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. 2015 Sep 14;4(Suppl 1):A2. doi: 10.1186/2046-7648-4-S1-A2

Investigating the lower ambient temperature limit for pre-cooling to be beneficial for athletic performance

Iris Broekhuijzen 1,, Simon Hodder 1, Maarten Hupperets 1, George Havenith 1
PMCID: PMC4580863

Introduction

When exercising in the heat, performance is deteriorated. It has been shown that pre-cooling can counteract this deterioration in the heat [1], but it is unclear what the effects of pre-cooling on performance are in temperate environments. Thus, the current study was performed to see if there is any difference in performance with pre-cooling at 24 °C and 27 °C, and thus if there is a threshold in environmental temperature above which pre-cooling becomes beneficial to performance. We hypothesised pre-cooling to enhance performance at both environmental temperatures.

Methods

Nine healthy males (mean (SD) age 24.2 (7.2) years; VO2,max 60.6 (6.2) mL.kg-1.min-1) participated in the study. Six participants performed 4 experimental trials: CON27 (control, 27 °C), COOL27 (pre-cooling, 27 °C), CON24 (control, 24 °C) & COOL24 (pre-cooling, 24 °C). Three participants only performed CON27 & COOL27. Pre-cooling was applied for 30 minutes and during the warm-up before a cycling time trial. Participants were cooled using a cooling vest and sleeves made of a combination of a mesh fabric and pockets filled with hydrophilic silica gel, which was soaked and frozen overnight. 30 minutes of baseline measurements in room temperature (23.3 (0.7) °C) were taken, followed by 39 minutes of pre-cooling in testing climate of which the last 9 minutes participants were warming up. Performance was measured using a time trial equivalent to cycling for one hour at 75 % VO2,max. Mean skin temperature (Tskin) was measured throughout the trial using 8 iButtons [2] and core temperature was measured using a radio pill (Tcore). Body temperature (Tbody) was subsequently calculated using the calculation from Hardy et al. [3]. Thermal sensation (-10 to +10, extremely cold to extremely hot), thermal comfort (0 to 7, comfortable to extremely uncomfortable) and rating of perceived exertion (RPE; [4]) were assessed at 20% intervals of the time trial.

Results

Results show a significant performance improvement at 27 °C (p = 0.036 (one-tailed)), but no significant differences are seen at 24 °C (p = 0.325 (one-tailed)). This was strengthened by the Hopkins approach [5], which showed a 97% or a very likely chance of an improvement in performance at 27 °C following pre-cooling. Pre-cooling lowered both Tskin (p < 0.005) and Tbody (p < 0.05), but not Tcore. Sweat rate was significantly lowered following pre-cooling at 27 °C (0.67 (0.11) vs. 0.61 (0.13); p < 0.05), but not at 24 °C (p = 0.075). Furthermore, thermal sensation was lower (i.e. cooler) following pre-cooling (27: 1.6 (1.4) vs. -4.0 (1.41), 24: -0.33 (0.94) vs. -4.33 (1.25); p < 0.05) and thermal discomfort was increased (27: 1.2 (0.4) vs. 2.8 (0.75), 24: 1.0 (0.0) vs. 3.5 (1.2); p < 0.05) following pre-cooling.

Conclusion

Our results indicate that pre-cooling improves performance in 27 °C, but not in 24 °C and thus that the threshold in environmental temperature for pre-cooling using the tested cooling vest and sleeves to become beneficial for cycling time trial performance appears to be above 24 °C.

References

  1. Faulkner SH, Hupperets M, Hodder SG, Havenith G. Conductive and evaporative precooling lowers mean skin temperature and improves time trial performance in the heat. Scand J Med Sci Sports. 2015;25:183–189. doi: 10.1111/sms.12373. Jun. [DOI] [PubMed] [Google Scholar]
  2. 9886:2004 ISO. Ergonomics. Evaluation of thermal strain by physiological measurements
  3. Hardy JD, EF Du Bois, Soderstrom GF. Basal Metabolism, Radiation, Convection and Vaporization at Temperatures of 22 to 35°C.: Six Figures. J Nutr. 1938;15(5):477–497. [Google Scholar]
  4. Borg GA. Psychophysical bases of perceived exertion. Med Sci Sports Exerc. 1982;14(5):377–381. [PubMed] [Google Scholar]
  5. Hopkins WG. A spreadsheet for deriving a confidence interval, mechanistic inference and clinical inference from a p value. Sportscience. 2007;11:16–20. [Google Scholar]

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