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基于医学大数据分析,分析影响运动中膝盖损伤的风险因素

Huiyan Li¹, Can Han², Lu Ma³

¹Sports and Health College, ABA Teachers University, Aba, Sichuan, China.

|August 27, 2025

概括

医疗大数据分析发现了与有关的关键风险因素. 高BMI,低自我意识和教练知识差距增加受伤的风险, 而优先考虑安全提供保护.

科学领域:

医疗大数据分析
运动医学
公共卫生

背景情况:

是一种有着悠久历史的流行运动.
练习中的不当技巧会导致膝盖和软组织受伤.

研究的目的:

通过医学大数据分析练习者膝盖受伤的危险因素.
找出与相关的膝盖伤害预防的保护因素.

主要方法:

使用后勤回归模型进行风险因素分析.
收集了89名膝盖受伤的练习者和100名没有受伤的对照者的数据.
分析一般数据,运动习惯和身体质量.

主要成果:

确定了独立的风险因素:高体重指数,低自我保护意识,经常向前曲的姿势,教练的体育医学知识不足,课程不完整.
安全是选择的主要考虑因素,

结论:

医疗大数据分析有效地识别了与相关的膝盖伤害的风险和保护因素.
这些发现可以为中受伤预防制定有针对性的干预策略.

关键词:

膝关节受伤响应时间危险因素运动

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