Wilkerson Gary B, Colston Marisa A
Graduate Athletic Training Education Program, University of Tennessee at Chattanooga.
J Athl Train. 2015 Jun;50(6):643-50. doi: 10.4085/1062-6050-50.2.04. Epub 2015 Apr 6.
Researchers have identified high exposure to game conditions, low back dysfunction, and poor endurance of the core musculature as strong predictors for the occurrence of sprains and strains among collegiate football players.
To refine a previously developed injury-prediction model through analysis of 3 consecutive seasons of data.
Cohort study.
National Collegiate Athletic Association Division I Football Championship Subdivision football program.
For 3 consecutive years, all 152 team members (age = 19.7 ± 1.5 years, height = 1.84 ± 0.08 m, mass = 101.08 ± 19.28 kg) presented for a mandatory physical examination on the day before initiation of preseason practice sessions.
MAIN OUTCOME MEASURE(S): Associations between preseason measurements and the subsequent occurrence of a core or lower extremity sprain or strain were established for 256 player-seasons of data. We used receiver operating characteristic analysis to identify optimal cut points for dichotomous categorizations of cases as high risk or low risk. Both logistic regression and Cox regression analyses were used to identify a multivariable injury-prediction model with optimal discriminatory power.
Exceptionally good discrimination between injured and uninjured cases was found for a 3-factor prediction model that included equal to or greater than 1 game as a starter, Oswestry Disability Index score equal to or greater than 4, and poor wall-sit-hold performance. The existence of at least 2 of the 3 risk factors demonstrated 56% sensitivity, 80% specificity, an odds ratio of 5.28 (90% confidence interval = 3.31, 8.44), and a hazard ratio of 2.97 (90% confidence interval = 2.14, 4.12).
High exposure to game conditions was the dominant injury risk factor for collegiate football players, but a surprisingly mild degree of low back dysfunction and poor core-muscle endurance appeared to be important modifiable risk factors that should be identified and addressed before participation.
研究人员已确定,在大学橄榄球运动员中,高强度的比赛条件、腰部功能障碍以及核心肌肉群耐力不足是扭伤和拉伤发生的有力预测因素。
通过对连续三个赛季的数据进行分析,完善先前开发的损伤预测模型。
队列研究。
美国国家大学体育协会第一分区橄榄球锦标赛分组赛橄榄球项目。
连续三年,所有152名队员(年龄 = 19.7 ± 1.5岁,身高 = 1.84 ± 0.08米,体重 = 101.08 ± 19.28千克)在季前训练开始前一天参加了强制性体检。
针对256个运动员赛季的数据,确定季前测量指标与随后发生的核心或下肢扭伤或拉伤之间的关联。我们使用受试者工作特征分析来确定将病例分为高风险或低风险的二分分类的最佳切点。逻辑回归和Cox回归分析均用于确定具有最佳判别力的多变量损伤预测模型。
对于一个三因素预测模型,发现受伤和未受伤病例之间具有非常好的区分度,该模型包括作为首发球员参加至少1场比赛、奥斯威斯残疾指数得分等于或大于4以及靠墙静蹲表现不佳。这三个风险因素中至少存在两个时,显示出56%的敏感性、80%的特异性、5.28的比值比(90%置信区间 = 3.31, 8.44)以及2.97的风险比(90%置信区间 = 2.14, 4.12)。
高强度的比赛条件是大学橄榄球运动员主要的损伤风险因素,但令人惊讶的是,轻度的腰部功能障碍和较差的核心肌肉耐力似乎是重要的可改变风险因素,在参与运动前应予以识别和处理。