Meta-analysis2018

Core Temperature Responses to Cold-Water Immersion Recovery: A Pooled-Data Analysis

Stephens JM, Sharpe K, Gore C, Miller J, Slater GJ, Versey N, Peiffer J, Duffield R, Minett GM, Crampton D, Dunne A, Askew CD, Halson SL

International journal of sports physiology and performance · 11 citations

Review labels

Funding not disclosed

Neutral facts our review recorded about how this study was done. They describe method, never whether we like the result.

How it was studied

Design
Meta-analysis (indexed by PubMed)
Studied in
People
Main outcome
Health markers and function

Who paid for it

Funding
Funding not disclosed

Publication

Published
2017-12-28 · Int J Sports Physiol Perform · vol. 13 · issue 7 · pp. 917–925
Publisher
Human Kinetics
Cited
15 citations · more than 80% of similar papers · 1.3× the field average
References
36 works
Access
Open access (repository copy)
Research areas
Exercise and Physiological Responses · Thermoregulation and physiological responses · Sports injuries and prevention
Keywords
Immersion (mathematics), Core temperature, Medicine, Mean difference, Internal medicine, Confidence interval, Mathematics
MeSH
humans, water, exercise, immersion, body temperature regulation, muscle fatigue, time factors, adult, male, cold temperature, young adult, myalgia

13 authors

From AU, IE

  • Jessica Stephens · correspondingUniversity of the Sunshine Coast
  • Ken SharpeThe University of Melbourne
  • Christopher J. GoreUniversity of Canberra
  • Joanna Miller
  • Gary J. SlaterUniversity of the Sunshine Coast
  • Nathan G. Versey

Abstract

Purpose

To examine the effect of postexercise cold-water immersion (CWI) protocols, compared with control (CON), on the magnitude and time course of core temperature (Tc) responses.

Methods

Pooled-data analyses were used to examine the Tc responses of 157 subjects from previous postexercise CWI trials in the authors' laboratories. CWI protocols varied with different combinations of temperature, duration, immersion depth, and mode (continuous vs intermittent). Tc was examined as a double difference (ΔΔTc), calculated as the change in Tc in CWI condition minus the corresponding change in CON. The effect of CWI on ΔΔTc was assessed using separate linear mixed models across 2 time components (component 1, immersion; component 2, postintervention).

Results

Intermittent CWI resulted in a mean decrease in ΔΔTc that was 0.25°C (0.10°C) (estimate [SE]) greater than continuous CWI during the immersion component (P = .02). There was a significant effect of CWI temperature during the immersion component (P = .05), where reductions in water temperature of 1°C resulted in decreases in ΔΔTc of 0.03°C (0.01°C). Similarly, the effect of CWI duration was significant during the immersion component (P = .01), where every 1 min of immersion resulted in a decrease in ΔΔTc of 0.02°C (0.01°C). The peak difference in Tc between the CWI and CON interventions during the postimmersion component occurred at 60 min postintervention.

Conclusions

Variations in CWI mode, duration, and temperature may have a significant effect on the extent of change in Tc. Careful consideration should be given to determine the optimal amount of core cooling before deciding which combination of protocol factors to prescribe.

Abstract via Europe PMC. Copyright remains with the authors or publisher.

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