Relationships between Functional Movement Screening Score and Anthropometric Characteristics in Adolescence Volleyball Players of Iran National Team
محورهای موضوعی : Exercise Physiology and PerformanceAli Fatahi 1 , Mohammad Soltani 2 , Razieh Yousefian Molla 3 , Mitra Ameli 4 , Mojtaba Ebrahimi Varnakehi 5
1 - Department of Sports Biomechanics, Central Tehran Branch, Islamic Azad University, Tehran, Iran.
2 - Department of Sports Biomechanics, Central Tehran Branch, Islamic Azad University, Tehran, Iran.
3 - Department of Physical Education and Sport Sciences, Faculty of Physical Education and Sport Sciences, Islamic Azad University of Karaj, Karaj, Iran.
4 - Department of physical Education and Sports Science, Payam-E-Noor University, Tehran, Iran.
5 - University of Tehran, CEO of Vatan Scientific Sport Cooperation, Tehran, Iran.
کلید واژه: FMS, Anthropometric, Volleyball Players,
چکیده مقاله :
Background: Investigating and understanding the relationship and correlation between functional movement screening (FMS) and anthropometric characteristics play a significant role in predicting and preventing injury. This study investigated the relationship between FMS and anthropometric characteristics in the Iranian national team's teenage volleyball players.Methods: 22 elite youth volleyball players who were members of the national adolescent volleyball team of the Islamic Republic of Iran participated in this research. Also, two demographic characteristics and FMS were examined. The Pearson correlation test was used to investigate the relationship between the demographic variables and the FMS score.Result: There was a significant positive relationship between "in-line lunge with upper limb balance, shoulder mobility with active straight leg raise, fat mass index with fat ratio to SM, Body Mass Index (BMI), Total Body Fat (TBF%), Visceral Fat Index (VFI), fat-free mass with fat-free mass index. Bone Mineral Content (BMC), Basal Metabolic Ratio (BMR), the ratio of fat to SM with TBF% and VFI" and “weight with BMI, BMC, and BMR, and BMI with VFI, BMR, and Upper Limb Balance" and "TBF% with VFI" and "BMC with BMR" and "TBW% with SM%" and "body balance with TBW%, SM%, and Upper Limb Balance”. Conclusion: Based on the analysis of the obtained results, it can be suggested that FMS test results and anthropometric indices can be useful in the initial assessment and prediction of people's susceptibility to functional-motor injuries. Also, athletes' functional movement patterns and body composition are different according to their sport and position. Therefore, it is necessary to pay attention to the positive points of the athlete's performance in his specialized sports field and functional movement disorders in young people, which may help to reduce injuries and improve sports performance.
Background: Investigating and understanding the relationship and correlation between functional movement screening (FMS) and anthropometric characteristics play a significant role in predicting and preventing injury. This study investigated the relationship between FMS and anthropometric characteristics in the Iranian national team's teenage volleyball players.Methods: 22 elite youth volleyball players who were members of the national adolescent volleyball team of the Islamic Republic of Iran participated in this research. Also, two demographic characteristics and FMS were examined. The Pearson correlation test was used to investigate the relationship between the demographic variables and the FMS score.Result: There was a significant positive relationship between "in-line lunge with upper limb balance, shoulder mobility with active straight leg raise, fat mass index with fat ratio to SM, Body Mass Index (BMI), Total Body Fat (TBF%), Visceral Fat Index (VFI), fat-free mass with fat-free mass index. Bone Mineral Content (BMC), Basal Metabolic Ratio (BMR), the ratio of fat to SM with TBF% and VFI" and “weight with BMI, BMC, and BMR, and BMI with VFI, BMR, and Upper Limb Balance" and "TBF% with VFI" and "BMC with BMR" and "TBW% with SM%" and "body balance with TBW%, SM%, and Upper Limb Balance”. Conclusion: Based on the analysis of the obtained results, it can be suggested that FMS test results and anthropometric indices can be useful in the initial assessment and prediction of people's susceptibility to functional-motor injuries. Also, athletes' functional movement patterns and body composition are different according to their sport and position. Therefore, it is necessary to pay attention to the positive points of the athlete's performance in his specialized sports field and functional movement disorders in young people, which may help to reduce injuries and improve sports performance.
1-Tang Y, Chen Z, Lin X. Characteristics and Rehabilitation Training Effects of Shoulder Joint Dysfunction in Volleyball Players under the Background of Artificial Intelligence. Comput Intell Neurosci. 2022;2022:4512795. DOI: 10.1155/2022/4512795
2-Bayios IA, Bergeles NK, Apostolidis NG, Noutsos KS, Koskolou MD. Anthropometric, body composition and somatotype differences of Greek elite female basketball, volleyball and handball players. J Sports Med Phys Fitness. 2006;46(2):271-80.
