پژوهش در طب ورزشی و فناوری

تعیین ثبات درونی آزمون غربالگری عملکرد حرکتی در دانشجویان

نویسندگان

مصطفی زارعی
نازنین دالوندپور
علیرضا حسینی

دانشگاه شهید بهشتی

https://doi.org/10.29252/jsmt.12.1.43
چکیده
آزمون غربالگری عملکرد حرکتی، از آزمون های مورد استفاده برای شناسایی عدم تقارن و محدودیت در حرکات پایه و بنیادی است. برای مدیریت زمان و اجرای سریع برخی از محققان پیشنهاد کرد‌ه‌اند تعداد تست های این آزمون کاهش یابد. هدف از مطالعه حاضر بررسی ثبات و همبستگی درونی بین اجزای این آزمون بود. پژوهش حاضر از نوع همبستگی بود. در این پژوهش آزمون غربالگری حرکتی با استفاده از کیت ویژه FMS روی 165 نفر از دانشجویان دختر و پسر 18 تا 25 سال دانشگاه شهید بهشتی اجرا شد. ثبات درونی آزمون که با روش آلفای کرونباخ اندازه‌گیری و قابل قبول بود. نتایج آزمون رگرسیون چند متغیره نشان داد بین اجزای درونی آزمون با همدیگر همبستگی پایین تا متوسط وجود دارد ولی همبستگی بالایی بین اجزای آزمون و نمره نهایی FMS مشاهده شد. همچنین نتایج همبستگی بالایی بین "چهار حرکت کوچک" (بالا بردن فعال پا، تحرک پذیری شانه، شنای پایداری، پایداری چرخشی) و نمره مجموع FMS و همبستگی جزئی بین "سه حرکت بزرگ" و نمره FMS را نشان داد. به نظر می‌رسد آزمون غربالگری عملکرد حرکتی ابزاری معتبر جهت ارزیابی عملکرد حرکتی است. بنابراین در صورت محدودیت زمانی در جوامع بزرگ همچون دانشجویان می‌توان از "چهار حرکت کوچک" به جای هفت حرکت استفاده کرد.

کلیدواژه‌ها

عوامل خطر
انعطاف پذیری
حرکت
آسیب اندام تحتانی
همبستگی

عنوان مقاله English

Determining the Internal consistency of the Functional Movement Screen test in students

نویسندگان English

Mostafa Zarei
Nazanin Dalvandpour
Alireza Hoseini
Shahid Beheshti University
چکیده English

Functional Movement Screen Test is one of the tests used to identify asymmetries and limitations in basic and fundamental movements. For time management and fast execution of this test, some researchers have suggested reducing the number of tests. The purpose of the present study was to investigate the internal consistency and correlation between components of this test. The present study was a correlational study. In this study, movement screen test was performed on 165 male and female students aged 18 to 25 years of Shahid Beheshti University using a special FMS kit. Results: The internal consistency of the test, measured by Cronbach's alpha method, was acceptable (α=0.71). The results of multivariate regression test showed that there was a low to medium correlation between the internal components of the test, but a high correlation was observed between the test components and the final FMS score. The results also showed a high correlation between the "four small movements" (Active leg raising, shoulder mobility, stability push up and rotary stability) and the total FMS score and a low correlation between the "three big movements" and the FMS score. Motor function screen test is a valid tool for evaluating motor performance. The results also show that in large communities such as students, and if there is a time limit, "four small movements" can be used instead of seven.

