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Tytuł artykułu

The use of the Gait Variability Index for the evaluation of individuals after a stroke

Treść / Zawartość
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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
The Gait Variability Index (GVI) summarizes overall gait quality, taking into account spatiotemporal parameters from a 3-dimensional gait analysis. However, there are no studies evaluating changes in gait patterns after stroke, based on the GVI. The study was designed to assess usefulness of the GVI for evaluation of gait pathology in subjects with stroke, compared to healthy individuals. Methods: Spatiotemporal gait parameters were examined in a group of 50 subjects at a chronic stage post-stroke and in 50 healthy controls. The GVI was calculated based on the 9 spatiotemporal data. Results: The findings show statistically significant differences between the values of the GVI for paretic and non-paretic limbs ( p < 0.001). Higher values of the index were identified in the case of non-paretic limb: 80.74 vs. 76.32. The GVI scores were decreased for both paretic and non-paretic limbs, compared to the controls – p < 0.001. Conclusions: The GDI score seems to be a viable tool for quantifying changes in gait pattern during evaluation of subjects with chronic post-stroke hemiparesis. Further studies should be conducted to validate the use of GVI in the post-stroke population.
Rocznik
Strony
171--177
Opis fizyczny
Bibliogr. 21 poz., tab., wykr.
Twórcy
autor
  • Institute of Physiotherapy, University of Rzeszów, Rzeszów, Poland
  • Institute of Physiotherapy, University of Rzeszów, Rzeszów, Poland
autor
  • Institute of Physiotherapy, University of Rzeszów, Rzeszów, Poland
  • Institute of Physiotherapy, University of Rzeszów, Rzeszów, Poland
  • Institute of Physiotherapy, University of Rzeszów, Rzeszów, Poland
autor
  • Institute of Physiotherapy, University of Rzeszów, Rzeszów, Poland
Bibliografia
  • [1] ALCANTARA C.C., ALONSO A.C., SPECIALI D.S., The use of the Gait Deviation Index for the evaluation Post-stroke Hemiparetic Subjects, Medical Express, 2017, 4, M170305.
  • [2] BAKER R., MCGINLEY J.L., SCHWARTZ M.H., BEYNON S., ROZUMALSKI A., GRAHAM H.K., TIROSH O., The gait profile score and movement analysis profile, Gait Posture, 2009, 30, 265–269.
  • [3] BALABAN B., TOK F., Gait disturbances in patients with stroke, PM. R., 2014, 6, 635–642.
  • [4] BALASUBRAMANIAN C.K., CLARK D.J., GOUELLE A., Validity of the Gait Variability Index in older adults: Effect of aging and mobility impairments, Gait Posture, 2015, 41, 941–946.
  • [5] BELDA-LOIS J.M., MENA-DEL HORNO S., BERMEJO-BOSCH I., MORENO J.C., PONS J.L., FARINA D. et al., Rehabilitation of gait after stroke: a review towards a top-down approach, J. Neuroeng. Rehabil., 2011, 13, 8, 66.
  • [6] DAVIS R.B., ÕUNPUU S., TYBURSKI D., GAGE J.R., A gait analysis data collection and reduction technique, Hum. Mov. Sci., 1991, 10, 575–587.
  • [7] ENG J.J., TANG P.F., Gait training strategies to optimize walking ability in people with stroke: A synthesis of the evidence, Expert. Rev. Neurother., 2007, 7, 1417–1436.
  • [8] GOUELLE A., MÉGROT F., PRESEDO A., HUSSON I., YELNIK A., PENNEÇOT G.F., The gait variability index: a new way to quantify fluctuation magnitude of spatiotemporal parameters during gait, Gait Posture, 2013, 38, 461–465.
  • [9] GUZIK A., DRUŻBICKI M., PRZYSADA G., KWOLEK A., BRZOZOWSKA-MAGOŃ A., SOBOLEWSKI M., Relationships between walking velocity and distance and the symmetry of temporospatial parameters in chronic post-stroke subjects, Acta Bioeng. Biomech., 2017, 19, 147–154.
  • [10] MASSAAD A., ASSI A., SKALLI W., GHANEM I., Reliability and validation of Gait Deviation Index in children: typically developing and cerebral palsy, Gait Posture, 2014, 39, 354–358.
  • [11] MCGINLEY J.L., BAKER R., WOLFE R., MORRIS M.E., The reliability of three-dimensional kinematic gait measurements: a systematic review, Gait Posture, 2009, 29, 360–369.
  • [12] MELDRUM D., SHOULDICE C., CONROY R., JONES K., FORWARD M., Test-retest reliability of three dimensional gait analysis: including a novel approach to visualising agreement of gait cycle waveforms with Bland and Altman plots, Gait Posture, 2014, 39, 265–271.
  • [13] MOLLOY M., MCDOWELL B.C., KERR C., COSGROVE A.P., Further evidence of validity of the Gait Deviation Index, Gait Posture, 2010, 31, 479–482.
  • [14] OLNEY S.J., RICHARDS C., Hemiparetic gait following stroke. Part I: Characteristics, Gait Posture, 1996, 4, 136–148.
  • [15] PATTERSON K.K., GAGE W.H., BROOKS D., BLACK S.E., MCILROY W.E., Evaluation of gait symmetry after stroke: a comparison of current methods and recommendations for standardization, Gait Posture, 2010, 31, 241–246.
  • [16] PATTERSON K.K., NADKARNI N.K., BLACK S.E., MCILROY W.E., Temporal gait symmetry and velocity differ in their relationship to age, Gait Posture, 2012, 35, 590–594.
  • [17] PIETRASZEWSKI B., WINIARSKI S., JAROSZCZUK S., Threedimensional human gait pattern – reference data for normal men, Acta Bioeng. Biomech., 2012, 14, 9–16.
  • [18] PIZZI A., CARLUCCI G., FALSINI C., LUNGHI F., VERDESCA S., GRIPPO A., Gait in hemiplegia: evaluation of clinical features with the Wisconsin Gait Scale, J. Rehabil. Med., 2007, 39, 170–174.
  • [19] RENNIE L., DIETRICHS E., MOE-NILSSEN R., OPHEIM A., FRANZÉN E., The validity of the Gait Variability Index for individuals with mild to moderate Parkinson’s disease, Gait Posture, 2017, 54, 311–317.
  • [20] SCHUTTE L.M., NARAYANAN U., STOUT J.L., SELBER P., GAGE J.R., SCHWARTZ M.H., An index for quantifying deviations from normal gait, Gait Posture, 2000, 11, 25–31.
  • [21] WREN T.A., DO K.P., HARA R., DOREY F.J., KAY R.M., OTSUKA N.Y., Gillette Gait Index as a gait analysis summary measure: comparison with qualitative visual assessments of overall gait, J. Pediatr. Orthop., 2007, 27, 765–768.
Uwagi
Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2019).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-a32622f8-c5a2-4e1e-98b1-02430ffb9aac
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