Psychometric properties of the timed backward walk test in people with stroke

Authors

  • Yu Qin Department of Rehabilitation Sciences, The Hong Kong Polytechnic University, Hong Kong SAR, China
  • Siyue Li Department of Rehabilitation Sciences, The Hong Kong Polytechnic University, Hong Kong SAR, China
  • Peiming Chen Department of Rehabilitation Sciences, The Hong Kong Polytechnic University, Hong Kong SAR, China
  • Thomson W.L. Wong Department of Rehabilitation Sciences, The Hong Kong Polytechnic University, Hong Kong SAR, China
  • Cynthia Y.Y. Lai Department of Rehabilitation Sciences, The Hong Kong Polytechnic University, Hong Kong SAR, China
  • Shamay S.M. Ng ProfessorDepartment of Rehabilitation Sciences, The Hong Kong Polytechnic University, Hong Kong SAR, China

DOI:

https://doi.org/10.2340/jrm.v58.46292

Keywords:

gait, postural balance, Psychometrics, rehabilitation, stroke, walking

Abstract

Objective: To examine the psychometric properties of the Timed Backward Walk test in people with stroke.

Design: Cross-sectional study.

Subjects: 60 people with stroke and 30 healthy adults aged 55 years and older.

Methods: Participants performed the Timed Backward Walk test and standard clinical assessments. Discriminative validity was evaluated using receiver operating characteristic curve. Reliability (one-week test–retest, inter-rater, intra-rater) was assessed using intraclass correlation coefficients. Construct validity was examined through correlations with motor function, strength, balance, and gait measures.

Results: People with chronic stroke took significantly longer to complete the test than healthy adults (p < 0.001), with an area under the curve of 0.968 and an optimal cut-off of 7.22 s. Test–retest, inter-rater, and intra-rater reliability were all excellent. The standard error of measurement was 1.62 s and the minimal detectable change was 4.49 s. The complete time showed strong positive correlations with functional mobility and gait speed measures (ρ = 0.840–0.897) and moderate negative correlations with balance, lower-limb motor function, and ankle dorsiflexor strength (ρ = –0.408 to –0.647).

The Timed Backward Walk test demonstrated excellent reliability, discriminative validity, and construct validity in people with chronic stroke. It is a feasible and sensitive complement to forward gait assessments.

Downloads

Download data is not yet available.

References

Wang J, Xu J, An R. Effectiveness of backward walking training on balance performance: a systematic review and meta-analysis. Gait Posture 2019; 68: 466–475. DOI: https://doi.org/10.1016/j.gaitpost.2019.01.002

Hoogkamer W, Meyns P, Duysens J. Steps forward in understanding backward gait: from basic circuits to rehabilitation. Exerc Sport Sci Rev 2014; 42: 23–29. DOI: https://doi.org/10.1249/JES.0000000000000000

Yang YR, Yen JG, Wang RY, Yen LL, Lieu FK. Gait outcomes after additional backward walking training in patients with stroke: a randomized controlled trial. Clin Rehabil 2005; 19: 264–273. DOI: https://doi.org/10.1191/0269215505cr860oa

Beyaert C, Vasa R, Frykberg GE. Gait post-stroke: pathophysiology and rehabilitation strategies. Neurophysiol Clin 2015; 45: 335–355. DOI: https://doi.org/10.1016/j.neucli.2015.09.005

Langhorne P, Bernhardt J, Kwakkel G. Stroke rehabilitation. Lancet 2011; 377: 1693–1702. DOI: https://doi.org/10.1016/S0140-6736(11)60325-5

Edwards EM, Kegelmeyer DA, Kloos AD, Nitta M, Raza D, Nichols-Larsen DS, et al. Backward walking and dual-task assessment improve identification of gait impairments and fall risk in individuals with MS. Mult Scler Int 2020; 2020: 6707414. DOI: https://doi.org/10.1155/2020/6707414

Hackney ME, Earhart GM. Backward walking in Parkinson’s disease. Mov Disord 2009; 24: 218–223. DOI: https://doi.org/10.1002/mds.22330

Graham JE, Ostir GV, Fisher SR, Ottenbacher KJ. Assessing walking speed in clinical research: a systematic review. J Eval Clin Pract 2008; 14: 552–562. DOI: https://doi.org/10.1111/j.1365-2753.2007.00917.x

Bansal K, Vistamehr A, Conroy CL, Fox EJ, Rose DK. The influence of backward versus forward locomotor training on gait speed and balance control post-stroke: recovery or compensation? J Biomech 2023; 155: 111644. DOI: https://doi.org/10.1016/j.jbiomech.2023.111644

Bowden MG, Balasubramanian CK, Neptune RR, Kautz SA. Anterior-posterior ground reaction forces as a measure of paretic leg contribution in hemiparetic walking. Stroke 2006; 37: 872–876. DOI: https://doi.org/10.1161/01.STR.0000204063.75779.8d

Patterson KK, Parafianowicz I, Danells CJ, Closson V, Verrier MC, Staines WR, et al. Gait asymmetry in community-ambulating stroke survivors. Arch Phys Med Rehabil 2008; 89: 304–310. DOI: https://doi.org/10.1016/j.apmr.2007.08.142

Fulk GD, Reynolds C, Mondal S, Deutsch JE. Predicting home and community walking activity in people with stroke. Arch Phys Med Rehabil 2010; 91: 1582–1586. DOI: https://doi.org/10.1016/j.apmr.2010.07.005

Abit Kocaman A, Aydogan Arslan S, Ugurlu K, Katirci Kirmaci ZI, Keskin ED. Validity and reliability of the 3-Meter Backward Walk Test in individuals with stroke. J Stroke Cerebrovasc Dis 2021; 30: 105462. DOI: https://doi.org/10.1016/j.jstrokecerebrovasdis.2020.105462

