Assessing the External Load Associated With High-Intensity Activities Recorded During Official Basketball Games
Load monitoring in basketball is fundamental to develop training programs, maximizing performance while reducing injury risk. However, information regarding the load associated with specific activity patterns during competition is limited. This study aimed at assessing the external load associated w...
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doaj-1f1fa33e69ae4f879f752ce5aefd1ad42021-04-13T06:11:58ZengFrontiers Media S.A.Frontiers in Psychology1664-10782021-04-011210.3389/fpsyg.2021.668194668194Assessing the External Load Associated With High-Intensity Activities Recorded During Official Basketball GamesMarco Pernigoni0Marco Pernigoni1Davide Ferioli2Ramūnas Butautas3Antonio La Torre4Antonio La Torre5Daniele Conte6Department of Biomedical Sciences for Health, University of Milan, Milan, ItalyDepartment of Coaching Science, Lithuanian Sports University, Kaunas, LithuaniaCS Pallacanestro Trapani SSDARL, Trapani, ItalyDepartment of Coaching Science, Lithuanian Sports University, Kaunas, LithuaniaDepartment of Biomedical Sciences for Health, University of Milan, Milan, ItalyIRCCS Istituto Ortopedico Galeazzi, Milan, ItalyInstitute of Sport Science and Innovations, Lithuanian Sports University, Kaunas, LithuaniaLoad monitoring in basketball is fundamental to develop training programs, maximizing performance while reducing injury risk. However, information regarding the load associated with specific activity patterns during competition is limited. This study aimed at assessing the external load associated with high-intensity activities recorded during official basketball games, with respect to different (1) activity patterns, (2) playing positions, and (3) activities performed with or without ball. Eleven male basketball players (six backcourt, five frontcourt, age: 20.5 ± 1.1 years, stature: 191.5 ± 8.7 cm, body mass: 86.5 ± 11.3 kg; experience: 8.5 ± 2.4 years) competing in the Lithuanian third division were recruited for this study. Three in-season games were assessed via time-motion analysis and microsensors. Specifically, the high-intensity activities including sprints, high-intensity specific movements (HSM) and jumps were identified and subsequently the external load [PlayerLoad™ (PL) and PlayerLoad™/min (PL/min)] of each activity was determined. Linear mixed models were used to examine differences in PL, PL/min and mean duration between activity pattern, playing positions and activities performed with or without ball. Results revealed PL was lower in jumps compared to sprints [p < 0.001, effect size (ES) = 0.68] and HSMs (p < 0.001, ES = 0.58), while PL/min was greater in sprints compared to jumps (p = 0.023, ES = 0.22). Jumps displayed shorter duration compared to sprints (p < 0.001, ES = 1.10) and HSMs (p < 0.001, ES = 0.81), with HSMs lasting longer than sprints (p = 0.002, ES = 0.17). Jumps duration was longer in backcourt than frontcourt players (p < 0.001, ES = 0.33). When considering activity patterns combined, PL (p < 0.001, ES = 0.28) and duration (p < 0.001, ES = 0.43) were greater without ball. Regarding HSMs, PL/min was higher with ball (p = 0.036, ES = 0.14), while duration was longer without ball (p < 0.001, ES = 0.34). The current findings suggest that external load differences in high-intensity activities exist among activity patterns and between activities performed with and without ball, while no differences were found between playing positions. Practitioners should consider these differences when designing training sessions.https://www.frontiersin.org/articles/10.3389/fpsyg.2021.668194/fulltime-motion analysisphysical demandsPlayerLoadinertial measurement unitsaccelerometersmicrosensors |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Marco Pernigoni Marco Pernigoni Davide Ferioli Ramūnas Butautas Antonio La Torre Antonio La Torre Daniele Conte |
spellingShingle |
Marco Pernigoni Marco Pernigoni Davide Ferioli Ramūnas Butautas Antonio La Torre Antonio La Torre Daniele Conte Assessing the External Load Associated With High-Intensity Activities Recorded During Official Basketball Games Frontiers in Psychology time-motion analysis physical demands PlayerLoad inertial measurement units accelerometers microsensors |
author_facet |
Marco Pernigoni Marco Pernigoni Davide Ferioli Ramūnas Butautas Antonio La Torre Antonio La Torre Daniele Conte |
author_sort |
Marco Pernigoni |
title |
Assessing the External Load Associated With High-Intensity Activities Recorded During Official Basketball Games |
title_short |
Assessing the External Load Associated With High-Intensity Activities Recorded During Official Basketball Games |
title_full |
Assessing the External Load Associated With High-Intensity Activities Recorded During Official Basketball Games |
title_fullStr |
Assessing the External Load Associated With High-Intensity Activities Recorded During Official Basketball Games |
title_full_unstemmed |
Assessing the External Load Associated With High-Intensity Activities Recorded During Official Basketball Games |
title_sort |
assessing the external load associated with high-intensity activities recorded during official basketball games |
publisher |
Frontiers Media S.A. |
series |
Frontiers in Psychology |
issn |
1664-1078 |
publishDate |
2021-04-01 |
description |
Load monitoring in basketball is fundamental to develop training programs, maximizing performance while reducing injury risk. However, information regarding the load associated with specific activity patterns during competition is limited. This study aimed at assessing the external load associated with high-intensity activities recorded during official basketball games, with respect to different (1) activity patterns, (2) playing positions, and (3) activities performed with or without ball. Eleven male basketball players (six backcourt, five frontcourt, age: 20.5 ± 1.1 years, stature: 191.5 ± 8.7 cm, body mass: 86.5 ± 11.3 kg; experience: 8.5 ± 2.4 years) competing in the Lithuanian third division were recruited for this study. Three in-season games were assessed via time-motion analysis and microsensors. Specifically, the high-intensity activities including sprints, high-intensity specific movements (HSM) and jumps were identified and subsequently the external load [PlayerLoad™ (PL) and PlayerLoad™/min (PL/min)] of each activity was determined. Linear mixed models were used to examine differences in PL, PL/min and mean duration between activity pattern, playing positions and activities performed with or without ball. Results revealed PL was lower in jumps compared to sprints [p < 0.001, effect size (ES) = 0.68] and HSMs (p < 0.001, ES = 0.58), while PL/min was greater in sprints compared to jumps (p = 0.023, ES = 0.22). Jumps displayed shorter duration compared to sprints (p < 0.001, ES = 1.10) and HSMs (p < 0.001, ES = 0.81), with HSMs lasting longer than sprints (p = 0.002, ES = 0.17). Jumps duration was longer in backcourt than frontcourt players (p < 0.001, ES = 0.33). When considering activity patterns combined, PL (p < 0.001, ES = 0.28) and duration (p < 0.001, ES = 0.43) were greater without ball. Regarding HSMs, PL/min was higher with ball (p = 0.036, ES = 0.14), while duration was longer without ball (p < 0.001, ES = 0.34). The current findings suggest that external load differences in high-intensity activities exist among activity patterns and between activities performed with and without ball, while no differences were found between playing positions. Practitioners should consider these differences when designing training sessions. |
topic |
time-motion analysis physical demands PlayerLoad inertial measurement units accelerometers microsensors |
url |
https://www.frontiersin.org/articles/10.3389/fpsyg.2021.668194/full |
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