View clinical trials related to Risk Factors.
Filter by:CrossFit is a modern sport, introduced to the public in 2000 and popular quickly with more than 15,000 affiliates worldwide. Due to the highly demanding nature of the workouts, it is claimed to be a sport with a high prevalence of injuries. Most preliminary retrospective studies had shown that shoulder area is injured most frequently, at about a quarter of all injuries. Therefore, the initial goal of this observational (prospective cohort) study is to learn about the incidence rates of shoulder injuries and potential risk factors in a Greek population of CrossFit participants. Based on these results, this study's ultimate purpose is to create a short warm-up program capable of reducing shoulder injuries and evaluate its effectiveness. The main questions it aims to answer are: - Are shoulder injuries as frequent as previous studies have shown to be? - Can we blame for these injuries a previous history of musculoskeletal injury or deficits of range of motion, strength, and muscular endurance? - Can a short warm up which targets revealed deficiencies be effective in reducing shoulder injuries incidence rates? Participants will be asked to: - take part in baseline measurements (personal data, previous musculoskeletal history, shoulder and core range of motion, shoulder and hip muscle strength, shoulder stabilizers endurance, functional assessment sport-specific tests) - be monitored for new shoulder injuries or aggravation of old shoulder injuries that will occur during 9 months following baseline measurements. In this case, they must refer it to their coaches to be contacted and assessed by the researcher. - follow the warm up which will be created by the researcher 3 times per week for 8 to 10 weeks.
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.
The investigators thought to evaluate risk factors, therapeutic approaches and outcomes after left atrial appendage occluder device embolization (LAAO, either surgical or interventional).
The primary purpose of the proposed study is to validate our previously developed predictive model for adults with obstructive sleep apnea using (i) clinical data from multiple large academic centers, (ii) a longer follow-up period, and (iii) an extended definition of outcomes of interest. The TOH sleep database was created as a part of the project: "Validation of provincial health administrative data algorithms to identify patients with obstructive sleep apnea (OSA): Feasibility project". Protocol ID: 20170591-01H (AMENDMENT APPROVED on December 19, 2018) to be used for future clinical, research, educational and quality improvement purposes.
Chronic pancreatitis (CP) is a disease characterized by inflammation and their replacement by fibrotic tissue. The destruction of pancreatic function and structure are the main complications. This retrospective-prospective, multicenter, cohort study was conducted. This study aimed to observe the natural history of CP in China, analyse the risk factors for CP complications, and establish individual predictions.