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我们能否预测模拟冲浪空中动作的着水性能?

Can we predict the landing performance of simulated aerials in surfing?

机构信息

Biomechanics Research Laboratory, Faculty of Science, Medicine & Health, University of Wollongong, Wollongong, NSW, Australia.

Department of Biomechanics & Performance Analysis, Canadian Sports Institute Pacific, Victoria, BC, Canada.

出版信息

J Sports Sci. 2021 Nov;39(22):2567-2576. doi: 10.1080/02640414.2021.1945204. Epub 2021 Jun 26.

DOI:10.1080/02640414.2021.1945204
PMID:34180364
Abstract

This study explored which technical and physical attributes could predict superior and/or safe landing performance when surfers performed variations of a simulated aerial task. Fourteen surfers (age 20.6 ± 5.7 years, height 178.1 ± 9.50 cm, mass 70.6 ± 10.8 kg) had their lower limb mobility, squat jump, countermovement jump, and drop-and-stick landing performance assessed. Performance of two aerial variations (Frontside Air (FA) and Frontside Air Reverse (FAR)) was also measured, with variables relating to technical performance (critical feature and subjective ratings) and potential injury risk (relative total peak landing force and loading rates) collected. Multiple linear regressions were used to predict performance of both aerial variations based on a subset of independent variables. Four models could predict performance. Predicted technical capability in the FAR was mostly influenced by lead limb hip extension and lead limb knee flexion range of motion. Potential injury risk when surfers perform an FA and FAR was predicted to be mitigated by increasing lead ankle dorsiflexion range of motion, as well as trail hip extensor mobility to reduce the relative total peak force experienced when landing the FA. These simple outcome measures could be routinely assessed to ensure successful and safe aerial landings in surfing.

摘要

本研究探讨了冲浪者在执行模拟空翻任务的各种变化时,哪些技术和物理属性可以预测出色和/或安全的着陆表现。14 名冲浪者(年龄 20.6±5.7 岁,身高 178.1±9.50 厘米,体重 70.6±10.8 公斤)评估了其下肢活动度、深蹲跳、纵跳和下撑着地表现。还测量了两种空翻变化(前空翻(FA)和前空翻反转(FAR))的表现,收集了与技术表现(关键特征和主观评价)和潜在受伤风险(相对总峰值着陆力和加载率)相关的变量。使用多元线性回归根据一组子集的独立变量来预测两种空翻变化的表现。有四个模型可以预测 FAR 的表现。在 FAR 中,预测的技术能力主要受领先腿髋关节伸展和领先腿膝关节屈曲运动范围的影响。当冲浪者执行 FA 和 FAR 时,通过增加领先脚踝背屈运动范围以及减轻跟腱伸展肌的活动性来降低 FA 着陆时所经历的相对总峰值力,可以预测潜在的受伤风险。这些简单的结果测量可以常规评估,以确保冲浪时成功和安全的空翻着陆。

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