Cargando…
Analysis of the kinematic variables that predict jump serve efficacy among volleyball players
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...
Autores principales: | , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Lippincott Williams & Wilkins
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10402994/ https://www.ncbi.nlm.nih.gov/pubmed/37543819 http://dx.doi.org/10.1097/MD.0000000000034471 |
_version_ | 1785084964425957376 |
---|---|
author | Bari, Mohd Arshad Al Mijbilee, Ali Azeez Aneed Nuhmani, Shibili Iqbal, Amir Alghadir, Ahmad H. |
author_facet | Bari, Mohd Arshad Al Mijbilee, Ali Azeez Aneed Nuhmani, Shibili Iqbal, Amir Alghadir, Ahmad H. |
author_sort | Bari, Mohd Arshad |
collection | PubMed |
description | 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). |
format | Online Article Text |
id | pubmed-10402994 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Lippincott Williams & Wilkins |
record_format | MEDLINE/PubMed |
spelling | pubmed-104029942023-08-05 Analysis of the kinematic variables that predict jump serve efficacy among volleyball players Bari, Mohd Arshad Al Mijbilee, Ali Azeez Aneed Nuhmani, Shibili Iqbal, Amir Alghadir, Ahmad H. Medicine (Baltimore) 7000 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). Lippincott Williams & Wilkins 2023-08-04 /pmc/articles/PMC10402994/ /pubmed/37543819 http://dx.doi.org/10.1097/MD.0000000000034471 Text en Copyright © 2023 the Author(s). Published by Wolters Kluwer Health, Inc. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License 4.0 (CCBY) (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. This article is made available via the PMC Open Access Subset for unrestricted re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the COVID-19 pandemic or until permissions are revoked in writing. Upon expiration of these permissions, PMC is granted a perpetual license to make this article available via PMC and Europe PMC, consistent with existing copyright protections. |
spellingShingle | 7000 Bari, Mohd Arshad Al Mijbilee, Ali Azeez Aneed Nuhmani, Shibili Iqbal, Amir Alghadir, Ahmad H. Analysis of the kinematic variables that predict jump serve efficacy among volleyball players |
title | Analysis of the kinematic variables that predict jump serve efficacy among volleyball players |
title_full | Analysis of the kinematic variables that predict jump serve efficacy among volleyball players |
title_fullStr | Analysis of the kinematic variables that predict jump serve efficacy among volleyball players |
title_full_unstemmed | Analysis of the kinematic variables that predict jump serve efficacy among volleyball players |
title_short | Analysis of the kinematic variables that predict jump serve efficacy among volleyball players |
title_sort | analysis of the kinematic variables that predict jump serve efficacy among volleyball players |
topic | 7000 |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10402994/ https://www.ncbi.nlm.nih.gov/pubmed/37543819 http://dx.doi.org/10.1097/MD.0000000000034471 |
work_keys_str_mv | AT barimohdarshad analysisofthekinematicvariablesthatpredictjumpserveefficacyamongvolleyballplayers AT almijbileealiazeezaneed analysisofthekinematicvariablesthatpredictjumpserveefficacyamongvolleyballplayers AT nuhmanishibili analysisofthekinematicvariablesthatpredictjumpserveefficacyamongvolleyballplayers AT iqbalamir analysisofthekinematicvariablesthatpredictjumpserveefficacyamongvolleyballplayers AT alghadirahmadh analysisofthekinematicvariablesthatpredictjumpserveefficacyamongvolleyballplayers |