Internal workload and non-contact injury: a one-season study of five teams from the UEFA Elite Club Injury Study

McCall, Alan; Dupont, Grégory; Ekstrand, Jan

doi:10.1136/bjsports-2017-098473

Cited by 72 publications

(70 citation statements)

References 37 publications

(34 reference statements)

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“…Load monitoring is critical to inform medical and performance staff strategies . 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 .…”

Section: Discussionmentioning

confidence: 99%

“…We calculated the following exposure variables: (a) average RPE score, (b) average s‐RPE (session duration

\times

score), (c) cumulative exposure in minutes, and (d) cumulative s‐RPE calculated over 7‐day, 14‐day, 21‐day, and 28‐day periods. In addition to this, week‐to‐changes for cumulative duration in minutes and s‐RPE were derived . These data were, therefore, calculated into the predefined load periods in which the injury (a) occurred and (b) did not occur (Table ).…”

Section: Methodsmentioning

confidence: 99%

“…Second, studies have calculated acute and chronic external and internal loads represented by prior 7‐, 14‐, 21‐, and 28‐day loads, week‐to‐week changes, and the acute: chronic workload ratio (ACWR), with inconsistent findings . Despite inherent limitations of this ratio for applied and medical purposes, recent studies in football have examined associations between typically high ACWR values and increased non‐contact injury risk . Furthermore, transforming continuous measures of load into categorical variables (eg, high, moderate, and low) involves a loss of statistical power, increased Type I error rates, and an underestimation of the variation in the outcome of interest .…”

Section: Introductionmentioning

confidence: 99%

“…Furthermore, transforming continuous measures of load into categorical variables (eg, high, moderate, and low) involves a loss of statistical power, increased Type I error rates, and an underestimation of the variation in the outcome of interest . Third, previous research has compared the load pattern of injured players to that of their uninjured teammates . It seems more appropriate to compare injured players to themselves, that is, whether the load pattern preceding injury differs from their usual load.…”

Section: Introductionmentioning

confidence: 99%

“…It seems more appropriate to compare injured players to themselves, that is, whether the load pattern preceding injury differs from their usual load. 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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Section: Discussionmentioning

confidence: 99%

“…We calculated the following exposure variables: (a) average RPE score, (b) average s‐RPE (session duration