背景:评估姿势控制对于评估脑震荡后的运动功能很重要。用于姿势控制评估的数据通常不采用所进行的运动,年龄,或者考虑运动员的性别。在做出回归决策时,这些变量可能很重要。
目的:本研究使用BTrackS数据库来检查不同类型运动的运动员在姿势控制方面的差异以及性别和年龄的差异。
方法:采用单向方差分析和事后检验对9093名高中至大学运动员(14-22岁)的BTrackS数据进行了检查,以比较运动类型之间的CoP路径长度。适度分析用于测试性别和年龄对CoP/BMI比率的交互影响。
结果:在运动类型之间观察到显着差异,F(3,9089)=42.4,p<.001,η2=0.014。事后测试表明,与接触(M=23.4,SD=7.4)相比,碰撞(M=25.0,SD=7.6)运动运动员表现出明显更高的CoP指标,有限接触(M=22.9,SD=6.9),非接触(M=23.0,SD=7.4)运动员。其他运动类型之间没有差异(p>.20)。显著的平均性别差异(Mmale=0.924,Mfemale=0.898,p<.001)和与年龄的二次关联,观察到(β=-0.042,p<.001)。Further,这些年龄差异的大小随着年龄的增加而减小(β=0.011,p<.001)。对于线性项(β=0.020,p<.001)和二次项(β=-0.006,p<.001),年龄和性别的交互作用显着。
结论:运动员在运动类型时表现出不同的姿势控制,年龄,考虑到了性。该数据具有临床意义,因为这表明碰撞运动运动员的规范姿势控制数据应根据所进行的运动类型从数据中得出,年龄,和运动员的性别。
Assessing postural control is important for the assessment of motor function after concussion. Data used for postural control assessment typically do not take the sport played, age, or sex of the athlete into consideration. It is plausible these variables may be significant when making return-to-play decisions.
This study used the BTrackS database to examine differences in postural control in athletes playing different types of sports and across sex and age.
BTrackS data from 9093 high school to college-aged athletes (aged 14-22 years) were examined employing a One-way ANOVA with a post-hoc test to compare CoP path length between sport types. A moderation analysis was used to test interaction effects of sex and age on a CoP/BMI ratio.
Significant differences were observed between sport types, F(3,9089) = 42.4, p <.001, η2 = 0.014. Post hoc tests indicated that
collision (M = 25.0, SD = 7.6) sport athletes exhibited significantly higher CoP measures compared to the contact (M = 23.4, SD = 7.4), limited contact (M = 22.9, SD = 6.9), and non-contact (M = 23.0, SD = 7.4) athletes. There was no difference between other sport types (p >.20). A significant mean sex difference (Mmale = 0.924, Mfemale = 0.898, p <.001) and a quadratic association with age, (β = -0.042, p <.001) was observed. Further, magnitude of those age differences decreased with age (β = 0.011, p <.001). An interaction of age and sex was significant for linear (β = 0.020, p <.001) and quadratic terms (β = -0.006, p <.001).
Athletes exhibited different postural control when the type of sport, age, and sex was taken into consideration. This data possess clinical significance as this suggests that normative postural control data for
collision sport athletes should be derived from data based upon type of sport played, age, and sex of the athlete.