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Training mode's influences on the relationships between training-load models during basketball conditioning
Aaron T Scanlan1, Neal Wen, Patrick S Tucker
1School of Medical and Applied Sciences, Central Queensland University, Rockhampton, Australia.
International Journal of Sports Physiology and Performance
|January 18, 2014
Summary
The session rating of perceived exertion (sRPE) model effectively captures basketball training load across various modes. Heart-rate-based models like training impulse (TRIMP) and summated heart-rate zones (SHRZ) were less sensitive to changes, especially in specific conditioning drills.
Area of Science:
- Sports Science
- Exercise Physiology
- Basketball Training
Background:
- Accurate monitoring of training load is crucial for optimizing athlete performance and preventing overtraining.
- Perceptual and physiological measures offer different insights into training stress.
- Various training modes in basketball present unique challenges for load quantification.
Purpose of the Study:
- To compare perceptual (session rating of perceived exertion - sRPE) and physiological (heart-rate based training impulse - TRIMP, and summated heart-rate zones - SHRZ) training-load responses in basketball.
- To evaluate the relationship between sRPE and HR-based models across different training modalities.
- To assess the sensitivity of these models in detecting periodized training load changes.
Main Methods:
- Eight semiprofessional male basketball players were monitored over a 10-week preparatory phase.
- Session ratings of perceived exertion (sRPE) and heart-rate (HR) were recorded during base, specific, and tactical/game-play training.
- Pearson correlations and one-way ANOVAs were used to analyze the relationships and differences between sRPE, TRIMP, and SHRZ models.
Main Results:
- Stronger correlations between sRPE and HR-based models were observed during base and tactical/game-play conditioning compared to specific conditioning.
- The sRPE model indicated significantly larger increases in training load across training modes than TRIMP and SHRZ.
- HR-based models showed weaker relationships and less sensitivity in detecting load changes during specific, court-based drills.
Conclusions:
- While all models showed significant correlations, the sRPE model demonstrated greater sensitivity to periodized training load increases in basketball.
- Heart-rate-based models (TRIMP, SHRZ) were less effective in capturing load during intermittent, multidirectional basketball drills.
- The sRPE model is recommended for its practical utility and sensitivity across diverse basketball training contexts.
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