Hayes & Quinn’s TRIMP Concurrent Validity for Cycling

Authors

  • Manuel Moya Ramon Sport Research Center. Universidad Miguel Hernández. Elche, Alicante, Spain.
  • Alejandro Javaloyes Torres Sport Research Center. Universidad Miguel Hernández. Elche, Alicante, Spain.
  • Jose Manuel Sarabia Sport Research Center. Universidad Miguel Hernández. Elche, Alicante, Spain.

DOI:

https://doi.org/10.28985/180130.jsc.04

Keywords:

cycling, training impulse, power output, training load, hear rate

Abstract

PURPOSE:Quantification models aim to accurately reflect the magnitude of the training stress imposed to the athlete, especially in sports with high training volumes, such as road cycling. The aim of this study was to explore the concurrent validity of a new whole-body bioenergetic TRIMP model (Hayes & Quinn, 2009) correlating the obtained training load scores in road cycling with other commonly used models (the Banister TRIMP, the sRPE model and Training Stress Score (TSS)). METHOD:After three weeks of familiarization with procedures and the performed test to determine VO2max, critical power (Pcrit), anaerobic work capacity (AWC) and Maximal Power Output (Pmax), 12 well-trained road cyclists performed 8 weeks of individual training to record their individual training data (duration, heart rate, power output and rate of perceived effort (RPE)). Different Pearson’s correlation was performed to assess the relationship between models and the changes in fitness. RESULTS: A very large correlation was found between Hayes & Quinn’s TRIMP and RPE session (r = 0.90; p < 0.001) and TSS (r = 0.88; p < 0.01) and a moderate correlation was found with Banister’s TRIMP (r = 0.64; p < 0.05). No significant correlation was found between changes in fitness and Hayes & Quinn’s TRIMP. CONCLUSION:According to these findings, Hayes & Quinn´s TRIMPis a promising mathematical model based on an individual´s bioenergetic profile that could be used to quantify training load in road cycling. This research increases our knowledge about training load models that use power output to measure intensity.

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Published

2018-06-30

How to Cite

Moya Ramon, M., Javaloyes Torres, A., & Sarabia, J. M. (2018). Hayes & Quinn’s TRIMP Concurrent Validity for Cycling. Journal of Science and Cycling, 7(1), 17-23. https://doi.org/10.28985/180130.jsc.04

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Section

Original articles