ObjectiveWe performed a systematic review and meta-analysis of epidemiological data of injuries in professional male football.MethodForty-four studies have reported the incidence of injuries in football. Two reviewers independently extracted data and assessed trial quality using the Strengthening the Reporting of Observational Studies in Epidemiology statement and Newcastle Ottawa Scale. Studies were combined in a pooled analysis using a Poisson random effects regression model.ResultsThe overall incidence of injuries in professional male football players was 8.1 injuries/1000 hours of exposure. Match injury incidence (36 injuries/1000 hours of exposure) was almost 10 times higher than training injury incidence rate (3.7 injuries/1000 hours of exposure). Lower extremity injuries had the highest incidence rates (6.8 injuries/1000 hours of exposure). The most common types of injuries were muscle/tendon (4.6 injuries/1000 hours of exposure), which were frequently associated with traumatic incidents. Minor injuries (1–3 days of time loss) were the most common. The incidence rate of injuries in the top 5 European professional leagues was not different to that of the professional leagues in other countries (6.8 vs 7.6 injuries/1000 hours of exposure, respectively).ConclusionsProfessional male football players have a substantial risk of sustaining injuries, especially during matches.

Purpose: This systematic review aimed to analyze the impact that the COVID-19 lockdown had on the amount of physical activity performed by university students.Materials and Methods: A systematic electronic search for studies providing information regarding physical activity levels pre and during COVID-19 pandemic in university students was performed up to 20th October 2020 in the databases Cochrane Library, PubMed, SPORTDiscus, and Web of Science. The risk of bias of external validity quality of included studies was assessed by means of those the Newcastle-Ottawa Scale (NOS). The quality of the evidence for main outcomes was graded using the Grading of Recommendations Assessment, Development and Evaluation (GRADE) approach.Results and Conclusions: A total of 10 studies were selected. Physical activity levels were assessed by means of questionnaires (10 studies) and accelerometer (1 study). Risk of bias was regarded as low and high in six and four investigations, respectively. The quality of evidence was downgraded to low. A significant reduction of physical activity levels were observed in 9 studies. Compared to pre-lockdown values, five studies showed a reduction of light/mild physical activity (walking) between 32.5 and 365.5%, while seven studies revealed a reduction of high/vigorous physical activity between 2.9 and 52.8%. Walking, moderate, vigorous, and total physical activity levels have been reduced during the COVID-19 pandemic confinements in university students of different countries. Despite of the reductions, those who met the current minimum PA recommendations before the lockdown generally met the recommendations also during the confinements.

Hamstring strain injury (HSI) is one of the most prevalent and severe injury in professional soccer. The purpose was to analyze and compare the predictive ability of a range of machine learning techniques to select the best performing injury risk factor model to identify professional soccer players at high risk of HSIs. A total of 96 male professional soccer players underwent a pre-season screening evaluation that included a large number of individual, psychological and neuromuscular measurements. Injury surveillance was prospectively employed to capture all the HSI occurring in the 2013/2014 season. There were 18 HSIs. Injury distribution was 55.6% dominant leg and 44.4% non-dominant leg. The model generated by the SmooteBoostM1 technique with a cost-sensitive ADTree as the base classifier reported the best evaluation criteria (area under the receiver operating characteristic curve score=0.837, true positive rate=77.8%, true negative rate=83.8%) and hence was considered the best for predicting HSI. The prediction model showed moderate to high accuracy for identifying professional soccer players at risk of HSI during pre-season screenings. Therefore, the model developed might help coaches, physical trainers and medical practitioners in the decision-making process for injury prevention.

Background: Football is the most popular sport among women; however, little is known about the injury profile in this population. This information would help design tailored injury risk mitigation strategies that may make football safer for women.Objective: The aim of this study was to perform a systematic review and meta-analysis of epidemiological data of injuries in women´s football.Methods: A systematic review following PRISMA guidelines was performed up to January 2020 in PubMed, Web of Science, Sport discus and the Cochrane Library databases. Twenty-one studies reporting the incidence of injuries in women football were analysed. Two reviewers independently extracted data (intraclass correlation coefficient [ICC] for inter-reviewer reliability = 0.87) and assessed study quality using the STROBE statement, GRADE approach, Newcastle Ottawa Scale and Downs and Black assessment tools. Studies were combined in pooled analyses (injury incidence and injury proportion) using a Poisson random effects regression model. Results:The overall incidence of injuries in female football players was 6.1 injuries/1000 hours of exposure.Match injury incidence (19.2 injuries/1000 hours of exposure) was almost six times higher than training injury incidence rate (3.5 injuries/1000 hours of exposure). Lower extremity injuries had the highest incidence rates (4.8 injuries/1000 hours of exposure). The most common types of injuries were muscle/tendon (1.8 injuries/1000 hours of exposure) and joint (non-bone) and ligament (1.5 injuries/1000 hours of exposure), which were frequently associated with traumatic incidents. Slight/minimal injuries (1-3 days of time loss) were the most common. The incidence rate of injuries during matches in the top 5 world ranking leagues was higher than the rest of the leagues (19.3 vs 10.7 injuries/1000 hours of exposure, respectively). The weighted injury proportion was 1.1 (95% confidence interval = 0.6-1.7) whereby on average players sustained more than one injury per season. Conclusions:Female football players are exposed to a substantial risk of sustaining injuries, especially during matches that require the highest level of performance. In order to markedly reduce overall injury burden, efforts should focus on introducing and evaluating preventative measures that target match specific dynamics in order to make football players more capable of responding to the challenges that they have to deal with during match play.Registration: This systematic review was registered in the PROSPERO international prospective register of systematic reviews (ID = CRD42019118152). Key pointsa) Match injury incidence is almost 6 times higher than the training injury incidence rate.-I b) Lower extremity is the anatomical region more frequently injured and the most common types of injuries are muscle/ tendon strains and joint (non-bone) and ligament. c) Although slight/minimal injuries are the most common, the number of severe injuries is high. d) Match injury incidence rates in the top-5 world ranking leagues was nearly t...