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...
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Format: | Article |
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Frontiers Media S.A.
2023-04-01
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Series: | Frontiers in Sports and Active Living |
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Online Access: | https://www.frontiersin.org/articles/10.3389/fspor.2023.1108965/full |
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author | Randy Towner Abigail Larson Yong Gao Lynda B. Ransdell |
author_facet | Randy Towner Abigail Larson Yong Gao Lynda B. Ransdell |
author_sort | Randy Towner |
collection | DOAJ |
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. |
first_indexed | 2024-04-09T18:34:01Z |
format | Article |
id | doaj.art-4de75e4f1afa4a21bf3de59d925d10aa |
institution | Directory Open Access Journal |
issn | 2624-9367 |
language | English |
last_indexed | 2024-04-09T18:34:01Z |
publishDate | 2023-04-01 |
publisher | Frontiers Media S.A. |
record_format | Article |
series | Frontiers in Sports and Active Living |
spelling | doaj.art-4de75e4f1afa4a21bf3de59d925d10aa2023-04-11T13:31:37ZengFrontiers Media S.A.Frontiers in Sports and Active Living2624-93672023-04-01510.3389/fspor.2023.11089651108965Longitudinal monitoring of workloads in women's division I (DI) collegiate basketball across four training periodsRandy Towner0Abigail Larson1Yong Gao2Lynda B. Ransdell3Women’s Basketball Program, University of Utah, Salt Lake City, UT, United StatesDepartment of Kinesiology and Outdoor Recreation, Southern Utah University, Cedar City, UT, United StatesDepartment of Kinesiology, Boise State University, Boise, ID, United StatesDepartment of Kinesiology, Boise State University, Boise, ID, United StatesWomen'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.https://www.frontiersin.org/articles/10.3389/fspor.2023.1108965/fullcatapultsport technologyfemale athleteovertrainingperiodizationsport performance |
spellingShingle | Randy Towner Abigail Larson Yong Gao Lynda B. Ransdell Longitudinal monitoring of workloads in women's division I (DI) collegiate basketball across four training periods Frontiers in Sports and Active Living catapult sport technology female athlete overtraining periodization sport performance |
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 | catapult sport technology female athlete overtraining periodization sport performance |
url | https://www.frontiersin.org/articles/10.3389/fspor.2023.1108965/full |
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