New Athlete Performance Model Helps Predict and Prevent Future Injuries

Researchers at Queensland University of Technology (QUT) have developed an innovative tool designed to assess the risk of athletes sustaining further injuries upon returning to sport after an initial injury. This advanced model leverages data collected from wearable sensors that monitor athletes' movement patterns during training and games. By combining this movement data with information about previous injuries and contextual factors, the system provides a quantifiable injury risk score.

The study, titled "Next Generation Models for Subsequent Sports Injuries," was published in 5 Applied Stochastic Models in Business and Industry5. It was created by Associate Professor Paul Wu, Distinguished Professor Kerrie Mengersen, Yu Yi Yu from the QUT School of Mathematical Sciences and Center for Data Science, working with a multidisciplinary team including performance health experts from the Australian Institute of Sport and statisticians from UNSW.

This tool aims to assist coaches, medical personnel, and athletes by identifying early warning signs of injury risk, potentially avoiding costly and repetitive injuries while maintaining peak performance. It considers variables such as age, injury history, severity of past injuries, and activity context, with the capacity to monitor changing injury susceptibility throughout a season.

Using data from an AFL club, the model accurately predicted injury occurrences 77% of the time with 90% specificity. Key indicators influencing injury risk include age, recent injury severity, game versus training activities, exertion levels, and running speed. The system also allows for simulation of different scenarios, such as adjusting training loads to manage injury risk more effectively, particularly useful in scenarios where athletes are recovering and returning to play.

As wearable sensor technology becomes more widespread, such predictive models are expected to become vital tools in injury prevention. The goal is to empower those involved in athletic performance with insights that help optimize training and competition while minimizing injury risks, ultimately supporting athletes' health and longevity.

Source: medicalxpress.com