View clinical trials related to Sport Injury.
Filter by:The aim of this comparative study is to determine whether or not LOSARTAN with its anti-fibrotic action has an added effect when administrated with platelet rich plasma injection on skeletal muscle healing and on decreasing the fibrous scar after muscle injuries in comparison with the sole administration of platelet rich plasma.
The purpose of this study is to determine the value of including dynamic vision testing into California State University, Northridge (CSUN) Athletics' established concussion protocol. The study's hypotheses are 1) dynamic vision testing will reveal vision impairments right after a person sustains a concussion, 2) these impairments may still be present upon clearance to return to play.
The goal of this clinical trail is to determine the effects of eccentric hamstring training, in prevention of hamstring injuries in sports involving sprinting among club level athletes. The main question it aims to answer is : - Will eccentric exercises have an effect in the recovery of hamstring injuries and injury prevention in sprint performance sports among club-level athletes. Participants will be divided into two groups. Control group will perform conventional training program and interventional group will perform eccentric exercises.
Objective: This study aimed to investigate the effects of regular exercising on scapular muscle endurance and shoulder pain in young individuals. Methods: Participants' clinical and sociodemographic properties recorded, scapular muscle endurance assessed with Scapular Muscular Endurance (SME) test, and shoulder pain severity questioned using the Visual Analogue Scale.
To determine the effect of the eccentric exercise training on injury prevention and hamstring strength in football players.
The primary objective of the pilot study is to assess the feasibility of a definitive trial to determine the effect of arthroscopic soft tissue stabilization vs. non-operative management on the risk of recurrent anterior dislocation rates and functional outcomes following in patients presenting with a first-time dislocation (FTD) over a 24-month period.
To find out the prevalence of side strain in fast bowlers and determine the effectiveness of core strength training in treating side strain
Sports injuries are a very important issue for baseball players. Previous studies have found that the incidence of sports injuries faced by baseball players is continuously increasing. Sports injury rates in professional baseball, high school baseball, and college baseball players were as high as 3.6, 4.6, and 5.8 per 1,000 players, respectively. The main cause of many pitching injuries is attributed to a large number of repetitive pitches. To avoid sports injuries, it is necessary to know how to assess the risk of injury caused by repetitive pitching. Throwing is a fairly complex action that requires the coordination of the entire body. It is critical to investigate the biomechanical changes of players in order to effectively analyze such complex movements.
The large number of studies in the recent decade dealing with knee injury prevention seems not effective enough to cause a decline in knee injury rates. Thus, it has been proposed to use non-linear mathematical models that simulate the operation of complex and dynamic systems. The present study aims to analyze the dynamic relationships of the risk factors for knee injuries through system dynamics modeling to effectively predict and prevent knee injury. The first part of this project includes a qualitative study informing the theoretical non-linear interrelationships among the risk factors. The aim is to examine the initial hypothetical model formulated in the first part of the project through statistical analysis such as factor analysis and structural equation modeling. Pre-season and in-season data from questionnaires and biomechanical measurements for risk factors will be collected from at least 100 athletes who participate in high-risk sports. The athletes will be monitored for injuries during one season, and these data will be used in the next part of the research plan. The next part of the project aims to develop a dynamic simulation model for predicting knee injuries using specific equations. The function of the simulation model will predict the propensity of knee injuries over time. The next step includes the validation and calibration of the model based on the knee injuries that occurred during the season. The validated and calibrated model will then provide implications for effective policy decisions in knee injury prevention.
Despite the extensive research on prevention and prediction strategies, hamstrings strains injury (HSI) persists at a high rate in team sports and specifically in football. An initial injury increases the risk for re-injury and affects performance, whereas the financial cost for athletes and teams is crucial due to the time needed for appropriate rehabilitation. For that reason, it is critical to formulate better strategies in order to predict and prevent HSI. This study aims to develop a system dynamics (SD) model to evaluate HSI risk. First, a literature review will be carried out on the current approaches and identification of intrinsic and extrinsic risk factors of hamstrings strain injuries. Second, co-creation workshops based on the method of Group Modeling Building (GMB) will be applied to develop the SD for the HSI model. This co-creation process will involve stakeholders such as sports physiotherapists, doctors, and sports scientists. After creating the SD for HSI model, a one-year prospective cohort study will be performed to validate the model with real data and evaluate the ability of the model to predict HSIs. Sports teams will be invited to take part in the validation of the model. Multiple biomechanical parameters and other personal characteristics will be collected. Then, athletes will be monitored for the occurrence of injury and their exposure to injury risk during training and games. The factors' non-linear interaction will be assessed with the statistical method of structural equation modeling and factor analysis. In this way, the factors' interactions extracted for the qualitative phase of the study (group modeling building process) will be quantitatively evaluated. Validating the model with real data will provide a computer simulation platform to test plausible strategies for preventing hamstrings strain injuries prior to implementation and optimize intervention programs.