Literature DB >> 34846331

The Application of Accelerometer-Derived Moving Averages to Quantify Peak Demands in Basketball: A Comparison of Sample Duration, Playing Role, and Session Type.

Jordan L Fox1,2, Daniele Conte3, Robert Stanton1,4, Blake McLean5,6, Aaron T Scanlan1,2.   

Abstract

ABSTRACT: Fox, JL, Conte, D, Stanton, R, McLean, B, and Scanlan, AT. The application of accelerometer-derived moving averages to quantify peak demands in basketball: A comparison of sample duration, playing role, and session type. J Strength Cond Res 35(12S): S58-S63, 2021-The purpose of this was to study compare peak external workload intensities in basketball using accelerometer-derived moving averages between different sample durations (0.5-5 minutes), session types (training vs. game-play), and playing roles (starting vs. bench players). Five starting and 3 bench players were monitored over a 15-week competitive season using accelerometers. For all training sessions and games, peak external workload intensities were determined using accelerometer-derived moving averages for PlayerLoad per minute (PL·min-1) across sample durations of 0.5, 1, 2, 3, 4, and 5 minutes. Linear mixed-models and effect sizes (ESs) were used to compare peak PL·min-1 between sample durations, session type, and playing role. Peak PL·min-1 was significantly different between all sample durations (p < 0.05; ES = 0.88-5.45), with higher intensities evident across shorter sample durations. In starting players, peak intensities were significantly higher during games compared with training for all sample durations (p < 0.05; ES = 0.69-0.93). Peak game intensities were higher in starting players using all sample durations (p > 0.05; ES = 0.69-1.43) compared with bench players. Shorter sample durations produced higher peak PL·min-1. Peak intensities were higher during games than training in starting players, indicating training may not adequately prepare players for the most demanding passages of game-play.
Copyright © 2020 National Strength and Conditioning Association.

Entities:  

Mesh:

Year:  2021        PMID: 34846331     DOI: 10.1519/JSC.0000000000003486

Source DB:  PubMed          Journal:  J Strength Cond Res        ISSN: 1064-8011            Impact factor:   3.775


  6 in total

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Authors:  Enrique Alonso Pérez-Chao; Miguel-Ángel Gómez; Pedro Lisboa; Juan Trapero; Sergio L Jiménez; Alberto Lorenzo
Journal:  Front Physiol       Date:  2022-04-12       Impact factor: 4.755

2.  Quantifying Training and Game Demands of a National Basketball Association Season.

Authors:  Jennifer L Russell; Blake D McLean; Sean Stolp; Donnie Strack; Aaron J Coutts
Journal:  Front Psychol       Date:  2021-12-21

3.  Influence of Strength Programs on the Injury Rate and Team Performance of a Professional Basketball Team: A Six-Season Follow-Up Study.

Authors:  Toni Caparrós; Javier Peña; Ernest Baiget; Xantal Borràs-Boix; Julio Calleja-Gonzalez; Gil Rodas
Journal:  Front Psychol       Date:  2022-02-01

4.  Comparison of the most demanding scenarios during different in-season training sessions and official matches in professional basketball players.

Authors:  Franc García; Xavi Schelling; Julen Castellano; Andrés Martín-García; Francesc Pla; Jairo Vázquez-Guerrero
Journal:  Biol Sport       Date:  2021-04-09       Impact factor: 2.806

5.  The Distribution of Match Physical Activities Relative to the Most Demanding Scenarios in Professional Basketball Players.

Authors:  Franc García; Daniel Fernández; Jordi Illa; Xavier Reche; Jairo Vázquez-Guerrero
Journal:  J Hum Kinet       Date:  2022-09-08       Impact factor: 2.923

6.  International matches elicit stable mechanical workload in high-level female ice hockey.

Authors:  Jérôme Perez; Franck Brocherie; Antoine Couturier; Gaël Guilhem
Journal:  Biol Sport       Date:  2021-10-25       Impact factor: 4.606

  6 in total

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