Introduction: In recent decades, there has been an increase in the incidence of noncontact anterior cruciate ligament (ACL) injuries during sports, leading to high costs for athletes, sports teams, ...and the healthcare system. Participants followed an individualised testing order in Session 1, and a 1-minute rest period was provided between landing tasks. The reliability of single-leg and double-leg drop jump landing tasks was determined using intraclass correlation coefficient (ICC) with 95% confidence interval (CI) values.
Abstract
Introduction
Sleep is essential to musculoskeletal recovery, acquisition of new skills and emotional regulation in athletes. Insufficient sleep is detrimental to performance. Recent ...publications indicate that sleep duration is related to risk for injury in young athletes. We aimed at analyzing the relation between sleep opportunity and duration and the likelihood of an injury among adult elite athletes.
Methods
We studied 7,237 nights recorded with the Sleeprate application by 71 adult elite athletes from diverse sports, during the period September 2018-October 2019. Night recordings included perceived and measured sleep parameters. In addition, athletes reported their previous day nap duration, injuries and illness status. Out of the total number of nights, 4,205 included reported injury status with no injury and no illness for the previous night. Nightly total time in bed (TIB), TIB including reported naps (TIB24hr) and measured total sleep time (TST) were examined.
Results
Average TIB was significantly shorter (508±77 minutes, mean±STD) in healthy days preceding injuries than in healthy days preceding days with no injury (525±70 minutes, p<.001). Similar results were found when comparing the TIB24hr (injury: 517±83 minutes, no injury: 543±76 minutes, p<.001) and TST (injury: 443±72 minutes, no injury: 457±69 minutes, p<.001).
Conclusion
Average sleep opportunities of the elite athletes in this study were in accordance with their age and workouts load. The time athletes allow themselves as an opportunity for sleep is inversely correlated to the chances of developing an injury. These findings corroborate published research regarding sleep duration and risk of injury in athletes, yet our findings are based on real life data of elite athletes, and demonstrate the importance of sleep as part of the elite or professional athlete’s routine, suggesting that even as little as around 20 minutes of added sleep may be efficient in preventing injury.
Support
N/A
Methods: Cross-sectional, retrospective data on respondent characteristics, breast injuries and protective equipment, and breast pain and sports bras were collected using anonymous online surveys. ...Mann-Whitney U-tests and Chi-Squared Test of Homogeneity were performed to assess the differences in respondent characteristics between athletes who did and did not report previous breast injuries and breast pain. Only 14% reported having any breast pain management strategies.
Background Video analysis is one of the most commonly applied methods for analysing football injuries. Purpose The objective of this study was to assess the accuracy of video analysis for recording ...head injuries in professional football from official matches in the four highest men's professional football leagues in Germany. Methods In this cohort study, head injuries detected by means of video analysis of all official matches over one season (2017-18) were compared to head injuries registered with the German statutory accident insurance. Results Our video analysis yielded 359 head injuries of 287 players. The comparison of head injuries found in our video analysis to those registered with the accident insurance only yielded a match in 23.1% (n = 83), which presents a rather low verification rate. The verification rates varied between the leagues (7.0-30.8%). All injuries documented in the accident insurance registry were found in the video analysis (100%). The types of head injury most often verified by the accident insurance registry (n = 83) were contusion (43.4%), bone fractures (19.3%) and skin lacerations (18.1%). Only 66 of the 359 head injuries (18.4%) resulted in absence from at least one training session and involved a mean time loss of 18.5 days (1-87 days). Conclusion The mismatch between the number of head injuries found in the video analysis and head injuries registered with the accident insurance is an important methodological issue in scientific research. The low verification rate seems to be due to the unclear correlation between injury severity and clinical consequences of head injuries detected by means of video analysis and the failure of football clubs to register minor head injuries with the accident insurance.
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