Pacey Performance Podcast cover image

Pacey Performance Podcast

Maximising the use of asymmetry data for profiling, rehab and fatigue monitoring with Chris Bishop

Aug 24, 2023
01:07:48
Snipd AI
Dr. Chris Bishop, Associate Professor at Middlesex University, discusses the intricacies of asymmetries in sports performance. He emphasizes the need for context-aware analysis and highlights the limitations of relying solely on asymmetry metrics. Chris explores correlations, challenges with force plates, and selecting meaningful metrics for fatigue monitoring and injury rehab.
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Podcast summary created with Snipd AI

Quick takeaways

  • Asymmetries as a metric to assess performance and injury risk have limitations due to the noisiness and variability of the data.
  • The counter movement jump test and asymmetry data can be used in different scenarios, including performance profiling, fatigue monitoring, and rehab protocols, but the selection of metrics should be purpose-driven and context-specific.

Deep dives

The challenges and limitations of using asymmetries as a metric

Asymmetries as a metric to assess performance and injury risk have limitations due to the noisiness and variability of the data. Single time point associative studies have shown mixed results, with some indicating larger asymmetries correlating with worse performance. Training interventions have shown minimal changes in asymmetries, and it remains unclear if reducing asymmetries leads to improved performance. The repeatability and threshold concepts of asymmetries are also questioned, as well as the value of using ratio metrics. The variability and multiple strategies in performing a counter movement jump further complicate the interpretation of asymmetry data.

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