Simon Janet, Donahue Matthew, Docherty Carrie L
Department of Kinesiology, Indiana University, 1025 E. 7th Street, Bloomington, IN, USA.
Department of Health Promotion and Human Performance, Weber State University, Ogden, UT, USA.
Phys Ther Sport. 2014 May;15(2):97-100. doi: 10.1016/j.ptsp.2013.03.005. Epub 2013 Jul 25.
Determine which ankle instability questionnaire predicts subject's ankle instability status based on a minimum accepted criteria for FAI (MC_FAI).
Cross-sectional study.
Large Midwestern University.
College aged subjects (n = 1127 19.6 ± 2.1 years) from a university population were recruited for this study. Any volunteer, regardless of ankle injury history was included in the study.
The independent variables were the score on three self-report ankle instability questionnaires: Ankle Instability Instrument, Cumberland Ankle Instability Tool, and Identification of Functional Ankle Instability. Subjects completed the questionnaires for their dominant limb during a single testing session. The dependent variable was created based on the previously established MC_FAI. This was established as at least one ankle sprain and at least one episode of giving way. Data were modeled using a chi-square and multinomial logistic regression. 95% confidence intervals were calculated for the resulting odds ratios.
A test of the full model with all three predictors against MC_FAI revealed that only the IdFAI (X² = 457.09, p = .001) had a significant relationship with the outcome variable. The IdFAI had an overall prediction rate of 87.8%.
This analysis illustrates that IdFAI is a good overall option for predicting ankle stability status by self-reported questionnaire.
根据髋关节撞击症的最低公认标准（MC_FAI），确定哪种踝关节不稳定问卷能够预测受试者的踝关节不稳定状态。
横断面研究。
中西部大型大学。
从大学人群中招募了大学年龄的受试者（n = 1127，19.6 ± 2.1岁）。本研究纳入了任何志愿者，无论其踝关节损伤史如何。
自变量为三份自我报告的踝关节不稳定问卷的得分：踝关节不稳定量表、坎伯兰踝关节不稳定工具和功能性踝关节不稳定识别问卷。受试者在一次测试中完成了其优势肢体的问卷。因变量是根据先前建立的MC_FAI创建的。其定义为至少一次踝关节扭伤和至少一次打软腿发作。数据采用卡方检验和多项逻辑回归进行建模。计算了所得比值比的95%置信区间。
对包含所有三个预测因子的完整模型与MC_FAI进行的检验显示，只有功能性踝关节不稳定识别问卷（IdFAI）（X² = 457.09，p = .001）与结果变量有显著关系。IdFAI的总体预测率为87.8%。
该分析表明，通过自我报告问卷，IdFAI是预测踝关节稳定状态的一个很好的总体选择。
