Huang Xuejuan, Yan Zhiyang, Ma Yong, Liu Hua
Department of Sports Engineering and Information Technology, Wuhan Sports University, Wuhan, China.
Research Center of Sports Equipment Engineering Technology of Hubei Province, Wuhan Sports University, Wuhan, China.
Front Physiol. 2023 Jun 21;14:1184340. doi: 10.3389/fphys.2023.1184340. eCollection 2023.
Balance ability is the basis of human actions. Improving the accuracy of dynamic balance assessment can increase the efficiency of sports injury prediction. This study aimed to investigate how physical activity and sports performance affect the dynamic balance ability of lower limbs and validate whether the Lower Quarter Y-Balance Test (YBT-LQ) is a reliable predictor of sports injury risk among Chinese physical education college students. In total, 169 voluntary participants completed the YBT-LQ at the beginning of a semester and provided some physiological information and an injury report at the end of the semester. The correlation between YBT-LQ performance and selected factors that can affect the dynamic balance control was analyzed based on data statistics. The receiver operating characteristic (ROC) and the area under curve (AUC) of the composite scores of the YBT-LQ were calculated to explore an optimal cutoff value for predicting sports injury risk. The composite scores of the YBT-LQ exhibited strong correlations with both the sports performance level and sports injury, as well as a moderate correlation with physical activity level, age (negative), and metabolic equivalent (MET). In the entire study population, the area under the receiver operating characteristic (ROC) curves for the binary classification of composite YBT-LQ scores of the left and right legs to predict sports injury risk were 0.78 and 0.74, respectively. Stratifying the study participants based on their levels of physical activity and sports performance had an effect on the AUC values of ROC curves. The optimal cutoff scores of the YBT-LQ for predicting sports injury risk were variable, with values more or less than 95%. Specifically, the cutoff scores for participants with the highest level of sports performance were notably higher, reaching up to 106.5% (left) and 107.2% (right). Physical activity and sports performance can influence human dynamic balance control. Composite scores of the YBT-LQ can be used with acceptable efficiency to predict sports injury. Stratifying participants based on their levels of physical activity and sports performance leads to different optimal cutoff values of the YBT-LQ composite scores in predicting sports injury. This approach is preferable to relying solely on a uniform 95% cutoff. It is recommended to analyze individuals with higher levels of sports performance, such as elite athletes, separately from those with lower levels. This is because the former group has a higher optimal cutoff value compared to the latter.
平衡能力是人类行动的基础。提高动态平衡评估的准确性可以提高运动损伤预测的效率。本研究旨在探讨身体活动和运动表现如何影响下肢的动态平衡能力，并验证下肢Y平衡测试（YBT-LQ）是否是中国体育专业大学生运动损伤风险的可靠预测指标。共有169名自愿参与者在学期开始时完成了YBT-LQ测试，并在学期结束时提供了一些生理信息和一份损伤报告。基于数据统计分析了YBT-LQ表现与可能影响动态平衡控制的选定因素之间的相关性。计算YBT-LQ综合得分的受试者工作特征（ROC）曲线和曲线下面积（AUC），以探索预测运动损伤风险的最佳临界值。YBT-LQ的综合得分与运动表现水平和运动损伤均呈现出强相关性，与身体活动水平、年龄（负相关）和代谢当量（MET）呈现出中度相关性。在整个研究人群中，用于预测运动损伤风险的左右腿YBT-LQ综合得分二元分类的受试者工作特征（ROC）曲线下面积分别为0.78和0.74。根据参与者的身体活动水平和运动表现水平对研究对象进行分层，会对ROC曲线的AUC值产生影响。YBT-LQ预测运动损伤风险的最佳临界分数是可变的，数值或多或少低于95%。具体而言，运动表现水平最高的参与者的临界分数明显更高，分别高达106.5%（左）和107.2%（右）。身体活动和运动表现会影响人体动态平衡控制。YBT-LQ的综合得分可以以可接受的效率用于预测运动损伤。根据参与者的身体活动水平和运动表现水平进行分层，会导致YBT-LQ综合得分在预测运动损伤时有不同的最佳临界值。这种方法比单纯依赖统一的95%临界值更可取。建议将运动表现水平较高的个体（如精英运动员）与运动表现水平较低的个体分开分析。这是因为与后者相比，前者的最佳临界值更高。
