Journals / Annals of Medical Research / 2020 / Cilt: 27 - Sayı: 7

Gender differences between the three dimensional gait analysis data of young athletes

Pages
1949–1955
Publication Date
2022-10-12
DOI
—
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

We suggest that normal data and biomechanical factors will be clearer as the gait analysis results of the athletes increase.

📌 3 Key Takeaways

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Objective & Hypothesis:Aim: There are differences in skeletal structures between genders.
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Key Findings & Data:The secondary purpose was to form a representative gait sample of Turkish athletes.Material and Methods: A total of 51 athletes; 29 females, 22 males (5-18 years, mean age: 11.7) who did not have any disease thatmight lead to gait pathology were included in the study.
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Conclusion & Impact:We suggest that normal data and biomechanical factors will be clearer as the gait analysis results of the athletes increase.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Domain Parameters

Abstract

Aim: There are differences in skeletal structures between genders. These differences also have an impact on the gait patterns ofindividuals. The primary purpose of this study was to examine the differences between two genders with regard to gait parametersof young Turkish athletes. The secondary purpose was to form a representative gait sample of Turkish athletes.Material and Methods: A total of 51 athletes; 29 females, 22 males (5-18 years, mean age: 11.7) who did not have any disease thatmight lead to gait pathology were included in the study. Three-dimensional gait analysis was performed on all participants withViconBonita System (Oxford Metrics Ltd., Oxford, England). Temporo-spatial, kinematic, and kinetic variables were compared amongthe groups.Results: Regarding the time-distance parameters; step distance (p=0.001) and stride length (p=0.002) were found to be greaterin girls than in boys. The kinematic analysis showed that the maximum hip extension during the stance phase (H2, p=0.03) wasgreater in boys compared to the extension during the stance phase of the girls. The maximum hip flexion during the swing phase(H3, p=0.02), maximum hip adduction (H4, p=0.01) and maximum ankle plantar flexion (A3, p=0.04) were found to be higher in girlsthan in boys.Conclusion: The gait analysis data had signifiant gender differences. Sport technology and biomechanics have been advancingrapidly. We suggest that normal data and biomechanical factors will be clearer as the gait analysis results of the athletes increase.

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Cite This Article

ÖZTAŞ, D., BAYHAN, İ. A., AYDIN, C. G., HEKİM, H. H., ÜÇPINAR, H. (2022). Gender differences between the three dimensional gait analysis data of young athletes. Annals of Medical Research, Cilt: 27 - Sayı: 7, 1949–1955. https://ajindex.com/articles/446220

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