پیش بینی ورزشکاران در معرض خطر آسیب براساس دو عامل سابقه آسیب و امتیاز آزمون غربالگری حرکات عملکردی

محورهای موضوعی : علوم ورزش

نجمه افهمی ¹ (استادیارگروه تربیت بدنی و علوم ورزشی، دانشگاه صنعتی سیرجان، سیرجان،کرمان، ایران)
رضا سیامکی ² (استادیارگروه آسیب شناشی ورزشی و حرکات اصلاحی،موسسه آموزش عالی اسرار مشهد، مشهد، ایران.)
نجمه صادقی ³ (استادیار، گروه علوم پایه، دانشکده علوم پزشکی سیرجان، سیرجان ایران.)

تاریخ دریافت : 1398/01/31 تاریخ پذیرش : 1399/03/31 تاریخ انتشار : 1400/06/01

کلید واژه: عوامل خطر, سابقه آسیب, غربالگری حرکتی عملکردی, ورزشکاران حرفه ای,

چکیده مقاله :

هدف: اختلال الگوهای حرکتی منجر به آسیب ورزشکاران می شود؛ اگرچه می تواند منتج از سابقه آسیب ورزشکار و عدم بازتوانی مناسب نیز باشد. هدف تحقیق حاضر پیش بینی ورزشکاران در معرض خطر آسیب براساس سابقه آسیب و امتیاز آزمون غربالگری حرکات عملکردی (FMS) است. روش ها: این مطالعه تحلیلی-مقطعی می باشد. آزمودنی های تحقیق 27 ورزشکار زن لیگ برتر کشور (15 بازیکن هندبال و 12 بازیکن فوتسال) بودند. ابتدا فرم رضایت نامه و اطلاعات فردی توسط آزمودنی ها تکمیل شد، سپس سابقه آسیب ورزشکاران با توجه به فرم سابقه آسیب استاندارد ثبت و آزمون FMS اجرا شد. در ادامه، آسیب های ورزشکاران در حین تمرین و مسابقه به مدت 6 ماه ثبت شد. از نرم افزار آماری SPSS و آزمون های کاپا، تی مستقل، فیشر اگزکت و رگرسیون لجستیک در سطح معنی داری 05/0 جهت تجزیه و تحلیل داده ها استفاده شد. یافته ها: نتایج تحقیق نشان داد سابقه آسیب ورزشی به طور قابل توجهی می تواند امتیاز آزمون FMS را پیش بینی کند (05/0>P). ورزشکاران با سابقه آسیب در معرض خطر بالاتری برای آسیب دیدگی هستند (05/0>P). ورزشکاران دارای سابقه آسیب که امتیاز آزمون FMS آن ها کمتر از 17 است، 4 برابر بیشتر از ورزشکاران با امتیاز بالای 17 در معرض آسیب دیدگی قرار دارند. نتیجه گیری: مربیان، مددیاران ورزشی، فیزیوتراپ ها و بازتوانان ورزشی می توانند هم راستا با سایر بررسی های پیش از فصل، با در نظر گرفتن سابقه آسیب و امتیاز آزمون FMS، مدل پیشگیری از آسیب دقیق و موثرتری فراهم کنند.

چکیده انگلیسی:

Movement patterns disorders can lead to injury, although can result from athletes'' injuries and the absence of proper rehabilitation. Studies on risk factors are necessary to prevent sports injuries. The present study aimed to predict predisposed athletes according to injury history and functional movement screen test (FMS). Twenty-seven professional female athletes (15 handball and 12 futsal athletes aged 20.67±4.35 and 21/58±3/05 years old respectively) participated in this cross-sectional study. At first, the consent form and personal information were completed by the subjects, and their injury history was recorded according to the standard injury history form, and then they participated in the FMS test. Subsequently, athletes'' injuries were recorded during training and competition for a period of 6 months. Data were analyzed by Kappa, t-test, Fisher exact test, and Regression logistic with SPSS and alpha level set at α=0.05. The results of the study showed that the history of injury can significantly predict FMS test scores (P

منابع و مأخذ:

• Angoorani H, Haratian Z, Mazaherinezhad A, Younespour SH. (2014). Injuries in Iran Futsal National Teams: A Comparative Study of Incidence and Characteristics, Asian Journal of Sports Medicine, 5, e23070.


• Arnason A, Sigurdsson SB, Gudmundsson A, Holme I, Engebretsen L, et al.(2004). Risk factors for injuries in football, American Journal of Sports Medicine, 32, 5–16.


• Bahr R, Engebretsen L. (2009). Sport injury prevention: Oxford, UK: Wiley-Blackwell.


• Brennan P, Silman A. (1992). Statistical methods for assessing observer variability in clinical measures, British Medical Journal, 304, 1491-1494.


• Clark M, Lucett S. (2011). Nasm Essentials of Corrective Exercise Training. London: Baltimore: Lippincott Williams & Wilkins.


