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http://dx.doi.org/10.26862/jkpts.2020.09.27.2.25

Discriminant and predictive validity of TUG, F8WT, FSST, ST for community walking levels in chronic stroke survivors  

Lee, DongGeon (Department of Physical Therapy, Shinsegae Geriatric hospital)
An, SeungHeon (Department of Physical Therapy, National Rehabilitation Center)
Lee, GyuChang (Department of Physical Therapy, Kyungnam University)
Publication Information
Journal of Korean Physical Therapy Science / v.27, no.2, 2020 , pp. 25-35 More about this Journal
Abstract
Background: There are many situations where walking in an actual community needs to change direction along with walking on a straight path, and this situation needs to be reflected in assessing walking ability of the community. Therefore, in this study, we tried to determine whether the assessments can distinguish the level of walking in the community. Design: Retrospective cohort study. Methods: Fifty-two survivors with chronic stroke have participated in the study. According to the evaluation result of 10mWT, the subjects of 0.8m/s and above were classified as the group who could walk in the community (n=22), and the subjects of 0.4m/s~0.8m/s were classified into the group who could not walk in the community (n=30). Modified Rivermead Mobility Index, Postural Assessment Scale for Stroke, Fugl-Meyer Assessment, Berg Balance Scale, 10-meter Walk Test (10mWT) were used to evaluate the motor skills. Furthermore, Activities-specific Balance Confidence Scale was used to evaluate psychological factors, and Timed Up & Go Test (TUG), Figure-of-Eight Walk Test (F8WT), Four Square Step Test (FSST), Step Test (ST) were applied to evaluate dynamic balance and mobility. Results: As a result for distinguishing walking levels in the community, TUG was 14.25 seconds, F8WT was 13.34 seconds, FST was 19.43 seconds, and ST of affected side and non-affected side were 6.5 points and 7.5 points, respectively. TUG (AUC=0.923), F8WT (AUC=0.905), and FST (AUC=0.941) were highly accurate, but the ST of affected side and non-affected side (AUC=0.806, 0.705) showed the accuracy of the median degree, respectively. Conclusion: To distinguish walking levels in the community of survivors with chronic stroke, TUG and FSST have been found to be the best assessment tool, and in particular, FSST could be very valuable in clinical use as the most important assessment tool to distinguish walking levels in the community.
Keywords
Chronic stroke; Community walking; Discriminant Validity; Predictive Validity;
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Times Cited By KSCI : 2  (Citation Analysis)
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1 김성철, 허영구. 편마비 환자의 트레드밀과 체중지지의 트레드밀 훈련이 균형능력 및 보행능력에 미치는 영향. 대한물리치료과학회지 2018;25(1):31-43.   DOI
2 Benaim C, Perennou DA, Villy J, et al. Validation of a standardized assessment of postural control in stroke patients: the Postural Assessment Scale for Stroke Patients (PASS). Stroke 1999;30(9):1862-8.   DOI
3 Berg KO, Maki BE, Williams JI, et al. Clinical and laboratory measures of postural balance in an elderly population. Arch Phys Med Rehabil 1992;73(11):1073-80.
