Functional Movement Screen (FMS), physical atributes and injury risk factors in Brazilian Field Hockey National Team
DOI:
https://doi.org/10.11606/issn.1981-4690.2026e40217205Palavras-chave:
Team sports, Hockey, InjuryResumo
Objective: To verify the presence of injury risk factors through the FMS (score and presence of asymmetries) and its relationship with age, practice time, and injury history in field hockey athletes. Methods: Athletes from the Brazilian Men's Field Hockey Team completed two online questionnaires: (i) demographic aspects (age, BMI, body mass, and practice time) and (ii) injury history using the Reported Morbidity Inquiry. FMS data were collected during the pre-season by the Brazilian National Team's technical staff. The score and presence of asymmetries were analyzed. Results: Fifteen athletes were assessed, with 40% having a positive history of injuries. The average FMS score was 16.46 ± 2.09 points, with four athletes (27%) scoring ≤14 points and 34% exhibiting asymmetries in the FMS tests. No significant association was observed between injury history and the presence of asymmetries (p = 0.264) or FMS score (p = 0.070). A shorter practice time was associated with the presence of asymmetries (r = -0.561, p = 0.029), and lower FMS scores were associated with older age (rs = -0.567, p = 0.027) and longer practice time (rs = -0.683, p = 0.005). Conclusion: One-third of the athletes showed asymmetries and FMS scores <14. Asymmetry data and FMS scores were related to age and practice time.
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Referências
1. Fédération Internationale de Hockey [Internet]. Available at: https://www.fih.hockey/.
2. Detanico D, Reis DC, Chagas L, Santos SG. Alterações posturais, desconforto corporal (dor) e lesões em atletas das Seleções Brasileiras de Hóquei sobre a grama. Rev Educ Fis UEM. 2008;19(3):423-30.
3. Murtaugh K. Injury patterns among female field hockey players. Med Sci Sports Exerc. 2001;33(2):201-7.
4. Naicker M, McLean M, Esterhuizen TM, Peters-Futre EM. Poor peak dorsiflexor torque associated with incidence of ankle injury in elite field female hockey players. J Sci Med Sport. 2007;10(6):363-71.
5. Sharma A, Seth M, Koley S. Profile of injuries in Indian elite male field hockey players in relation to playing positions. Medicina Sportiva. 2012;8(2):1839-45.
6. Barboza SD, Joseph C, Nauta J, van Mechelen W, Verhagen E. Injuries in Field Hockey Players: a systematic review. Sports Med. 2018;48(4):849-66. doi:10.1007/s40279-017-0839-3.
7. Theilen TM, Mueller-Eising W, Wefers Bettink P, Rolle U. Injury data of major international field hockey tournaments. Br J Sports Med. 2016;50(11):657-60.
8. Cook G, Burton L, Hoogenboom BJ, Voight M. Functional movement screening: the use of fundamental movements as an assessment of function - part 1. Int J Sports Phys Ther. 2014;9(3):396-409.
9. Cook G, Burton L, Hoogenboom BJ, Voight M. Functional movement screening: the use of fundamental movements as an assessment of function - part 2. Int J Sports Phys Ther. 2014;9(4):549-63.
10. Chorba RS, Chorba DJ, Bouillon LE, Overmyer CA, Landis JA. Use of a functional movement screening tool to determine injury risk in female collegiate athletes. N Am J Sports Phys Ther. 2010;5(2):47-54.
11. Kiesel K, Plisky PJ, Voight ML. Can serious injury in professional football be predicted by a preseason Functional Movement Screen? N Am J Sports Phys Ther. 2007;2(3):147-58.
12. Azzam MG, Throckmorton TW, Smith RA, Graham D, Scholler J, Azar FM. The Functional Movement Screen as a predictor of injury in professional basketball players. Curr Orthop Pract. 2015;26(6):619-23.
