部肌肉强度比率预测男性足球运动员的部损伤使用机器学习和多变量分析-一项前性队列研究
Afxentios Kekelekis1,2, Rabiu Muazu Musa3, Pantelis T Nikolaidis4
1Laboratory of Neuromechanics, School of Physical Education and Sport Science at Serres, Aristotle University of Thessaloniki, 62100 Serres, Greece.
Muscles (Basel, Switzerland)
|August 4, 2025
概括
足球运动员的部力量不平衡,特别是在非主导腿部,并且有先前受伤的历史,面临着更高的关节受伤风险. 解决这些因素可能有助于预防策略.
科学领域:
- 运动医学 运动医学
- 生物力学 生物力学
- 伤害预防 预防伤害
背景情况:
- 足球运动中部受伤很常见,但预测因素仍然不清楚.
- 准确的伤害预测对于制定有效的预防策略至关重要.
- 了解部肌肉强度与沟损伤之间的联系需要进一步的研究.
研究的目的:
- 为了确定男性足球运动员沟受伤的重大风险因素.
- 分析部肌肉强度比率与沟损伤发生率之间的关系.
- 评估先前受伤史对随后的沟损伤的预测价值.
主要方法:
- 测量了120名男性足球运动员的同度部肌肉强度和强度比率.
- 根据国际足联/欧足联共识指南收集伤害数据.
- k-最近邻居 (k-NN) 和多变量逻辑回归 (LR) 用于预测和分析.
主要成果:
- 在非主导四肢中,添加器/提取器同度强度比下降显著降低了沟损伤的可能性 (OR=0.238).
- 之前的伤害史增加了承受新沟伤害的风险 (OR=0.333).
- 在非主导部添加器/提取器强度和先前受伤史上的不平衡被确定为关键风险因素.
结论:
- 非主导四肢的部强度失衡和先前的伤害史是足球中大腿损伤的重要预测因素.
- 针对力量不平衡和考虑损伤史可以为沟损伤预防计划提供信息.
- 需要进一步的研究来完善足球相关的关损伤的预测模型和缓解策略.
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