Monitoring physical performance and training load in young surf athletes

  1. Silva, Bruno
  2. GONÇALO CRUZ 2
  3. SÍLVIA ROCHA-RODRIGUES 1
  4. FILIPE MANUEL CLEMENTE 1
  1. 1 Instituto Politécnico de Viana do Castelo
    info

    Instituto Politécnico de Viana do Castelo

    Viana do Castelo, Portugal

    ROR https://ror.org/03w6kry90

  2. 2 Surfing Viana High Performance Center
Journal:
Journal of Human Sport and Exercise: JHSE

ISSN: 1988-5202

Year of publication: 2021

Volume: 16

Issue: 2

Pages: 261-272

Type: Article

DOI: 10.14198/JHSE.2021.162.03 DIALNET GOOGLE SCHOLAR lock_openRUA editor

More publications in: Journal of Human Sport and Exercise: JHSE

Abstract

We aimed to study physical performance and monitor training load (both internal and external) during 12 weeks (3 times per week) and analyse the hypothetical association between physical performance and training load of competitive junior surfers. Twelve competitive surfers voluntarily participated (aged 16.00±1.00y) and completed anthropometric and 8 physical performance tests including weight-bearing dorsiflexion test, functional movement screen, star excursion balance test, squat jump and countermovement jump, sprint & endurance paddling, and breath-hold capacity. Moreover, athletes were monitored by using a heart rate (HR) sensor and global position system (GPS) during each training session (n=36). For internal load (IL), HR, rating of perceived exertion RPE, duration*RPE were used as variables and for external load (EL), duration, total distance, average and maximum speed and pace were considered for analysis. No significant correlations were found between physical performance tests and the training load variables. Significant correlations were found between IL (time*RPE), total distance (r=.58, p<.01), maximum speed (r=.43, p=.04) and duration (r=.60, p<.01). The HR was positively associated with average speed (r=.45, p=.04), pace (r=.43, p=.04), maximum speed (r=.64, p<.01). Total distance, average HR and average speed significantly predicted IL during training F(4.18) =3.17; p =.04; R2 =.48. Data suggests that subjective instruments like RPE seems to be a good instrument to assess the training load in surf training. In terms of training for surfing, maximum speed seems to be a determinant factor in the estimation of IL perception.

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Funding information

The authors wish to acknowledge the involvement of Surfing Viana High Performance Centre and gratitude to the surfers involved in this study.

Funders

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