Individual and combined effects of acute and chronic running loads on injury risk in elite Australian footballers
A model that takes into account the current workload, and the workload the athlete has been prepared for, as an acute:chronic workload ratio has been previously used as a novel way to monitor training load and injury risk. Fifty‐nine elite Australian football players from one club participated in th...
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| Published in | Scandinavian journal of medicine & science in sports Vol. 27; no. 9; pp. 990 - 998 |
|---|---|
| Main Authors | , , , , |
| Format | Journal Article |
| Language | English |
| Published |
Denmark
Blackwell Publishing Ltd
01.09.2017
|
| Subjects | |
| Online Access | Get full text |
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| Abstract | A model that takes into account the current workload, and the workload the athlete has been prepared for, as an acute:chronic workload ratio has been previously used as a novel way to monitor training load and injury risk. Fifty‐nine elite Australian football players from one club participated in this 2‐year study. Global Positioning System technology was used to provide information on running workloads of players. An injury was defined as any non‐contact “time‐loss” injury. One‐week (acute), along with 4‐week (chronic) workloads were calculated for a range of variables. The size of the acute workload in relation to the chronic workload was calculated as an acute:chronic workload ratio. An acute:chronic workload ratio of >2.0 for total distance during the in‐season was associated with a 5 to 8‐fold greater injury risk in the current [relative risk (RR) = 8.65, P = 0.001] and subsequent week (RR = 5.49, P = 0.016). Players with a high‐speed distance acute:chronic workload ratio of >2.0 were 5–11 times more likely to sustain an injury in the current (RR = 11.62, P = 0.006) and subsequent week (RR = 5.10, P = 0.014). These findings demonstrate that sharp increases in running workload increase the likelihood of injury in both the week the workload is performed, and the subsequent week. |
|---|---|
| AbstractList | A model that takes into account the current workload, and the workload the athlete has been prepared for, as an acute:chronic workload ratio has been previously used as a novel way to monitor training load and injury risk. Fifty‐nine elite Australian football players from one club participated in this 2‐year study. Global Positioning System technology was used to provide information on running workloads of players. An injury was defined as any non‐contact “time‐loss” injury. One‐week (acute), along with 4‐week (chronic) workloads were calculated for a range of variables. The size of the acute workload in relation to the chronic workload was calculated as an acute:chronic workload ratio. An acute:chronic workload ratio of >2.0 for total distance during the in‐season was associated with a 5 to 8‐fold greater injury risk in the current [relative risk (
RR
) = 8.65,
P
= 0.001] and subsequent week (
RR
= 5.49,
P
= 0.016). Players with a high‐speed distance acute:chronic workload ratio of >2.0 were 5–11 times more likely to sustain an injury in the current (
RR
= 11.62,
P
= 0.006) and subsequent week (
RR
= 5.10,
P
= 0.014). These findings demonstrate that sharp increases in running workload increase the likelihood of injury in both the week the workload is performed, and the subsequent week. A model that takes into account the current workload, and the workload the athlete has been prepared for, as an acute:chronic workload ratio has been previously used as a novel way to monitor training load and injury risk. Fifty‐nine elite Australian football players from one club participated in this 2‐year study. Global Positioning System technology was used to provide information on running workloads of players. An injury was defined as any non‐contact “time‐loss” injury. One‐week (acute), along with 4‐week (chronic) workloads were calculated for a range of variables. The size of the acute workload in relation to the chronic workload was calculated as an acute:chronic workload ratio. An acute:chronic workload ratio of >2.0 for total distance during the in‐season was associated with a 5 to 8‐fold greater injury risk in the current [relative risk (RR) = 8.65, P = 0.001] and subsequent week (RR = 5.49, P = 0.016). Players with a high‐speed distance acute:chronic workload ratio of >2.0 were 5–11 times more likely to sustain an injury in the current (RR = 11.62, P = 0.006) and subsequent week (RR = 5.10, P = 0.014). These findings demonstrate that sharp increases in running workload increase the likelihood of injury in both the week the workload is performed, and the subsequent week. A model that takes into account the current workload, and the workload the athlete has been prepared for, as an acute:chronic workload ratio has been previously used as a novel way to monitor training load and injury risk. Fifty-nine elite Australian football players from one club participated in this 2-year study. Global Positioning System technology was used to provide information on running workloads of players. An injury was defined as any non-contact "time-loss" injury. One-week (acute), along with 4-week (chronic) workloads were calculated for a range of variables. The size of the acute workload in relation to the chronic workload was calculated as an acute:chronic workload ratio. An acute:chronic workload ratio of >2.0 for total distance during the in-season was associated with a 5 to 8-fold greater injury risk in the current [relative risk (RR) = 8.65, P = 0.001] and subsequent week (RR = 5.49, P = 0.016). Players with a high-speed distance acute:chronic workload ratio of >2.0 were 5-11 times more likely to sustain an injury in the current (RR = 11.62, P = 0.006) and subsequent week (RR = 5.10, P = 0.014). These findings demonstrate that sharp increases in running workload increase the likelihood of injury in both the week the workload is performed, and the subsequent week. A model that takes into account the current workload, and the workload the athlete has been prepared for, as an acute:chronic workload ratio has been previously used as a novel way to monitor training load and injury risk. Fifty-nine elite Australian football players from one club participated in this 2-year study. Global Positioning System technology was used to provide information on running workloads of players. An injury was defined as any non-contact "time-loss" injury. One-week (acute), along with 4-week (chronic) workloads were calculated for a range of variables. The size of the acute workload in relation to the chronic workload was calculated as an acute:chronic workload ratio. An acute:chronic workload ratio of >2.0 for total distance during the in-season was associated with a 5 to 8-fold greater injury risk in the current [relative risk (RR) = 8.65, P = 0.001] and subsequent week (RR = 5.49, P = 0.016). Players with a high-speed distance acute:chronic workload ratio of >2.0 were 5-11 times more likely to sustain an injury in the current (RR = 11.62, P = 0.006) and subsequent week (RR = 5.10, P = 0.014). These findings demonstrate that sharp increases in running workload increase the likelihood of injury in both the week the workload is performed, and the subsequent week. |
| Author | Hulin, B. T. McLellan, C. P. Townshend, A. D. Murray, N. B. Gabbett, T. J. |
| Author_xml | – sequence: 1 givenname: N. B. surname: Murray fullname: Murray, N. B. email: nicholas.murray@myacu.edu.au organization: Australian Catholic University – sequence: 2 givenname: T. J. surname: Gabbett fullname: Gabbett, T. J. organization: The University of Queensland – sequence: 3 givenname: A. D. surname: Townshend fullname: Townshend, A. D. organization: Australian Catholic University – sequence: 4 givenname: B. T. surname: Hulin fullname: Hulin, B. T. organization: University of Wollongong – sequence: 5 givenname: C. P. surname: McLellan fullname: McLellan, C. P. organization: Bond University |
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/27418064$$D View this record in MEDLINE/PubMed |
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| SubjectTerms | Adult Athletes Athletic Injuries - epidemiology Australia competition Geographic Information Systems GPS Humans Male monitoring Risk factors Running Running - injuries Soccer Soccer - injuries Sports injuries Sports medicine training workload Young Adult |
| Title | Individual and combined effects of acute and chronic running loads on injury risk in elite Australian footballers |
| URI | https://onlinelibrary.wiley.com/doi/abs/10.1111%2Fsms.12719 https://www.ncbi.nlm.nih.gov/pubmed/27418064 https://www.proquest.com/docview/1929859676 https://search.proquest.com/docview/1826720946 |
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