PDF icon Download PDF
Sportverletz Sportschaden
DOI: 10.1055/a-2623-3475
Original Article

Application of Functional Movement Screening in Table Tennis Players’ Injury Prediction and Evaluation

Einsatz des Functional Movement Screenings zur Risikoprognose und Beurteilung von Verletzungen bei Tischtennisspielern
Shuang Zhou
1   Guangdong Polytechnic Normal University, Guangzhou, CHINA (Ringgold ID: RIN47873)
,
Huan Liu
2   Medical College, Shantou University Medical College, Shantou, CHINA
› Author Affiliations
This work was supported by The “14th Five-Year Plan” Teaching Reform Project of Higher Vocational Education in Zhejiang Province (No.20230084).
› Further Information
Also available ateRef
   Permissions and Reprints
Preview

Abstract

Background

This study focuses on the application of functional movement screening (FMS) in the injury prediction and evaluation of table tennis players. In view of the sports injury risk faced by table tennis players in training and competition, this paper provides scientific injury risk assessment and personalized training suggestions for players through the FMS system.

Methods

The FMS test is based on the basic movement pattern of the body, which evaluates the flexibility, stability, symmetry and overall movement quality of athletes to identify potential sports injury risks. Twelve table tennis players were selected and screened by the FMS test suite, including seven basic action tests and four exclusionary tests.

Results

Through the statistical analysis of the test results, it is found that table tennis players have common defects in specific action patterns, such as insufficient flexibility of shoulder joints and poor trunk stability.

Conclusions

There is a significant correlation between FMS test scores and athletes’ sports injury risk, which further verifies its important role in injury prevention. Based on the research results, this paper puts forward personalized training suggestions for table tennis players, aiming at reducing the risk of sports injury by improving the defects of action patterns.

Zusammenfassung

Hintergrund

Diese Studie untersucht den Einsatz des Functional Movement Screenings (FMS) zur Risikoprognose und Beurteilung von Verletzungen bei Tischtennisspielern. Vor dem Hintergrund des Verletzungsrisikos, dem Tischtennisspieler im Training und Wettkampf ausgesetzt sind, bietet diese Arbeit mithilfe des FMS-Systems eine wissenschaftlich fundierte Einschätzung des Verletzungsrisikos sowie personalisierte Trainingsempfehlungen.

Methoden

Der FMS-Test basiert auf dem grundlegenden Bewegungsmuster des Körpers und bewertet die Flexibilität, Stabilität, Symmetrie und die allgemeine Bewegungsqualität der Sportler mit dem Ziel, potenzielle Sportverletzungsrisiken frühzeitig zu erkennen. Zwölf Tischtennisspieler wurden ausgewählt und mithilfe des FMS-Testverfahrens untersucht, welches 7 grundlegende Bewegungstests und 4 Tests zum Ausschluss spezifischer Einschränkungen beinhaltet.

Ergebnisse

Die statistische Auswertung der Testergebnisse zeigte, dass Tischtennisspieler häufig Defizite in bestimmten Bewegungsmustern aufweisen, z.B. eine unzureichende Schultergelenkflexibilität und eine geringe Rumpfstabilität.

Schlussfolgerungen

Es besteht eine signifikante Korrelation zwischen den FMS-Testergebnissen und dem Verletzungsrisiko von Sportlern, was die Relevanz des Tests für die Verletzungsprävention bestätigt. Auf Grundlage der Studienergebnisse werden individualisierte Trainingsempfehlungen für Tischtennisspieler ausgesprochen, die darauf abzielen, das Sportverletzungsrisiko durch eine Verbesserung fehlerhafter Bewegungsmuster zu reduzieren.

Keywords

functional movement screening - damage prediction - damage evaluation - athlete

Schlüsselwörter

Functional Movement Screening - Verletzungsrisikoprognose - Verletzungsbeurteilung - Sportler


Publication History

Received: 07 February 2025

Accepted after revision: 15 May 2025

Article published online:
14 July 2025

© 2025. Thieme. All rights reserved.

Georg Thieme Verlag KG
Oswald-Hesse-Straße 50, 70469 Stuttgart, Germany

 

