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核心体温对冷水浸泡恢复的反应:汇总数据分析。

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

出版信息

Int J Sports Physiol Perform. 2018 Aug 1;13(7):917-925. doi: 10.1123/ijspp.2017-0661. Epub 2018 Jul 30.

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 (T) responses.

METHODS

Pooled-data analyses were used to examine the T 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). T was examined as a double difference (ΔΔT), calculated as the change in T in CWI condition minus the corresponding change in CON. The effect of CWI on ΔΔT 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 ΔΔT 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 ΔΔT 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 ΔΔT of 0.02°C (0.01°C). The peak difference in T 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 T. Careful consideration should be given to determine the optimal amount of core cooling before deciding which combination of protocol factors to prescribe.

摘要

目的

研究与对照(CON)相比,运动后冷水浸泡(CWI)方案对核心温度(T)反应幅度和时程的影响。

方法

使用汇总数据分析了作者实验室之前的 157 项运动后 CWI 试验中受试者的 T 反应。CWI 方案因温度、持续时间、浸泡深度和模式(连续与间歇)的不同组合而有所不同。T 作为双差异(ΔΔT)进行检查,计算方法为 CWI 条件下的 T 变化减去 CON 条件下的相应变化。使用单独的线性混合模型在 2 个时间成分(成分 1,浸泡;成分 2,干预后)上评估 CWI 对ΔΔT 的影响。

结果

间歇式 CWI 在浸泡成分中导致ΔΔT 的平均下降比连续式 CWI 大 0.25°C(0.10°C)(估计值[SE])(P = .02)。浸泡成分中的 CWI 温度有显著影响(P = .05),水温降低 1°C 导致ΔΔT 降低 0.03°C(0.01°C)。同样,浸泡成分中的 CWI 持续时间也有显著影响(P = .01),每次浸泡增加 1 分钟导致ΔΔT 降低 0.02°C(0.01°C)。在干预后浸泡成分中,CWI 和 CON 干预之间 T 的最大差异发生在干预后 60 分钟。

结论

CWI 模式、持续时间和温度的变化可能对 T 变化幅度有显著影响。在决定规定哪种方案因素组合之前,应仔细考虑确定核心冷却的最佳量。

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