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Medicine and Health Sciences Commons

Open Access. Powered by Scholars. Published by Universities.®

Sports Sciences

Research outputs 2014 to 2021

2019

Epidemiology

Articles 1 - 2 of 2

Full-Text Articles in Medicine and Health Sciences

A 2-Year Prospective Study Of Injury Epidemiology In Elite Australian Rugby Sevens: Exploration Of Incidence Rates, Severity, Injury Type, And Subsequent Injury In Men And Women, Liam A. Toohey, Michael K. Drew, Caroline F. Finch, Jill L. Cook, Lauren V. Fortington May 2019

A 2-Year Prospective Study Of Injury Epidemiology In Elite Australian Rugby Sevens: Exploration Of Incidence Rates, Severity, Injury Type, And Subsequent Injury In Men And Women, Liam A. Toohey, Michael K. Drew, Caroline F. Finch, Jill L. Cook, Lauren V. Fortington

Research outputs 2014 to 2021

Background:

Injuries are common in rugby sevens, but studies to date have been limited to short, noncontinuous periods and reporting of match injuries only.

Purpose:

To report the injury incidence rate (IIR), severity, and burden of injuries sustained by men and women in the Australian rugby sevens program and to provide the first longitudinal investigation of subsequent injury occurrence in rugby sevens looking beyond tournament injuries only.

Study design:

Descriptive epidemiology study.

Methods:

Ninety international rugby sevens players (55 men and 35 women) were prospectively followed over 2 consecutive seasons (2015-2016 and 2016-2017). All medical attention injuries were reported irrespective …


Comparison Of Subsequent Injury Categorisation (Sic) Models And Their Application In A Sporting Population, Liam A. Toohey, Michael K. Drew, Lauren V. Fortington, Miranda J. Menaspa, Caroline F. Finch, Jill L. Cook Jan 2019

Comparison Of Subsequent Injury Categorisation (Sic) Models And Their Application In A Sporting Population, Liam A. Toohey, Michael K. Drew, Lauren V. Fortington, Miranda J. Menaspa, Caroline F. Finch, Jill L. Cook

Research outputs 2014 to 2021

Background: The original subsequent injury categorisation (SIC-1.0) model aimed to classify relationships between chronological injury sequences to provide insight into the complexity and causation of subsequent injury occurrence. An updated model has recently been published. Comparison of the data coded according to the original and revised subsequent injury categorisation (SIC-1.0 and SIC-2.0) models has yet been formally compared.

Methods: Medical attention injury data was prospectively collected for 42 elite water polo players over an 8 month surveillance period. The SIC-1.0 and SIC-2.0 models were retrospectively applied to the injury data. The injury categorisation from the two models was compared using …