Int J Sports Med
DOI: 10.1055/a-2726-5070
Training & Testing

A New Approach to Assess Canoe Performance through Functional Electromechanical Dynamometry

Authors

  • Tania Álvarez-Yates

    1   Laboratory of Sports Performance, Physical Condition and Wellness, Faculty of Education and Sport Sciences, University of Vigo, Pontevedra, Spain
  • Alba Cuba-Dorado

    1   Laboratory of Sports Performance, Physical Condition and Wellness, Faculty of Education and Sport Sciences, University of Vigo, Pontevedra, Spain
  • Virginia Serrano-Gómez

    1   Laboratory of Sports Performance, Physical Condition and Wellness, Faculty of Education and Sport Sciences, University of Vigo, Pontevedra, Spain
  • Helena Vila-Suárez

    1   Laboratory of Sports Performance, Physical Condition and Wellness, Faculty of Education and Sport Sciences, University of Vigo, Pontevedra, Spain
  • Fàbio Yuzo Nakamura

    2   Research Centre in Sports Sciences, Health Sciences and Human Development (CIDESD), Universidade da Maia, Maia, Portugal (Ringgold ID: RIN112130)
  • Oscar García-García

    1   Laboratory of Sports Performance, Physical Condition and Wellness, Faculty of Education and Sport Sciences, University of Vigo, Pontevedra, Spain

Abstract

The aim of this study was to evaluate the predictive capacity of functional electromechanical dynamometry for sprint canoe performance. Twenty-one world-class sprint canoeists underwent two functional electromechanical dynamometry assessments (isometric and incremental load) in the sprint canoe-specific kneeling position. Race performance was assessed via official C1 500-m race times. Significant negative correlations were observed between 500-m race times and both the mean force (r=–0.72; p=0.001) and the peak force (r=–0.71; p=0.001) measured through the isometric dynamometric test. In the incremental test, a strong negative correlation was found between the race time and the number of strokes (Nreps; r=–0.85; p=0.001), as well as the absolute peak force (r=–0.80; p=0.001). These relationships remained significant when force values were adjusted for body mass. The strongest predictive model (R2 a=0.73) included the number of strokes from the incremental load test (C1 500-m race time=170.30–3.29 Nreps). These findings support the use of functional electromechanical dynamometry as a valid and sport-specific tool for assessing neuromuscular performance in elite sprint canoeists.



Publication History

Received: 07 August 2024

Accepted after revision: 17 October 2025

Accepted Manuscript online:
20 October 2025

Article published online:
19 November 2025

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