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Assessment of Countermovement Jump: What Should We Report?
The purpose of the present study was (i) to explore the reliability of the most commonly used countermovement jump (CMJ) metrics, and (ii) to reduce a large pool of metrics with acceptable levels of reliability via principal component analysis to the significant factors capable of providing distinct...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9865236/ https://www.ncbi.nlm.nih.gov/pubmed/36676138 http://dx.doi.org/10.3390/life13010190 |
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author | Anicic, Zdravko Janicijevic, Danica Knezevic, Olivera M. Garcia-Ramos, Amador Petrovic, Milos R. Cabarkapa, Dimitrije Mirkov, Dragan M. |
author_facet | Anicic, Zdravko Janicijevic, Danica Knezevic, Olivera M. Garcia-Ramos, Amador Petrovic, Milos R. Cabarkapa, Dimitrije Mirkov, Dragan M. |
author_sort | Anicic, Zdravko |
collection | PubMed |
description | The purpose of the present study was (i) to explore the reliability of the most commonly used countermovement jump (CMJ) metrics, and (ii) to reduce a large pool of metrics with acceptable levels of reliability via principal component analysis to the significant factors capable of providing distinctive aspects of CMJ performance. Seventy-nine physically active participants (thirty-seven females and forty-two males) performed three maximal CMJs while standing on a force platform. Each participant visited the laboratory on two occasions, separated by 24–48 h. The most reliable variables were performance variables (CV = 4.2–11.1%), followed by kinetic variables (CV = 1.6–93.4%), and finally kinematic variables (CV = 1.9–37.4%). From the 45 CMJ computed metrics, only 24 demonstrated acceptable levels of reliability (CV ≤ 10%). These variables were included in the principal component analysis and loaded a total of four factors, explaining 91% of the CMJ variance: performance component (variables responsible for overall jump performance), eccentric component (variables related to the breaking phase), concentric component (variables related to the upward phase), and jump strategy component (variables influencing the jumping style). Overall, the findings revealed important implications for sports scientists and practitioners regarding the CMJ-derived metrics that should be considered to gain a comprehensive insight into the biomechanical parameters related to CMJ performance. |
format | Online Article Text |
id | pubmed-9865236 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-98652362023-01-22 Assessment of Countermovement Jump: What Should We Report? Anicic, Zdravko Janicijevic, Danica Knezevic, Olivera M. Garcia-Ramos, Amador Petrovic, Milos R. Cabarkapa, Dimitrije Mirkov, Dragan M. Life (Basel) Article The purpose of the present study was (i) to explore the reliability of the most commonly used countermovement jump (CMJ) metrics, and (ii) to reduce a large pool of metrics with acceptable levels of reliability via principal component analysis to the significant factors capable of providing distinctive aspects of CMJ performance. Seventy-nine physically active participants (thirty-seven females and forty-two males) performed three maximal CMJs while standing on a force platform. Each participant visited the laboratory on two occasions, separated by 24–48 h. The most reliable variables were performance variables (CV = 4.2–11.1%), followed by kinetic variables (CV = 1.6–93.4%), and finally kinematic variables (CV = 1.9–37.4%). From the 45 CMJ computed metrics, only 24 demonstrated acceptable levels of reliability (CV ≤ 10%). These variables were included in the principal component analysis and loaded a total of four factors, explaining 91% of the CMJ variance: performance component (variables responsible for overall jump performance), eccentric component (variables related to the breaking phase), concentric component (variables related to the upward phase), and jump strategy component (variables influencing the jumping style). Overall, the findings revealed important implications for sports scientists and practitioners regarding the CMJ-derived metrics that should be considered to gain a comprehensive insight into the biomechanical parameters related to CMJ performance. MDPI 2023-01-09 /pmc/articles/PMC9865236/ /pubmed/36676138 http://dx.doi.org/10.3390/life13010190 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Anicic, Zdravko Janicijevic, Danica Knezevic, Olivera M. Garcia-Ramos, Amador Petrovic, Milos R. Cabarkapa, Dimitrije Mirkov, Dragan M. Assessment of Countermovement Jump: What Should We Report? |
title | Assessment of Countermovement Jump: What Should We Report? |
title_full | Assessment of Countermovement Jump: What Should We Report? |
title_fullStr | Assessment of Countermovement Jump: What Should We Report? |
title_full_unstemmed | Assessment of Countermovement Jump: What Should We Report? |
title_short | Assessment of Countermovement Jump: What Should We Report? |
title_sort | assessment of countermovement jump: what should we report? |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9865236/ https://www.ncbi.nlm.nih.gov/pubmed/36676138 http://dx.doi.org/10.3390/life13010190 |
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