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External workload can be anticipated during 5 vs. 5 games-based drills in basketball players: An exploratory study

journal contribution
posted on 01.06.2020, 00:00 by CJ O’Grady, Vincent DalboVincent Dalbo, M Teramoto, Jordan FoxJordan Fox, Aaron ScanlanAaron Scanlan
© 2020 by the authors. Licensee MDPI, Basel, Switzerland. This study determined whether external workload could be anticipated during 5 vs. 5 games-based drills in basketball. Thirteen semi-professional, male basketball players were monitored during 5 vs. 5 training drills across the season. External workload was determined using PlayerLoad™ (AU·min−1). The reference workload for each drill was calculated across all sessions, using bootstrapping. The bootstrap mean workload and 95% confidence intervals (CI) were then calculated for session 1, sessions 1–2, and continued for remaining sessions (1–3, 1–4, etc.), and were compared with those of the reference workload. The minimum sessions to anticipate workload for each drill was identified when the first normative value fell within ±5% or ±10% of the reference workload 95% CI. The minimum sessions were then tested to determine the accuracy to which workload could be anticipated. Three to four sessions were needed to anticipate workload within ±5%, while 2–3 sessions were needed to anticipate workload within ±10%. External workload was anticipated in 0–55% of future sessions using an error range of ±5%, and in 58–89% of sessions using an error range of ±10%. External workload during 5 vs. 5 games-based drills can be anticipated in most sessions using normative values established during a short-term monitoring period with an error range of ±10%.

History

Volume

17

Issue

6

Start Page

1

End Page

11

Number of Pages

11

eISSN

1660-4601

ISSN

1661-7827

Publisher

MDPI AG

Additional Rights

CC BY 4.0

Peer Reviewed

Yes

Open Access

Yes

Acceptance Date

20/03/2020

External Author Affiliations

University of Utah

Era Eligible

Yes

Journal

International Journal of Environmental Research and Public Health

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