A cluster analysis of identifying team and individual sports athlete based on anthropometric, health and skill related components

The purpose of this study is to identify the essential fitness attributes in an individual sport and team sport. A total number of 218 male competitive youth athletes aged 13 to 21 years old were examined anthropometric, health and skill-related performance parameters (PP). Anthropometric parameters...

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Main Authors: Noor Aishah, Kamarudin, Mohamad Razali, Abdullah, Eswaramoorthi, Vijayamurugan, Ahmad Bisyri Husin Musawi, Maliki, Aina Munirah, Ab Rasid, Abdul Majeed, Anwar P. P., Mohd Azraai, Mohd Razman, Musa, Rabiu Muazu
Format: Conference or Workshop Item
Language:English
English
Published: Springer Science and Business Media Deutschland GmbH 2022
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Online Access:http://umpir.ump.edu.my/id/eprint/39461/1/A%20Cluster%20Analysis%20of%20Identifying%20Team%20and%20Individual%20Sports%20Athlete%20Based.pdf
http://umpir.ump.edu.my/id/eprint/39461/2/A%20cluster%20analysis%20of%20identifying%20team%20and%20individual%20sports%20athlete%20based%20on%20anthropometric%2C%20health%20and%20skill%20related%20components_ABS.pdf
http://umpir.ump.edu.my/id/eprint/39461/
https://doi.org/10.1007/978-981-19-2095-0_48
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spelling my.ump.umpir.394612023-12-01T03:39:54Z http://umpir.ump.edu.my/id/eprint/39461/ A cluster analysis of identifying team and individual sports athlete based on anthropometric, health and skill related components Noor Aishah, Kamarudin Mohamad Razali, Abdullah Eswaramoorthi, Vijayamurugan Ahmad Bisyri Husin Musawi, Maliki Aina Munirah, Ab Rasid Abdul Majeed, Anwar P. P. Mohd Azraai, Mohd Razman Musa, Rabiu Muazu T Technology (General) TA Engineering (General). Civil engineering (General) TJ Mechanical engineering and machinery TK Electrical engineering. Electronics Nuclear engineering TS Manufactures The purpose of this study is to identify the essential fitness attributes in an individual sport and team sport. A total number of 218 male competitive youth athletes aged 13 to 21 years old were examined anthropometric, health and skill-related performance parameters (PP). Anthropometric parameters namely, weight, height, sitting height, and arm span were tested while the health-related parameters consisting of sit and reach, 1 min sit up, push up, handgrip, predicted VO2max, and medicine ball throw were also collected. The 20 m speed, vertical jump, standing wide jump, stork stand test, and t-test represented the skill-related component tests. Based on the three components, hierarchical agglomerative cluster analysis (HACA) was utilized to group the athlete concerning their similarities in the PP examined. The athletes’ performance within the clusters differs in three areas: age and arm span are significant in individual sports while height, weight, and sitting height are vital for team sports. Muscle endurance is shown to be essential in individual sports. Meanwhile, vertical jump and 20 m speed are more attributed to individual sports while standing broad jump, stork stand test, and t-test are more inclined to team sports. Some fundamental traits could determine the type of sport suitable for athletes. These traits should be prioritized for identifying team or individual sports athletes. The findings could aid coaches in making decisions about the types of sports that could best suit an athlete for better performance delivery. Springer Science and Business Media Deutschland GmbH 2022 Conference or Workshop Item PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/39461/1/A%20Cluster%20Analysis%20of%20Identifying%20Team%20and%20Individual%20Sports%20Athlete%20Based.pdf pdf en http://umpir.ump.edu.my/id/eprint/39461/2/A%20cluster%20analysis%20of%20identifying%20team%20and%20individual%20sports%20athlete%20based%20on%20anthropometric%2C%20health%20and%20skill%20related%20components_ABS.pdf Noor Aishah, Kamarudin and Mohamad Razali, Abdullah and Eswaramoorthi, Vijayamurugan and Ahmad Bisyri Husin Musawi, Maliki and Aina Munirah, Ab Rasid and Abdul Majeed, Anwar P. P. and Mohd Azraai, Mohd Razman and Musa, Rabiu Muazu (2022) A cluster analysis of identifying team and individual sports athlete based on anthropometric, health and skill related components. In: Lecture Notes in Electrical Engineering; Innovative Manufacturing, Mechatronics and Materials Forum, iM3F 2021, 20 September 2021 , Gambang. pp. 561-570., 900 (277979). ISSN 1876-1100 ISBN 978-981192094-3 https://doi.org/10.1007/978-981-19-2095-0_48
institution Universiti Malaysia Pahang Al-Sultan Abdullah
building UMPSA Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Pahang Al-Sultan Abdullah
content_source UMPSA Institutional Repository
url_provider http://umpir.ump.edu.my/
language English
English
topic T Technology (General)
TA Engineering (General). Civil engineering (General)
TJ Mechanical engineering and machinery
TK Electrical engineering. Electronics Nuclear engineering
TS Manufactures
spellingShingle T Technology (General)
TA Engineering (General). Civil engineering (General)
TJ Mechanical engineering and machinery
TK Electrical engineering. Electronics Nuclear engineering
TS Manufactures
Noor Aishah, Kamarudin
Mohamad Razali, Abdullah
Eswaramoorthi, Vijayamurugan
Ahmad Bisyri Husin Musawi, Maliki
Aina Munirah, Ab Rasid
Abdul Majeed, Anwar P. P.
