Identifying high risk loading conditions for in-season injury in elite Australian football players

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Deutscher übersetzter Titel:Identifizierung von risikobehafteten Belastungsbedingungen für Verletzungen in der Saison bei australischen Football-Spitzenspielern
Autor:Stares, Jordan; Dawson, Brian; Peeling, Peter; Heasman, Jarryd; Rogalski, Brent; Drew, Michael; Colby, Marcus; Dupont, Grégory; Lester, Leanne
Erschienen in:Journal of science and medicine in sport
Veröffentlicht:21 (2018), 1, S. 46-51, Lit.
Format: Literatur (SPOLIT)
Publikationstyp: Zeitschriftenartikel
Medienart: Elektronische Ressource (online) Gedruckte Ressource
Sprache:Englisch
ISSN:1440-2440, 1878-1861
DOI:10.1016/j.jsams.2017.05.012
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Erfassungsnummer:PU201803002260
Quelle:BISp

Abstract des Autors

Objectives: To examine different timeframes for calculating acute to chronic workload ratio (ACWR) and whether this variable is associated with intrinsic injury risk in elite Australian football players.
Design: Prospective cohort study.
Methods: Internal (session rating of perceived exertion: sRPE) and external (GPS distance and sprint distance) workload and injury data were collected from 70 players from one AFL club over 4 seasons. Various acute (1–2 weeks) and chronic (3–8 weeks) timeframes were used to calculate ACWRs: these and chronic load categories were then analysed to determine the injury risk in the subsequent month. Poisson regression with robust errors within a generalised estimating equation were utilised to determine incidence rate ratios (IRR).
Results: Altering acute and/or chronic timeframes did not improve the ability to detect high injury risk conditions above the commonly used 1:4 week ACWR. Twenty-seven ACWR/chronic load combinations were found to be “high risk conditions” (IRR > 1, p < 0.05) for injury within 7 days. Most (93%) of these conditions occurred when chronic load was low or very low and ACWR was either low (<0.6) or high (>1.5). Once a high injury risk condition was entered, the elevated risk persisted for up to 28 days.
Conclusions: Injury risk was greatest when chronic load was low and ACWR was either low or high. This heightened risk remained for up to 4 weeks. There was no improvement in the ability to identify high injury risk situations by altering acute or chronic time periods from 1:4 weeks.