Wright Alexis A, Dischiavi Steven L, Smoliga James M, Taylor Jeffrey B, Hegedus Eric J
High Point University, Department of Physical Therapy, One University Parkway, Drawer 67, High Point, NC 27268, USA.
High Point University, Department of Physical Therapy, One University Parkway, Drawer 67, High Point, NC 27268, USA.
Physiotherapy. 2017 Jun;103(2):231-236. doi: 10.1016/j.physio.2016.06.002. Epub 2016 Jun 25.
To determine if the Lower Quarter Y-Balance Test (LQYBT) is predictive of lower extremity injury in NCAA Division 1 athletes.
Prospective cohort, therapy.
One hundred eighty-nine NCAA Division 1 athletes participated in the study and underwent a preparticipation screen that included the LQYBT. Maximal reach distances were recorded in each direction and normalized to leg length. A composite score was calculated by summing the three normalized reach distances and dividing by three times leg length. Side to side asymmetry was calculated as the lesser of the two composite scores, divided by the greater of the two composite scores, multiplied by 100. Injuries for the following season were tracked and recorded; LQYBT scores were compared between injured and non-injured athletes.
In our sample, 90 [59 female, 31 male] of the 189 athletes participating suffered a lower extremity injury. No significant differences were found between injured and non-injured athletes for reach distance, normalized reach distance, normalized composite reach distance, or normalized composite percent score (P>0.05).
The LQYBT does not appear to predict general lower extremity injury in a diverse population of NCAA D1 athletes. These results are in direct conflict with previous findings suggesting the LQYBT is predictive of injury suggesting its utility as an injury risk screening tool in a general collegiate athletic population should continue to be questioned.
确定下肢Y平衡测试(LQYBT)是否可预测美国大学体育协会(NCAA)一级运动员的下肢损伤。
前瞻性队列研究,治疗。
189名NCAA一级运动员参与了该研究,并接受了包括LQYBT在内的参赛前筛查。记录每个方向的最大伸展距离,并将其标准化为腿长。通过将三个标准化伸展距离相加,再除以腿长的三倍来计算综合得分。左右不对称性的计算方法是,将两个综合得分中较小的那个除以较大的那个,再乘以100。跟踪并记录下一赛季的损伤情况;比较受伤运动员和未受伤运动员的LQYBT得分。
在我们的样本中,189名参与研究的运动员中有90名[59名女性,31名男性]下肢受伤。在伸展距离、标准化伸展距离、标准化综合伸展距离或标准化综合百分比得分方面,受伤运动员和未受伤运动员之间未发现显著差异(P>0.05)。
LQYBT似乎无法预测NCAA D1运动员群体中的一般下肢损伤。这些结果与之前的研究结果直接冲突,之前的研究表明LQYBT可预测损伤,这表明其作为一般大学运动员群体损伤风险筛查工具的效用仍值得质疑。