The Bundesliga made headlines for becoming the first major sports league to return to sport worldwide following COVID-19 lockdown. To-date, there lacks retrospective studies on longitudinal injury rates to elucidate the effect isolation measures had on the health and safety of professional athletes. This study sought to compare injury rates experienced by Bundesliga athletes before and after the COVID-19 lockdown. Data was collected from public injury and player reports regarding the Bundesliga, with injury defined as trauma resulting in loss of game time. Descriptive statistics were used to present differences in injury incidence between all Bundesliga Match days pre- and post-lockdown. Between the league's resumption and completion on May 16 and June 27, 2020, injuries occurred in 21 forwards (FW), 11 central midfielders (CM), 12 wide midfielders (WM), 16 central defenders (CD), 6 fullbacks (FB), and 2 goalkeepers. Players had 1.13 (95% CI 0.78, 1.64) times the odds of being injured following the COVID-19 lockdown, with a 3.12 times higher rate of injury when controlling for games played compared to injury rates pre-lockdown (0.84 injuries per game vs. 0.27 injuries per game). The most frequent injury group was muscular injuries with 23 injuries total, with 17% of athletes experiencing injury during their first competitive match following lockdown. Injury rate increased over 3-fold following COVID-19 lockdown. Athletes did not experience an increased rate of injury with more cumulative competitive matches played. High injury incidence for players yet to complete their first competitive match may imply suboptimal sport readiness following home confinement.
Wearable sensors enable the real-time and non-invasive monitoring of biomechanical, physiological, or biochemical parameters pertinent to the performance of athletes. Sports medicine researchers compile datasets involving a multitude of parameters that can often be time consuming to analyze in order to create value in an expeditious and accurate manner. Machine learning and artificial intelligence models may aid in the clinical decision-making process for sports scientists, team physicians, and athletic trainers in translating the data acquired from wearable sensors to accurately and efficiently make decisions regarding the health, safety, and performance of athletes. This narrative review discusses the application of commercial sensors utilized by sports teams today and the emergence of descriptive analytics to monitor the internal and external workload, hydration status, sleep, cardiovascular health, and return-to-sport status of athletes. This review is written for those who are interested in the application of wearable sensor data and data science to enhance performance and reduce injury burden in athletes of all ages.
In response to the Covid-19 pandemic, medical educators have transformed pre-clerkship anatomy curricula to online formats. The purpose of this study was to evaluate the effectiveness and student perceptions of an online near-peer anatomy curriculum. The classes of 2022 and 2023 completed identical foundational anatomy curricula in-person, whereas the class of 2024 completed an adapted curriculum for remote online learning. Quantitative and qualitative responses were used to compare attitudes between instructional methods. Assessment scores and evaluation survey responses were collected from the classes of 2022 (n = 185), 2023 (n = 184), and 2024 (n = 183). Mean assessment scores (± SD) for the classes of 2022, 2023, and 2024 were 93.64% (±5.86), 93.75% (±4.09), and 92.04% (±4.83), respectively. Post-hoc group comparisons showed the class of 2024 scored significantly lower than the two previous classes [2022: (H(1) = 18.58, P < 0.001), 2023: (H(1) = 18.65, P < 0.001)]. Mean survey results concerning curriculum quality were 4.06 / 5.00 for the class of 2023 and 3.57 / 5.0 for the class of 2024 (t(365) = 2.67, P = 0.008). Considering a small effect size (η 2 = 0.034), there was no meaningful difference in student assessment scores. A potential drawback of online near-peer anatomy teaching remains in student perceptions of course quality; qualitative feedback suggested technological limitations and perceptions of online course instructors were partly responsible for lower student satisfaction. Following the Covid-19 pandemic, medical educators should incorporate the lessons learned from this unique educational inflection point to improve curricula moving forward.
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