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高强度耐力能力评估在精英青年女足人才识别中的应用。

High-intensity endurance capacity assessment as a tool for talent identification in elite youth female soccer.

机构信息

Institute of Sport, University of Chichester , Chichester, UK.

School of Health and Social Care, Teesside University , Middlesbrough, UK.

出版信息

J Sports Sci. 2020 Jun-Jun;38(11-12):1313-1319. doi: 10.1080/02640414.2019.1656323. Epub 2019 Aug 26.

DOI:10.1080/02640414.2019.1656323
PMID:31451097
Abstract

Talent identification and development programmes have received broad attention in the last decades, yet evidence regarding the predictive utility of physical performance in female soccer players is limited. Using a retrospective design, we appraised the predictive value of performance-related measures in a sample of 228 youth female soccer players previously involved in residential Elite Performance Camps (age range: 12.7-15.3 years). With 10-m sprinting, 30-m sprinting, counter-movement jump height, and Yo-Yo Intermittent Recovery Test Level 1 (IR1) distance as primary predictor variables, the Akaike Information Criterion (AIC) assessed the relative quality of four penalised logistic regression models for determining future competitive international squads U17-U20 level selection. The model including Yo-Yo IR1 was the best for predicting career outcome. Predicted probabilities of future selection to the international squad increased with higher Yo-Yo IR1 distances, from 4.5% (95% confidence interval, 0.8 to 8.2%) for a distance lower than 440 m to 64.7% (95% confidence interval, 47.3 to 82.1%) for a score of 2040 m. The present study highlights the predictive utility of high-intensity endurance capacity for informing career progression in elite youth female soccer and provides reference values for staff involved in the talent development of elite youth female soccer players.

摘要

在过去几十年中,人才识别和发展计划受到了广泛关注,但关于身体素质在女性足球运动员中的预测效用的证据有限。本研究采用回顾性设计,评估了相关表现指标在 228 名曾参加精英表现营的青年女性足球运动员样本中的预测价值(年龄范围:12.7-15.3 岁)。10 米冲刺、30 米冲刺、深蹲跳高度和 Yo-Yo 间歇性恢复测试 1 级(IR1)距离作为主要预测变量,Akaike 信息准则(AIC)评估了四个惩罚逻辑回归模型的相对质量,用于确定未来的竞争国际队伍 U17-U20 水平选拔。包含 Yo-Yo IR1 的模型是预测职业结果的最佳模型。未来入选国际队的预测概率随着 Yo-Yo IR1 距离的增加而增加,从低于 440 米的距离的 4.5%(95%置信区间,0.8 至 8.2%)增加到 2040 米的距离的 64.7%(95%置信区间,47.3 至 82.1%)。本研究强调了高强度耐力能力对告知精英青年女足运动员职业发展的预测效用,并为参与精英青年女足运动员人才发展的人员提供了参考值。

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