13. Tee JC, Klingbiel JFG, Collins R, Lambert MI, Coopoo Y. Preseason Functional Movement Screen component tests predict severe contact injuries in professional rugby union players. J Strength Cond Res. 2016;30(11):3194-203.
14. Slodownik R, Ogonowska-Slodownik A, Morgulec-Adamowicz N. Functional Movement Screen™ and history of injury in the assessment of potential risk of injury among team handball players. J Sports Med Phys Fitness. 2018;58(9):1281-6.
15. Dossa K, Cashman G, Howitt S, West B, Murray N. Can injury in major junior hockey players be predicted by a pre-season functional movement screen - a prospective cohort study. J Can Chiropr Assoc. 2014;58(4):421-7.
16. Rowan CP, Kuropkat C, Gumieniak RJ, Gledhill N, Jamnik VK. Integration of the Functional Movement Screen into the National Hockey League Combine. J Strength Cond Res. 2015;29(5):1163-71.
17. Boguszewski D, Jakubowska K, Adamczyk JG, Ochal A, Białoszewski D. Functional assessment of children practicing ice hockey through Functional Movement Screen test. Phys Act Rev. 2017;5:105-12.
18. Avery M, Wattie N, Holmes M, Dogra S. Seasonal changes in functional fitness and neurocognitive assessments in youth ice-hockey players. J Strength Cond Res. 2018;32(11):3143-52.
19. Moore E, Chalmers S, Milanese S, Fuller JT. Factors influencing the relationship between the Functional Movement Screen and injury risk in sporting populations: a systematic review and meta-analysis. Sports Med. 2019;49(9):1449-63.
20. Nicolozakes CP, Schneider DK, Roewer BD, Borchers JR, Hewett TE. Influence of body composition on Functional Movement Screen™ scores in college football players. J Sport Rehabil. 2018;27(5):431-7.
21. Lehr ME, Cheek W, Dacko S, Stramara T, Miller C, Antensteiner I, et al. Movement patterns and neuromusculoskeletal impairments observed in a female Olympic field hockey team: an observational cohort study. J Bodyw Mov Ther. 2021;26:128-33.
22. Grabara M, Bieniec A. Functional movement patterns, spinal posture and prevalence of musculoskeletal symptoms among elite ice hockey players: a cross-sectional study. J Hum Kinet. 2023;87:59-70.
23. Manaf H, Justine M, Hassan N. Prevalence and pattern of musculoskeletal injuries among Malaysian Hockey League players. Malays Orthop J. 2021;15(1):21-6.
24. Nordstrøm A, Bahr R, Clarsen B, Talsnes O. Prevalence and burden of self-reported health problems in junior male elite ice hockey players: a 44-week prospective cohort study. Am J Sports Med. 2021;49(12):3379-85.
25. Pastre CM, Carvalho Filho G, Monteiro HL, Netto Júnior J, Padovani CR. Lesões desportivas no atletismo: comparação entre informações obtidas em prontuários e inquéritos de morbidade referida. Rev Bras Med Esporte. 2004;10(1):1-8.
26. Karuc J, Mišigoj-Duraković M, Šarlija M, Marković G, Hadžić V, Trošt-Bobić T, et al. Can injuries be predicted by Functional Movement Screen in adolescents? The application of machine learning. J Strength Cond Res. 2021;35(4):910-9.
27. Marques VB, Medeiros TM, Stigger FS, Nakamura FY, Baroni BM. The Functional Movement Screen (FMS™) in elite young soccer players between 14 and 20 years: composite score, individual-test scores and asymmetries. Int J Sports Phys Ther. 2017;12(6):977-85.
28. Fuller CW, Ekstrand J, Junge A, Andersen TE, Bahr R, Dvorak J, et al. Consensus statement on injury definitions and data collection procedures in studies of football (soccer) injuries. Br J Sports Med. 2006;40(3):193-201.
29. Portas MD, Parkin G, Roberts J, Batterham AM. Maturational effect on Functional Movement Screen™ score in adolescent soccer players. J Sci Med Sport. 2016;19(10):854-8
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