The relationship between team-level and league-level injury rate, type and location in a professional football league.

Lu, D; McCall, A; Jones, M; Duffield, R

The relationship between team-level and league-level injury rate, type and location in a professional football league.

Lu, D

McCall, A

Jones, M Duffield, R

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Publisher:: Elsevier
Publication Type:: Journal Article
Citation:: Journal of Science and Medicine in Sport, 2022, 25, (7), pp. 564-568
Issue Date:: 2022-07

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Field	Value	Language
dc.contributor.author	Lu, D https://orcid.org/0000-0001-6294-4953
dc.contributor.author	McCall, A https://orcid.org/0000-0003-3780-8153
dc.contributor.author	Jones, M
dc.contributor.author	Duffield, R https://orcid.org/0000-0002-5641-1314
dc.date.accessioned	2022-10-04T04:29:00Z
dc.date.available	2022-03-28
dc.date.available	2022-10-04T04:29:00Z
dc.date.issued	2022-07
dc.identifier.citation	Journal of Science and Medicine in Sport, 2022, 25, (7), pp. 564-568
dc.identifier.issn	1440-2440
dc.identifier.issn	1878-1861
dc.identifier.uri	http://hdl.handle.net/10453/162292
dc.description.abstract	OBJECTIVES: To describe the relationship between team- and league-level variability of injury rate, type, and location over 6 seasons in professional Australian football (A-League). DESIGN: Prospective epidemiological study. METHODS: Injury incidence, type and location were collected from all A-League teams (n = 10) for 6 consecutive seasons (2012/13 to 2017/18) via a standardised injury surveillance system. Intra-class correlation and coefficient of variation were calculated to assess the between-season variability of injury measures for each team. To determine the relationship between team-level injury variability on league-level injury rates, Marginal Coefficient of Determination to Coefficient of Determination were then calculated from generalised linear mixed models. This allowed determination between season trends, where league-level injury incidence, type- and location rates as the response variables, season as the predictor variable and teams as random intercepts. RESULTS: The majority of teams showed poor to moderate correlations for between-season injury rates (intra-class correlation: r = 0.319-0.831), but also showed low-moderate variability between-seasons for injury rate (coefficient of variation 34 ± 22%). League injury rates were stable, though were reduced in 2015/16 compared to 2012/13 (β = 0.738; p = 0.011). Joint/Ligament injuries had coinciding significant reduction in 2015/16 (p = 0.001). The model variance showed the reduction of Joint/Ligament injuries was league-wide rather than team-specific (Marginal Coefficient of Determintion = 0.23; Coefficient of Determination = 0.23). CONCLUSIONS: In the A-League, low between-season injury rate variability from teams contributed to a stable league-level injury trend over seasons. A reduction in league injury rate in 2015/16 was mirrored by league-wide Joint/Ligament injury rates, without specific effect by team.
dc.format	Print-Electronic
dc.language	eng
dc.publisher	Elsevier
dc.relation.ispartof	Journal of Science and Medicine in Sport
dc.relation.isbasedon	10.1016/j.jsams.2022.03.017
dc.rights	info:eu-repo/semantics/embargoedAccess
dc.subject	1106 Human Movement and Sports Sciences, 1116 Medical Physiology, 1117 Public Health and Health Services
dc.subject.classification	Sport Sciences
dc.subject.mesh	Athletic Injuries
dc.subject.mesh	Australia
dc.subject.mesh	Football
dc.subject.mesh	Humans
dc.subject.mesh	Incidence
dc.subject.mesh	Prospective Studies
dc.subject.mesh	Soccer
dc.subject.mesh	Athletic Injuries
dc.subject.mesh	Australia
dc.subject.mesh	Football
dc.subject.mesh	Humans
dc.subject.mesh	Incidence
dc.subject.mesh	Prospective Studies
dc.subject.mesh	Soccer
dc.subject.mesh	Humans
dc.subject.mesh	Athletic Injuries
dc.subject.mesh	Incidence
dc.subject.mesh	Prospective Studies
dc.subject.mesh	Football
dc.subject.mesh	Soccer
dc.subject.mesh	Australia
dc.title	The relationship between team-level and league-level injury rate, type and location in a professional football league.
dc.type	Journal Article
utslib.citation.volume	25
utslib.location.activity	Australia
utslib.for	1106 Human Movement and Sports Sciences
utslib.for	1116 Medical Physiology
utslib.for	1117 Public Health and Health Services
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Health
pubs.organisational-group	/University of Technology Sydney/Strength - CHSP - Health Services and Practice
utslib.copyright.status	open_access	*
pubs.consider-herdc	false
utslib.copyright.embargo	2024-03-01T00:00:00+1000Z
dc.date.updated	2022-10-04T04:28:59Z
pubs.issue	7
pubs.publication-status	Published
pubs.volume	25
utslib.citation.issue	7

Abstract:

OBJECTIVES: To describe the relationship between team- and league-level variability of injury rate, type, and location over 6 seasons in professional Australian football (A-League). DESIGN: Prospective epidemiological study. METHODS: Injury incidence, type and location were collected from all A-League teams (n = 10) for 6 consecutive seasons (2012/13 to 2017/18) via a standardised injury surveillance system. Intra-class correlation and coefficient of variation were calculated to assess the between-season variability of injury measures for each team. To determine the relationship between team-level injury variability on league-level injury rates, Marginal Coefficient of Determination to Coefficient of Determination were then calculated from generalised linear mixed models. This allowed determination between season trends, where league-level injury incidence, type- and location rates as the response variables, season as the predictor variable and teams as random intercepts. RESULTS: The majority of teams showed poor to moderate correlations for between-season injury rates (intra-class correlation: r = 0.319-0.831), but also showed low-moderate variability between-seasons for injury rate (coefficient of variation 34 ± 22%). League injury rates were stable, though were reduced in 2015/16 compared to 2012/13 (β = 0.738; p = 0.011). Joint/Ligament injuries had coinciding significant reduction in 2015/16 (p = 0.001). The model variance showed the reduction of Joint/Ligament injuries was league-wide rather than team-specific (Marginal Coefficient of Determintion = 0.23; Coefficient of Determination = 0.23). CONCLUSIONS: In the A-League, low between-season injury rate variability from teams contributed to a stable league-level injury trend over seasons. A reduction in league injury rate in 2015/16 was mirrored by league-wide Joint/Ligament injury rates, without specific effect by team.

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http://hdl.handle.net/10453/162292