Janet Simon1, Matthew Donahue2, Carrie L Docherty3. 1. Department of Kinesiology, Indiana University, 1025 E. 7th Street, Bloomington, IN, USA. Electronic address: jesimon@indiana.edu. 2. Department of Health Promotion and Human Performance, Weber State University, Ogden, UT, USA. 3. Department of Kinesiology, Indiana University, 1025 E. 7th Street, Bloomington, IN, USA.
Abstract
OBJECTIVE: Determine which ankle instability questionnaire predicts subject's ankle instability status based on a minimum accepted criteria for FAI (MC_FAI). DESIGN: Cross-sectional study. SETTING: Large Midwestern University. PARTICIPANTS: 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. MAIN OUTCOME MEASURES: 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. RESULTS: 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%. CONCLUSIONS: This analysis illustrates that IdFAI is a good overall option for predicting ankle stability status by self-reported questionnaire.
OBJECTIVE: Determine which ankle instability questionnaire predicts subject's ankle instability status based on a minimum accepted criteria for FAI (MC_FAI). DESIGN: Cross-sectional study. SETTING: Large Midwestern University. PARTICIPANTS: 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. MAIN OUTCOME MEASURES: 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. RESULTS: 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%. CONCLUSIONS: This analysis illustrates that IdFAI is a good overall option for predicting ankle stability status by self-reported questionnaire.
Authors: Phillip A Gribble; Eamonn Delahunt; Christopher M Bleakley; Brian Caulfield; Carrie L Docherty; Daniel Tik-Pui Fong; François Fourchet; Jay Hertel; Claire E Hiller; Thomas W Kaminski; Patrick O McKeon; Kathryn M Refshauge; Philip van der Wees; William Vicenzino; Erik A Wikstrom Journal: J Athl Train Date: 2013-12-30 Impact factor: 2.860