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DOSE RESPONSE RELATIONSHIP FOR EXTERNAL WORKLOAD AND NEUROMUSCULAR PERFORMANCE OVER A FEMALE COLLEGIATE BASKETBALL SEASON

Abstract

Nicolas M. Philipp1, Dimitrije Cabarkapa1, Stryder M. Blackburn1, & Andrew C. Fry1

1University of Kansas, Lawrence, Kansas

PURPOSE: The aim of this study was to investigate the relationship between external workload exposure, and changes in countermovement jump (CMJ) force-time characteristics over the course of a basketball season, in a sample of NCAA Division I female basketball players. METHODS: Data for 12 players was retrospectively analyzed, with external workload being quantified by means of an exponentially weighted, acute and chronic workload, as well as an acute:chronic workload ratio (ACWR) derived from an IMU-based system worn by athletes for all practices and games during the regular season. CMJs were performed on a total of 26 test days. To statistically analyze these relationships, and to account for multiple observations of the same athletes in a data set, linear mixed effect models with athlete identity (ID) intercept as the random effect were utilized. RESULTS: Study findings suggested that associations between external workload exposure and respective force-time metrics after controlling for the random effect of athlete ID were dependent on the specific metric, or metric sub-group used, as well as the type of workload exposure (e.g., acute vs. chronic). Force-time metrics from the braking phase such as average braking force (estimate = -71.7, t = -2.37, p = 0.018) or braking rate of force development (estimate = -1.02, t = -2.43, p = 0.016) seemed to be particularly associated with higher degrees of acute workload exposure, while strategy-based metrics such as countermovement depth showed significant associations with chronic workload exposure (estimate = 0.004, t = 2.36, p = 0.019). Further, model results suggested the importance of analyzing neuromuscular responses to workload on an individual basis, rather than across an entire team. CONCLUSION: Our findings document that selected force-time metrics from the CMJ may be sensitive to changes in external workload exposure when accounting for the random effect of athlete ID in the data structure. Different types of workload exposure may differently impact certain components of the CMJ. Our data might help practitioners in their process related to selecting metrics in monitoring neuromuscular fatigue and readiness.

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