کلیدواژه‌ها English

risk factors
Flexibility
Movement
Leg Injuries
Correlation
1. Gharakhanloo, R., (1398). Development of a comprehensive system for monitoring physical activity, physical fitness and mobility of students in the country Volume One: Physical status Report of the research project, Institute of Physical Education and Sports Sciences (Persian).
2. Badau, A., Badau, D., Serban, C., Tarcea, M. and Rus, V., (2018). Wellness integrative profile 10 (WIP10)—an integrative educational tool of nutrition, fitness and health. Journal of Pak. Medical Association, 68, pp.882-887.
3. Bunc, V., (2018). A movement intervention as a tool of the influence of physical fitness and health.
4. Kashuba, V., Andrieieva, O., Goncharova, N., Kyrychenko, V., Karp, I., Lopatskyi, S. and Kolos, M., (2019). Physical activity for prevention and correction of postural abnormalities in young women.
5. Bonney, E., Ferguson, G. and Smits-Engelsman, B.,.(2018) Relationship between body mass index, cardiorespiratory and musculoskeletal fitness among South African adolescent girls. International Journal of Environmental Research and Public Health, 15(6), p.1087.
6. dos Santos Bunn, P., Rodrigues, A.I. and da Silva, E.B., (2019). The association between the functional movement screen outcome and the incidence of musculoskeletal injuries: A systematic review with meta-analysis. Physical Therapy in Sport, 35, pp.146-158.
7. Farhad, R., (1384). Fundamentals and practical application of. (Persian)
8. Padua, D.A., DiStefano, L.J., Beutler, A.I., De La Motte, S.J., DiStefano, M.J. and Marshall, S.W., (2015). The landing error scoring system as a screening tool for an anterior cruciate ligament injury–prevention program in elite-youth soccer athletes. Journal of Athletic Training, 50(6), pp.589-595.
9. Hoog, P., Warren, M., Smith, C.A. and Chimera, N.J., (2016). Functional hop tests and tuck jump assessment scores between female division I collegiate athletes participating in high versus low ACL injury prone sports: a cross sectional analysis. International Journal of Sports Physical Therapy, 11(6), p.945.
10. Gonell, A.C., Romero, J.A.P. and Soler, L.M., (2015). Relationship between the Y balance test scores and soft tissue injury incidence in a soccer team. International journal of sports physical therapy, 10(7), p.955.
11. Cook, G., Burton, L. and Hoogenboom, B., (2006). Pre-participation screening: the use of fundamental movements as an assessment of function-part 1. North American Journal of Sports Physical Therapy: NAJSPT, 1(2), pp.62-72.
12. Garrison, M., Westrick, R., Johnson, M.R. and Benenson, J., (2015). Association between the functional movement screen and injury development in college athletes. International Journal of Sports Physical Therapy, 10(1), p.21.
13. Dorrel, B., Long, T., Shaffer, S. and Myer, G.D., (2018). The functional movement screen as a predictor of injury in national collegiate athletic association division II athletes. Journal of Athletic Training, 53(1), pp.29-34.
14. Minick, K.I., Kiesel, K.B., Burton, L.E.E., Taylor, A., Plisky, P. and Butler, R.J., (2010). Interrater reliability of the functional movement screen. The Journal of Strength & Conditioning Research, 24(2), pp.479-486.
15. Cook, G., (2010). Movement: Functional movement systems: Screening, assessment. Corrective Strategies (1st Ed.). Aptos, CA: On Target Publications, pp.73-106.
16. Peate, W.F., Bates, G., Lunda, K., Francis, S. and Bellamy, K., (2007). Core strength: a new model for injury prediction and prevention. Journal of Occupational Medicine and Toxicology, 2(1), pp.1-9.
17. Beckham, S.G. and Harper, M., (2010). Functional training: fad or here to stay? ACSM's Health & Fitness Journal, 14(6), pp.24-30.
18. Gribble, P.A., Brigle, J., Pietrosimone, B.G., Pfile, K.R. and Webster, K.A., (2013). Intrarater reliability of the functional movement screen. The Journal of Strength & Conditioning Research, 27(4), pp.978-981.
19. Chorba, R.S., Chorba, D.J., Bouillon, L.E., Overmyer, C.A. and Landis, J.A., (2010). Use of a functional movement screening tool to determine injury risk in female collegiate athletes. North American Journal of Sports Physical Therapy: NAJSPT, 5(2), p.47.
20. Kraus, K., Schütz, E., Taylor, W.R. and Doyscher, R., (2014). Efficacy of the functional movement screen: a review. The Journal of Strength & Conditioning Research, 28(12), pp.3571-3584.
21. Kiesel, K., Plisky, P.J. and Voight, M.L., (2007). Can serious injury in professional football be predicted by a preseason functional movement screen? North American Journal of Sports Physical Therapy: NAJSPT, 2(3), p.147.
