QUANTITATIVE ANALYSIS OF THE RESULTS OBTAINED BY THE FUNCTIONAL TESTING WITH THE SWAYTM BALANCE APPLICATION IN RELATION TO NORMS FOR APPROPRIATE GENDER AND AGE
Abstract
The Balance Error Scoring System (BESS) is a common balance test relying on assessment tools such as the SwayTM Balance application for IOS mobile, encompassing the tri-axial accelerometers and movement sensors to measure bodily sway. Given that age and gender are important factors when using this methodology, suitable normative score sets were determined. The main aim of this study was a quantitative analysis of the ability of healthy, 21-year-old participants of both genders to maintain postural balance using the aforementioned normative values. The postural balance scoring was done by the co-application of the modified BESS test and SwayTM Balance software during a protocol organized in three-week double-scoring sessions. In order to assess the participants’ age- and gender-dependent abilities, the average balance score medians were contextualized with the appropriate normative values. All of the participants showed average results, with scores ameliorating during the procedure, and the female participants showed generally better results than the males. Focusing solely on the first-session scores revealed, however, that men had scored at the low average cut-off point, while women scored below average age- and sex-dependent cut-off points. However, in the last session both genders scored deeply within the average. This study showed average abilities of the studied participants according to the normative values, as well as a generally better performance of the women compared to the men, but it has also pointed out that, due to subject adaptation, the chosen combination of protocol and technology is of limited usefulness for balance assessment in the general population, indicating the need for protocol adjustments in future studies.
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Adamović, M. (2018). Procena ravnoteže i rizika od pada kod starih osoba (Estimation of the balance and risk of falling in the elderly). Unpublished doctoral Dissertation, Belgrade: Faculty for Special Education and Rehabilitation. In Serbian
Amick, R.Z., Chaparro, A., & Patterson, J.A. (2015). Test-retest reliability of the Sway Balance mobile application. Journal of Mobile Technology in Medicine, 4(2), 40-47.
Anderson, S.L., Gatens, D., Glatts, C., & Russo, S.A. (2017). Normative data set of SWAY Balance mobile assessment in pediatric athletes. Clinical Journal of Sport Medicine, 1-8.
Brauer, S.G., Woollacott, M., & Shumway-Cook, A. (2001). The interacting effects of cognitive demand and recovery of postural stability in balance-impaired elderly persons. Journals of Gerontology Series A: Biological Sciences and Medical Sciences, 56(8), M489-496.
Brett, B.L., Zuckerman, S. L., Terry, D.P., Solomon, G.S., & Iverson, G.L. (2018). Normative data for the Sway Balance System. Clinical Journal of Sport Medicine, doi: 10.1097/JSM.0000000000000632.
Chang, J.O., Levy, S.S., Seay, S.W., & Goble, D.J. (2014). An alternative to the balance error scoring system: using a low-cost balance board to improve the validity/reliability of sports-related concussion balance testing. Clinical Journal of Sport Medicine, 24(3), 256-262.
Dabbs, N.C., Sauls, N.M., Zayer, A., & Chander, H. (2017). Balance Performance in collegiate athletes: A Comparison of Balance Error Scoring System measures. Journal of Functional Morphology and Kinesiology, 2(3), 26-32.
Fiems, C.L., Dugan, E.L., Moore, E.S., & Combs-Miller, S.A. (2018). Reliability and validity of the Sway Balance mobile application for measurement of postural sway in people with Parkinson disease. Neuro Rehabilitation, 43(2), 147-154.
Finnoff, J.T., Peterson, V.J., Hollman, J.H., & Smith, J. (2009). Intrarater and interrater reliability of the Balance Error Scoring System (BESS). PMR, 1(1), 50-54.
Mancini, M., & Horak, F.B. (2010). The relevance of clinical balance assessment tools to differentiate balance deficits. European Journal of Physical and Rehabilitation Medicine, 46(2), 239-248.
Onate, J.A., Beck, B.C., & Van Lunen, B.L. (2007). On-field testing environment and balance error scoring system performance during preseason screening of healthy collegiate baseball players. Journal of Athletic Training, 42(4), 446-451.
Palant, J. (2007). SPSS Survival manual: A step by step guide to data analysis using SPSS for windows (3rd ed.). New York: McGraw-Hill Open University Press
Purenović-Ivanović, T. M., Popović, R., Stanković, D., & Bubanj, S. (2016). The importance of motor coordination abilities for performance in rhythmic gymnastics. Facta Universitatis, Series Physical Education and Sport, 14(1), 63-74.
Jeremy, A.P., Amick, R.Z., Thummar, T., & Rogers, M.E. (2014). Validation of measures from the smartphone sway balance application: a pilot study. International Journal of Sports Physical Therapy, 9(2), 135-139.
Sway Medical (2016). Sway system. Balance. USA: Sway Medical. Retrieved March 10th, 2016 from: https://swaymedical.com/system/balance
Watson, S., Chambers, D., Hobbs, C., Doherty, P., & Graham, A. (2008). The endocannabinoid receptor, CB1, is required for normal axonal growth and fasciculation. Molecular and Cellular Neuroscience, 38(1), 89-97.
DOI: https://doi.org/10.22190/FUPES190315010N
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