Press Jaclyn N, Rowson Steven
Department of Biomedical Engineering and Mechanics, Virginia Tech, Blacksburg, Virginia.
Clin J Sport Med. 2017 Mar;27(2):104-110. doi: 10.1097/JSM.0000000000000313.
The aim of this study was to quantify head impact exposure for a collegiate women's soccer team over the course of the 2014 season.
Observational and prospective study.
Virginia Tech women's soccer games and practices.
Twenty-six collegiate level women's soccer players with a mean player age of 19 ± 1.
Participating players were instrumented with head impact sensors for biomechanical analysis. Video recordings of each event were used to manually verify each impact sustained.
Head impact counts by player position and impact situation.
The sensors collected data from a total of 17 865 accelerative events, 8999 of which were classified as head impacts. Of these, a total of 1703 impacts were positively identified (19% of total real impacts recorded by sensor), 90% of which were associated with heading the ball. The average number of impacts per player per practice or game was 1.86 ± 1.42. Exposure to head impact varied by player position.
Head impact exposure was quantified through 2 different methods, which illustrated the challenges associated with autonomously collecting acceleration data with head impact sensors. Users of head impact data must exercise caution when interpreting on-field head impact sensor data.
本研究旨在量化一支大学女子足球队在2014赛季期间头部受到撞击的情况。
观察性前瞻性研究。
弗吉尼亚理工大学女子足球比赛和训练场地。
26名大学水平的女子足球运动员，平均年龄为19±1岁。
为参与的球员配备头部撞击传感器以进行生物力学分析。每场赛事的视频记录用于人工核实每次受到的撞击。
按球员位置和撞击情况统计的头部撞击次数。
传感器共收集到17865次加速事件的数据，其中8999次被归类为头部撞击。在这些撞击中，共1703次撞击被明确确认（占传感器记录的实际撞击总数的19%），其中90%与头球有关。每位球员每次训练或比赛的平均撞击次数为1.86±1.42次。头部撞击的暴露情况因球员位置而异。
通过两种不同方法对头部撞击暴露情况进行了量化，这说明了使用头部撞击传感器自主收集加速度数据所面临的挑战。头部撞击数据的使用者在解读场上头部撞击传感器数据时必须谨慎。