• Cook G, Burton L, Hoogenboom BJ, Voight M.(2014). Functional movement screening: the use of fundamental movements as an assessment of function-part 2, International Journal of Sports Physical Therapy, 9, 549-563.


• Emery CA, Meeuwisse WH, Hartmann SE. (2005). Evaluation of risk factors for injury in adolescent soccer: implementation and validation of an injury surveillance system, American Journal of Sports Medicine, 33, 1882-1891.


• Faude O, Meyer T, Federspiel, B, Kindermann W. (2009). Injuries in elite German football—a media-based analysis, German Journal of Sports Medicine, 60, 139–144.


• Giroto N, Hespanhol Junior LC, Gomes MRC, Lopes AD. (2017). Incidence and risk factors of injuries in Brazilian elite handball players: A prospective cohort study, Scandinavian Journal of Medicine & Science in Sports, 27,195-202.


• Hagglund M, Walden M, Ekstrand J. (2006). Previous injury as a risk factor for injury in elite football: a prospective study over two consecutive seasons, British Journal of Sports Medicine, 40, 767-772.


• Hewett TE, Myer GD, Ford KR, Heidt RS, Colosimo AJ, et al.(2005). Biomechanical measures of neuromuscular control and valgus loading of the knee predict anterior cruciate ligament injury risk in female athletes: A prospective study, American Journal of Sports Medicine, 33, 492–501.


• Hoover D, Killian CB, Bourcier B, Shannon L, Jenny T, Willis R. (2008). Predictive validity of the Functional Movement Screeni in a population of recreational runners training for a half marathon, Medicine & Science in Sports & Exercise, 40, S219.


• Khyri F. (2009). The prevalence of sport injuries among elite male and female athletes in some of the individual-group, and noncontact-contact sport fields and compare the prevalence of injuries inside and outside the country (dissertation), MSc Thesis, Azad University of Tehran. [Persian]


• Kiesel K, Plisky P, Butler R. (2011). Functional movement test scores improve following a standardized off-season intervention program in professional football players, Scandinavian Journal of Medicine & Science in Sports, 21, 287-292.


• Kraus K, Schutz E, Taylor WR, Doyscher R. (2014). Efficacy of the functional movement screen: a review, Journal of Strength & Conditioning Research, 28, 3571-3584.


• Matthew B. (2011). The ability of the functional movement screen in predicting injury rates in division I female athletes, MSc Thesis, University of Toledo.


• Minthorn LM, Fayson SD, Stobierski LM, Welch Bacon CE, Anderson (2015). The Functional Movement screen’s ability to detect changes in movement patterns after a training intervention, Journal of Sport Rehabilitation, 24, 322–326.


• O'connor FG, Deuster PA, Davis J, Pappas CG, Knapik JJ. (2011). Functional movement screening: predicting injuries in officer candidates, Medicine & Science in Sports & Exercise, 43, 2224-2230.


• Rita S, David J, Lucinda E, Corey A, James A. (2010). Use of a functional movement screening tool to determine injury risk in female collegiate athletes, North American Journal of Sports Physical Therapy, 5, 47-54.


• Schmikli SL, Backx FJ, Kemler HJ, Van Mechelen W.(2009). National survey on sports injuries in the Netherlands: target populations for sports injury prevention programmes, Clinical Journal of Sport Medicine, 19, 101–106.


• Shojaedin SS, Hadadnezhad M. (2013). Relationship between Functional Movement Screen (FMS) score and the history of injury and identify the predictive value of the FMS, International Journal of Rehabilitation Research, 9, 459-69. [Persian]


• Shultz R, Scott C, Gordon O, Marcello B, Besier T. (2013). Test-Retest and Interrater Reliability of the Functional Movement Screen, Journal of Athletic Training, 48, 331-336.


• Sorenson EA. (2009). Functional movement screen as a predictor of injury in high school basketball athletes (dissertation), MSc Thesis, University of Oregon.


• Teyhen DS, Shaffer SW, Lorenson CL, Halfpap JP, Donofry DF, et al. (2012). The functional movement screen: A reliability study,Journal of orthopaedic and sports physical therapy, 42, 530–540.


• Zangane P. (2010). The study of the causes and mechanisms of injury in elite and non-elite Karate athletes of Iran and comparison that with foreign karate athletes (dissertation), Azad University of Tehran, [Persian]


• Zarei M, Asady Samani Z, Reisi J.(2015). Can Functional Movement Screening Predict Injuries in Iranian Soldiers? Journal of Military Medicine, 17, 107-114. [Persian]

 

 

 

 

 

 

 

 

 

 

References

• Angoorani H, Haratian Z, Mazaherinezhad A, Younespour SH. (2014). Injuries in Iran Futsal National Teams: A Comparative Study of Incidence and Characteristics, Asian Journal of Sports Medicine, 5, e23070.


• Arnason A, Sigurdsson SB, Gudmundsson A, Holme I, Engebretsen L, et al. (2004). Risk factors for injuries in football, American Journal of Sports Medicine, 32, 5–16.


