Document Type : Original article
Authors
1
Department of Corrective Exercises and Sport Injuries, School of Physical Education and Sport Sciences, University of Guilan, Rasht, Iran
2
Professor, Department of Physiotherapy ,Faculty of Medicine, Guilan University of Medical Sciences, Iran
3
Associated professor, Department of Sport Rehabilitation and Health, Faculty of Sport Sciences and Health, Shahid Beheshti University, Tehran, Iran
10.22037/sjrm.2023.117169.3184
Abstract
Background and Aim: Pre-participation examination and evaluation is an effective strategy for predicting and preventing injuries of athletes before participating in organized sports. The purpose of this research was to answer the question of whether the functional movement screening test (FMS) can predict the musculoskeletal injuries of club athletes in Iran?
Materials and Methods: The present study is a correlational study in terms of method and a prospective study in terms of data collection method. The subjects of this research were 100 athletic club athletes who had participated in at least three stages of national league competitions in 1401. The screening process of subjects' functional movement was done by seven tests (FMS) and the way of scoring the functional movement screening tests was based on the usual standard scoring from 0 to 3 (0-1-2-3). The prevalence of musculoskeletal injuries was measured by Fuller's 2006 injury registration form, weekly and prospectively for 20 weeks, during the national club league season. Descriptive statistics and chi-square test were used to analyze the data. Also, logistic regression test was used to investigate the relationship between pre- functional movement screening test (FMS) scores and musculoskeletal injuries. SPSS26 software was used at the significance level of 0.05 in all stages to analyze the research data. To check the damage prediction components such as; The sensitivity, specificity and accuracy of the test, as well as the damage cut-off point and estimation of the probability of damage, were used from the system performance curve (ROC) and the area under the curve diagram and its significance level.
Results: The analysis of sports injury prevalence data showed an average of 0.9 injuries per athlete and the standard prevalence rate of injuries equal to 3 injuries per 1000 person-hours. The findings of the research showed that the average test scores of all the subjects were 15.93. 6% of the subjects got the lowest score (13) and none of the subjects got the perfect score (21). The findings also showed; Athletes with lower FMS test scores suffered 3.5 times more injuries than other people. The system performance characteristic curve (ROC) and Youden index showed a score of 16 as the injury cut-off point. At this point, the sensitivity, specificity, and accuracy of the test (FMS) were 78.6%, 75.5%, and 78%, respectively, and the area under the rock curve was 0.839.
Conclusion: Based on the findings of the research, according to the obtained values of high sensitivity, specificity,injury detection accuracy and injure probability rate, as well as the significant amount of the area under the curve - which shows the efficiency of the test - it can be concluded that the scores of the FMS test It can predict the musculoskeletal injuries of club runners of the country and the results of this test can be used to prevent sports injuries.
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