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Longitudinal monitoring of workloads in women's division I (DI) collegiate basketball across four training periods
Women's collegiate basketball is a fast-growing, dynamic sport that spans 8 or more months, with athletes competing in 30 + games in a season. The aim of this study was to quantify and profile the external load of practices and games during a Power-5 DI Women's Collegiate Basketball season...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10127672/ https://www.ncbi.nlm.nih.gov/pubmed/37113986 http://dx.doi.org/10.3389/fspor.2023.1108965 |
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author | Towner, Randy Larson, Abigail Gao, Yong Ransdell, Lynda B. |
author_facet | Towner, Randy Larson, Abigail Gao, Yong Ransdell, Lynda B. |
author_sort | Towner, Randy |
collection | PubMed |
description | Women's collegiate basketball is a fast-growing, dynamic sport that spans 8 or more months, with athletes competing in 30 + games in a season. The aim of this study was to quantify and profile the external load of practices and games during a Power-5 DI Women's Collegiate Basketball season. Specifically, Average PlayerLoad (PL), PlayerLoad per minute (PL*min(−1)), High Inertial Movement Analysis (High-IMA), and Jumps were quantified using Catapult Openfield software during four distinct training periods of the year: 8-hour preseason, 20-hour preseason, non-conference, and conference game play. Weekly variations and acute to chronic workload ratios (ACWR) were also examined. Eleven subjects participated in daily external load monitoring during practice and games via Catapult's ClearSky T6 inertial measurement units (IMU). Averages, standard deviations, and confidence intervals were calculated for training period comparisons, and Cohen's d was calculated as a measure of effect size. Findings include normative values to provide context for the demands experienced across an entire season. PL was significantly higher during non-conference play than during any of the other three training periods (p < 0.05). Descriptive data enumerate percent change and ACRW variations throughout the season. These data can be used to describe the physical demands across a season and provide physical profile guidelines for coaches. |
format | Online Article Text |
id | pubmed-10127672 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-101276722023-04-26 Longitudinal monitoring of workloads in women's division I (DI) collegiate basketball across four training periods Towner, Randy Larson, Abigail Gao, Yong Ransdell, Lynda B. Front Sports Act Living Sports and Active Living Women's collegiate basketball is a fast-growing, dynamic sport that spans 8 or more months, with athletes competing in 30 + games in a season. The aim of this study was to quantify and profile the external load of practices and games during a Power-5 DI Women's Collegiate Basketball season. Specifically, Average PlayerLoad (PL), PlayerLoad per minute (PL*min(−1)), High Inertial Movement Analysis (High-IMA), and Jumps were quantified using Catapult Openfield software during four distinct training periods of the year: 8-hour preseason, 20-hour preseason, non-conference, and conference game play. Weekly variations and acute to chronic workload ratios (ACWR) were also examined. Eleven subjects participated in daily external load monitoring during practice and games via Catapult's ClearSky T6 inertial measurement units (IMU). Averages, standard deviations, and confidence intervals were calculated for training period comparisons, and Cohen's d was calculated as a measure of effect size. Findings include normative values to provide context for the demands experienced across an entire season. PL was significantly higher during non-conference play than during any of the other three training periods (p < 0.05). Descriptive data enumerate percent change and ACRW variations throughout the season. These data can be used to describe the physical demands across a season and provide physical profile guidelines for coaches. Frontiers Media S.A. 2023-04-11 /pmc/articles/PMC10127672/ /pubmed/37113986 http://dx.doi.org/10.3389/fspor.2023.1108965 Text en © 2023 Towner, Larson, Gao and Ransdell. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY) (https://creativecommons.org/licenses/by/4.0/) . The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Sports and Active Living Towner, Randy Larson, Abigail Gao, Yong Ransdell, Lynda B. Longitudinal monitoring of workloads in women's division I (DI) collegiate basketball across four training periods |
title | Longitudinal monitoring of workloads in women's division I (DI) collegiate basketball across four training periods |
title_full | Longitudinal monitoring of workloads in women's division I (DI) collegiate basketball across four training periods |
title_fullStr | Longitudinal monitoring of workloads in women's division I (DI) collegiate basketball across four training periods |
title_full_unstemmed | Longitudinal monitoring of workloads in women's division I (DI) collegiate basketball across four training periods |
title_short | Longitudinal monitoring of workloads in women's division I (DI) collegiate basketball across four training periods |
title_sort | longitudinal monitoring of workloads in women's division i (di) collegiate basketball across four training periods |
topic | Sports and Active Living |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10127672/ https://www.ncbi.nlm.nih.gov/pubmed/37113986 http://dx.doi.org/10.3389/fspor.2023.1108965 |
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