کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
3325763 1212036 2012 5 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Correlation of the composite equilibrium score of computerized dynamic posturography and clinical balance tests
موضوعات مرتبط
علوم پزشکی و سلامت پزشکی و دندانپزشکی طب سالمندان و علم پیری شناسی
پیش نمایش صفحه اول مقاله
Correlation of the composite equilibrium score of computerized dynamic posturography and clinical balance tests
چکیده انگلیسی

BackgroundThe computerized dynamic posturography has been widely used to access balance control in patients with balance dysfunction. A composite-equilibrium score (CS) can be calculated from the sensory organization test using the computerized dynamic posturography. However, the correlation between the composite equilibrium score and clinical tests and its ability to predict falls has rarely been explored in the past.MethodsA total of 60 patients with chief complaint of dizziness were enrolled in our study, and clinical assessments were done including the sensory organization test (SOT), Timed Up and Go test (TUG), Tinetti Performance-Oriented Mobility Assessment (POMA), and the dynamic gait index (DGI). The age and the subjective feeling of the severity of dizziness quantified by the visual analog scale (VAS) of each patient were also recorded.ResultsStatistical analysis revealed significant correlation between the composite equilibrium score and the TUG, POMA (gait, balance and total scores), and the DGI. However, there is statistically significant correlation between neither the CS and the age nor the VAS of dizziness. When grouping the DGI, POMA (total score), and the TUG cutoff to predict fall risks, the correlations to the CS can still be established except the TUG.ConclusionFrom the results of our study, the validity of the clinical tests was established in assessment of balance function, and clinicians can utilize these tools for preliminary evaluation of patient balance when computerized dynamic posturography is not available. In addition, CS can be used to predict the risk of falls.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Clinical Gerontology and Geriatrics - Volume 3, Issue 2, June 2012, Pages 77–81
نویسندگان
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