Prediction of Functional Movement Screen Scores in Men Firefighters by the Performance in Deep Squat Test

Introduction: Functional movement screen (FMS), a seven-test battery, has been introduced to identify individuals at risk of injury. It is sometimes impossible to use the whole FMS battery, due to the limitations of time or resources. In this study, we studied how much it was valid to use deep squat (DS) test as an alternative for FMS.Materials and Methods: Target population included all ۵۲۴ firefighters operating in Isfahan City, Iran. They accomplished DS and FMS tests. The cut-point of DS was determined using receiver operating characteristic (ROC) curve, and its predictive accuracy was determined via logistic regression analysis (LRA).Results: ROC curve revealed that based on the best DS cut-point, the value of sensitivity (true positive) was ۰.۹۲, and the value of "۱ - specificity" (false positive) was ۰.۵۵. LRA showed that, compared to holders of ۲ and ۳ DS scores, holders of ۰ and ۱ scores were nine times more likely to obtain score less than ۱۴ in FMS.Conclusion: Findings of this study supports the alteration of FMS by DS in case of limitation of time and resources, especially when examining big populations. Due to false positive rate of ۰.۵۵ for subjects scoring ۱۴ or less in FMS, it is still necessary to execute the FMS for them for accurate verification. Such an approach will save about ۳۰ to ۴۰ percent of time and resources.

Keywords:

Mobility limitation , Injury , Prediction , Risk Assessment