卡塔尔明星联赛职业足球运动员随后受伤风险的纵向队列研究:使用基本学习的概率方法
Montassar Tabben1,2, Karim Chamari3,4, Khalid Alkhelaifi1,2
1Aspetar Orthopedic and Sports Medicine Hospital, Doha, Qatar.
Biology of sport
|March 5, 2026
概括
在职业足球中,后续受伤很常见,特别是在大腿和沟. 使用像马尔科夫链这样的概率模型来理解复发模式,可以改善针对性的伤害预防和康复策略.
科学领域:
- 运动医学 运动医学
- 生物力学 生物力学
- 流行病学 流行病学
背景情况:
- 精英运动员的后续受伤对球员的可用性和表现构成重大挑战.
- 了解伤害复发的机制和模式对于有效的体育伤害管理至关重要.
研究的目的:
- 调查职业足球运动员后续受伤的风险和模式.
- 使用马尔科夫模型探索初始和后续伤害之间的概率联系.
- 识别容易复发的特定肌肉群,并为预防策略提供信息.
主要方法:
- 观察队列研究设计分析了1,258名职业足球运动员的数据.
- 收集了9个赛季 (2013-2021) 时间损失伤害的数据.
- 利用马尔科夫链模型来分析受伤复发的概率.
主要成果:
- 确定了1599起后续伤害 (占总数的34%),主要是在大腿 (腿筋) 和部.
- 腿筋受伤在同一赛季内出现复发的概率为7.5%.
- 部受伤导致随后的腿筋受伤的概率为2.9%.
结论:
- 概率模型有助于制定有针对性的伤害预防策略.
- 下肢肌肉的高复发率需要针对性康复,重点是生物力学稳定性.
- 建议采用数据驱动的干预措施和主动监测,以减少伤害的复发并提高球员的表现.
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