Objectives The purpose of this study was to examine whether field-based and/or laboratory-based assessments are valid tools for predicting key performance characteristics of skating in competitive-level female hockey players. Design Cross-sectional study. Methods Twenty-three female ice hockey players aged 15–25 years (body mass: 66.1±6.3 kg; height: 169.5±5.5 cm), with 10.6±3.2 years playing experience volunteered to participate in the study. The field-based assessments included 20 m sprint, squat jump, countermovement jump, 30-second repeated jump test, standing long jump, single-leg standing long jump, 20 m shuttle run test, isometric leg pull, one-repetition maximum bench press, and one-repetition maximum squats. The laboratory-based assessments included body composition (dual energy X-ray absorptiometry), maximal aerobic power, and isokinetic strength (Biodex). The on-ice tests included agility cornering s-turn, cone agility skate, transition agility skate, and modified repeat skate sprint. Data were analyzed using stepwise multivariate linear regression analysis. Linear regression analysis was used to establish the relationship between key performance characteristics of skating and the predictor variables. Results Regression models (adj R2) for the on-ice variables ranged from 0.244 to 0.663 for the field-based assessments and from 0.136 to 0.420 for the laboratory-based assessments. Single-leg tests were the strongest predictors for key performance characteristics of skating. Single leg standing long jump alone explained 57.1%, 38.1%, and 29.1% of the variance in skating time during transition agility skate, agility cornering s-turn, and modified repeat skate sprint, respectively. Isokinetic peak torque in the quadriceps at 90° explained 42.0% and 32.2% of the variance in skating time during agility cornering s-turn and modified repeat skate sprint, respectively. Conclusion Field-based assessments, particularly single-leg tests, are an adequate substitute to more expensive and time-consuming laboratory assessments if the purpose is to gain knowledge about key performance characteristics of skating.

中文翻译：

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基于实验室和田间测试的竞技冰球运动员滑冰表现的预测指标

目的这项研究的目的是检查基于田野和/或基于实验室的评估是否是预测竞技水平女曲棍球运动员滑冰关键性能特征的有效工具。设计横断面研究。方法23名年龄15至25岁的冰球女运动员（体重：66.1±6.3千克；身高：169.5±5.5厘米），具有10.6±3.2岁的打球经验被自愿参加研究。基于现场的评估包括20 m短跑，下蹲跳，反向运动跳，30秒重复跳测试，站立跳远，单腿站立跳远，20 m滑跑测试，等距腿拉力，最大重复卧推次数和最大重复蹲数。基于实验室的评估包括身体成分（双能X射线吸收法），最大有氧能力，和等速强度（Biodex）。冰上测试包括转弯敏捷转弯，锥面敏捷滑冰，过渡敏捷滑冰和改进的重复滑冰短跑。使用逐步多元线性回归分析来分析数据。线性回归分析用于建立滑冰关键性能特征与预测变量之间的关系。结果基于现场评估的冰上变量的回归模型（adj R2）范围从0.244至0.663，而基于实验室评估的回归模型范围从0.136至0.420。单腿测试是滑冰关键性能特征的最强预测指标。在过渡敏捷滑冰，敏捷弯道转弯和改良式重复滑冰短跑期间，单腿站立跳远可以解释滑冰时间变化的57.1％，38.1％和29.1％，分别。在90°时，四头肌的等速运动峰值扭矩分别解释了敏捷转弯和改良式轮滑短跑期间溜冰时间变化的42.0％和32.2％。结论如果目的是获得有关滑冰关键性能特征的知识，则基于现场的评估，尤其是单腿测试，可以替代更昂贵且耗时的实验室评估。