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Medicine and Health Sciences Commons

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Sports Sciences

Series

Injury prevention

Technological University Dublin

Publication Year

Articles 1 - 2 of 2

Full-Text Articles in Medicine and Health Sciences

A Six Stage Operational Framework For Individualising Injury Risk Management In Sport, Mark Roe, Shane Malone, Catherine Blake, Kieran Collins, Conor Gissane, Fionn Buttner, John C. Murphy, Eamonn Delahunt Jan 2017

A Six Stage Operational Framework For Individualising Injury Risk Management In Sport, Mark Roe, Shane Malone, Catherine Blake, Kieran Collins, Conor Gissane, Fionn Buttner, John C. Murphy, Eamonn Delahunt

Articles

Managing injury risk is important for maximising athlete availability and performance. Although athletes are inherently predisposed to musculoskeletal injuries by participating in sports, etiology models have illustrated how susceptibility is influenced by repeat interactions between the athlete (i.e. intrinsic factors) and environmental stimuli (i.e. extrinsic factors). Such models also reveal that the likelihood of an injury emerging across time is related to the interconnectedness of multiple factors cumulating in a pattern of either positive (i.e. increased fitness) or negative adaptation (i.e. injury).


The Acute:Chonic Workload Ratio In Relation To Injury Risk In Professional Soccer, Shane Malone, Adam Owen, Matt Newton, Bruno Mendes, Kieran Collins, Tim Gabbett Jan 2016

The Acute:Chonic Workload Ratio In Relation To Injury Risk In Professional Soccer, Shane Malone, Adam Owen, Matt Newton, Bruno Mendes, Kieran Collins, Tim Gabbett

Articles

Forty-eight professional soccer players (mean ± SD age of 25.3 ± 3.1 yr) from two elite European teams were involved within a one season study. Players completed a test of intermittent-aerobic capacity (Yo-YoIR1) to assess player’s injury risk in relation to intermittent aerobic capacity. Weekly workload measures and time loss injuries were recorded during the entire period. Rolling weekly sums and week-to-week changes in workload were measured, allowing for the calculation of the acute:chronic workload ratio, which was calculated by dividing the acute (1-weekly) and chronic (4-weekly) workloads. All derived workload measures were modelled against injury data using logistic regression. …