Characteristics impacting on session rating of perceived exertion training load in Australian footballers

Gallo, Tania F.; Cormack, Stuart J.; Gabbett, Tim J.; Williams, Morgan; Lorenzen, Christian

doi:10.1080/02640414.2014.947311

Cited by 81 publications

(101 citation statements)

References 39 publications

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“…The results of the current study support previous research findings in running-based team sports Gallo, et al, 2015;Scott, Lockie, Knight, Clark, & Janse de Jonge, 2013). To date, only one study (Scanlan, et al, 2014) investigated the relationship between accelerometer-derived load and sRPE in basketball, but with eight semi-professional male players.…”

Section: Discussionsupporting

confidence: 89%

“…A very similar pattern was observed between PL and the mentioned external variables, since they belonged to the same representative natural group (after the application of the cluster analysis), as suggested by Fernandez, Medina, Gomez, Arias, and Gavalda (2016). Like in other team sports Gallo, et al, 2015), this further confirms a strong correlation between PL and sRPE in elite basketball, expressed as mechanical and biochemical stress (Vanrenterghem, et al, 2017), respectively. Regardless of this high correlation between the two groups of variables, it seems that recording of both could provide a better understanding of players' adaptation or increased states of fatigue.…”

Section: Discussionsupporting

confidence: 80%

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Load monitoring system in top-level basketball team

Svilar

Castellano

Jukić

2018

Kinesiology (Zagreb, Online)

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Abstract:The study aimed to describe and compare the external training load, monitored using microtechnology, with the internal training load, expressed as the session rating of perceived exertion (sRPE), in elite male basketball training sessions. Thirteen professional basketball players participated in this study (age=25.7±3.3 years; body height=199.2±10.7 cm; body mass=96.6±9.4 kg). All players belonged to the same team, competing in two leagues, ACB and the Euroleague, in the 2016/2017 season. The variables assessed within the external motion analysis included: player load (PL), acceleration and deceleration (ACC/DEC), jumps (JUMP), and changes of direction (CoD). The internal demands were registered using the sRPE method. Pearson productmoment correlations were used to determine relationships between the variables. A significant correlation was observed between the external load variables and sRPE (range r=0.71-0.93). Additionally, the sRPE variable showed a high correlation with the total PL, ACC, DEC, and CoD. The contrary was observed with respect to the relationship between sRPE and JUMP variables: the correlation was higher for the high band and lower for the total number of jumps. With respect to the external load variables, a stronger correlation was found between PL and the total number of ACC, DEC and CoD than the same variables within the high band. The only contrary finding was the correlation between PL and JUMP variables, which showed a stronger correlation for hJUMP. Tri-axial accelerometry technology and the sRPE method serve as valuable tools for monitoring the training load in basketball. Even though the two methods exhibit a strong correlation, some variation exists, likely due to frequent static movements (i.e., isometric muscle contractions) that accelerometers are not able to detect. Finally, it is suggested that both methods are to be used complementary, when possible, in order to design and control the training process as effectively as possible.

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Section: Discussionsupporting

confidence: 89%

Section: Discussionsupporting

confidence: 80%

Load monitoring system in top-level basketball team

Svilar

Castellano

Jukić

2018

Kinesiology (Zagreb, Online)

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“…Several of these load variables have been linked to subjective ratings of perceived exertion (RPE) in football (Gaudino et al 2015) and other team sports (Lovell et al 2013;Gallo et al 2015). However, a combination of variables predicted RPE better than any variable alone in rugby (Lovell et al 2013).…”

Section: Introductionmentioning

confidence: 99%

Quantification of in-season training load relative to match load in professional Dutch Eredivisie football players

Stevens¹,

Ruiter²,

Twisk

et al. 2017

Science and Medicine in Football

162

222

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Objectives: The aims of this study were (1) to quantify and compare the load of a professional football team's training days and matches and (2) to compare training of nonstarters the day after the match with regular training of starters and nonstarters. Methods: On-field training load during in-season training days (categorized as days before match day, i.e., MD minus) and 3 friendly matches were recorded using alocal positioning measurement system. Results: Mixed linear models showed lower load when training approached match day. Relative to match values (100%), training values for running (52 -20%; MD-4 -MD-1) and high-speed running (38 -15%) were lower than for total distance (67 -35%), and all considerably lower than match values. On average, medium and high accelerations and decelerations during training were more similar to match values (90 -39%). Load during nonstarters training was lower than during regular training for almost all variables on MD-4 and several high-intensity variables on MD-3 and MD-2. Conclusions: The results highlight that acceleration and deceleration measures complement more commonly used external load variables based on distance and speed. Furthermore, nonstarters are potentially under-loaded compared to starters, especially in terms of (high-speed) running.

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“…In addition, the use of the self-perceived session rating (s-RPE) method, known more as a subjective tool, has proved useful in determining the internal load of athletes such that the physiological stress to the external load, can effectively be captured. [8][9][10] This approach has now been adopted by a number of teams as part of their training monitoring system. 8 The ability to obtain both objective and subjective measures of TL allows for a more effective prescription of training.…”

Section: Introductionmentioning

confidence: 99%

Quantification of Training and Competition Load Across a Season in an Elite Australian Football Club

Ritchie¹,

Hopkins²,

Buchheit³

et al. 2016

International Journal of Sports Physiology and Performance

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During in-season, half the total load came from games and the remaining half from training, predominantly skills and upper-body weights. Total distance, high-intensity running, andPlayerload showed large to very large reductions from pre-season to in-season, whereas changes in mean speed were trivial across all blocks. All these effects were clear at the 99% level. Conclusions: These data provide useful information about targeted periods of loading and unloading across different stages of a season. Our study also provides a framework for further investigation of training periodization in AF teams.

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Characteristics impacting on session rating of perceived exertion training load in Australian footballers

Cited by 81 publications

References 39 publications

Load monitoring system in top-level basketball team

Load monitoring system in top-level basketball team

Quantification of in-season training load relative to match load in professional Dutch Eredivisie football players

Quantification of Training and Competition Load Across a Season in an Elite Australian Football Club

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