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通过冰上测试预测女子冰球运动员的滑冰表现。

Prediction of ice skating performance with off-ice testing in women's ice hockey players.

作者信息

Bracko M R, George J D

机构信息

Institute for Hockey Research, Calgary, Alberta, Canada.

出版信息

J Strength Cond Res. 2001 Feb;15(1):116-22.

PMID:11708693
Abstract

Off-ice predictors of skating performance have not been investigated for women's hockey players. The purpose of this study was to identify the off-ice variables associated with high-performance skating acceleration, speed, agility, and on-ice anaerobic capacity and power in women's ice hockey players. Sixty-one women's ice hockey players between the ages of 8 and 16 years (x age = 12.18 +/- 2.05 years, x playing experience = 4.68 +/- 2.69 years) participated in the study. Subjects were 1-4 months postseason. Some players were continuing to play once per week during the off-season. Skating tests (ST) included (a) 6.10-m acceleration, (b) 47.85-m speed, (c) agility cornering S turn, and (d) modified repeat skate test (MRS). Two trials of each ST were measured with a photoelectric timing system (except MRS, which was measured with 1 trial). The off-ice variables that were evaluated included age, years of playing experience, height, body mass, predicted fat percentage, sit-and-reach flexibility, vertical jump height, 40-yd dash time, and 1-minute timed sit-ups and push-ups. The results of this study show that 40-yd dash time is the strongest predictor of skating speed in women's hockey players ages 8-16 years old. From the regression procedure the best prediction equation was speed = 4.913 - (0.0107 x kilograms) + (0.4356 x 40-yd dash time).

摘要

尚未对女子曲棍球运动员冰上滑行表现的场下预测因素进行研究。本研究的目的是确定与女子冰球运动员的高性能滑行加速、速度、敏捷性以及冰上无氧能力和力量相关的场下变量。61名年龄在8至16岁之间的女子冰球运动员(平均年龄 = 12.18 +/- 2.05岁,平均比赛经验 = 4.68 +/- 2.69年)参与了该研究。受试者处于季后赛结束后1 - 4个月。一些运动员在休赛期仍每周训练一次。滑行测试(ST)包括:(a)6.10米加速测试,(b)47.85米速度测试,(c)敏捷性转弯S形测试,以及(d)改良重复滑行测试(MRS)。每个ST测试进行两次(MRS测试进行一次),使用光电计时系统测量。所评估的场下变量包括年龄、比赛年限、身高、体重、预测脂肪百分比、坐立前屈灵活性、垂直跳高度、40码冲刺时间、1分钟定时仰卧起坐和俯卧撑。本研究结果表明,40码冲刺时间是8至16岁女子曲棍球运动员滑行速度的最强预测因素。通过回归程序得出的最佳预测方程为:速度 = 4.913 - (0.0107×千克数) + (0.4356×40码冲刺时间)。

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