The Quantification of Within-Week Session Intensity, Duration, and Intensity Distribution Across a Season in Australian Football Using the Session Rating of Perceived Exertion Method

Juhari, Farhan; Ritchie, Dean; O’Connor, Fergus; Pitchford, Nathan W.; Weston, Matthew; Thornton, Heidi R.; Bartlett, Jonathan

doi:10.1123/ijspp.2017-0626

Cited by 12 publications

(16 citation statements)

References 24 publications

(33 reference statements)

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“…This serves to identify the key TL parameters that have the strongest association with performance, in order to better provide the practitioners with an evidence-based approach for the monitoring of TL across different periods of the season. The changes in TL between the pre-season, and various periods of the in-season is in agreement with previous studies on soccer [5,33,41], futsal [44] Australian football [34,45,47], rugby [24] and basketball [8]. Variation in TL across the in-season phases (early, mid, late) also suggests that changes in TL could be expected during the competitive periods of the season.…”

Section: Discussionsupporting

confidence: 90%

Relationship of Training Load with High-intensity Running in Professional Soccer Players

Lee

Mukherjee

2019

Int J Sports Med

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This study determined the training load (TL) and its relationship with high-intensity running performance across the season in professional soccer players. The TL, YoYo Intermittent Recovery Test Level 2 (YYIR 2) and repeated sprint ability (RSA) were monitored in 29 players (age 26.2±3.8 years, height 173.6±5.6 cm, body mass 68.5±8.6 kg). In the mid in-season (MS), Lucia TRIMP (TRIMPL) was inversely correlated with YYIR 2 (r=−0.6, p<0.05), with total distance (TD), work-rate (WR), low-intensity distance (LID) and player load (PL) showing correlation with YYIR 2 (r=0.81, 0.77, 0.88, 0.67; p<0.05) in the late in-season (LS). In pre-season (PS), TD, WR and moderate-intensity distance (MID) were correlated with YYIR 2 (r=0.65, 0.80, 0.83, p<0.05), whereas in early in-season (ES), TD, WR, LID were correlated with YYIR 2 performance (r=0.58, 0.67, 0.55, p<0.05). There was no significant relationship (p>0.05) between TL and RSA. The findings showed the volume, intensity and types of TL accrued influences the relationship with physical performance that suggest the significance of phase-specific monitoring of TL for maximizing performance in soccer players.

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Section: Discussionsupporting

confidence: 90%

Relationship of Training Load with High-intensity Running in Professional Soccer Players

Lee

Mukherjee

2019

Int J Sports Med

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“…The statistical software R (version 3.5.1) was used for all analyses. Linear mixed models fitted with maximum likelihood estimation were constructed for each dependent variable (total distance, high-speed running (HSR) distance, and sprint distance) using the lme4 package (version 1.1-20) [27,28]. Player position was treated as a fixed effect, while matches and athletes were included as crossed random intercept effects.…”

Section: Discussionmentioning

confidence: 99%

The Physical Demands of NCAA Division I Women’s College Soccer

Sausaman

Sams²,

DeWeese

et al. 2019

JFMK

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Extensive research into women's collegiate soccer is scarce, leaving gaps in the literature with little information available detailing the physical demands at different standards of play. Our purpose was to elucidate the physical demands of the Division I collegiate level and identify differences between playing positions. Twenty-three field players were observed during four competitive seasons using 10-Hz GPS units (Catapult Sports, Melbourne, Australia). Descriptive statistics and 95% confidence intervals were used to determine group and position-specific physical demands. Linear mixed modelling (LMM) was used to compare attacker, midfielder, and defender position groups. Total distance, high-speed distance, and sprint distance were 9486 ± 300 m, 1014 ± 118 m, and 428 ± 70 m, respectively. Furthermore, attackers were observed to cover the greatest distance at all speeds compared to midfielders and defenders. Our findings suggest that the physical demands of Division I women's soccer differ by position and appear lower compared to higher standards of play. Therefore, coaches and sports scientists responsible for the physical training of Division I collegiate players should consider the specific physical demands of the collegiate level and playing position when prescribing training, as well as in the development of their annual training programs.

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“…Previous investigations into associations of load with non‐contact injury occurrence in football examined the prognostic value of composite measures of external and internal load as potential risk factors yielding unclear and inconsistent findings . However, these studies were not without methodological shortcomings, most notably the use of ratio indices, multiple load time bins analyzed as categorical variables, and a composite score . Additionally, the failure of researchers to distinguish the specific nature of an event within the spectrum of acute or overuse injuries represents and additional limitation substantiating the limited practical utility of load‐injury studies in the available literature .…”

Section: Discussionmentioning

confidence: 99%

“…Despite being widely adopted in this context, s‐RPE is not without limitation as a global measure of effort perception. It might underrepresent the stochastic demands of football and obfuscate the separate effects and contribution of intensity and duration on the training process …”

Section: Discussionmentioning

confidence: 99%

“…Finally, previous investigations used a composite measure of internal load that combines training and competition duration with perceived exertion (session‐RPE, s‐RPE) . While this approach is useful for quantifying weekly and training phase load, a specific breakdown is unclear as the score neglects quantification of intensity and duration in isolation, both of which are important for effective training planning …”

Section: Introductionmentioning

confidence: 99%

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No association between perceived exertion and session duration with hamstring injury occurrence in professional football

Lolli

Bahr

Weston

et al. 2019

Scandinavian Med Sci Sports

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Training and competition loads have emerged as modifiable composite risk factors of non‐contact injury. Hamstring strains are the most common injuries in football with substantial burden on the individual player and club. Nevertheless, robust evidence of a consistent load‐hamstring injury relationship in professional football is lacking. Using available data from the Qatar Stars League over three competitive seasons, this study investigated the separate and combined effects of perceived exertion and session duration on hamstring injury occurrence in a sample of 30 outfield football players. Load variables were calculated into 7‐day, 14‐day, 21‐day, 28‐day periods of data, and week‐to‐week changes for average ratings of perceived exertion (RPE; au) score and session‐RPE (s‐RPE; session‐duration × score), plus the cumulative training and match minutes and s‐RPE, respectively. Conditional logistic regression models estimated load‐injury relationships per 2‐within‐subject standard deviation increments in each candidate variable. Associations were declared practically important based on the location of the confidence interval in relation to thresholds of 0.90 and 1.11 defining small beneficial and harmful effects, respectively. The uncertainty for the corrected odds ratios show that typically high within‐subject increments in each candidate variable were not practically important for training‐ and match‐related hamstring injury (95% confidence intervals range: 0.85 to 1.16). We found limited exploratory evidence regarding the value of perceived exertion and session duration as etiological factors of hamstring injury in Middle‐East professional football. Monitoring remains valuable to inform player load management strategies, but our exploratory findings suggest its role for type‐specific injury risk determination appears empirically unsupported.

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The Quantification of Within-Week Session Intensity, Duration, and Intensity Distribution Across a Season in Australian Football Using the Session Rating of Perceived Exertion Method

Cited by 12 publications

References 24 publications

Relationship of Training Load with High-intensity Running in Professional Soccer Players

Relationship of Training Load with High-intensity Running in Professional Soccer Players

The Physical Demands of NCAA Division I Women’s College Soccer

No association between perceived exertion and session duration with hamstring injury occurrence in professional football

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