Please use this identifier to cite or link to this item: https://doi.org/10.3389/fphys.2019.00071
Title: Efficacy of heat mitigation strategies on core temperature and endurance exercise: A meta-analysis
Authors: Alhadad S.B.
Tan P.M.S.
Lee J.K.W. 
Keywords: Aerobic fitness
Fluid ingestion
Heat acclimation
Heat acclimatization
Pre-exercise cooling
Thermoregulation
Issue Date: 2019
Publisher: Frontiers Media S.A.
Citation: Alhadad S.B., Tan P.M.S., Lee J.K.W. (2019). Efficacy of heat mitigation strategies on core temperature and endurance exercise: A meta-analysis. Frontiers in Physiology 10. ScholarBank@NUS Repository. https://doi.org/10.3389/fphys.2019.00071
Abstract: Background: A majority of high profile international sporting events, including the coming 2020 Tokyo Olympics, are held in warm and humid conditions. When exercising in the heat, the rapid rise of body core temperature (Tc) often results in an impairment of exercise capacity and performance. As such, heat mitigation strategies such as aerobic fitness (AF), heat acclimation/acclimatization (HA), pre-exercise cooling (PC) and fluid ingestion (FI) can be introduced to counteract the debilitating effects of heat strain. We performed a meta-analysis to evaluate the effectiveness of these mitigation strategies using magnitude-based inferences. Methods: A computer-based literature search was performed up to 24 July 2018 using the electronic databases: PubMed, SPORTDiscus and Google Scholar. After applying a set of inclusion and exclusion criteria, a total of 118 studies were selected for evaluation. Each study was assessed according to the intervention's ability to lower Tc before exercise, attenuate the rise of Tc during exercise, extend Tc at the end of exercise and improve endurance. Weighted averages of Hedges' g were calculated for each strategy. Results: PC (g = 1.01) wasmost effective in lowering Tc before exercise, followed by HA (g = 0.72), AF (g = 0.65), and FI (g = 0.11). FI (g = 0.70) was most effective in attenuating the rate of rise of Tc, followed by HA (g = 0.35), AF (g = -0.03) and PC (g = -0.46). In extending Tc at the end of exercise, AF (g = 1.11) was most influential, followed by HA (g= -0.28), PC (g= -0.29) and FI (g = -0.50). In combination, AF (g = 0.45) was most effective at favorably altering Tc, followed by HA (g = 0.42), PC (g = 0.11) and FI (g = 0.09). AF (1.01) was also found to be most effective in improving endurance, followed by HA (0.19), FI (-0.16) and PC (-0.20). Conclusion: AF was found to be the most effective in terms of a strategy's ability to favorably alter Tc, followed by HA, PC and lastly, FI. Interestingly, a similar ranking was observed in improving endurance, with AF being the most effective, followed by HA, FI, and PC. Knowledge gained from this meta-analysis will be useful in allowing athletes, coaches and sport scientists tomake informed decisions when employing heatmitigation strategies during competitions in hot environments. © 2018 Oriental Scientific Publishing Company.
Source Title: Frontiers in Physiology
URI: https://scholarbank.nus.edu.sg/handle/10635/177637
ISSN: 1664042X
DOI: 10.3389/fphys.2019.00071
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