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越野跑表现的生理指标:系统评价。

Physiological Indicators of Trail Running Performance: A Systematic Review.

出版信息

Int J Sports Physiol Perform. 2021 Mar 1;16(3):325-332. doi: 10.1123/ijspp.2020-0812. Epub 2021 Jan 28.

Abstract

PURPOSE

To provide a systematic overview of physiological parameters used to determine the training status of a trail runner and how well these parameters correlate with real-world trail running performance.

METHOD

An electronic literature search of the PubMed and Scopus digital databases was performed. Combinations of the terms "trail run" or "trail runner" or "trail running" and "performance" were used as search terms. Seven studies met the inclusion criteria.

RESULTS

Trail running performance most commonly correlated (mean [SD]) with maximal aerobic capacity (71%; r = -.50 [.32]), lactate threshold (57%; r = -.48 [.28]), velocity at maximal aerobic capacity (43%; r = -.68 [.08]), running economy (43%; r = -.31 [.22]), body fat percentage (43%; r = .55 [.21]), and age (43%; r = .52 [.14]). Regression analyses in 2 studies were based on a single variable predicting 48% to 60% of performance variation, whereas 5 studies included multiple variable regression analyses predicting 48% to 99% of performance variation.

CONCLUSIONS

Trail running performance is multifaceted. The classic endurance model shows a weaker association with performance in trail running than in road running. Certain variables associated with trail running research (such as testing procedures, race profiles, and study participants) hinder the execution of comparative studies. Future research should employ trail-specific testing protocols and clear, objective descriptions of both the race profile and participants' training status.

摘要

目的

系统概述用于确定越野跑运动员训练状态的生理参数,以及这些参数与实际越野跑表现的相关性。

方法

对 PubMed 和 Scopus 数字数据库进行电子文献检索。使用“越野跑”或“越野跑运动员”或“越野跑”和“表现”的组合术语作为搜索词。有 7 项研究符合纳入标准。

结果

越野跑表现最常与最大有氧能力(71%;r = -.50 [.32])、乳酸阈(57%;r = -.48 [.28])、最大有氧能力时的速度(43%;r = -.68 [.08])、跑步经济性(43%;r = -.31 [.22])、体脂百分比(43%;r =.55 [.21])和年龄(43%;r =.52 [.14])相关。2 项研究中的回归分析基于单一变量预测 48%至 60%的表现变化,而 5 项研究包括多元回归分析预测 48%至 99%的表现变化。

结论

越野跑表现是多方面的。经典的耐力模型与越野跑表现的相关性比路跑表现弱。与越野跑研究相关的某些变量(例如测试程序、比赛概况和研究参与者)阻碍了比较研究的进行。未来的研究应采用特定于越野的测试方案,并清楚、客观地描述比赛概况和参与者的训练状态。

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