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分析预测排球运动员跳发球效果的运动学变量。

Analysis of the kinematic variables that predict jump serve efficacy among volleyball players.

机构信息

Department of Physical Education, Aligarh Muslim University, Aligarh, Uttar Pradesh, India.

Department of Physical Therapy, College of Applied Medical Sciences, Imam Abdulrahman Bin Faisal University, Dammam, Saudi Arabia.

出版信息

Medicine (Baltimore). 2023 Aug 4;102(31):e34471. doi: 10.1097/MD.0000000000034471.

Abstract

In volleyball, a strong correlation exists between the proper application of kinematics factors and the serve results. Therefore, this study compared the kinematics parameters of the volleyball jump serve among different functional classes and established an appropriate multilinear regression model of performance. This correlational observational study involved thirty male collegiate volleyball players categorized into under twenty-three (U-23) men, under twenty-one (U-21) junior men, and under nineteen (U-19) youth boys. Data acquisition entailed the utilization of synchronized cameras to capture the volleyball serves meticulously, while subsequent data analysis was conducted through the implementation of silicon coach-pro 8 motion analysis software. Analysis of variance and multiple linear regressions were performed to analyze data, with a predetermined significance level of P < .05. Jump serve analysis showed significant mean differences in selected major kinematic variables among all 3 classes (U-23 men, U-21 junior men, and U-19 youth boys). U-23 men Model-3, which includes 3 independent variables (approach velocity [AV], shoulder extension angles during the cocking phase, and center of gravity [CG] height), predicted velocity with an R-square of 1.00, indicating that the selected independent variable caused 100% variation in ball velocity (BV), whereas models 1 and 2 showed 99% variation in BV, respectively. The U-21 Junior men Model-2, which includes 2 independent variables (height of CG and shoulder extension angles during the cocking phase), predicted velocity with an R-square of 9.80, indicating that the selected independent variable caused a 98% variation in BV. In contrast, model 1 showed a 94% variation in BV, respectively. U-19 youth boys Model-1, which includes one independent variable (AV), predicted velocity with an R-square of 0.89, indicating that the selected independent variable caused 89% variation in BV. The jump serve exhibits similar biomechanical characteristics across different classes. However, the major independent variables of the jump serve: U-23 men were AV, shoulder extension angles at cocking phase (SEACP), the height of CG, U-21 junior men were SEACP and height of CG, and U-19 youth boys were SEACP and height of CG AV showed significant with the dependent variable (BV).

摘要

在排球中,运动学因素的正确应用与发球效果之间存在很强的相关性。因此,本研究比较了不同功能级别排球跳发球的运动学参数,并建立了一个合适的表现多线性回归模型。这项相关性观察研究涉及三十名男性大学生排球运动员,分为 23 岁以下(U-23)男性、21 岁以下(U-21)青年男性和 19 岁以下(U-19)青年男孩。数据采集涉及使用同步摄像机仔细捕捉排球发球,随后通过硅教练专业 8 运动分析软件进行数据分析。使用方差分析和多元线性回归分析来分析数据,预设显著水平为 P <.05。跳发球分析显示,所有 3 个类别(U-23 男性、U-21 青年男性和 U-19 青年男孩)之间的一些主要运动学变量存在显著的均值差异。U-23 男性模型 3,包含 3 个独立变量(助跑速度[AV]、抛球阶段肩部伸展角度和重心[CG]高度),以 1.00 的 R 平方预测速度,这表明所选的独立变量导致球速(BV)的 100%变化,而模型 1 和 2 分别显示 BV 的 99%变化。U-21 青年男性模型 2,包含 2 个独立变量(CG 高度和抛球阶段肩部伸展角度),以 9.80 的 R 平方预测速度,这表明所选的独立变量导致 BV 变化 98%。相比之下,模型 1 分别显示 BV 变化 94%。U-19 青年男孩模型 1,包含一个独立变量(AV),以 0.89 的 R 平方预测速度,这表明所选的独立变量导致 BV 变化 89%。跳发球在不同级别中表现出相似的生物力学特征。然而,跳发球的主要独立变量:U-23 男性是 AV、抛球阶段肩部伸展角度(SEACP)、CG 高度,U-21 青年男性是 SEACP 和 CG 高度,U-19 青年男孩是 SEACP 和 CG 高度 AV 与因变量(BV)显著相关。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/763c/10402994/0124ced29074/medi-102-e34471-g001.jpg

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