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Assessing the Relationship and Convergent Validity of Player Load and Dynamic Stress Load in Basketball: A
Franc García1,2, Jordi Vicens-Bordas3, Laura Dawson4,5
1National Institute of Physical Education of Catalonia (INEFC), University of Barcelona (UB), Barcelona Sport Sciences Research Group, Barcelona, Spain.
Player Load and dynamic stress load (DSL) are related but not interchangeable in basketball. Player Load strongly correlates with total distance, while DSL shows moderate correlations with various external load metrics.
Area of Science:
- Sports Science
- Biomechanics
- Basketball Performance Analysis
Background:
- Understanding external load is crucial for optimizing training and preventing injuries in basketball.
- Player Load and dynamic stress load (DSL) are common metrics used to quantify physical demands.
Purpose of the Study:
- To assess the relationship between Player Load and DSL in adolescent basketball players.
- To evaluate the convergent validity of Player Load and DSL with other external load parameters.
- To develop regression models explaining the importance of external load metrics.
Main Methods:
- Thirteen male basketball players (<18 years) were monitored using a local positioning system with inertial microsensors.
- Accelerometer-derived metrics including Player Load and DSL were analyzed during the 2023-24 season.
Main Results:
- Player Load and DSL exhibited a very large correlation (rm_corr = .781).
- Player Load showed almost perfect correlation with total distance (.967) and large correlations with high-speed running and acceleration/deceleration distances.
- Dynamic stress load (DSL) demonstrated large correlations with total distance and high-speed running, but moderate correlations with acceleration/deceleration distances.
Conclusions:
- Player Load and DSL are correlated but not interchangeable for quantifying external load in basketball.
- Player Load is a robust indicator, strongly correlating with total distance and step count.
- DSL shows moderate correlations with various metrics, indicating it captures different aspects of physical demand.
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