Modelling the relationships between volume, intensity and injury-risk in professional rugby league players. Issue 6 (June 2019)

• Record Type: Journal Article
• Authors: Cummins, Cloe; Welch, Mitchell; Inkster, Brendan; Cupples, Balin; Weaving, Dan; Jones, Ben; King, Doug; Murphy, Aron
• Is Part Of: Journal of science and medicine in sport. Volume 22:Issue 6(2019)
• Page Start: 653
• Page End: 660
• Publication Date: 2019-06
• Subjects: Injury prevention -- Microtechnology -- Team sport -- Training load; Sports sciences -- Periodicals; Sports medicine -- Periodicals; Exercise -- Physiological aspects -- Periodicals; Sports -- physiology -- Periodicals; Sports Medicine -- Periodicals; Sportgeneeskunde; 617.102705
• DOI: 10.1016/j.jsams.2018.11.028
• Languages: English
• ISSNs: 1440-2440

Abstract

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.