Are acute player workloads associated with in-game performance in basketball?

JL Fox, R Stanton, CJ O'Grady, M Teramoto… - Biology of …, 2022 - termedia.pl
Biology of Sport, 2022termedia.pl
To investigate associations between acute workload and in-game performance in
basketball. Eight semi-professional, male basketball players were monitored during all
training sessions (N= 28) and games (N= 18) across the season. External workload was
determined using absolute (arbitrary units [AU]) and relative (AU· min-1) PlayerLoadTM (PL),
and absolute (count) and relative (count· min-1) low-intensity, mediumintensity, high-
intensity, and total Inertial Movement Analysis (IMA) events (accelerations, decelerations …
Abstract
To investigate associations between acute workload and in-game performance in basketball. Eight semi-professional, male basketball players were monitored during all training sessions (N= 28) and games (N= 18) across the season. External workload was determined using absolute (arbitrary units [AU]) and relative (AU· min-1) PlayerLoadTM (PL), and absolute (count) and relative (count· min-1) low-intensity, mediumintensity, high-intensity, and total Inertial Movement Analysis (IMA) events (accelerations, decelerations, changesof-direction, and jumps). Internal workload was determined using absolute and relative Summated-Heart-Rate-Zones workload, session-rating of perceived exertion, rating of perceived exertion, and time (min) spent working> 90% of maximal heart rate. In-game performance was indicated by the player efficiency statistic. Repeated measures correlations were used to determine associations between acute workload variables (across the previous 7 days) and player efficiency. Relative PL (r= 0.13, small) and high-intensity IMA events (r= 0.13, small) possessed the strongest associations with player efficiency of the investigated workload variables (P> 0.05). All other associations were trivial in magnitude (P> 0.05). Given the trivial-small associations between all external and internal workload variables and player efficiency, basketball practitioners should not rely solely on monitoring acute workloads to determine performance potential in players.
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