year 9, Issue 4 (Winter 2021)
Ann Appl Sport Sci 2021, 9(4): 0-0 |
Back to browse issues page
Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:
EDİS Ç. Which Postural Control and Functional Movement Screen Values Related to Change of Direction Runs?. Ann Appl Sport Sci 2021; 9 (4)
URL: http://aassjournal.com/article-1-989-en.html
URL: http://aassjournal.com/article-1-989-en.html
Trabzon University, School of Sports Science, Trabzon, TURKEY , caglaredis@trabzon.edu.tr
Abstract: (2745 Views)
Background. Instead of different measurements of physical performances such as postural control, strength, and flexibility, studies investigating many abilities such as the harmony between these abilities and body segments simultaneously with the test FMS results and different physical relationships were performed. Meaningful results and other relationships between COD, FMS, and PC have previously been reported.
Objectives. To examine the relationships between soccer players' static, dynamic postural control (PC) and Functional movement screen (FMS) scores and 3 different change of direction (COD) running.
Methods. Seventeen male soccer players aged 18-30 and playing soccer in the regional amateur league participated in the study. PC measurements were performed as static and dynamic (dynamic measurements at 40-30-20 difficulty levels). The Deep Squat (Ds), hurdle step (Hs), in-line lunges (I-LL), trunk stability (Ts), and rotary stability (Rs) tests were used in the FMS measurements, and T-Running, Illinois running, and 505-running measurements were used in the COD measurements of the athletes. The significance levels between the data were accepted as P ≤ 0.05, and correlation analysis was used for statistical analysis.
Results. Significant relationships were found between PC and FMS scores (P ≤ 0.05). However, the relationships between PC and COD skills have controversial results. Among the FMS scores, significant relationships were found between Hs-left and T-run (r = -0.049), I-LL-left and Illinois-run (r = -0.053), while no statistically significant correlations were found between other FMS scores and COD.
Conclusion. According to the results of this research; while athletes with good PC scores had higher FMS scores, complex movement tests Hs and I-LL scores obtained from FMS measurements revealed that the athletes had results on their COD performance.
Objectives. To examine the relationships between soccer players' static, dynamic postural control (PC) and Functional movement screen (FMS) scores and 3 different change of direction (COD) running.
Methods. Seventeen male soccer players aged 18-30 and playing soccer in the regional amateur league participated in the study. PC measurements were performed as static and dynamic (dynamic measurements at 40-30-20 difficulty levels). The Deep Squat (Ds), hurdle step (Hs), in-line lunges (I-LL), trunk stability (Ts), and rotary stability (Rs) tests were used in the FMS measurements, and T-Running, Illinois running, and 505-running measurements were used in the COD measurements of the athletes. The significance levels between the data were accepted as P ≤ 0.05, and correlation analysis was used for statistical analysis.
Results. Significant relationships were found between PC and FMS scores (P ≤ 0.05). However, the relationships between PC and COD skills have controversial results. Among the FMS scores, significant relationships were found between Hs-left and T-run (r = -0.049), I-LL-left and Illinois-run (r = -0.053), while no statistically significant correlations were found between other FMS scores and COD.
Conclusion. According to the results of this research; while athletes with good PC scores had higher FMS scores, complex movement tests Hs and I-LL scores obtained from FMS measurements revealed that the athletes had results on their COD performance.
Full-Text [PDF 245 kb]
(1197 Downloads)
APPLICABLE REMARKS
APPLICABLE REMARKS
• For the COD performances of the athletes to emerge at a higher level, the basic movement profiles should be brought to the appropriate level.
• The result that athletes' COD performances are related to more complex abilities (which measure strength, balance, and mobility at the same time) reveals that not only on skill but also on features such as balance and strength, balance and explosive strength should be used at the same time.
• The fact that the in-line lunge movement, which is a more complex movement pattern, is associated with COD, reveals the result of the athletes applying strength and balance training suitable for the running type.
• The balance characteristics of the athletes should be developed following the movement patterns of the COD performances.
• The result that athletes' COD performances are related to more complex abilities (which measure strength, balance, and mobility at the same time) reveals that not only on skill but also on features such as balance and strength, balance and explosive strength should be used at the same time.
• The fact that the in-line lunge movement, which is a more complex movement pattern, is associated with COD, reveals the result of the athletes applying strength and balance training suitable for the running type.
• The balance characteristics of the athletes should be developed following the movement patterns of the COD performances.
Type of Study: Original Article |
Subject:
Kinesiology and Sport Injuries
Received: 2021/03/10 | Accepted: 2021/05/17
Received: 2021/03/10 | Accepted: 2021/05/17
References
1. Little T, Williams AG. Specificity of acceleration, maximum speed, and agility in professional soccer players. J Strength Cond Res. 2005;19(1):76-78.
https://doi.org/10.1519/14253.1 [DOI:10.1519/00124278-200502000-00013] [PMID]
