Longitudinal monitoring of workloads in women's division I (DI) collegiate basketball across four training periods
Bibliographic Data
| ID | 5285505 |
|---|---|
| Authors | Randy Towner (University of Utah), Abigail Larson (0000-0003-1996-2317, Southern Utah University), Yong Gao (0000-0003-0067-9626, Boise State University), Lynda B Ransdell (0000-0003-1162-7047, Boise State University, corresponding author) |
| Year | 2023 |
| Volume | 5 |
| Pages | 1108965-1108965 |
| Publication date | 2023-04-11 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Frontiers in Sports and Active Living (JOURNAL) |
| Journal identifiers | ISSN: 2624-9367 • E-ISSN: 2624-9367 |
| Publisher | Frontiers Media SA (PUBLISHER • CH) |
| DOI | 10.3389/fspor.2023.1108965 |
| PMID | 37113986 |
| OpenAlex | W4364381171 |
| Language | EN |
| Citations received | 1 |
| References cited | 37 |
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
Basketball · Division (mathematics · Geography · Meteorology · Training (meteorology · Mathematics · Psychology · Sports Dynamics and Biomechanics · Sports injuries and prevention · Sports Performance and Training
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| Unique citing works | 1 |
|---|---|
| Citations per year | 0,5 |
| Citation span | 2024 - 2024 (1) |
| Citation velocity | recent |
| Highly cited | No |
| Citation types | Neutral: 1 |