Makdissi Michael, Davis Gavin
Florey Institute of Neuroscience and Mental Health, Austin Campus, Melbourne Brain Centre, Australia; Australian Centre for Research into Injury in Sport and its Prevention (ACRISP), Federation University, Australia; School of Allied Health, La Trobe University, Australia.
Florey Institute of Neuroscience and Mental Health, Austin Campus, Melbourne Brain Centre, Australia; Department of Neurosurgery, Austin Hospital, Australia; Department of Neurosurgery, Cabrini Health, Australia.
J Sci Med Sport. 2016 Dec;19(12):958-963. doi: 10.1016/j.jsams.2016.02.014. Epub 2016 Mar 11.
The objectives of the study were to assess the relationship between various player and game factors and risk of concussion; and to assess the reliability of video analysis for mechanistic assessment of concussion in Australian football.
Prospective cohort study.
All impacts and collisions resulting in concussion were identified during the 2011 Australian Football League season. An extensive list of factors for assessment was created based upon previous analysis of concussion in Australian Football League and expert opinions. The authors independently reviewed the video clips and correlation for each factor was examined.
A total of 82 concussions were reported in 194 games (rate: 8.7 concussions per 1000 match hours; 95% confidence interval: 6.9-10.5). Player demographics and game variables such as venue, timing of the game (day, night or twilight), quarter, travel status (home or interstate) or score margin did not demonstrate a significant relationship with risk of concussion; although a higher percentage of concussions occurred in the first 5min of game time of the quarter (36.6%), when compared to the last 5min (20.7%). Variables with good inter-rater agreement included position on the ground, circumstances of the injury and cause of the impact. The remainder of the variables assessed had fair-poor inter-rater agreement. Common problems included insufficient or poor quality video and interpretation issues related to the definitions used.
Clear definitions and good quality video from multiple camera angles are required to improve the utility of video analysis for concussion surveillance in Australian football.
本研究的目的是评估各种球员和比赛因素与脑震荡风险之间的关系;并评估视频分析在澳大利亚足球脑震荡机制评估中的可靠性。
前瞻性队列研究。
在2011年澳大利亚足球联赛赛季期间,识别出所有导致脑震荡的撞击和碰撞。基于此前对澳大利亚足球联赛脑震荡的分析以及专家意见,创建了一份广泛的评估因素清单。作者独立审查视频片段,并检查每个因素的相关性。
在194场比赛中共报告了82起脑震荡(发生率:每1000比赛小时8.7次脑震荡;95%置信区间:6.9 - 10.5)。球员人口统计学特征和比赛变量,如比赛场地、比赛时间(白天、夜晚或黄昏)、季度、出行状态(主场或客场)或得分差距,与脑震荡风险均未表现出显著关系;不过,与该季度比赛时间的最后5分钟(20.7%)相比,在该季度比赛时间的前5分钟发生脑震荡的比例更高(36.6%)。评分者间一致性良好的变量包括场上位置、受伤情况和撞击原因。其余评估变量的评分者间一致性为中等至较差。常见问题包括视频不足或质量不佳以及与所用定义相关的解释问题。
需要清晰的定义和来自多个摄像机角度的高质量视频,以提高视频分析在澳大利亚足球脑震荡监测中的效用。