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This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
Article
Author(s)
Riccardo Izzo and Marco Giovannelli
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DOI:10.17265/2332-7839/2018.03.004
Affiliation(s)
School of Health and Sport Science, DISB, University of Urbino Carlo Bo, Urbino (Pu) 61029, Italy
ARGS, Advanced Research Group in Sport, School of Health and Sport Science with K-Sport Universal, Urbino (Pu) 61029, Italy
ABSTRACT
The purpose of this study
is to verify the physiological effect and describe the intensity of training in
response to internal and external loads, through Session Rate of Perceived
Exertion and Speed High Intensity Distance in Meters reports, on professional
soccer players engaged in weekly training (199 Sessions, 43 weeks) and league
games (32 official matches). Twenty-two male
professional soccer players (n = 22)
of the Italian national championship under-19 are involved in this study during
the season 2014-2015. Daily, Weekly and Monthly RPE
(perceived exertion) Session (Borg CR-10
Scale) is a good indicator of the amount of work done: training time multiplied
by perceived effort (TL = Training Time × RPE). With Arbitrary units (a.u.) produced by the
individual and used for team-based data analysis, we
analyze the intensity produced by workout depending on the working time.
Furthermore, by means of global positioning system technology (K-Sport,
Montelabbate PU, Italy 10 Hz), we statistically established the existing
relationship with high intensity speed distance (> 16 km/h) and session rate
of perceived exertion to describe how the internal
(represented by the sum of the stresses that the body
undergoes an external load; is strictly subjective) and external loads (the objective
quantification of the means used in training km routes, running speed, slope,
type of recovery), are correlated (r = 0.87, p <0.01, 95% CI). The
statistical analysis highlights how these methods are suitable to quantifying
the high-intensity work done by the soccer player during the workout and the
game.
KEYWORDS
Internal load, external load, session rate of perceived exertion, global positioning system, high intensity distance running in meters (> 16 km/h).
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