한국전문물리치료학회지 (Physical Therapy Korea)

  • 제20권4호
  • /
  • Pages.40-46
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  • 2013
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  • 1225-8962(pISSN)
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  • 2287-982X(eISSN)
한국전문물리치료학회 (Korean Research Society of Physical Therapy)
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Spatiotemporal Gait Parameters That Predict Gait Function Based on Timed Up and Go Test Performance in the Hemiplegic Stroke Patients

  • Kim, Jeong-Soo (Dept. of Physical Therapy, Seoul Rehabilitation Hospital) ;
  • Kim, Jeong-Ah (Dept. of Physical Therapy, The Graduate School, Yonsei University) ;
  • Jeon, Hye-Seon (Dept. of Physical Therapy, College of Health Science, Yonsei University) ;
  • Yu, Kyung-Hoon (Dept. of Physical Therapy, The Graduate School, Yonsei University)
  • 투고 : 2013.09.18
  • 심사 : 2013.10.20
  • 발행 : 2013.11.19
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초록

The purpose of this study was to determine which spatiotemporal gait parameters obtained during hemiplegic walking could be a predictive factor for the Timed Up and Go test (TUG). Two hundreds nine subjects who had suffered a stroke were recruited for this study. They were participated in two assessments; the TUG test and gait analysis. The relationship between the TUG test and spatiotemporal parameters was analyzed using Pearson's correlation coefficients. In addition, to predict the spatiotemporal gait parameters that correlated most with the TUG scores, we used multiple linear regression analyses (stepwise method). The results show that the normalized velocity was strongly correlated with the TUG performance (r=-.72, p<.001). Additionally, single support percentage (SSP), double support percentage (DSP), step time difference (STD), and step length difference (SLD) significantly were correlated with the TUG test. Normalized velocity, STD, DSP of affected side, and SSP of non-affected side explained 53%, 8%, 3%, 2%, of variance in the TUG test respectively. In conclusion, an increase in gait velocity and a decrease in STD would be effective indicators of improvement on the functional mobility in the stroke rehabilitation.

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참고문헌

  1. Alzahrani MA, Dean CM, Ada L. Ability to negotiate stairs predicts free-living physical activity in community-dwelling people with stroke: An observational study. Aust J Physiother. 2009;55(4): 277-281. https://doi.org/10.1016/S0004-9514(09)70008-X
  2. An SH, Park CS, Lee HJ. Correlation between balance, walking test and functional performance in stroke patients: BBS, TUG, Fugl-Meyer, MAS-G, C.MGS, and MBI. Phys Ther Kor. 2007;14(3):64-71.
  3. Dettmann MA, Linder MT, Sepic SB. Relationships among walking performance, postural stability, and functional assessments of the hemiplegic patient. Am J Phys Med. 1987;66(2):77-90.
  4. Dewar ME, Judge G. Temporal asymmetry as a gait quality indicator. Med Biol Eng Comput. 1980; 18(5):689-693. https://doi.org/10.1007/BF02443147
  5. Dickstein R. Rehabilitation of gait speed after stroke: A critical review of intervention approaches. Neurorehabil Neural Repair. 2008;22(6):649-660. https://doi.org/10.1177/15459683080220060201
  6. Faria CD, Teixeira-Salmela LF, Nadeau S. Effects of the direction of turning on the timed up & go test with stroke subjects. Top Stroke Rehabil. 2009;16(3):196-206. https://doi.org/10.1310/tsr1603-196
  7. Folstein MF, Folstein SE, McHugh PR. "Mini-mental state". A practical method for grading the cognitive state of patients for the clinician. J Psychiatr Res. 1975;12(3):189-198. https://doi.org/10.1016/0022-3956(75)90026-6
  8. Knorr S, Brouwer B, Garland SJ. Validity of the community balance and mobility scale in community-dwelling persons after stroke. Arch Phys Med Rehabil. 2010;91(6):890-896. https://doi.org/10.1016/j.apmr.2010.02.010
  9. Menz HB, Latt MD, Tiedemann A, et al. Reliability of the GAITRite walkway system for the quantification of temporo-spatial parameters of gait in young and older people. Gait Posture. 2004; 20(1):20-25. https://doi.org/10.1016/S0966-6362(03)00068-7
  10. Ng SS, Hui-Chan CW. The timed up & go test: Its reliability and association with lower-limb impairments and locomotor capacities in people with chronic stroke. Arch Phys Med Rehabil. 2005;86(8):1641-1647. https://doi.org/10.1016/j.apmr.2005.01.011
  11. Oken O, Yavuzer G. Spatio-temporal and kinematic asymmetry ratio in subgroups of patients with stroke. Eur J Phys Rehabil Med. 2008;44(2): 127-132.
  12. Patterson KK, Gage WH, Brooks D, et al. Evaluation of gait symmetry after stroke: A comparison of current methods and recommendations for standardization. Gait Posture. 2010;31(2):241-246. https://doi.org/10.1016/j.gaitpost.2009.10.014
  13. Patterson KK, Parafianowicz I, Danells CJ, et al. Gait asymmetry in community-ambulating stroke survivors. Arch Phys Med Rehabil. 2008;89(2): 304-310. https://doi.org/10.1016/j.apmr.2007.08.142
  14. Podsiadlo D, Richardson S. The timed "up & go": A test of basic functional mobility for frail elderly persons. J Am Geriatr Soc. 1991;39(2):142-148.
  15. Rinaldi LA, Monaco V. Spatio-temporal parameters and intralimb coordination patterns describing hemiparetic locomotion at controlled speed. J Neuroeng Rehabil. 2013;10(1):53. https://doi.org/10.1186/1743-0003-10-53
  16. Schmid A, Duncan PW, Studenski S, et al. Improvements in speed-based gait classifications are meaningful. Stroke. 2007;38(7):2096-2100. https://doi.org/10.1161/STROKEAHA.106.475921
  17. Stokic DS, Horn TS, Ramshur JM, et al. Agreement between temporospatial gait parameters of an electronic walkway and a motion capture system in healthy and chronic stroke populations. Am J Phys Med Rehabil. 2009;88(6):437-444. https://doi.org/10.1097/PHM.0b013e3181a5b1ec
  18. Wilkinson PR, Wolfe CD, Warburton FG, et al. A long-term follow-up of stroke patients. Stroke. 1997;28(3):507-512. https://doi.org/10.1161/01.STR.28.3.507