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PHYSIOLOGICAL AREA
Medicina dello Sport 2021 June;74(2):197-208
DOI: 10.23736/S0025-7826.21.03580-8
Copyright © 2021 EDIZIONI MINERVA MEDICA
language: English, Italian
Correlation of Functional Movement Screen™ and injury in Chinese fencing elite athletes
Jia ZENG 1, Longfeng ZHOU 1 ✉, Liangyong SUN 1, Jun YIN 1, Kun LIU 1, 2, Shouheng WANG 1
1 Capital University of Physical Education and Sports, Beijing, China; 2 Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
BACKGROUND: Functional movement screen (FMS™) (deep squat [DS], trunk-stability push-up [PU], right and left hurdle step [HS], in-line lunge [ILL], shoulder mobility [SM], active straight leg raise [ASLR], and rotary stability [RS]) has been used to establish normative data and to determine potential injury risk for athletes; however, there are few data in fencing elite athletes.
METHODS: The FMS™ was administered to athletes (N.=164) in Chinese national fencing training camp. Medical record data for overuse injury, traumatic injury, and any injury mainly got before FMS™ assessment. Then, data statistics analysis such as descriptive analysis, correlational analysis and regression analysis is done.
RESULTS: Statistical significance was set at P≤0.05. There were significant correlations between shoulder injury and HS (r=0.173), SM (r=0.345). The PU correlated significantly with both lower back injury (r=0.215) and wrist injury (r=0.156). As for knee injury, it was significantly correlated with RS (r=-0.200). The ankle injury was significantly related to DS (r=0.172).
CONCLUSIONS: Based on this study, we can state that injured athletes and non-injured athlete’s FMS™ score have a significant difference in Chinese fencing elite athletes. But given the relatively low correlation between every movement score and injuries on different parts of the body (r<0.30), FMS™ score alone might be insufficient for predicting injury. So, it is difficult to predict fencing athlete’s injuries accurately.
KEY WORDS: Movement; Athletes; Wounds and injuries; Correlation of data