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Visual, Vestibular, and Somatosensory Function in Female Rugby League Athletes
Riley Brassington1, Jocelyn Mara1, Nick Ball1
1Research Institute of Sport and Exercise, Department of Sport and Exercise Science, Faculty of Health, University of Canberra, Bruce, ACT 2617, Australia.
Sports (Basel, Switzerland)
|July 27, 2026
Summary
Sensory and autonomic function in female rugby league players showed minimal differences between elite and sub-elite levels. These factors may be more valuable for tracking athlete progress over time rather than assessing current playing level.
Area of Science:
- Sports Science
- Human Physiology
- Biomechanics
Background:
- Female rugby league performance relies on integrated sensory and physiological systems.
- Understanding variations in these systems across playing levels and positions is crucial but currently unclear.
Purpose of the Study:
- To investigate differences in visual, vestibular, somatosensory, and autonomic performance in female rugby league athletes.
- To compare these functions between elite and sub-elite players and across different positional groups (adjustables, backs, forwards).
Main Methods:
- Utilized the Active Movement Extent Discrimination Assessment for lower-limb proprioception.
- Employed a virtual reality eye-tracking system for visual-vestibular and autonomic assessments.
- Applied Bayesian hierarchical models to analyze playing level, position, and their interaction effects.
Main Results:
- Few consistent differences were found between elite and sub-elite athletes across sensory and autonomic measures.
- Some level-by-position effects were suggested for ankle proprioception, vestibulo-oculomotor function, and autonomic dilation velocity, but lacked consistency.
- Significant within-group variability was observed across all assessments.
Conclusions:
- Sensory and autonomic performance do not reliably distinguish between elite and sub-elite female rugby league players in a cross-sectional manner.
- These measures hold potential for longitudinal monitoring of athletes when combined with workload, recovery, and performance data.
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