Abstract

Background of Study: Females generally have a 6-8 times higher risk for lower extremity injury compared to male counterparts due to biomechanical differences and/or poor landing strategies. In recent years, a great deal of focus has been placed on prevention and reduction of non-contact lower extremity injuries. This has spurred the development of assessment methods to determine how athletes move and tools with which those motions are measured. Efforts have been made to measure and quantify movement strategies, which have given rise to multiple movement tests and measurement devices. One approach is the use of wearable technologies used in conjunction with a movement screening. Objective: Demonstrate a practical approach of using wearable technologies to guide training regimens in a population of female athletes that would be considered at risk for lower extremity injuries. Methods: A cohort of Division I female volleyball athletes were screened using wearable technology then assigned an intervention based on screening results. Comparisons were made between injury rates during the season when the intervention was applied compared to previous seasons. Results: All lower extremity injury rates were reduced after the intervention was applied. Conclusions: The use of wearable technology aids in quantifying movement to then assign a strategic intervention to reduce injuries in an at risk athletic population.

Highlights

  • Non-contact lower extremity injuries have become common in ath letic populations and account for 80% of all injuries (Andernord et al, 2015; K. Ford et al, 2015)

  • The purpose of this paper is to provide an overview of an evidence based practice to evaluate and quantify movement patterns of NCAA Division I female collegiate volleyball players using a dynamic motion assessment tool and prescribe exercise interventions to modify injury predictive movements

  • After the intervention there was a 67% reduction in hip injuries, 37% reduction in knee injuries, a 50% reduction in lower leg injuries, and 67% reduction in thigh injuries as compared to the injury rates from the previous year

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Summary

Introduction

Non-contact lower extremity injuries have become common in ath letic populations and account for 80% of all injuries (Andernord et al, 2015; K. Ford et al, 2015). Ford et al, 2015) Of those ACL reconstructions, 79% develop knee osteoarthritis and 20% sustained a re-injury of the ipsilateral or contralateral side A great deal of focus has been placed on prevention and reduction of non-contact lower extremity injuries This has spurred the development of assessment methods to determine how athletes move and tools with which those motions are measured. Conclusions: The use of wearable technology aids in quantifying movement to assign a strategic intervention to reduce injuries in an at risk athletic population

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