The Use of the Functional Movement Screen™ in Preventing Injuries in Amateur Rugby Players

Rugby is a team contact sport that demands unparalleled physical engagement. This practice, which combines random running patterns with changes in speed and direction, also involves frequent contact situations with other players. These phases of the game account for 48% to 80% of total injuries. Injury prevention is an integral part of the physical therapist's expertise and plays a crucial role in reducing the occurrence of musculoskeletal injuries and mitigating their devastating consequences. The implementation of a risk prevention tool is particularly relevant for a population prone to injuries. However, the practicality of such a tool must be considered, as adherence to an injury prevention program depends on the "perceived usefulness, intensity, and time investment of the program". One tool appears to meet these criteria: the Functional Movement Screen™ (FMS™). This tool is designed to "evaluate an individual's functional movement patterns" and, according to its authors, can serve as "a crucial tool" for returning to sports after an injury or a period of inactivity. Given the high incidence of injuries in rugby players, calculating the injury incidence in this population and correlating it with FMS™ scores could provide valuable insights. For this prospective study, forty amateur rugby players from various clubs in Normandy competing at the Federal 3 level will be recruited using a recruitment letter and a call for volunteers. Each participant will perform two FMS™ (7 movements), at the beginning of the competitive season and at the end of the competitive season. The test will last 30 minutes per player. The initial interview will last 20 minutes. There will also be a follow-up of the players throughout the season to collect all injuries sustained by participants in the intervention. The main expected outcome is a significant correlation (p \< 0.05) between the FMS™ score and injury incidence. This correlation may then indicate a good predictive capacity o