Open AccessThe prevention of overtraining with the monitoring training loads: case of football
Author(s) -
L. Zeghari,
Hicham Moufti,
Amine Arfaoui,
Yassir Habki
Publication year - 2019
Publication title -
international journal of physical education, fitness and sports
Language(s) - English
Resource type - Journals
eISSN - 2457-0753
pISSN - 2277-5447
DOI - 10.26524/ijpefs1935
Subject(s) - overtraining , football , training (meteorology) , physical therapy , football players , session (web analytics) , team sport , medicine , psychology , physical medicine and rehabilitation , computer science , athletes , meteorology , world wide web , physics , political science , law
The aim of this paper is to use a training load quantification tool (RPE) to evaluate if the training load programmed by the coach is appropriate to the characteristics of these footballers. The study was conducted at the football section of the Sale Sports Association, Morocco, on a sample of 8 football players who practice in the club of the Association, aged between 18 and 21 years, the study was established during a mesocycle in a period from 18/03/2019 to 20/04/2019. For the quantification of the training load (TL) we chose the (RPE) tool, where each footballer must give his own perception of the effort felt in each training session, taking into consideration also the duration of the session. This will allow us to calculate the intensity of the session estimated, on a scale from 0 to 10. Based on the results of the quantification of training load for the 8 footballers, we note that in the majority of the cases, the acute load (AL) is higher than the chronic load (CL) at the end of each week. On the other hand, for the monotony index (MI) that provides information on the negative adaptations of training and overtraining, we note that it present a high value among the majority of footballers (1.8UA<2.1UA). For the average of the ratio of the training load: acute/chronic, we note that for the first three footballers the training loads are higher compared to the others. The monitoring training load help to better conceptualize the adaptations of the athlete to the training, and also allows the prediction of the performance.