Mohd Azraai, Mohd Razman
Musa, Rabiu Muazu
A cluster analysis of identifying team and individual sports athlete based on anthropometric, health and skill related components
description The purpose of this study is to identify the essential fitness attributes in an individual sport and team sport. A total number of 218 male competitive youth athletes aged 13 to 21 years old were examined anthropometric, health and skill-related performance parameters (PP). Anthropometric parameters namely, weight, height, sitting height, and arm span were tested while the health-related parameters consisting of sit and reach, 1 min sit up, push up, handgrip, predicted VO2max, and medicine ball throw were also collected. The 20 m speed, vertical jump, standing wide jump, stork stand test, and t-test represented the skill-related component tests. Based on the three components, hierarchical agglomerative cluster analysis (HACA) was utilized to group the athlete concerning their similarities in the PP examined. The athletes’ performance within the clusters differs in three areas: age and arm span are significant in individual sports while height, weight, and sitting height are vital for team sports. Muscle endurance is shown to be essential in individual sports. Meanwhile, vertical jump and 20 m speed are more attributed to individual sports while standing broad jump, stork stand test, and t-test are more inclined to team sports. Some fundamental traits could determine the type of sport suitable for athletes. These traits should be prioritized for identifying team or individual sports athletes. The findings could aid coaches in making decisions about the types of sports that could best suit an athlete for better performance delivery.
format Conference or Workshop Item
author Noor Aishah, Kamarudin
Mohamad Razali, Abdullah
Eswaramoorthi, Vijayamurugan
Ahmad Bisyri Husin Musawi, Maliki
Aina Munirah, Ab Rasid
Abdul Majeed, Anwar P. P.
Mohd Azraai, Mohd Razman
Musa, Rabiu Muazu
author_facet Noor Aishah, Kamarudin
Mohamad Razali, Abdullah
Eswaramoorthi, Vijayamurugan
Ahmad Bisyri Husin Musawi, Maliki
Aina Munirah, Ab Rasid
Abdul Majeed, Anwar P. P.
Mohd Azraai, Mohd Razman
Musa, Rabiu Muazu
author_sort Noor Aishah, Kamarudin
title A cluster analysis of identifying team and individual sports athlete based on anthropometric, health and skill related components
title_short A cluster analysis of identifying team and individual sports athlete based on anthropometric, health and skill related components
title_full A cluster analysis of identifying team and individual sports athlete based on anthropometric, health and skill related components
title_fullStr A cluster analysis of identifying team and individual sports athlete based on anthropometric, health and skill related components
title_full_unstemmed A cluster analysis of identifying team and individual sports athlete based on anthropometric, health and skill related components
title_sort cluster analysis of identifying team and individual sports athlete based on anthropometric, health and skill related components
publisher Springer Science and Business Media Deutschland GmbH
publishDate 2022
url http://umpir.ump.edu.my/id/eprint/39461/1/A%20Cluster%20Analysis%20of%20Identifying%20Team%20and%20Individual%20Sports%20Athlete%20Based.pdf
http://umpir.ump.edu.my/id/eprint/39461/2/A%20cluster%20analysis%20of%20identifying%20team%20and%20individual%20sports%20athlete%20based%20on%20anthropometric%2C%20health%20and%20skill%20related%20components_ABS.pdf
http://umpir.ump.edu.my/id/eprint/39461/
https://doi.org/10.1007/978-981-19-2095-0_48
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score 13.235362