男性职业足球运动员损伤风险的预测模型:系统回顾。

IF 2.5 3区 医学 Q2 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH
Francisco Martins, Krzysztof Przednowek, Francisco Santos, Cíntia França, Diogo Martinho, Élvio Rúbio Gouveia, Adilson Marques, Hugo Sarmento
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引用次数: 0

摘要

背景:职业足球运动员面临的挑战之一是伤病。由于他们对球队的影响,伤病极大地影响了体育事业。本研究旨在评估男性职业足球运动员受伤风险的预测模型。方法:按照系统评价和荟萃分析指南的首选报告项目进行系统文献综述。在PubMed、Web of Science和Scopus数据库中进行了搜索。两名独立审稿人筛选文章,评估合格性并提取数据。方法质量由纽卡斯尔-渥太华量表确定。结果:26项研究符合纳入标准。讨论:在职业足球损伤预测的研究中,使用了多种统计技术,其中逻辑回归是使用最多的。评价预测因子,尤其是受试者工作特征曲线下面积变化显著,说明预测模型的有效性。重点经常放在下肢损伤上,其中几个风险预测因素,包括肌肉力量、柔韧性和全球定位系统衍生的数据,被发现对损伤的发生有重大影响。突出的预测因素包括年龄、体位、生理参数、损伤史和遗传多态性。结论:这一综合分析凸显了损伤预测的复杂性,加强了足球损伤研究采用多元准确、全面的方法的必要性。普洛斯彼罗注册号:CRD42023465524。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Predictive models of injury risk in male professional football players: a systematic review.

Background: One of the challenges for professional football players is injuries. Due to their influence on their teams, injuries greatly impact the sports business. This research aims to assess predictive models of injury risk in male professional football players.

Methods: A systematic literature review was performed, following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. The search was conducted in the PubMed, Web of Science and Scopus databases. Two independent reviewers screened articles, assessed eligibility and extracted data. Methodological quality was determined by the Newcastle-Ottawa Scale.

Results: 26 studies met the inclusion criteria.

Discussion: Various statistical techniques were used in research on injury prediction in professional football, with logistic regression being the most used. The assessment predictors, especially the area under the receiver operating characteristic Curve, showed significant variation, which indicates the prediction models' efficacy. The focus was frequently on lower limb injuries, where several risk predictors, including muscular strength, flexibility and global positioning system-derived data, were found to substantially impact the occurrence of injuries. Prominent predictors included age, position, physiological parameters, injury history and genetic polymorphisms.

Conclusions: This comprehensive analysis highlights the complexity of injury prediction and reinforces the necessity for football injury research to adopt a multivariate approach with accuracy and comprehensiveness.

Prospero registration number: CRD42023465524.

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来源期刊
Injury Prevention
Injury Prevention 医学-公共卫生、环境卫生与职业卫生
CiteScore
5.30
自引率
2.70%
发文量
68
审稿时长
6-12 weeks
期刊介绍: Since its inception in 1995, Injury Prevention has been the pre-eminent repository of original research and compelling commentary relevant to this increasingly important field. An international peer reviewed journal, it offers the best in science, policy, and public health practice to reduce the burden of injury in all age groups around the world. The journal publishes original research, opinion, debate and special features on the prevention of unintentional, occupational and intentional (violence-related) injuries. Injury Prevention is online only.
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