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The relationship between team-level and league-level injury rate, type and location in a professional football league.
Lu, Donna; McCall, Alan; Jones, Mark; Duffield, Rob.
Affiliation
  • Lu D; School of Sport, Exercise & Rehabilitation, Faculty of Health, University of Technology Sydney (UTS), Australia; Medical Department, Football Australia, Australia. Electronic address: Donna.Lu@footballaustralia.com.au.
  • McCall A; School of Sport, Exercise & Rehabilitation, Faculty of Health, University of Technology Sydney (UTS), Australia; Medical Department, Football Australia, Australia.
  • Jones M; Medical Department, Football Australia, Australia.
  • Duffield R; School of Sport, Exercise & Rehabilitation, Faculty of Health, University of Technology Sydney (UTS), Australia; Medical Department, Football Australia, Australia.
J Sci Med Sport ; 25(7): 564-568, 2022 Jul.
Article in En | MEDLINE | ID: mdl-35418333
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 ±â€¯22%). League injury rates were stable, though were reduced in 2015/16 compared to 2012/13 (ß = 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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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Athletic Injuries / Soccer Type of study: Incidence_studies / Observational_studies / Prognostic_studies Limits: Humans Country/Region as subject: Oceania Language: En Journal: J Sci Med Sport Journal subject: MEDICINA ESPORTIVA Year: 2022 Document type: Article Country of publication: Australia

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Athletic Injuries / Soccer Type of study: Incidence_studies / Observational_studies / Prognostic_studies Limits: Humans Country/Region as subject: Oceania Language: En Journal: J Sci Med Sport Journal subject: MEDICINA ESPORTIVA Year: 2022 Document type: Article Country of publication: Australia