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Abstract
The aim of the present study was to examine the relationships between internal training loads (TL) (Banister, Edwards Training-Impulse (TRIMP), session RPE (s-RPE)) and external TL (Total distance (TD), high speed distance (HSD), high metabolic distance (HMD) in amateur soccer players. Nine male amateur soccer players (age = 28.74±5.2 years; height 173.74± 8.04 cm; weight 72.73±5.5 kg) voluntarily participated in the study. Individual field-based training sessions were monitored over 8 weeks. The results showed that there were moderate and very large correlations between s-RPE and both Edwards and Banister’s TRIMP (respectively, r = 0.42-0.86; r= 0.45-0.85). Additionally, from large to nearly perfect correlations were observed between the HR-based methods (r= 0.58-0.98). We also found moderate to very large correlations between s-RPE and HMD and large to nearly perfect correlations between HR-based TL methods and HMD. Correlations between internal load and external load parameters was weaker in HSD than TD. In the light of the results of the current study, internal and external loads should not be used interchangeable and HMD seems to be appropriate to monitor TL in soccer players because its equations include both speed and acceleration values.
Highlights
To better understand the demands of soccer, training and match load must be tracked using accurate empirical methods (Bradley, Di Mascio, Peart, Olsen, & Sheldon, 2010; Dalen, JØrgen, Gertjan, Havard, & Ulrik, 2016)
The correlations found between s-rating of perceived exertion (RPE) with both Edwards’ training impulse (TRIMP) and Banister’s TRIMP ranged from moderate to very large, and there were from large to nearly perfect correlations between HRbased TL methods (Table 3)
These results are in line with previous studies that have examined the relationships between internal methods for quantifying training load in soccer players
Summary
To better understand the demands of soccer, training and match load must be tracked using accurate empirical methods (Bradley, Di Mascio, Peart, Olsen, & Sheldon, 2010; Dalen, JØrgen, Gertjan, Havard, & Ulrik, 2016). Players cover 10–14 km, mainly performing low intensity aerobic exercise (Andrzejewski, Chmura, Pluta, & Kasprzak, 2012; Bangsbo, Mohr, & Krustrup, 2006; Stølen, Chamari, Castagna, & Wisløff, 2005). 30 times over distances totaling around 230 m in soccer matches (Andrzejewski, Chmura, Pluta, Strzelczyk, & Kasprzak, 2013; Dellal et al, 2011), have a very important influence on the energy production processes of soccer players (Bangsbo et al, 2006; Mohr, Krustrup, & Bangsbo, 2003; Stølen et al, 2005). The accurate measurement of energy expenditure associated with soccer competition is a very difficult process because of the complex structure of the game. The continued monitoring of the effectiveness of different methods in measuring the demands of soccer games helps coaches to select appropriate training strategies and technologies (Andrzejewski et al, 2013)
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