3-Fattahi A, Ameli M, Sadeghi H, Mahmoodi B. Relationship between anthropometric parameters with vertical jump in male elite volleyball players due to game's position. Journal of human sport and Exercise. 2012;7(3):714-26. DOI:10.4100/jhse.2012.73.11
4-Parm AL, Saar M, Pärna K, Jürimäe J, Maasalu K, Neissaar I, et al. Relationships between anthropometric, body composition and bone mineral parameters in 7-8-year-old rhythmic gymnasts compared with controls. Coll Antropol. 2011;35(3):739-45.
5-Agata K, Monyeki MA. Association Between Sport Participation, Body Composition, Physical Fitness, and Social Correlates Among Adolescents: The PAHL Study. Int J Environ Res Public Health. 2018;15(12). DOI: 10.3390/ijerph15122793
6-Fatahi A, Panjehzadeh B, Koreli Z. Comparison of Parametric Indices of Anthropometric and Biomechanical Characteristics of Female Basketball Players, Volleyball Players and Handball Players. iauh-biomech. 2021;7(1):14-29. DOI:10.32598/biomechanics.7.1.1
7-Moseid CH, Myklebust G, Fagerland MW, Bahr R. The association between early specialization and performance level with injury and illness risk in youth elite athletes. Scand J Med Sci Sports. 2019;29(3):460-8. DOI: 10.1111/sms.13338
8-Linek P, Saulicz E, Myśliwiec A, Wójtowicz M, Wolny T. The Effect of Specific Sling Exercises on the Functional Movement Screen Score in Adolescent Volleyball Players: A Preliminary Study. J Hum Kinet. 2016;54:83-90. DOI: 10.1515/hukin-2016-0037
9-Kiesel K, Plisky P, Butler R. Functional movement test scores improve following a standardized off-season intervention program in professional football players. Scand J Med Sci Sports. 2011;21(2):287-92. DOI: 10.1111/j.1600-0838.2009.01038.x
10-Cook G, Burton L, Hoogenboom B. Pre-participation screening: the use of fundamental movements as an assessment of function - part 1. N Am J Sports Phys Ther. 2006;1(2):62-72.
11-Cook G, Burton L, Hoogenboom B. Pre-participation screening: the use of fundamental movements as an assessment of function - part 2. N Am J Sports Phys Ther. 2006;1(3):132-9.
12-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.
13-Bonazza NA, Smuin D, Onks CA, Silvis ML, Dhawan A. Reliability, Validity, and Injury Predictive Value of the Functional Movement Screen: A Systematic Review and Meta-analysis. Am J Sports Med. 2017;45(3):725-32. DOI: 10.1177/0363546516641937
14-Chang WD, Chou LW, Chang NJ, Chen S. Comparison of Functional Movement Screen, Star Excursion Balance Test, and Physical Fitness in Junior Athletes with Different Sports Injury Risk. Biomed Res Int. 2020;2020:8690540. DOI: 10.1155/2020/8690540
15-Whittaker JL, Booysen N, de la Motte S, Dennett L, Lewis CL, Wilson D, et al. Predicting sport and occupational lower extremity injury risk through movement quality screening: a systematic review. Br J Sports Med. 2017;51(7):580-5. DOI: 10.1136/bjsports-2016-096760
16-Shepherd JA, Ng BK, Sommer MJ, Heymsfield SB. Body composition by DXA. Bone. 2017;104:101-5. DOI: 10.1016/j.bone.2017.06.010
17-Kuriyan R. Body composition techniques. Indian J Med Res. 2018;148(5):648-58. DOI: 10.4103/ijmr.IJMR_1777_18
18-Teyhen DS, Shaffer SW, Lorenson CL, Halfpap JP, Donofry DF, Walker MJ, et al. The Functional Movement Screen: a reliability study. J Orthop Sports Phys Ther. 2012;42(6):530-40. DOI: 10.2519/jospt.2012.3838
19-Campa F, Piras A, Raffi M, Toselli S. Functional Movement Patterns and Body Composition of High-Level Volleyball, Soccer, and Rugby Players. J Sport Rehabil. 2019;28(7):740-5. DOI: 10.1123/jsr.2018-0087
20-Bertrandt J, Szarska E, Łakomy R, Lepionka T, Anyżewska A, Lorenz K, et al. An Attempt to Utilize the Body Composition Analyzer and the Functional Movement Screen (FMS) Test to Determine Injury Risk in Soldiers. Mil Med. 2020;185(7-8):e1128-e33. DOI: 10.1093/milmed/usz476
