Litcius/Paper detail

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

Jordan L. Fox, Robert Stanton, Cody J. O’Grady, Masaru Teramoto, Charli Sargent, Aaron T. Scanlan

2021Biology of Sport30 citationsDOIOpen Access PDF

Abstract

) low-intensity, medium-intensity, high-intensity, and total Inertial Movement Analysis (IMA) events (accelerations, decelerations, changes-of-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.

Topics & Concepts

WorkloadBasketballRating of perceived exertionStatisticHeart rateExercise intensityPerceived exertionStatisticsSimulationPsychologyMedicinePhysical therapyComputer scienceMathematicsInternal medicineGeographyBlood pressureArchaeologyOperating systemSports Performance and TrainingSport Psychology and PerformanceSports injuries and prevention