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24小时超级马拉松长跑中的配速策略

Pacing Strategy During 24-Hour Ultramarathon-Distance Running.

作者信息

Bossi Arthur H, Matta Guilherme G, Millet Guillaume Y, Lima Pedro, Pertence Leonardo C, de Lima Jorge P, Hopker James G

出版信息

Int J Sports Physiol Perform. 2017 May;12(5):590-596. doi: 10.1123/ijspp.2016-0237. Epub 2016 Sep 6.

DOI:10.1123/ijspp.2016-0237
PMID:27618658
Abstract

PURPOSE

To describe pacing strategy in a 24-h running race and its interaction with sex, age group, athletes' performance group, and race edition.

METHODS

Data from 398 male and 103 female participants of 5 editions were obtained based on a minimum 19.2-h effective-running cutoff. Mean running speed from each hour was normalized to the 24-h mean speed for analyses.

RESULTS

Mean overall performance was 135.6 ± 33.0 km with a mean effective-running time of 22.4 ± 1.3 h. Overall data showed a reverse J-shaped pacing strategy, with a significant reduction in speed from the second-to-last to the last hour. Two-way mixed ANOVAs showed significant interactions between racing time and both athlete performance group (F = 7.01, P < .001, η = .04) and race edition (F = 3.01, P < .001, η = .02) but not between racing time and either sex (F = 1.57, P = .058, ηp 2 < .01) or age group (F = 1.25, P = .053, η = .01). Pearson product-moment correlations showed an inverse moderate association between performance and normalized mean running speed in the first 2 h (r = -.58, P < .001) but not in the last 2 h (r = .03, P = .480).

CONCLUSIONS

While the general behavior represents a rough reverse J-shaped pattern, the fastest runners start at lower relative intensities and display a more even pacing strategy than slower runners. The "herd behavior" seems to interfere with pacing strategy across editions, but not sex or age group of runners.

摘要

目的

描述24小时长跑比赛中的配速策略及其与性别、年龄组、运动员成绩组和比赛届次的相互作用。

方法

基于至少19.2小时的有效跑步时长标准,获取了5届比赛中398名男性和103名女性参与者的数据。将每小时的平均跑步速度标准化为24小时平均速度进行分析。

结果

平均总成绩为135.6±33.0公里,平均有效跑步时间为22.4±1.3小时。总体数据显示出倒J形配速策略,从倒数第二小时到最后一小时速度显著下降。双向混合方差分析显示,比赛时间与运动员成绩组(F = 7.01,P <.001,η =.04)和比赛届次(F = 3.01,P <.001,η =.02)之间存在显著交互作用,但比赛时间与性别(F = 1.57,P =.058,ηp2 <.01)或年龄组(F = 1.25,P =.053,η =.01)之间不存在显著交互作用。Pearson积差相关分析显示,成绩与前两小时标准化平均跑步速度之间呈中度负相关(r = -.58,P <.001),但后两小时不存在相关性(r =.03,P =.480)。

结论

虽然总体行为呈现出大致的倒J形模式,但最快的跑步者起跑时相对强度较低,并且比速度较慢的跑步者表现出更均匀的配速策略。“从众行为”似乎会影响不同届次比赛的配速策略,但不会影响跑步者的性别或年龄组。

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