Human Performance Laboratory, Department of Health Promotion and Clinical Practice, College of Health and Wellness, Barry University, Miami Shores, FL 33161, USA.
Biomechanics Laboratory, School of Physical Education and Sports Sciences at Thessaloniki, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece.
Int J Environ Res Public Health. 2022 Oct 11;19(20):13077. doi: 10.3390/ijerph192013077.
Soccer clubs invest time and money in multidimensional identification practices, but the field implementation is still problematic. The repeated vertical jump test (RVJ), as an alternative to the monodimensional vertical jump, may offer similar prognostic value. Therefore, the prognostic validity of 15 RVJ within professional (PRO, = 24) and under 19 years old (U19, = 20) Greek male soccer players was examined. T-test, binomial logistic regression, and receiver operating characteristic for prognostic validity of anthropometric and performance values in predicting PRO status were applied using Jamovi version 2.3.3.0. Significant group differences presented in body height and mass, body mass index (BMI), maximum and average jump height, and relative jump power. The predicting model was significant ((2) = 17.12, < 0.001). Height and BMI were positive predictors of the PRO status ( = 21.66, = 0.008 and = 0.94, = 0.014, respectively). The model was 73% accurate, 75% specific, and 71% sensitive, with excellent area under the curve. The RVJ test demonstrated outstanding discriminating prognostic validity. Until the applicability of the multidimensional models in predicting future player status is further established, field practitioners may use the simplistic RVJ testing to predict future status among male soccer players.
足球俱乐部在多维识别实践上投入了时间和金钱,但实际实施仍然存在问题。重复垂直跳跃测试(RVJ)作为一维垂直跳跃的替代方法,可能具有相似的预测价值。因此,研究人员检验了 15 次 RVJ 在 24 名职业(PRO)和 20 名 19 岁以下(U19)希腊男性足球运动员中的预后价值。使用 Jamovi 版本 2.3.3.0 进行 T 检验、二项逻辑回归和预测 PRO 状态的人体测量和性能值的受试者工作特征分析。结果显示,在身高和体重、体重指数(BMI)、最大和平均跳跃高度以及相对跳跃功率方面,两组存在显著差异。预测模型具有统计学意义((2)= 17.12,<0.001)。身高和 BMI 是 PRO 状态的正预测因子(= 21.66,= 0.008 和= 0.94,= 0.014)。该模型的准确性为 73%,特异性为 75%,敏感性为 71%,曲线下面积优秀。RVJ 测试表现出出色的区分预后价值。在多维模型在预测未来球员状态的适用性得到进一步确立之前,现场从业者可以使用简单的 RVJ 测试来预测男性足球运动员的未来状态。