Do indicators associated with the internal and external training load and competition serve as injury risk factors for soccer players? A study in Persian Gulf Pro League
Poster Presentation
Paper ID : 1362-SSRC
Authors
1گروه آسیب های ورزشی و بیومکانیک، دانشکده علوم ورزشی و تندرستی ، پردیس البرز دانشگاه تهران
2وزارت علوم
3Faculty of Sports Sciences and Health, University of Tehran
4HEME Research Group, Faculty of Sport Sciences, University of Extremadura
Abstract
Background and aim: Elite soccer players endure significant physical pressures during training and competition to reach their highest performance level. These pressures consist of internal and external loads, each of which can contribute to injuries and decrease the athlete's performance. Therefore, this study aims to investigate the possibility of predicting injuries in elite football players associated with internal and external training loads and competition.
Materials and Method: This study is a prospective, descriptive cohort study. Data related to 41 elite male soccer players, except for goalkeepers, with an age range of 20 to 35 years, who play in one of the professional clubs of the Premier Soccer League of Iran. Data on Internal load data was collected through the perceived pressure scale (RPE) and external load data was collected by data logging through GPS technology during one season. Logistic regression was used to predict the occurrence of injuries using statistical methods.
Results: The results in the final prediction model of injury showed that the variables of maximum speed, total distance, duration, acceleration zone 3, deceleration in zone 1, and work rate intervals could predict injury (p<0.05). However, variables such as average speed, deceleration in zone 3, sprint repeated, sprint maximum acceleration, and RPE cannot predict injury (p>0.05).
Conclusion: Based on the findings of this study, it can be concluded that predicting injuries in football players should not rely on a single factor. Instead, various aspects of injury occurrences should be considered, such as maximum speed, total distance, acceleration increase and decrease, and workload volume during training and competition.
Materials and Method: This study is a prospective, descriptive cohort study. Data related to 41 elite male soccer players, except for goalkeepers, with an age range of 20 to 35 years, who play in one of the professional clubs of the Premier Soccer League of Iran. Data on Internal load data was collected through the perceived pressure scale (RPE) and external load data was collected by data logging through GPS technology during one season. Logistic regression was used to predict the occurrence of injuries using statistical methods.
Results: The results in the final prediction model of injury showed that the variables of maximum speed, total distance, duration, acceleration zone 3, deceleration in zone 1, and work rate intervals could predict injury (p<0.05). However, variables such as average speed, deceleration in zone 3, sprint repeated, sprint maximum acceleration, and RPE cannot predict injury (p>0.05).
Conclusion: Based on the findings of this study, it can be concluded that predicting injuries in football players should not rely on a single factor. Instead, various aspects of injury occurrences should be considered, such as maximum speed, total distance, acceleration increase and decrease, and workload volume during training and competition.
Keywords