Injury Incidence and Its Characteristics in Korean Youth and Collegiate Taekwondo Sparring Athletes: A Retrospective Study

Han, Mi-ock; Lee, Nam-kyung; Jun, Hey Jung

doi:10.3390/ijerph20085528

Cited by 3 publications

(2 citation statements)

References 36 publications

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“…Although kicks are based on similar techniques and biomechanics, and a high incidence of injuries occurs in the lower extremities, epidemiological data in taekwondo have shown that injuries differ in terms of site and type depending on the subdiscipline [ 12 , 14 ]. In addition, previous studies have reported that navicular drop of the dominant leg, knee hyperextension, and excessive ROM of ankle dorsiflexion and plantarflexion are associated with lower extremity injuries in adolescent taekwondo sparring athletes [ 15 , 16 ].…”

Section: Introductionmentioning

confidence: 99%

Comparison of Lower Extremity Alignment among Taekwondo Athletes of Various Subdisciplines

Han,

Chang,

Jun

2024

Medicina

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Background and Objectives: Studies analyzing lower extremity alignment (LEA) LEA among taekwondo subdisciplines athletes are lacking. This study compared LEA in the dominant and nondominant legs intaekwondo athletes. Materials and Methods: Twelve measurements of LEA were analyzed for 157 athletes (63 sparring, 50 demonstration, and 44 poomsae athletes) registered with the Korea Taekwondo Association. LEA was measured in the standing, supine, and prone positions using alignment application, a goniometer, a bubble inclinometer, a height gage, and a palpation meter. Results: The analysis revealed that the dominant leg of poomsae athletes showed greater genu valgum alignment than that of sparring athletes (p < 0.01), whereas the dominant leg of sparring athletes showed greater rearfoot varum alignment than that of demonstration athletes (p < 0.01). Furthermore, the nondominant leg of poomsae athletes showed greater genu valgum alignment than that of sparring and demonstration athletes (p < 0.01), whereas the nondominant leg of sparring athletes showed greater rearfoot varum alignment than that of demonstration athletes (p < 0.01). In addition, demonstration athletes had better forefoot varus alignment than poomsae athletes (p < 0.01). Conclusions: This study revealed that LEA characteristics vary among taekwondo athletes according to their subdiscipline. The results of this study would help in designing training programs tailored to each subdiscipline that would best address their LEA characteristics and help to prevent injuries.

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Section: Introductionmentioning

confidence: 99%

Comparison of Lower Extremity Alignment among Taekwondo Athletes of Various Subdisciplines

Han,

Chang,

Jun

2024

Medicina

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“…Additionally, in study [21], the Taekwondo skeleton sequences were described by the similarity of the angle trajectories of two and two joint sites, and the identification and classification of Taekwondo behaviors was accomplished through the use of a linear support vector machine. In contrast, study [22] advocated the use of a hierarchical recurrent neural network (HRNN) to segment the Taekwondo skeleton into five pieces, which include the torso, arms, and legs. These parts are then merged with a deep learning approach to simulate the interaction between them.…”

Section: Introductionmentioning

confidence: 99%

Deep Learning Techniques for Spatiotemporal Weighted Pose Taekwondo Features and Their Application in Tactical Analysis

Song

2023

J. Comb. Math. Comb. Comput.

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Taekwondo behavior recognition has become a popular study issue in the past few decades due to its vast range of applications in the visual realm. The research of Taekwondo behavior recognition based on skeleton sequences has received increasing attention in recent years due to the widespread use of depth sensors and the development of real-time skeleton estimate methods based on depth images. In order to characterize the behavioral sequences, the majority of research work currently in existence extracts the spatial domain information of various skeleton joints within frames and the temporal domain information of the skeleton joints between frames. However, this research work ignores the fact that different joints and postures play different roles in determining the behavioral categories. Consequently, this paper presents a spatio-temporal weighted gesture Taekwondo features-based approach for Taekwondo recognition that employs a bilinear classifier to iteratively compute the weights of the static gestures and joint points relative to the action category in order to identify the joint points and gestures with high information content; concurrently, this paper introduces dynamic temporal regularization and Fourier time pyramid algorithms for temporal modeling in order to provide a better temporal analysis of the behavioural features, and ultimately employs support vector machines to complete the behavioural classification. According to experimental results on several datasets, this strategy outperforms certain other methods in terms of recognition accuracy and is highly competitive.

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Comparative Analysis on Injury Incidence and Characteristics in Men’s Collegiate Athletes between Combat and Ball Sports

Choi,

Han,

Jun

2024

Exerc Sci

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PURPOSE: To identify the characteristics of injuries among male collegiate athletes in combat and ball sports during the 2021 season and to propose strategies for injury prevention.METHODS: A total of 143 participants (67 combat and 76 ball sports athletes) registered with the Korean Sports & Olympic Committee in 2021 participated in this study. Each athlete responded to a questionnaire based on the injury survey developed by the International Olympic Committee. The questionnaire collected information on four demographic characteristics and three aspects of sports injuries: injury location, type, and cause. The Chi-squared test was used to compare injuries and determine the association between the two types of sports.RESULTS: The practice injuries and athlete exposures (AEs) recorded were 328 and 141,076 in combat sports and 384 and 142,054 in ball sports, respectively. The injury incidence rates (IRs) were 2.14/1,000 AEs (95% confidence interval [CI], 1.89-2.39) and 2.02/1,000 AEs (95% CI, 1.75-2.29) in combat and ball sports, respectively. Furthermore, the most common location, type, and cause of injury associated with both combat and ball sports were the ankles (combat: n=105, 34.8%; ball: n=60, 20.9%), sprain/ligamentous ruptures (combat: n=83, 26.4%; ball: n=96, 28.3%), and overtraining (combat: n=133, 41.7%; ball: n=94, 27.3%), respectively. Combat and ball sports were significantly associated in terms of injury location (Chi-squared =334.771, p<.001), type (Chi-squared=205.099, p<.001), and cause (Chi-squared=40.278, p<.05).CONCLUSIONS: Based on the results of this study, implementing an injury surveillance system is crucial for identifying risk factors and developing strategies to prevent injuries in both combat and ball sports. Additionally, coaches, supervisors, and trainers can incorporate specific exercise programs into their training regimens to strengthen anatomy frequently affected by injuries.

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Injury Incidence and Its Characteristics in Korean Youth and Collegiate Taekwondo Sparring Athletes: A Retrospective Study

Cited by 3 publications

References 36 publications

Comparison of Lower Extremity Alignment among Taekwondo Athletes of Various Subdisciplines

Comparison of Lower Extremity Alignment among Taekwondo Athletes of Various Subdisciplines

Deep Learning Techniques for Spatiotemporal Weighted Pose Taekwondo Features and Their Application in Tactical Analysis

Comparative Analysis on Injury Incidence and Characteristics in Men’s Collegiate Athletes between Combat and Ball Sports

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