4 Bijleveld-Uitman M, van de Port I, Kwakkel G. Is gait speed or walking distance a better predictor for community walking after stroke? J Rehabil Med 2013;45(6):535-40.   DOI
5 Shumway-Cook A, Patla AE, Stewart A, et al. Environmental demands associated with community mobility in older adults with and without mobility disabilities. Phys Ther 2002;82(7):670-81.   DOI
6 Rosa MC, Marques A, Demain S, et al. Fast gait speed and self-perceived balance as valid predictors and discriminators of independent community walking at 6 months post-stroke--a preliminary study. Disabil Rehabil 2015;37(2):129-34.   DOI
7 Salbach NM, Mayo NE, Higgins J, et al. Responsiveness and predictability of gait speed and other disability measures in acute stroke. Arch Phys Med Rehabil 2001;82(9):1204-12.   DOI
8 Segal AD, Orendurff MS, Czerniecki JM, et al. Local dynamic stability in turning and straight-line gait. J Biomech 2008;41(7):1486-93.   DOI
9 Tsang RC, Chau RM, Cheuk TH, et al. The measurement properties of modified Rivermead mobility index and modified functional ambulation classification as outcome measures for Chinese stroke patients. Physiother Theory Pract 2014;30(5):353-9.   DOI
10 van de Port IG, Kwakkel G, Lindeman E. Community ambulation in patients with chronic stroke: how is it related to gait speed? J Rehabil Med 2008;40(1):23-7.   DOI
11 Wong SS, Yam MS, Ng SS. The Figure-of-Eight Walk test: reliability and associations with stroke-specific impairments. Disabil Rehabil 2013;35(22):1896-902.   DOI
12 Duncan PW, Propst M, Nelson SG. Reliability of the Fugl-Meyer assessment of sensorimotor recovery following cerebrovascular accident. Phys Ther 1983;63(10):1606-10.   DOI
13 Blennerhassett JM, Jayalath VM. The Four Square Step Test is a feasible and valid clinical test of dynamic standing balance for use in ambulant people poststroke. Arch Phys Med Rehabil 2008;89(11):2156-61.   DOI
14 Courtine G, Schieppati M. Human walking along a curved path. I. Body trajectory, segment orientation and the effect of vision. Eur J Neurosci. 2003;18(1):177-90.   DOI
15 Dite W, Temple VA. A clinical test of stepping and change of direction to identify multiple falling older adults. Arch Phys Med Rehabil 2002;83(11):1566-71.   DOI
16 Flansbjer UB, Holmback AM, Downham D, et al. Reliability of gait performance tests in men and women with hemiparesis after stroke. J Rehabil Med 2005;37(2):75-82.   DOI
17 Fugl-Meyer AR, Jaasko L, Leyman I, et al. The post-stroke hemiplegic patient. 1. a method for evaluation of physical performance. Scand J Rehabil Med 1975;7(1):13-31.
18 Fulk GD, Reynolds C, Mondal S, et al. Predicting home and community walking activity in people with stroke. Arch Phys Med Rehabil 2010;91(10):1582-6.   DOI
19 Fulk GD, He Y, Boyne P, et al. Predicting Home and Community Walking Activity Poststroke. Stroke 2017;48(2):406-411.   DOI
20 Goh EY, Chua SY, Hong SJ, et al. Reliability and concurrent validity of Four Square Step Test scores in subjects with chronic stroke: a pilot study. Arch Phys Med Rehabil 2013;94(7):1306-11.   DOI
21 Greiner M, Pfeiffer D, Smith RD. Principles and practical application of the receiver-operating characteristic analysis for diagnostic tests. Prev Vet Med 2000;45(1-2):23-41.   DOI
22 Lennon S, Johnson L. The modified rivermead mobility index: validity and reliability. Disabil Rehabil 2000;22(18): 833-9.   DOI
23 Hill KD, Berhardt J, McGann AM, et al. A new test of dynamic standing balance for stroke patients: reliability, validity and comparison with healthy elderly. Physiother Can 1996;48:257-62.   DOI
24 Hong SJ, Goh EY, Chua SY, Ng SS. Reliability and validity of step test scores in subjects with chronic stroke. Arch Phys Med Rehabil 2012;93(6):1065-71.   DOI
25 Kirschbaum JB, Axelson PW, Longmuir PE, et al. Pedestrian crossings. In: Designing sidewalks and trails for access. Part II: best practices design guide. Washington (DC): U.S. Department of Transportation: Federal Highway Administration; 2001.
26 Lerner-Frankiel M, Vargas S, Brown M, et al. Functional community ambulation: what are your criteria? Clin Manage 1986;6:12-5.
27 Liaw LJ, Hsieh CL, Lo SK, et al. The relative and absolute reliability of two balance performance measures in chronic stroke patients. Disabil Rehabil 2008;30(9):656-61.   DOI
28 Lord SE, McPherson K, McNaughton HK, et al. Community ambulation after stroke: how important and obtainable is it and what measures appear predictive? Arch Phys Med Rehabil 2004;85(2):234-9.   DOI
29 Lord SE, Rochester L. Measurement of community ambulation after stroke: current status and future developments. Stroke 2005;36(7):1457-61.   DOI
30 Perry J, Garrett M, Gronley JK, Mulroy SJ. Classification of walking handicap in the stroke population. Stroke 1995;26(6):982-9.   DOI
31 Powell LE, Myers AM. The Activities-specific Balance Confidence (ABC) Scale. J Gerontol A Biol Sci Med Sci 1995;50A(1):M28-34.