• Bahr R, Engebretsen L. (2009). Sport injury prevention: Oxford, UK: Wiley-Blackwell.


• Brennan P, Silman A. (1992). Statistical methods for assessing observer variability in clinical measures, British Medical Journal, 304, 1491-1494.


• Clark M, Lucett S. (2011). Nasm Essentials of Corrective Exercise Training. London: Baltimore: Lippincott Williams & Wilkins.


• Cook G, Burton L, Hoogenboom BJ, Voight M.(2014). Functional movement screening: the use of fundamental movements as an assessment of function-part 2, International Journal of Sports Physical Therapy, 9, 549-563.


• Emery CA, Meeuwisse WH, Hartmann SE. (2005). Evaluation of risk factors for injury in adolescent soccer: implementation and validation of an injury surveillance system, American Journal of Sports Medicine, 33, 1882-1891.


• Faude O, Meyer T, Federspiel, B, Kindermann W. (2009). Injuries in elite German football—a media-based analysis, German Journal of Sports Medicine, 60, 139–144.


• Giroto N, Hespanhol Junior LC, Gomes MRC, Lopes AD. (2017). Incidence and risk factors of injuries in Brazilian elite handball players: A prospective cohort study, Scandinavian Journal of Medicine & Science in Sports, 27,195-202.


• Hagglund M, Walden M, Ekstrand J. (2006). Previous injury as a risk factor for injury in elite football: a prospective study over two consecutive seasons, British Journal of Sports Medicine, 40, 767-772.


• Hewett TE, Myer GD, Ford KR, Heidt RS, Colosimo AJ, et al.(2005). Biomechanical measures of neuromuscular control and valgus loading of the knee predict anterior cruciate ligament injury risk in female athletes: A prospective study, American Journal of Sports Medicine, 33, 492–501.


• Hoover D, Killian CB, Bourcier B, Shannon L, Jenny T, Willis R. (2008). Predictive validity of the Functional Movement Screeni in a population of recreational runners training for a half marathon, Medicine & Science in Sports & Exercise, 40, S219.


• Khyri F. (2009). The prevalence of sport injuries among elite male and female athletes in some of the individual-group, and noncontact-contact sport fields and compare the prevalence of injuries inside and outside the country (dissertation), MSc Thesis, Azad University of Tehran. [Persian]


• Kiesel K, Plisky P, Butler R. (2011). Functional movement test scores improve following a standardized off-season intervention program in professional football players, Scandinavian Journal of Medicine & Science in Sports, 21, 287-292.


• Kraus K, Schutz E, Taylor WR, Doyscher R. (2014). Efficacy of the functional movement screen: a review, Journal of Strength & Conditioning Research, 28, 3571-3584.


• Matthew B. (2011). The ability of the functional movement screen in predicting injury rates in division I female athletes, MSc Thesis, University of Toledo.


• Minthorn LM, Fayson SD, Stobierski LM, Welch Bacon CE, Anderson (2015). The Functional Movement screen’s ability to detect changes in movement patterns after a training intervention, Journal of Sport Rehabilitation, 24, 322–326.


• O'connor FG, Deuster PA, Davis J, Pappas CG, Knapik JJ. (2011). Functional movement screening: predicting injuries in officer candidates, Medicine & Science in Sports & Exercise, 43, 2224-2230.


• Rita S, David J, Lucinda E, Corey A, James A. (2010). Use of a functional movement screening tool to determine injury risk in female collegiate athletes, North American Journal of Sports Physical Therapy, 5, 47-54.


• Schmikli SL, Backx FJ, Kemler HJ, Van Mechelen W.(2009). National survey on sports injuries in the Netherlands: target populations for sports injury prevention programmes, Clinical Journal of Sport Medicine, 19, 101–106.


• Shojaedin SS, Hadadnezhad M. (2013). Relationship between Functional Movement Screen (FMS) score and the history of injury and identify the predictive value of the FMS, International Journal of Rehabilitation Research, 9, 459-69. [Persian]


• Shultz R, Scott C, Gordon O, Marcello B, Besier T. (2013). Test-Retest and Interrater Reliability of the Functional Movement Screen, Journal of Athletic Training, 48, 331-336.


• Sorenson EA. (2009). Functional movement screen as a predictor of injury in high school basketball athletes (dissertation), MSc Thesis, University of Oregon.


• Teyhen DS, Shaffer SW, Lorenson CL, Halfpap JP, Donofry DF, et al. (2012). The functional movement screen: A reliability study,Journal of orthopaedic and sports physical therapy, 42, 530–540.


• Zangane P. (2010). The study of the causes and mechanisms of injury in elite and non-elite Karate athletes of Iran and comparison that with foreign karate athletes (dissertation), Azad University of Tehran, [Persian]


• Zarei M, Asady Samani Z, Reisi J.(2015). Can Functional Movement Screening Predict Injuries in Iranian Soldiers? Journal of Military Medicine, 17, 107-114. [Persian]