http://researchonline.federation.edu.au/vital/access/manager/Index ${session.getAttribute("locale")} 5 http://researchonline.federation.edu.au/vital/access/manager/Repository/vital:16713 Wed 19 Oct 2022 13:03:46 AEDT ]]> http://researchonline.federation.edu.au/vital/access/manager/Repository/vital:13336 Wed 07 Apr 2021 14:01:29 AEST ]]> http://researchonline.federation.edu.au/vital/access/manager/Repository/vital:13332 49,775 m [reference: 34,613–49,775 m]: HR 0.12, 95%CI 0.04–0.36, sRPE: >1266 AU [reference: 852–1266 AU]: HR 0.09, 95%CI 0.03–0.32). Return to running within 4 days increased subsequent injury risk (3–4 days [reference: 5–6 days]: HR 25.88, 95%CI 2.06–324.4). Attaining moderate-high sprint distance (427–710 m) was protective against subsequent injury (154–426 m: [reference: 427–710 m]: HR 37.41, 95%CI 2.70–518.64). Conclusions: Training load monitoring can inform player rehabilitation programs. Higher rehabilitation training loads delayed RTP; however, moderate-high sprint running loads can protect against subsequent injury. Shared-decision making regarding RTP should include accumulated training loads and consider the trade-off between expedited RTP and lower subsequent injury risk.]]> Wed 07 Apr 2021 14:01:29 AEST ]]> http://researchonline.federation.edu.au/vital/access/manager/Repository/vital:13030 Wed 07 Apr 2021 14:01:13 AEST ]]> http://researchonline.federation.edu.au/vital/access/manager/Repository/vital:11687 1 injury over a playing season. However, there is currently little high-quality epidemiological evidence about the risk of, and relationships between, multiple and subsequent injuries. PURPOSE: To describe the subsequent injuries sustained by Australian Football League (AFL) players over 1 season, including their most common injury diagnoses. STUDY DESIGN: Cohort study; Level of evidence, 3. METHODS: Within-player linked injury data on all date-ordered match-loss injuries sustained by AFL players during 1 full season were obtained. The total number of injuries per player was determined, and in those with >1 injury, the Subsequent Injury Classification (SIC) model was used to code all subsequent injuries based on their Orchard Sports Injury Classification System (OSICS) codes and the dates of injury. RESULTS: There were 860 newly recorded injuries in 543 players; 247 players (45.5%) sustained >/=1 subsequent injuries after an earlier injury, with 317 subsequent injuries (36.9% of all injuries) recorded overall. A subsequent injury generally occurred to a different body region and was therefore superficially unrelated to an index injury. However, 32.2% of all subsequent injuries were related to a previous injury in the same season. Hamstring injuries were the most common subsequent injury. The mean time between injuries decreased with an increasing number of subsequent injuries. CONCLUSION: When relationships between injuries are taken into account, there is a high level of subsequent (and multiple) injuries leading to missed games in an elite athlete group.]]> Wed 07 Apr 2021 13:56:58 AEST ]]>