Active clinical trials for "Athletic Injuries"

Primary Objective: To explore changes in shear wave elastography (SWE) and microvascular flow imaging (MFI) measurements from time of injury through the recovery phase of lower extremity musculoskeletal injuries to determine if a correlation exists with functional impairment. Secondary Objective: To develop a deep learning AI system for automated region of interest (ROI) determination for measurement of average SWE and MFI. Methodology: Eligible subjects with lower extremity injuries will undergo SWE and MFI measurements and complete the Lower Extremity Functional Scale questionnaire at each study visit. Clinical data related to the evaluation of the injury acquired during standard medical care of the injury will be collected from the patients' medical record such as CT or MRI scans, X-rays, physical exams and tests as well as laboratory measurements. Subjects will undergo serial SWE and MFI imaging throughout their rehabilitation episode of care to assess changes over time, status in rehabilitation and comparison to the contralateral extremity.

Participants will complete a functional MRI to evaluate brain activation, functional connectivity, and behavioral performance immediately before and after a training program (approximately 30 minutes). The training program will comprise of integrate neuromuscular (agility, dynamic postural stability, shuffling, rapid acceleration/deceleration, plyometrics, lateral shuffle, and core stability) and cognitive (reaction time, processing speed, task switching, decision-making, and working memory) challenges.

This project will utilize a quasi-experimental, multiple baseline pretest-posttest design where participants will complete postural stability assessments, physical performance assessments, and questionnaires to evaluate perceptions toward injury prevention before and after completing a 6-week neuromuscular-cognitive prevention program.

This is an observational study that assess the baseball pitchers' fatigue status. The purpose of this study is to find the pitching mechanic change and the fatigue point to provide guidance for coaches to schedule training items . It is expected that earlier detect the pitchers' fatigue point could be able to prevent overuse injury caused by compensatory actions.

Competitive sport increases risk for musculoskeletal injury (e.g., traumatic knee injury) and may position former athletes for early onset of chronic diseases, chronic pain, poor health-related quality of life, and disability. Quantifying function in former athletes with and without a prior injury and non-athlete controls is critical to understanding long-term health trajectories in athletes and informing potential interventional studies. One modifiable factor that may be associated with long-term health in athletes is physical activity patterns. The purpose of this study is to evaluate strength, function, physical activity, dietary patterns, and cardiometabolic health among current and former competitive athletes and in nonathlete controls to evaluate the impact of prior knee injury and sedentary behavior as two potential determinants of later poor health and reduced function.

Athletes commonly face skin injuries during training and competition, which can negatively impact their performance and physical health. Injuries such as abrasions, cuts, burns, and sunburns can limit muscle contractions and range of motion, cause discomfort, and lead to bacterial infections. In addition, skin damage can lead to long-term skin problems such as skin aging and cancer, affecting athletes' overall health and performance. Protecting the skin is crucial for athletes to maintain optimal performance and physical health. The use of steroids is limited for athletes due to their status as banned substances. Topical steroids may also cause negative side effects, making it necessary to find alternative skin care options for athletes such as tug-of-war athletes. This study aims to evaluate the effectiveness of a topical hydrating cream for skin care in this population. The study involved using a moisturizing cream on the more severely affected side of one hand while the other hand acted as a comparative control group. After two weeks, the sides were switched, and the study continued for four weeks in total.

All the data of patients with patellar dislocation will be collected to evaluate the anatomic deformities. The data includes X-ray, CT, MRI examinations, medical records, and physical examination information. Finally, we correlate the anatomic deformities with clinical efficacy. To search for the risk factors that lead to patellar dislocation and influence the therapeutic effect.

The aim of the study is to determine the efficacy of an Amniotic Fluid Tissue Product for pain relief and functional improvements for all types of musculoskeletal conditions. The study is prospective, with outcome measures being obtained at numerous time points after the regenerative procedure.

Primary goal of the research is to determine whether injury/illness occurrence is influenced by the academic, training and competition loads, as well as the overall load (sum of academic/work, training and competition loads) in elite handball athletes To examine whether subjective measures of perceived overall stress correlate with objectively measured levels of stress. Determine the benefits of certain biomarkers to monitor stress, load and injury/illness occurrence in athletes.

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.