  • References

  • 1 Zhang Y, Breedlove J. Sustaining market competitiveness of table tennis in China through the application of digital technology. Sport in Society 2021; 24 (10) 1770-1790
    PubMedSearch in Google Scholar
  • 2 Hertting K, Holmquist M, Parker J. et al. Ping pong health!: A table tennis intervention for improved health at the workplace. In The Science and Practice of Racket Sports for Improved Performance and Health, Halmstad University, Halmstad, Sweden. Halmstad University 2018; 4: 22-23
    PubMedSearch in Google Scholar
  • 3 Anderson M, Barnum M. Foundations of athletic training: Prevention, assessment, and management. Lippincott Williams & Wilkins. 2021
    PubMedSearch in Google Scholar
  • 4 Bonazza NA, Smuin D, Onks CA. et al. Reliability, validity, and injury predictive value of the functional movement screen: a systematic review and meta-analysis. The American journal of sports medicine 2017; 45 (03) 725-732
    CrossrefPubMedSearch in Google Scholar
  • 5 Li X. Biomechanical analysis of different footwork foot movements in table tennis. Computational Intelligence and Neuroscience 2022; 2022 (01) 9684535
    CrossrefPubMedSearch in Google Scholar
  • 6 Ferrauti A, Ulbricht A, Fernandez-Fernandez J. Assessment of Physical. Tennis Medicine: A Complete Guide to Evaluation, Treatment, and Rehabilitation. 2019; 167.
    PubMed
  • 7 Lu LX, Zou JZ, Guo YC. et al. Knee joint injury prediction based on multimodal fusion. Journal of Computer Engineering & Applications 2021; 57 (09) XXX
    PubMedSearch in Google Scholar
  • 8 Farrell SW, Pavlovic A, Barlow CE. et al. Functional movement screening performance and association with key health markers in older adults. The Journal of Strength & Conditioning Research 2021; 35 (11) 3021-3027
    PubMedSearch in Google Scholar
  • 9 Jafari M, Zolaktaf V, Ghasemi G. Functional movement screen composite scores in firefighters: effects of corrective exercise training. Journal of Sport Rehabilitation 2020; 29 (01) 102-106
    CrossrefPubMedSearch in Google Scholar
  • 10 Grigorev PA, Semenova GI. Functional movement screening as a means to reduce injuries in fitness 2020.
    PubMed
  • 11 Liu H, Ding H, Xuan J. et al. The functional movement screen predicts sports injuries in Chinese college students at different levels of physical activity and sports performance. . Heliyon 2023; 9 (06) e16454
    PubMedSearch in Google Scholar
  • 12 Bahr R, Clarsen B. International Olympic Committee Injury and Illness Epidemiology Consensus Group. et al. International Olympic Committee consensus statement: methods for recording and reporting of epidemiological data on injury and illness in sports 2020 (including the STROBE extension for sports injury and illness surveillance (STROBE-SIIS)). Orthopaedic journal of sports medicine 2020; 8 (02) 2325967120902908
    PubMedSearch in Google Scholar
  • 13 Ortiz-Padilla VE, Ramírez-Moreno MA, Presbítero-Espinosa G. et al. Survey on Video-Based Biomechanics and Biometry Tools for Fracture and Injury Assessment in Sports. Applied Sciences 2022; 12 (08) 3981
    PubMedSearch in Google Scholar
  • 14 Chen X. Development significance and structure analysis of sports video image analysis system based on VR. In Journal of Physics: Conference Series 2021; 1982 (01) 012125
    PubMedSearch in Google Scholar
  • 15 Tenforde AS, Fredericson M. Bone Stress Injuries: Diagnosis, Treatment, and Prevention. Springer Publishing Company 2021.
    PubMed
  • 16 Cheung KK, Dhawan RT, Wilson LF. et al. Pars interarticularis injury in elite athletes–the role of imaging in diagnosis and management. European journal of radiology 2018; 108: 28-42
    CrossrefPubMedSearch in Google Scholar
  • 17 Ferreira DM, Luiz JMM, Cabrera LGG. et al. Radiological assessment of sports injuries. In Specific sports-related injuries. In: . Cham: Springer International Publishing; 2022: 09-537
    Search in Google Scholar
  • 18 Kriegova E, Kudelka M, Radvansky M. et al. A theoretical model of health management using data-driven decision-making: the future of precision medicine and health. Journal of translational medicine 2021; 19: 1-12
    CrossrefPubMedSearch in Google Scholar
  • 19 Van Eetvelde H, Mendonça LD, Ley C. et al. Machine learning methods in sport injury prediction and prevention: a systematic review. Journal of experimental orthopaedics 2021; 8: 1-15
    CrossrefPubMedSearch in Google Scholar
  • 20 Kraus K, Schütz E, Taylor WR. et al. Efficacy of the functional movement screen: a review. The Journal of Strength & Conditioning Research 2014; 28 (12) 3571-3584
    CrossrefPubMedSearch in Google Scholar
  • 21 Lv T, Fu T. Physical training guided by functional movement screen in the rehabilitation of sports injuries. Revista Brasileira de Medicina do Esporte 2022; 28: 557-560
    PubMedSearch in Google Scholar
  • 22 Łyp M, Rosiński M, Chmielewski J. et al. Effectiveness of the Functional Movement Screen for assessment of injury risk occurrence in football players. Biology of sport 2022; 39 (04) 889-894
    CrossrefPubMedSearch in Google Scholar
  • 23 Pan J. Evaluation on the Level of Functional Movement Screen (FMS) and Functional Training VIS-À-VIS Sprint Performance of College Track and Field Athletes. Journal of Education and Educational Research 2024; 8 (02) 380-389
    PubMedSearch in Google Scholar
  • 24 Everard EM. A critical analysis of two popular field-based movement screens (Doctoral dissertation, University of Limerick) 2019.
    PubMed
  • 25 Cao H, You K. Application of Functional Movement Screening in the Evaluation of Sports Ability and the Prediction of Sports Injury Risk. Investigación Clínica 2020; 61 (01) 203-211
    PubMedSearch in Google Scholar