University of Michigan researchers are working closer with athletes and industry partners to develop safer equipment that helps prevent injury. Researchers also are working to identify better methods to evaluate potential for injury or to diagnose injury (e.g., concussion), and more informed approaches to optimally reset the injured for return to activities.
Risk of Running
A team of U-M researchers is analyzing datasets in an effort to shed light on everything from a runner’s biomechanics and medical history to their nutrition regimen and sleep schedule.
Researchers then will partner with the U-M Biosocial Methods Collaborative and Michigan Athletics to develop a multi-level, systems-based model for studying running-related injury complexity in collegiate runners.
The proposed framework will facilitate the development of analytical models that can predict individual risk, as well as identify unique determinants that can and should be corrected to promote resilience.
“The general thread that we’re after here is to get a better understanding of how this complex system of biology, psychology and nutrition all fit together,” said U-M Professor Richard Gonzalez, the principal investigator on the project. “We’re extending the way in which we look at injuries by studying the whole system of the runner, in the context of their entire life.”