Differences and relationship in functional movement screen (FMS™) scores and physical fitness in males and female semi-professional soccer players
Soccer is the world's most popular sport for both men and women. Tests of athletic and functional performance are commonly used to assess physical ability and set performance goals. The Functional Movement Screen (FMS™) is a widely used seven-test battery developed by practitioners to provide i...
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Published in | PeerJ (San Francisco, CA) Vol. 11; p. e16649 |
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Main Authors | , , , , , |
Format | Journal Article |
Language | English |
Published |
United States
PeerJ. Ltd
13.12.2023
PeerJ, Inc PeerJ Inc |
Subjects | |
Online Access | Get full text |
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Summary: | Soccer is the world's most popular sport for both men and women. Tests of athletic and functional performance are commonly used to assess physical ability and set performance goals. The Functional Movement Screen (FMS™) is a widely used seven-test battery developed by practitioners to provide interpretable measure of movement quality. The main objective of the present study was twofold, to analyze the relationship between FMS™ results from male and female soccer players and to compare their physical performance in different tests.
A total of twenty-eight semi-professional soccer players: fourteen male (age: 21.29 ± 1.64 years; weight: 70.66 ± 5.29 kg; height: 171.86 ± 5.35 cm; BMI: 20.90 ± 2.22 kg/m
) and fourteen females (age: 20.64 ± 1.98 years; weight: 63.44 ± 5.83 kg; height: 166.21 ± 12.18 cm; BMI: 23.02 ± 2.50 kg/m
) were recruited for this study. A paired sample
-test was used for determining differences as a repeated measures analysis. All the participants conducted the following tests: The Functional Movement Test (FMS™), 10-m linear sprint, 5-0-5 COD Test and Yo-Yo Intermittent Recovery Test-Level 1 (YYIRT Level 1).
A
-test with data from 505 COD (change of direction) test showed significant differences between groups,
= 0.001,
= 1.11, revealing faster times in male soccer players (2.50 ± 0.19) in respect with female soccer players (2.70 ± 0.17). Crucially, a
-test with data from FMS did not reveal significant differences between groups. Multiple regression for V0
revealed significant effects (
= 0.55,
= 0.30, adjusted
= 0.24,
= 5.21,
= 0.04 and standard error = 2.20). On the other hand, multiple regression for 10-m sprint showed significant effects (
= 0.58,
= 0.33, adjusted
= 0.28,
= 5.98,
= 0.03). The impact of these factors on the correlation between FMS™ scores and physical performance measures can vary among individuals.
This study demonstrates the necessity of utilizing and applying multiple field-based tests to evaluate the movement and capabilities of physical performance in sports. Crucially, consider individual variations and factors such as training background, fitness level, and sport-specific demands when interpreting the relationship between the FMS™ and physical performance in both sexes. |
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Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 |
ISSN: | 2167-8359 2167-8359 |
DOI: | 10.7717/peerj.16649 |