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Title: Modelling the relationships between volume, intensity and injury-risk in professional rugby league players
Contributor(s): Cummins, Cloe  (author)orcid ; Welch, Mitchell  (author)orcid ; Inkster, Brendan (author); Cupples, Balin (author); Weaving, Dan (author); Jones, Ben  (author); King, Doug  (author); Murphy, Aron  (author)
Early Online Version: 2018-12-18
Open Access: Yes
DOI: 10.1016/j.jsams.2018.11.028Open Access Link
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Abstract: Objective This study aimed to: (a) identify the association between external-workloads and injury-risk in the subsequent week; and (b) understand the effectiveness of workload variables in establishing injury-risk. Design Retrospective cohort study. Methods Workload and injury data (soft-tissue) were collected from forty-eight professional male rugby league players. Load variables included duration (min), total distance (m), relative distance (m min−1), high speed distance ([m]>20 km h−1), very-high speed distance ([m]>25 km h−1), acceleration and deceleration efforts (count) and PlayerLoad (Arbitrary Unit: AU). Cumulative two-, three- and four-weekly loads; Acute:Chronic Workload Ratio (ACWR); Mean-Standard Deviation Workload Ratio (MSWR) and strain values were calculated and divided into three equally-sized bins (low, moderate and high). Generalised Estimating Equations analysed relationships between workload variables and injury probability in the subsequent week. Results Injury-risk increased alongside increases in the ACWR for duration, total distance and PlayerLoad. Conversely, injury-risk decreased (Area Under Curve: 0.569–0.585) with increases in the four-weekly duration, total distance, accelerations, decelerations and PlayerLoad. For relative distance, high four-weekly workloads (high: >60 m min−1) demonstrated a positive association with injury-risk, whilst high two-weekly loads (high: >82 m min−1) were negatively associated. Conclusions A range of external workload metrics and summary statistics demonstrate either positive or negative associations with injury-risk status. Such findings provide the framework for the development of decision-support systems in which external workload metrics (e.g. total or high speed distance) can be uniquely and routinely monitored across a range of summary statistics (i.e. cumulative weekly loads and ACWR) in order to optimise player performance and welfare.
Publication Type: Journal Article
Source of Publication: Journal of Science and Medicine in Sport
Publisher: Elsevier Australia
Place of Publication: Australia
ISSN: 1440-2440
Field of Research (FOR): 110699 Human Movement and Sports Science not elsewhere classified
110604 Sports Medicine
110601 Biomechanics
Socio-Economic Outcome Codes: 950102 Organised Sports
920409 Injury Control
Peer Reviewed: Yes
HERDC Category Description: C1 Refereed Article in a Scholarly Journal
Appears in Collections:Journal Article
School of Science and Technology

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