Comparison of changing in the center of pressure direction during running in athletes with and without a history of ACL surgery
Poster Presentation
Paper ID : 1095-SSRC
Authors
1Department of health and sport rehabilitation, faculty of Sport Science and health, Shahid Beheshti University, Tehran, Iran
2Department of Pathology and Rehabilitation, Faculty of Physical Education and Sport Sciences, Shahid Beheshti University
3Assistant Professor, Department of Pathology and Rehabilitation, Faculty of Physical Education and Sport Sciences, Shahid Beheshti University
4Sport Sciences Research Institute of Iran
Abstract
Introduction: Many studies have explored the effects of kinematic and kinetic factors on the high incidence of anterior cruciate ligament injuries among athletes. However, the variation in the center of pressure direction during running in athletes who have or have not undergone ACL surgery using a force plate treadmill has received little attention.The aim of this study is to examine the changes in the center of pressure direction in the running cycle of athletes with and without a history of ACL surgery using an instrumented treadmill and the possibility of their re-injury.
Research Methodology: 30athletes (15healthy athletes and 15athletes with a history of ACL surgery in the last 5-8 months) participated in the study. Initially, the treadmill (Zebris Medical GmbH,Germany) was calibrated with zero degree slope and then they started running at the desired speed (9 km/h for 1 minute). By tracking the path of the instantaneous center of pressure during stance, the athlete’s balance and pattern of progression were determined. The data analysis was performed by SPSS version 26. Independent t-tests were used to examine possible between group differences at the significance level of 95% (P≤0.05).
result: Results showed that the mean and SD values in the healthy group were 2.26 ± 0.03 and in the ACLR group were 2.13 ± 0.30, and the statistical value of T was 0.99 and the statistical value of p was 0.33 (p>0.05). Therefore, there was no significant difference in the center of pressure direction of the running cycle between athletes with and without a history of ACL injury in 5-8 months after surgery.
conclusion: Based on the findings of this study, we can conclude that changing in the direction of the center of pressure cannot be a good measure to predict and prevent the possibility of ACL re-injury. Due to the limitations of this study, including the lack of similarity in the athlete’s sports field and the use of different grafts in their surgery, it is recommended to use the kernel density estimation method to analyze the curves’ behavior in both groups.
Research Methodology: 30athletes (15healthy athletes and 15athletes with a history of ACL surgery in the last 5-8 months) participated in the study. Initially, the treadmill (Zebris Medical GmbH,Germany) was calibrated with zero degree slope and then they started running at the desired speed (9 km/h for 1 minute). By tracking the path of the instantaneous center of pressure during stance, the athlete’s balance and pattern of progression were determined. The data analysis was performed by SPSS version 26. Independent t-tests were used to examine possible between group differences at the significance level of 95% (P≤0.05).
result: Results showed that the mean and SD values in the healthy group were 2.26 ± 0.03 and in the ACLR group were 2.13 ± 0.30, and the statistical value of T was 0.99 and the statistical value of p was 0.33 (p>0.05). Therefore, there was no significant difference in the center of pressure direction of the running cycle between athletes with and without a history of ACL injury in 5-8 months after surgery.
conclusion: Based on the findings of this study, we can conclude that changing in the direction of the center of pressure cannot be a good measure to predict and prevent the possibility of ACL re-injury. Due to the limitations of this study, including the lack of similarity in the athlete’s sports field and the use of different grafts in their surgery, it is recommended to use the kernel density estimation method to analyze the curves’ behavior in both groups.
Keywords