Meta-analysis2015

Optimizing Cold Water Immersion for Exercise-Induced Hyperthermia: A Meta-analysis

Zhang Y, Davis JK, Casa DJ, Bishop PA

Medicine and science in sports and exercise · 36 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
2015-04-24 · Med Sci Sports Exerc · vol. 47 · issue 11 · pp. 2464–2472
Publisher
Lippincott Williams & Wilkins
Cited
50 citations · more than 87% of similar papers · 2.2× the field average
References
62 works
Access
Paywalled
Research areas
Thermoregulation and physiological responses · Exercise and Physiological Responses · Thermal Regulation in Medicine
Keywords
Confidence interval, Medicine, Mean difference, Immersion (mathematics), Hyperthermia, Internal medicine, Mathematics
MeSH
humans, fever, water, body surface area, exercise, cryotherapy, immersion, body temperature regulation, adult, cold temperature

4 authors

From US

  • Yang ZhangGatorade Sports Science Institute
  • Jon-Kyle DavisGatorade Sports Science Institute
  • Douglas J. CasaUniversity of Connecticut
  • Phillip A. BishopUniversity of Alabama

Abstract

Purpose

Cold water immersion (CWI) provides rapid cooling in events of exertional heat stroke. Optimal procedures for CWI in the field are not well established. This meta-analysis aimed to provide structured analysis of the effectiveness of CWI on the cooling rate in healthy adults subjected to exercise-induced hyperthermia.

Methods

An electronic search (December 2014) was conducted using the PubMed and Web of Science. The mean difference of the cooling rate between CWI and passive recovery was calculated. Pooled analyses were based on a random-effects model. Sources of heterogeneity were identified through a mixed-effects model Q statistic. Inferential statistics aggregated the CWI cooling rate for extrapolation.

Results

Nineteen studies qualified for inclusion. Results demonstrate CWI elicited a significant effect: mean difference, 0.03°C·min(-1); 95% confidence interval, 0.03-0.04°C·min(-1). A conservative, observed estimate of the CWI cooling rate was 0.08°C·min(-1) across various conditions. CWI cooled individuals twice as fast as passive recovery. Subgroup analyses revealed that cooling was more effective (Q test P < 0.10) when preimmersion core temperature ≥38.6°C, immersion water temperature ≤10°C, ambient temperature ≥20°C, immersion duration ≤10 min, and using torso plus limbs immersion. There is insufficient evidence of effect using forearms/hands CWI for rapid cooling: mean difference, 0.01°C·min(-1); 95% confidence interval, -0.01°C·min(-1) to 0.04°C·min(-1). A combined data summary, pertaining to 607 subjects from 29 relevant studies, was presented for referencing the weighted cooling rate and recovery time, aiming for practitioners to better plan emergency procedures.

Conclusions

An optimal procedure for yielding high cooling rates is proposed. Using prompt vigorous CWI should be encouraged for treating exercise-induced hyperthermia whenever possible, using cold water temperature (approximately 10°C) and maximizing body surface contact (whole-body immersion).

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

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