Injury risk-workload associations in NCAA American college football

Sampson, JA; Murray, A; Williams, S; Halseth, T; Hanisch, J; Golden, G; Fullagar, HHK

Injury risk-workload associations in NCAA American college football

Sampson, JA Murray, A Williams, S Halseth, T Hanisch, J Golden, G Fullagar, HHK

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Publication Type:: Journal Article
Citation:: Journal of Science and Medicine in Sport, 2018, 21 (12), pp. 1215 - 1220
Issue Date:: 2018-12-01

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Field	Value	Language
dc.contributor.author	Sampson, JA	en_US
dc.contributor.author	Murray, A	en_US
dc.contributor.author	Williams, S	en_US
dc.contributor.author	Halseth, T	en_US
dc.contributor.author	Hanisch, J	en_US
dc.contributor.author	Golden, G	en_US
dc.contributor.author	Fullagar, HHK https://orcid.org/0000-0001-9426-5373	en_US
dc.date.available	2020-12-01T18:05:13Z
dc.date.issued	2018-12-01	en_US
dc.identifier.citation	Journal of Science and Medicine in Sport, 2018, 21 (12), pp. 1215 - 1220	en_US
dc.identifier.issn	1440-2440	en_US
dc.identifier.uri	http://hdl.handle.net/10453/129229
dc.description.abstract	© 2018 Sports Medicine Australia Objectives: To determine injury risk-workload associations in collegiate American Football. Design: Retrospective analysis. Methods: Workload and injury data was recorded from 52 players during a full NCAA football season. Acute, chronic, and a range of acute:chronic workload ratios (ACWR: 7:14, 7:21 and 7:28 day) calculated using rolling and exponentially weighted moving averages (EWMA) were plotted against non-contact injuries (regardless of time lost or not) sustained within 3- and 7-days. Injury risks were also determined relative to position and experience. Results: 105 non-contact injuries (18 game- and 87 training-related) were observed with almost 40% sustained during the pre-season. 7–21 day EWMA ACWR's with a 3-day injury lag were most closely associated with injury (R2 = 0.54). Relative injury risks were >3× greater with high compared to moderate and low ratios and magnified when combined with low 21-day chronic workloads (injury probability = 92.1%). Injury risks were similar across positions. ‘Juniors’ presented likely and possibly increased overall injury risk compared to ‘Freshman’ (RR: 1.94, CI 1.07–3.52) and 'seniors’ (RR: 1.7, CI 0.92–3.14), yet no specific ACWR – experience or – position interactions were identified. Conclusions: High injury rates during college football pre-season training may be associated with high acute loads. In-season injury risks were greatest with high ACWR and evident even when including (more common and less serious) non-time loss injuries. Substantially increased injury risks when low 21-day chronic workloads and concurrently high EWMA ACWR highlights the importance of load management for individuals with chronic game- (non-involved on game day) and or training (following injury) absences.	en_US
dc.relation.ispartof	Journal of Science and Medicine in Sport	en_US
dc.relation.isbasedon	10.1016/j.jsams.2018.05.019	en_US
dc.rights	info:eu-repo/semantics/openAccess
dc.subject.classification	Sport Sciences	en_US
dc.subject.mesh	Humans	en_US
dc.subject.mesh	Athletic Injuries	en_US
dc.subject.mesh	Risk Factors	en_US
dc.subject.mesh	Universities	en_US
dc.subject.mesh	Football	en_US
dc.subject.mesh	Workload	en_US
dc.subject.mesh	United States	en_US
dc.subject.mesh	Male	en_US
dc.title	Injury risk-workload associations in NCAA American college football	en_US
dc.type	Journal Article
utslib.citation.volume	12	en_US
utslib.citation.volume	21	en_US
utslib.for	1106 Human Movement and Sports Sciences	en_US
utslib.for	1116 Medical Physiology	en_US
utslib.for	1117 Public Health and Health Services	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Health
pubs.organisational-group	/University of Technology Sydney/Faculty of Health/Sports and Exercise Science
utslib.copyright.status	open_access	*
pubs.issue	12	en_US
pubs.publication-status	Published	en_US
pubs.volume	21	en_US

Abstract:

© 2018 Sports Medicine Australia Objectives: To determine injury risk-workload associations in collegiate American Football. Design: Retrospective analysis. Methods: Workload and injury data was recorded from 52 players during a full NCAA football season. Acute, chronic, and a range of acute:chronic workload ratios (ACWR: 7:14, 7:21 and 7:28 day) calculated using rolling and exponentially weighted moving averages (EWMA) were plotted against non-contact injuries (regardless of time lost or not) sustained within 3- and 7-days. Injury risks were also determined relative to position and experience. Results: 105 non-contact injuries (18 game- and 87 training-related) were observed with almost 40% sustained during the pre-season. 7–21 day EWMA ACWR's with a 3-day injury lag were most closely associated with injury (R2 = 0.54). Relative injury risks were >3× greater with high compared to moderate and low ratios and magnified when combined with low 21-day chronic workloads (injury probability = 92.1%). Injury risks were similar across positions. ‘Juniors’ presented likely and possibly increased overall injury risk compared to ‘Freshman’ (RR: 1.94, CI 1.07–3.52) and 'seniors’ (RR: 1.7, CI 0.92–3.14), yet no specific ACWR – experience or – position interactions were identified. Conclusions: High injury rates during college football pre-season training may be associated with high acute loads. In-season injury risks were greatest with high ACWR and evident even when including (more common and less serious) non-time loss injuries. Substantially increased injury risks when low 21-day chronic workloads and concurrently high EWMA ACWR highlights the importance of load management for individuals with chronic game- (non-involved on game day) and or training (following injury) absences.

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http://hdl.handle.net/10453/129229