Figlioli Flavia, Belmonte Giacomo, Giustino Valerio, Canzone Alberto, Ferrantello Elena, Gervasi Marco, Fernández-Peña Eneko, Battaglia Giuseppe, Bianco Antonino, Patti Antonino
Sport and Exercise Sciences Research Unit, Department of Psychology, Educational Science and Human Movement, University of Palermo, 90144 Palermo, Italy.
Department of Biomolecular Sciences-Division of Exercise and Health Sciences, University of Urbino Carlo Bo, 61029 Urbino, Italy.
Sports (Basel). 2024 Mar 5;12(3):71. doi: 10.3390/sports12030071.
The ease of administration of the Cumberland Ankle Instability Tool (CAIT) could represent a methodology for periodically evaluating athletes, preventing ankle instability injuries. This study aimed to achieve three objectives: (a) to evaluate the applicability of the CAIT scale in volleyball; (b) to explore whether ankle instability presents a greater risk in lower-level volleyball categories and whether elite athletes demonstrate an ability to mitigate this risk; and (c) to identify potential predictors of ankle instability.
Eighty female volleyball players participated in this cross-sectional observational study. The CAIT was administered to evaluate the athletes belonging to some teams in Series A, B, and C.
The Spearman's ranks correlation coefficient showed significant correlations between CAIT items. Additionally, the Cronbach's α showed a high internal consistency. Our results showed a significant difference between athletes who reported pain and those who did not ( < 0.001). The multiple linear regression model analysis showed that pain was a predictor of ankle instability ( < 0.001).
Our findings suggest that the CAIT can be used to evaluate ankle stability in volleyball players. This scale could represent a valuable tool for implementing specific intervention programs to prevent ankle injuries in athletes.
坎伯兰踝关节不稳定工具(CAIT)使用简便,可作为定期评估运动员、预防踝关节不稳定损伤的一种方法。本研究旨在实现三个目标:(a)评估CAIT量表在排球运动中的适用性;(b)探讨踝关节不稳定在低级别排球组别中是否存在更大风险,以及精英运动员是否具备降低这种风险的能力;(c)确定踝关节不稳定的潜在预测因素。
80名女排运动员参与了这项横断面观察性研究。使用CAIT对A组、B组和C组部分球队的运动员进行评估。
斯皮尔曼等级相关系数显示CAIT各项目之间存在显著相关性。此外,克朗巴赫α系数显示出较高的内部一致性。我们的结果显示,报告疼痛的运动员与未报告疼痛的运动员之间存在显著差异(<0.001)。多元线性回归模型分析表明,疼痛是踝关节不稳定的一个预测因素(<0.001)。
我们的研究结果表明,CAIT可用于评估排球运动员的踝关节稳定性。该量表可为实施预防运动员踝关节损伤的特定干预方案提供有价值的工具。