22. Perry, F.T. and Koehle, M.S., (2013). Normative data for the functional movement screen in middle-aged adults. The Journal of Strength & Conditioning Research, 27(2), pp.458-462.
23. Koehle, M.S., Saffer, B.Y., Sinnen, N.M. and MacInnis, M.J., (2016). Factor structure and internal validity of the functional movement screen in adults. The Journal of Strength & Conditioning Research, 30(2), pp.540-546.
24. Cook, G., Burton, L. and Hoogenboom, B., (2006). Pre-participation screening: the use of fundamental movements as an assessment of function-part 2. North American Journal of Sports Physical Therapy: NAJSPT, 1(3), pp.132-139.
25. Li, Y., Wang, X., Chen, X. and Dai, B., (2015). Exploratory factor analysis of the functional movement screen in elite athletes. Journal of sports sciences, 33(11), pp.1166-1172.
26. Tabachnick, B.G., Fidell, L.S. and Ullman, J.B., (2007). Using multivariate statistics (Vol. 5, pp. 481-498). Boston, MA: Pearson.
27. Kazman, J.B., Galecki, J.M., Lisman, P., Deuster, P.A. and O'Connor, F.G., (2014). Factor structure of the functional movement screen in marine officer candidates. The Journal of Strength & Conditioning Research, 28(3), pp.672-678.
28. Suzuki, K., Akasaka, K., Otsudo, T., Sawada, Y., Hattori, H., Hasebe, Y., Mizoguchi, Y., Hall, T.M. and Yamamoto, M., (2021). Effects of functional movement screen training in high-school baseball players: A randomized controlled clinical trial. Medicine, 100(14).
29. Zarei, M., Asadi, Z., Reisi, J. 1394)) Can motor performance screening tests predict the injuries of Iranian Soldiers? (Persian).
30. Gray Cook, L.B., Hoogenboom, B.J. and Voight, M., (2014). Functional movement screening: the use of fundamental movements as an assessment of function‐part 1. International journal of sports physical therapy, 9(3), p.396.
31. Alkhathami, K., Alshehre, Y., Wang-Price, S. and Brizzolara, K., (2021). Reliability and Validity of the Functional Movement Screen™ with a Modified Scoring System for Young Adults with Low Back Pain. International Journal of Sports Physical Therapy, 16(3), pp.620-627.
32. Rasti, A., (2015). Linear regression, the normal distribution of error values or normal distribution of the dependent variable? Iranian Journal of Medical Education, 15, pp.263-265.
33. Engquist, K.D., Smith, C.A., Chimera, N.J. and Warren, M., (2015). Performance comparison of student-athletes and general college students on the functional movement screen and the Y balance test. The Journal of Strength & Conditioning Research, 29(8), pp.2296-2303.
34. Gnacinski, S.L., Cornell, D.J., Meyer, B.B., Arvinen-Barrow, M. and Earl-Boehm, J.E., (2016). Functional movement screen factorial validity and measurement invariance across sex among collegiate Student-Athletes. The Journal of Strength & Conditioning Research, 30(12), pp.3388-3395.
35. Entezami, M., Majlan, Sh., Ali. Daneshmandi, H., (2020); Comparison of motor performance screening test scores between female athlete and non-athlete students. Quarterly Journal of Sports Biomechanics. 5(4): 240-9. (Persian).
36. Wright, M.D. and Chesterton, P., (2019). Functional Movement ScreenTM total score does not present a gestalt measure of movement quality in youth athletes. Journal of Sports Sciences, 37(12), pp.1393-1402.
37. Schneiders, A.G., Davidsson, Å. Hörman, E. and Sullivan, S.J., (2011). Functional movement screenTM normative values in a young, active population. International journal of sports physical therapy, 6(2), p.75.
38. Arghadeh, R., Letafatkar, A. and Shojaeddin, S.S., (2018). Relationship between physical fitness and functional movement screening scores in active males: Providing preventing model. Journal of Clinical Physiotherapy Research, 1(1), pp.13-20.
39. Chimera, N.J., Knoeller, S., Cooper, R., Kothe, N., Smith, C. and Warren, M., (2017). Prediction of functional movement screen™ performance from lower extremity range of motion and core tests. International Jjournal of Sports Physical Therapy, 12(2), p.173.
40. Bagherian, S., Ghasempoor, K., Rahnama, N. and Wikstrom, E.A., (2019). The effect of core stability training on functional movement patterns in college athletes. Journal of Sport Rehabilitation, 28(5), pp.444-449.
41. Lloyd, R.S., Oliver, J.L., Radnor, J.M., Rhodes, B.C., Faigenbaum, A.D. and Myer, G.D., (2015). Relationships between functional movement screen scores, maturation and physical performance in young soccer players. Journal of Sports Sciences, 33(1), pp.11-19.
42. Bonazza, N.A., Smuin, D., Onks, C.A., Silvis, M.L. and Dhawan, A., (2017). Reliability, validity, and injury predictive value of the functional movement screen: a systematic review and meta-analysis. The American Journal of Sports Medicine, 45(3), pp.725-732.