Cargando…
Evaluation of Athlete Monitoring Tools across 10 Weeks of Elite Youth Basketball Training: An Explorative Study
The growth of sport science technology is enabling more sporting teams to implement athlete monitoring practices related to performance testing and load monitoring. Despite the increased emphasis on youth athlete development, the lack of longitudinal athlete monitoring literature in youth athletes i...
Autores principales: | , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9967008/ https://www.ncbi.nlm.nih.gov/pubmed/36828311 http://dx.doi.org/10.3390/sports11020026 |
_version_ | 1784897158273564672 |
---|---|
author | Palmer, Branson L. van der Ploeg, Grant E. Bourdon, Pitre C. Butler, Scott R. Crowther, Robert G. |
author_facet | Palmer, Branson L. van der Ploeg, Grant E. Bourdon, Pitre C. Butler, Scott R. Crowther, Robert G. |
author_sort | Palmer, Branson L. |
collection | PubMed |
description | The growth of sport science technology is enabling more sporting teams to implement athlete monitoring practices related to performance testing and load monitoring. Despite the increased emphasis on youth athlete development, the lack of longitudinal athlete monitoring literature in youth athletes is concerning, especially for indoor sports such as basketball. The aim of this study was to evaluate the effectiveness of six different athlete monitoring methods over 10 weeks of youth basketball training. Fourteen state-level youth basketball players (5 males and 9 females; 15.1 ± 1.0 years) completed this study during their pre-competition phase prior to their national basketball tournament. Daily wellness and activity surveys were completed using the OwnUrGoal mobile application, along with heart rate (HR) and inertial measurement unit (IMU) recordings at each state training session, and weekly performance testing (3x countermovement jumps [CMJs], and 3x isometric mid-thigh pulls [IMTPs]). All of the athlete monitoring methods demonstrated the coaching staff’s training intent to maintain performance and avoid spikes in workload. Monitoring IMU data combined with PlayerLoad™ data analysis demonstrated more effectiveness for monitoring accumulated load (AL) compared to HR analysis. All six methods of athlete monitoring detected similar trends for all sessions despite small-trivial correlations between each method (Pearson’s correlation: −0.24 < r < 0.28). The use of subjective monitoring questionnaire applications, such as OwnUrGoal, is recommended for youth sporting clubs, given its practicability and low-cost. Regular athlete education from coaches and support staff regarding the use of these questionnaires is required to gain the best data. |
format | Online Article Text |
id | pubmed-9967008 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-99670082023-02-26 Evaluation of Athlete Monitoring Tools across 10 Weeks of Elite Youth Basketball Training: An Explorative Study Palmer, Branson L. van der Ploeg, Grant E. Bourdon, Pitre C. Butler, Scott R. Crowther, Robert G. Sports (Basel) Article The growth of sport science technology is enabling more sporting teams to implement athlete monitoring practices related to performance testing and load monitoring. Despite the increased emphasis on youth athlete development, the lack of longitudinal athlete monitoring literature in youth athletes is concerning, especially for indoor sports such as basketball. The aim of this study was to evaluate the effectiveness of six different athlete monitoring methods over 10 weeks of youth basketball training. Fourteen state-level youth basketball players (5 males and 9 females; 15.1 ± 1.0 years) completed this study during their pre-competition phase prior to their national basketball tournament. Daily wellness and activity surveys were completed using the OwnUrGoal mobile application, along with heart rate (HR) and inertial measurement unit (IMU) recordings at each state training session, and weekly performance testing (3x countermovement jumps [CMJs], and 3x isometric mid-thigh pulls [IMTPs]). All of the athlete monitoring methods demonstrated the coaching staff’s training intent to maintain performance and avoid spikes in workload. Monitoring IMU data combined with PlayerLoad™ data analysis demonstrated more effectiveness for monitoring accumulated load (AL) compared to HR analysis. All six methods of athlete monitoring detected similar trends for all sessions despite small-trivial correlations between each method (Pearson’s correlation: −0.24 < r < 0.28). The use of subjective monitoring questionnaire applications, such as OwnUrGoal, is recommended for youth sporting clubs, given its practicability and low-cost. Regular athlete education from coaches and support staff regarding the use of these questionnaires is required to gain the best data. MDPI 2023-01-25 /pmc/articles/PMC9967008/ /pubmed/36828311 http://dx.doi.org/10.3390/sports11020026 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 Palmer, Branson L. van der Ploeg, Grant E. Bourdon, Pitre C. Butler, Scott R. Crowther, Robert G. Evaluation of Athlete Monitoring Tools across 10 Weeks of Elite Youth Basketball Training: An Explorative Study |
title | Evaluation of Athlete Monitoring Tools across 10 Weeks of Elite Youth Basketball Training: An Explorative Study |
title_full | Evaluation of Athlete Monitoring Tools across 10 Weeks of Elite Youth Basketball Training: An Explorative Study |
title_fullStr | Evaluation of Athlete Monitoring Tools across 10 Weeks of Elite Youth Basketball Training: An Explorative Study |
title_full_unstemmed | Evaluation of Athlete Monitoring Tools across 10 Weeks of Elite Youth Basketball Training: An Explorative Study |
title_short | Evaluation of Athlete Monitoring Tools across 10 Weeks of Elite Youth Basketball Training: An Explorative Study |
title_sort | evaluation of athlete monitoring tools across 10 weeks of elite youth basketball training: an explorative study |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9967008/ https://www.ncbi.nlm.nih.gov/pubmed/36828311 http://dx.doi.org/10.3390/sports11020026 |
work_keys_str_mv | AT palmerbransonl evaluationofathletemonitoringtoolsacross10weeksofeliteyouthbasketballtraininganexplorativestudy AT vanderploeggrante evaluationofathletemonitoringtoolsacross10weeksofeliteyouthbasketballtraininganexplorativestudy AT bourdonpitrec evaluationofathletemonitoringtoolsacross10weeksofeliteyouthbasketballtraininganexplorativestudy AT butlerscottr evaluationofathletemonitoringtoolsacross10weeksofeliteyouthbasketballtraininganexplorativestudy AT crowtherrobertg evaluationofathletemonitoringtoolsacross10weeksofeliteyouthbasketballtraininganexplorativestudy |