Karlsson Jens, Heijne Annette, von Rosen Philip
Department of Neurobiology, Care Sciences, and Society (NVS) Division of Physiotherapy, Karolinska Institutet, Sweden.
Physiother Theory Pract. 2021 Oct;37(10):1132-1138. doi: 10.1080/09593985.2019.1685034. Epub 2019 Oct 30.
: The nine-test screening battery (9SB) consists of 11 tests used to assess injury risk in sports populations.: To evaluate the predictive value of the composite score and underlying factors of the 9SB for sustaining non-contact injury in adolescent elite handball players.: Forty-five (23 females) adolescent elite handball players, median age 17 (range 16-18), pre-seasonally performed the 9SB, followed by weekly recordings of injuries for 52 weeks using a web-based questionnaire.: The median value for seasonal substantial injury prevalence was 22% (25-75 percentiles 6-41). An exploratory factor analysis extracted three factors, complex movements, mobility, and lower extremity control, that explained a cumulative variance of 56%, where each factor contributed with 13-26% of the total variance. Based on the identified cutoff values, none of the factors or the complete 9SB could predict the risk of a non-contact new injury as well as the risk of reporting a substantial injury. A values were ranged 0.50 to 0.59, with the corresponding 95% CI including 0.50 for all factors.: Based on the limited predictive ability of the 9SB, it is not recommended that clinicians use the 9SB to predict injury in adolescent elite handball players.
九项测试筛查组合(9SB)由11项测试组成,用于评估运动人群的受伤风险。
为了评估9SB的综合得分及潜在因素对青少年精英手球运动员非接触性损伤的预测价值。
45名(23名女性)青少年精英手球运动员,中位年龄17岁(范围16 - 18岁),在赛季前进行了9SB测试,随后使用基于网络的问卷对损伤情况进行了为期52周的每周记录。
季节性严重损伤患病率的中位值为22%(25 - 75百分位数为6 - 41)。探索性因素分析提取了三个因素,即复杂动作、灵活性和下肢控制,它们解释了56%的累积方差,每个因素对总方差的贡献为13% - 26%。根据确定的临界值,没有一个因素或完整的9SB能够预测非接触性新损伤的风险以及报告严重损伤的风险。A值范围为0.50至0.59,所有因素的相应95%置信区间都包含0.50。
基于9SB有限的预测能力,不建议临床医生使用9SB来预测青少年精英手球运动员的损伤情况。