《中国康复理论与实践》 ›› 2024, Vol. 30 ›› Issue (8): 948-956.doi: 10.3969/j.issn.1006-9771.2024.08.010

• 应用研究 • 上一篇    下一篇

基于运动员前交叉韧带重建术后步态数据分析重返运动的风险

周易文1, 钟亚平1,2(), 魏梦力1,2, 王海锋1, 余绍华1, 桂辉贤1   

  1. 1.武汉体育学院体育大数据研究中心,湖北武汉市 430079
    2.湖北省运动与健康创新发展研究中心,湖北武汉市 430079
  • 收稿日期:2024-06-20 出版日期:2024-08-25 发布日期:2024-09-11
  • 通讯作者: 钟亚平,男,博士,教授,主要研究方向:运动训练理论与实践。E-mail: zhongyaping@whsu.edu.cn
  • 作者简介:周易文(1999-),女,汉族,湖南郴州市人,硕士研究生,主要研究方向:运动康复。
  • 基金资助:
    湖北省高等学校省级教学研究项目(2022395);国家社科基金后期资助重点项目(22FTYA001)

Risk assessment of return to sport based on gait data of athletes after anterior cruciate ligament reconstruction

ZHOU Yiwen1, ZHONG Yaping1,2(), WEI Mengli1,2, WANG Haifeng1, YU Shaohua1, GUI Huixian1   

  1. 1. Sports Big Data Research Center, Wuhan Sports University, Wuhan, Hubei 430079, China
    2. Hubei Sports and Health Innovation and Development Research Center, Wuhan, Hubei 430079, China
  • Received:2024-06-20 Published:2024-08-25 Online:2024-09-11
  • Supported by:
    Hubei Provincial Education Reform Project(2022395);National Social Science Foundation-later Stage (Key)(22FTYA001)

摘要:

目的 基于运动员前交叉韧带重建术(ACLR)术后的步态数据,分析其重返运动的风险。

方法 2023年5月至6月,在武汉体育学院招募ACLR术后运动员39例,采用三维动作捕捉系统、表面肌电和三维测力台,记录稳定步态和串联步态数据,并采用K-STARTS测试计算重返运动得分。各步态指标与K-STARTS测试总分之间的关系采用Pearson相关性分析,其中关键指标与重返运动的风险采用线性回归分析。

结果 在稳定步态中,步时与K-STARTS测试总分呈负相关(r = -0.479, P = 0.002),股直肌(r = 0.448, P = 0.004)和股外侧肌(r = 0.595, P = 0.001)的激活峰值振幅对称指数与K-STARTS测试总分均呈显著正相关。在串联步态中,重心横向位移距离与K-STARTS测试总分呈显著负相关(r = -0.341, P = 0.034),股外侧肌的激活峰值振幅出现时间对称指数与K-STARTS测试总分呈正相关(r = 0.320, P = 0.047)。回归分析显示,基于稳定步态构建的模型(F = 15.818, P = 0.001, R2 = 0.650)的解释度优于基于串联步态构建的模型(F = 7.692, P = 0.001, R2 = 0.397)。

结论 在稳定步态中,步态节奏变异性、对称性指标与重返运动风险相关;在串联步态中,步态平衡性、对称性指标与重返运动风险相关;相比于串联步态,基于稳定步态信息构建的重返运动风险评估模型的解释度更佳,可能更适合作为重返运动风险测试的简易方法。

关键词: 前交叉韧带重建术, 重返运动, 步态, 风险评估模型, 运动员, 运动损伤

Abstract:

Objective To analyze the risk of return to sport in athletes using their gait data following anterior cruciate ligament reconstruction (ACLR).

Methods From May to June, 2023, 39 athletes after ACLR were recruited in Wuhan Sports University. Their data on stable gait and tandem gait were recorded using a three-dimensional motion capture system, surface electromyography and a three-dimensional ergometer table. Additionally, return-to-sport scores were calculated using the K-STARTS test. The relationship between each gait indicator and the total score of the K-STARTS test was analyzed with Pearson correlation analysis. Furthermore, the key indicators related to the risk of return to sport were analyzed using linear regression.

Results In the stable gait test, the step time was negatively correlated with the total score of K-STARTS (r = -0.479, P = 0.002), and the peak amplitude symmetry index of rectus femoris (r= 0.448, P = 0.004) and vastus lateralis (r= 0.595, P = 0.001) were positively correlated with the total score of K-STARTS. In the tandem gait test, the lateral displacement distance of the center of gravity was negatively correlated with the total score of K-STARTS (r = -0.341, P= 0.034), and the time symmetry index of peak amplitude of vastus lateralis was positively correlated with the total score of K-STARTS (r= 0.320, P = 0.047). Regression analysis showed that the interpretation of the model based on stable gait (F = 15.818, P= 0.001, R2 = 0.650) was better than that based on tandem gait (F = 7.692, P = 0.001, R2 = 0.397).

Conclusions In stable gait, gait rhythm variability and symmetry are correlated with return to sport risk. In tandem gait, gait balance and symmetry indexes are correlated with return-to-sport risk. Compared with tandem gait, the interpretation of return-to-sport risk assessment model based on stable gait information is better, and may be more suitable as a simple return-to-sport risk test method.

Key words: anterior cruciate ligament reconstruction, return to sport, gait, risk assessment model, athlete, sports injury

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