DeMark LA, Fox EJ, Manes MR, Conroy C, Rose DK. The 3-Meter Backward Walk Test (3MBWT): reliability and validity in individuals with subacute and chronic stroke. Physiother Theory Pract 2023; 39: 2698–2705. DOI: https://doi.org/10.1080/09593985.2022.2085638

Krumpoch S, Lindemann U, Rappl A, Becker C, Sieber CC, Freiberger E. The effect of different test protocols and walking distances on gait speed in older persons. Aging Clin Exp Res 2021; 33: 141–146. DOI: https://doi.org/10.1007/s40520-020-01703-z

von Elm E, Altman DG, Egger M, Pocock SJ, Gotzsche PC, Vandenbroucke JP, et al. The Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) statement: guidelines for reporting observational studies. Lancet 2007; 370: 1453–1457. DOI: https://doi.org/10.1016/S0140-6736(07)61602-X

Mokkink LB, Terwee CB, Patrick DL, Alonso J, Stratford PW, Knol DL, et al. The COSMIN checklist for assessing the methodological quality of studies on measurement properties of health status measurement instruments: an international Delphi study. Qual Life Res 2010; 19: 539–549. DOI: https://doi.org/10.1007/s11136-010-9606-8

Hodkinson HM. Evaluation of a mental test score for assessment of mental impairment in the elderly. Age Ageing 1972; 1: 233–238. DOI: https://doi.org/10.1093/ageing/1.4.233

Fugl-Meyer AR, Jaasko L, Leyman I, Olsson S, Steglind S. The post-stroke hemiplegic patient. 1. a method for evaluation of physical performance. Scand J Rehabil Med 1975; 7: 13–31. DOI: https://doi.org/10.2340/1650197771331

Berg KO, Wood-Dauphinee SL, Williams JI, Maki B. Measuring balance in the elderly: validation of an instrument. Can J Public Health 1992; 83: S7–11.

Pickerill ML, Harter RA. Validity and reliability of limits-of-stability testing: a comparison of 2 postural stability evaluation devices. J Athl Train 2011; 46: 600–606. DOI: https://doi.org/10.4085/1062-6050-46.6.600

Ford-Smith CD, Wyman JF, Elswick RK Jr, Fernandez T, Newton RA. Test–retest reliability of the sensory organization test in noninstitutionalized older adults. Arch Phys Med Rehabil 1995; 76: 77–81. DOI: https://doi.org/10.1016/S0003-9993(95)80047-6

Watson MJ. Refining the ten-metre walking test for use with neurologically impaired people. Physiotherapy 2002; 88: 386–397. DOI: https://doi.org/10.1016/S0031-9406(05)61264-3

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: 1641–1647. DOI: https://doi.org/10.1016/j.apmr.2005.01.011

Ng SSM, Ho LYW, Chan NH, Liu TW, So B. Psychometric properties of the Chinese version of the Oxford participation and activities questionnaire in people with stroke. Int J Environ Res Public Health 2022; 19. DOI: https://doi.org/10.3390/ijerph192315450

Mandrekar JN. Receiver operating characteristic curve in diagnostic test assessment. J Thorac Oncol 2010; 5: 1315–1316. DOI: https://doi.org/10.1097/JTO.0b013e3181ec173d

Koo TK, Li MY. A guideline of selecting and reporting intraclass correlation coefficients for reliability research. J Chiropr Med 2016; 15: 155–163. DOI: https://doi.org/10.1016/j.jcm.2016.02.012

Weir JP. Quantifying test–retest reliability using the intraclass correlation coefficient and the SEM. J Strength Cond Res 2005; 19: 231–240. DOI: https://doi.org/10.1519/00124278-200502000-00038

Schober P, Boer C, Schwarte LA. Correlation coefficients: appropriate use and interpretation. Anesth Analg 2018; 126: 1763–1768. DOI: https://doi.org/10.1213/ANE.0000000000002864

Li S. Spasticity, motor recovery, and neural plasticity after stroke. Front Neurol 2017; 8: 120. DOI: https://doi.org/10.3389/fneur.2017.00120

Bowden MG, Clark DJ, Kautz SA. Evaluation of abnormal synergy patterns poststroke: relationship of the Fugl-Meyer Assessment to hemiparetic locomotion. Neurorehabil Neural Repair 2010; 24: 328–337. DOI: https://doi.org/10.1177/1545968309343215

Proske U, Gandevia SC. The proprioceptive senses: their roles in signaling body shape, body position and movement, and muscle force. Physiol Rev 2012; 92: 1651–1697. DOI: https://doi.org/10.1152/physrev.00048.2011

Cullen KE. Vestibular processing during natural self-motion: implications for perception and action. Nat Rev Neurosci 2019; 20: 346–363. DOI: https://doi.org/10.1038/s41583-019-0153-1

Grasso R, Bianchi L, Lacquaniti F. Motor patterns for human gait: backward versus forward locomotion. J Neurophysiol 1998; 80: 1868–1885. DOI: https://doi.org/10.1152/jn.1998.80.4.1868

World Health Organization. International Classification of Functioning, Disability and Health: ICF. Geneva: World Health Organization; 2001.

Downloads

Additional Files

Published

2026-10-12

How to Cite

Qin, Y., Li, S., Chen, P., Wong, T. W., Lai, C. Y., & Ng, S. S. (2026). Psychometric properties of the timed backward walk test in people with stroke. Journal of Rehabilitation Medicine, 58, jrm46292. https://doi.org/10.2340/jrm.v58.46292

Issue

Section

Original Report

Categories