2. Bangsbo J. Time and motion characteristics of competition soccer. Sci Football. 1992;6:34-40.
3. Reilly T, Williams AM, Nevill A, Franks A. A multidisciplinary approach to talent identification in soccer. J Sports Sci. 2000;18(9):695-702. [DOI:10.1080/02640410050120078] [PMID]
4. Lloyd RS, Oliver JL, Radnor JM, Rhodes BC, Faigenbaum AD, Myer GD. Relationships between functional movement screen scores, maturation and physical performance in young soccer players. J Sports Sci. 2015;33(1):11-9. [DOI:10.1080/02640414.2014.918642] [PMID]
5. Cometti G, Maffiuletti NA, Pousson M, Chatard JC, Maffulli N. Isokinetic strength and anaerobic power of elite, subelite and amateur French soccer players. Int J Sports Med. 2001;22(1):45-51. [DOI:10.1055/s-2001-11331] [PMID]
6. Sheppard JM, Young WB. Agility literature review: classifications, training and testing. J Sports Sci. 2006;24(9):919-932. [DOI:10.1080/02640410500457109] [PMID]
7. Lockie R, Schultz A, Callaghan S, Jordan C, Luczo T, Jeffriess M. A preliminary investigation into the relationship between functional movement screen scores and athletic physical performance in female team sport athletes. Biol Sport. 2015;32(1):41-51. [DOI:10.5604/20831862.1127281] [PMID] [PMCID]
8. Gambetta V. How to develop sport-specific speed. Sport Coach. 1996;19:22-24.
9. Sporis G, Jukic I, Milanovic L, Vucetic V. Reliability and factorial validity of agility tests for soccer players. J Strength Cond Res. 2010;24(3):679-686. [DOI:10.1519/JSC.0b013e3181c4d324] [PMID]
10. Marković G, Sekulić D, Marković M. Is agility related to strength qualities?-Analysis in latent space. Collegium Antropologicum. 2007;31(3):787-793.
11. Lockie RG, Schultz AB, Jeffriess MD, Callaghan SJ. The relationship between bilateral differences of knee flexor and extensor isokinetic strength and multi-directional speed. Isokinetic Exercise Sci. 2012;20(3):211-219. [DOI:10.3233/IES-2012-0461]
12. Hewett et al, Myer et al. 2009; Witvrouw, Lysens, Bellemans, Cambier, & Vanderstraeten, 2000 in Relationships between functional movement screen scores, maturation and physical performance in young soccer players2005.
13. Atalay ES, Tarakci D, Algun C. Are the functional movement analysis scores of handball players related to athletic parameters? J Exerc Rehabil. 2018;14(6):954-959. [DOI:10.12965/jer.1836372.186] [PMID] [PMCID]
14. Hartigan EH, Lawrence M, Bisson BM, Torgerson E, Knight RC. Relationship of the functional movement screen in-line lunge to power, speed, and balance measures. Sports Health. 2014;6(3):197-202. [DOI:10.1177/1941738114522412] [PMID] [PMCID]
15. Lee S, Kim H, Kim J. The Functional Movement Screen total score and physical performance in elite male collegiate soccer players. J Exerc Rehabil. 2019;15(5):657-662. [DOI:10.12965/jer.1938422.211] [PMID] [PMCID]
16. Okada T, Huxel KC, Nesser TW. Relationship between core stability, functional movement, and performance. J Strength Cond Res. 2011;25(1):252-261. [DOI:10.1519/JSC.0b013e3181b22b3e] [PMID]
17. Parchmann CJ, McBride JM. Relationship between functional movement screen and athletic performance. J Strength Cond Res. 2011;25(12):3378-3384. [DOI:10.1519/JSC.0b013e318238e916] [PMID]
18. Daneshjoo A, Mokhtar AH, Rahnama N, Yusof A. The effects of injury preventive warm-up programs on knee strength ratio in young male professional soccer players. PLoS One. 2012;7(12):e50979. [DOI:10.1371/journal.pone.0050979] [PMID] [PMCID]
19. 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 Sport Physic Therap. 2014;9(3):396.
20. Šimek S, Milanović D, Jukić I. The effects of proprioceptive training on jumping and agility performance. Kineziologija. 2008;39(2):131-141.
21. Mirkov D, Nedeljkovic A, Kukolj M, Ugarkovic D, Jaric S. Evaluation of the reliability of soccer-specific field tests. J Strength Cond Res. 2008;22(4):1046-1050. [DOI:10.1519/JSC.0b013e31816eb4af] [PMID]
22. Raya MA, Gailey RS, Gaunaurd IA, Jayne DM, Campbell SM, Gagne E, et al. Comparison of three agility tests with male servicemembers: Edgren Side Step Test, T-Test, and Illinois Agility Test. J Rehabil Res Dev. 2013;50(7):951-960. [DOI:10.1682/JRRD.2012.05.0096] [PMID]
23. Zou L. Relationship between functional movement screening and skill-related fitness in college students. Age, 20, 2-062016.
24. 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 Sport Physic Therap. 2014;9(4):549.
25. Zalai D, Bobak P, Csáki I, Hamar P, Myrer JW, Mitchell UH, et al. Motor skills, anthropometrical characteristics and functional movement in elite young soccer players. J Exercise Sport Orthoped. 2015;2(1):1-7. [DOI:10.15226/2374-6904/2/1/00120]
26. Fisher J, Wallin M. Unilateral versus bilateral lower-body resistance and plyometric training for change of direction speed. J Athl Enhanc. 2014;6:2. [DOI:10.4172/2324-9080.1000174]
27. Wright MD, Chesterton P. Functional Movement Screen(TM) total score does not present a gestalt measure of movement quality in youth athletes. J Sports Sci. 2019;37(12):1393-1402. [DOI:10.1080/02640414.2018.1559980] [PMID]
28. Sekulic D, Spasic M, Mirkov D, Cavar M, Sattler T. Gender-specific influences of balance, speed, and power on agility performance. J Strength Cond Res. 2013;27(3):802-811. [DOI:10.1519/JSC.0b013e31825c2cb0] [PMID]
29. Hammami R, Granacher U, Pizzolato F, Chaouachi M, Chtara M. Associations between Change of Direction, Balance, Speed, and Muscle Power in Prepubescent Soccer Players. J Athl Enhanc. 2017;6(6):2. [DOI:10.4172/2324-9080.1000279]
Send email to the article author
| Rights and permissions | |
 |
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License. |
