (HA), are often implemented as an intervention to attenuate decrements in physiological strain and exercise tolerance prior to work in normothermic and hot, humid conditions. The fundamental potentiating stimuli for thermoregulatory adaptation are repeated, significant rises in core temperature. Targeting of a specific core temperature is known as isothermic, or controlled hyperthermic HA. Different methods of modulating the exercise component of isothermic HA have been implemented, with prescription previously based upon either peak oxygen uptake (VO2peak), power, or subjective ratings of perceived exertion or thermal sensation. Interestingly, metabolic heat production, a measure to determine changes in core temperature, has not been used to prescribe isothermic HA. The aim of this study was to determine the relationship between the rate of rectal (core) temperature (Trec) increase, and different methods for prescribing workload during an acute exercise-heat exposure, with the objective of trying to refine the prescription of isothermic HA workloads.


Following preliminary testing to determine VO2peak, fifty four male participants (Age 23.1(4.2) years, Height 180(6) cm, Mass 76.3 (10.1) kg, Body surface area (BSA) 1.95 (0.13) m2, Body Fat 13.8 (4.1) %, VO2peak 3.82 (0.66) L.min-1) cycled in uncompensable heat stress 40 °C, 39 %rh for 29 (2) min to replicate the active stage of a typical isothermic HA session. The initial exercise workload was prescribed based upon a %VO2peak (59.7 ± 8.7). Potential exercise prescription variables corresponding to the actual %VO2peak performed were retrospectively calculated following each session as follows mean power (, power (%max), metabolic heat production (MHP;, MHP/BSA (W.m-2), heat production (Hprod;, Hprod/BSA (W.m-2), VO2 (%peak), heart rate (HR; %max), rating of perceived exertion (RPE) and thermal sensation (TS). Pearson product moment correlations were calculated for each prescriptive workload variable against the rate of change in Trec (° occurring in each session. Linear regression was then performed to determine the workload prescription required to increase Trec by 1.5°C within 30 minutes thus replicating an increase from resting (37.0°C) to the isothermic target (38.5°C) temperature.


All variables demonstrated significant (p < 0.05) relationships with the rate of change in Trec in ranked order as follows: power (r2 = 0.58; 2.1(0.1), MHP (r2 = 0.50; 10.8(2.7), MHP/BSA (r2 = 0.46; 419(97) W.m-2), power (r2 = 0.46; 51 (12) %max), Hprod (r2 = 0.43; 8.7 (2.1), Hprod/BSA (r2 = 0.39; 336(77) W.m-2), RPE (r2 = 0.33; 14(2)), HR (r2 = 0.28; 83(10) %max), VO2 (r2 = 0.28; 50.8(10.5) %peak), and TS (r2 = 0.10; 6.3(0.6)). Linear regression described the workload prescription to increase Trec by 1.5°C in 30 minutes as follows power = 2.7, MHP = = 12.9, MHP/BSA = 518 W.m-2, power = 64 %max, Hprod = 10.9, Hprod/BSA = 422 W.m-2, RPE = 17, HR = 95 %max, VO2 = 68 %peak, and TS = 8.


Rapid (<30 min) attainment of the target Trec for isothermic HA optimises the efficiency of this intervention. Prescription of isothermic HA intensity utilising power ( or %max) or Hprod ( or W.m-2) have the strongest relationship with the rate of change in Trec. This is likely due to the direct relationship with the heat balance equation. The calculated workload prescriptions can therefore, be implemented by practitioners to accurately increase Trec.


Prescribing HA workloads utilising power ( or %max), MHP ( or W.m-2), or Hprod ( or W.m-2) demonstrates least variability of the methods tested. Utilising relative power ( or MHP and Hprod to prescribe isothermic HA removes the requirement for a pre HA VO2peak test.

Authors’ Affiliations

Centre for Sport and Exercise Science and Medicine (SESAME), University of Brighton, Eastbourne, UK


© Gibson et al.; 2015

This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. The Creative Commons Public Domain Dedication waiver ( applies to the data made available in this article, unless otherwise stated.