体育医学中的算法审计:对SpartaScienceTM强力板系统的检查
Cody R Butler1, W Casan Scott2, Ben Hando3
1Special Warfare Human Performance Support Group, JBSA-Lackland AFB, TX.
Medicine and science in sports and exercise
|January 14, 2025
概括
强力板系统可能不准确地评估受伤风险. 更高的跳跃高度矛盾地降低了分数,而更多的体重增加了分数,质疑了肌肉骨损伤预测算法的有效性.
科学领域:
- 生物力学 生物力学
- 运动医学 运动医学
- 人类绩效分析 人类绩效分析
背景情况:
- 武装部队越来越多地使用强力板系统来预测肌肉骨损伤风险.
- 影响SpartaScienceTM等系统损伤风险得分的因素以及实验变化的影响尚不清楚.
研究的目的:
- 为了调查SpartaScienceTM肌肉骨 (MSK) 健康评分的预测因素.
- 检查实验性扰动对健康男性的MSK健康得分的影响.
主要方法:
- 823名健康的男性在SpartaScienceTM强力板上进行了反运动跳跃 (CMJ).
- 多重回归分析确定了MSK健康评分的预测因素.
- 12名男性的子组接受了一项测试-重新测试可靠性研究,其中50%的努力跳跃扰动.
主要成果:
- MSK健康得分与垂直跳高度负相关 (更高的跳跃=更低的得分),与体重正相关 (更高的体重=更高的得分).
- 跳跃高度的每英寸增加都会使得得分减少1.27个单位;体重增加的每磅都会增加0.12个单位.
- 83%的参与者在50%的努力跳跃测试中显示MSK健康得分有所改善.
结论:
- 该研究确定了MSK健康得分,跳跃高度和体重之间的意想不到的关系,跳跃高度是主要预测因素.
- 研究结果表明,随着跳跃高度的增加,受伤风险更高,但随着体重增加,风险更低.
- 与较低努力的悖论性得分改进突出了使用未经验证的算法来预测健康结果的潜在危险.
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