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Research Article| Volume 29, ISSUE 4, 104603, April 2020

Utility of Dynamic Balance Measurements in Discriminating Community Ambulation Levels Among Individuals with Stroke: A Cross-sectional Study

      Abstract

      Objective: To examine the association between dynamic balance measurements and community ambulation levels among individuals with chronic stroke. Methods: This cross-sectional study was performed in 2-day care facilities for older adults located in urban areas. Forty-seven community-dwelling poststroke adults who could walk independently were participated. Community ambulation performance was assessed using the Functional Ambulation Classification of the Hospital at Sagunto (FACHS). Dynamic balance and mobility were measured with the Mini-Balance Evaluation Systems Test (Mini-BESTest), the Timed Up and Go (TUG) test, and 10 m maximum walking speed. Results: Participants were classified into 3 groups according to FACHS scores: household (n = 15), neighborhood (n = 19), and community walkers (n = 13). Neighborhood and community walkers scored significantly higher on the Mini-BESTest and had a shorter TUG test time than household walkers. Community walkers had a significantly faster walking speed than household walkers, whereas neighborhood walkers did not have a faster walking speed than household walkers. Ordinal logistic regression analyses revealed the Mini-BESTest score (odds ratio [OR] 1.24; 95% confidence interval [CI]: 1.07-1.44) and the TUG test time (OR .91; 95% CI: .85-.98) were significantly associated with ambulation levels after adjusting for confounders. Conclusions: Dynamic balance measurement tools may have better responsiveness in detecting community ambulation levels among individuals with chronic stroke than walking speed.

      Key Words

      Abbreviations:

      BRS (Brunnstrom Recovery Stage), CI (confidence interval), FACHS (Functional Ambulation Classification of the Hospital at Sagunto), Mini-BESTest (Mini-Balance Evaluation Systems Test), OR (odds ratio), TUG (Timed Up and Go)
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      References

      1. Mather CD FD, Boerma JThe global burden of disease. 20082004. Available from: URL: http://www.who.int/healthinfo/global_burden_disease/GBD_report_2004update_full.pdf.

      2. Ministry of Health LaW, Government of Japan [Internet]. Summary report of comprehensive survey of living conditions in 2013–2014 [cited 2017 Mar 28]. Available from: URL:http://www.mhlw.go.jp/english/database/db-hss/cslc-tables.html.

        • Kwakkel G
        • Kollen BJ
        Predicting activities after stroke: what is clinically relevant?.
        Int J Stroke. 2013; 8: 25-32
        • Joa KL
        • Kwon SY
        • Choi JW
        • et al.
        Classification of walking ability of household walkers versus community walkers based on K-BBS, gait velocity and upright motor control.
        Eur J Phys Rehabil Med. 2015; 51: 619-625
        • 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: 234-239
        • Perry J
        • Garrett M
        • Gronley JK
        • et al.
        Classification of walking handicap in the stroke population.
        Stroke. 1995; 26: 982-989
        • Viosca E
        • Martinez JL
        • Almagro PL
        • et al.
        Proposal and validation of a new functional ambulation classification scale for clinical use.
        Arch Phys Med Rehabil. 2005; 86: 1234-1238
        • Rantakokko M
        • Manty M
        • Iwarsson S
        • et al.
        Fear of moving outdoors and development of outdoor walking difficulty in older people.
        J Am Geriatr Soc. 2009; 57: 634-640
        • Kerr J
        • Sallis JF
        • Saelens BE
        • et al.
        Outdoor physical activity and self rated health in older adults living in two regions of the U.S.
        Int J Behav Nutr Phys Act. 2012; 9: 89
        • 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: 23-27
        • Lord SE
        • Rochester L
        Measurement of community ambulation after stroke: current status and future developments.
        Stroke. 2005; 36: 1457-1461
        • Patla AE
        • Shumway-Cook A
        Dimensions of mobility: defining the complexity and difficulty associated with community mobility.
        J Aging Phys. 1999; 7: 7-19
        • Pollock C
        • Eng J
        • Garland S
        Clinical measurement of walking balance in people post stroke: a systematic review.
        Clin Rehabil. 2011; 25: 693-708
        • Pfeiffer E
        A short portable mental status questionnaire for the assessment of organic brain deficit in elderly patients.
        J Am Geriatr Soc. 1975; 23: 433-441
        • Franchignoni F
        • Horak F
        • Godi M
        • et al.
        Using psychometric techniques to improve the Balance Evaluation Systems Test: the mini-BESTest.
        J Rehabil Med. 2010; 42: 323-331
        • Horak FB
        • Wrisley DM
        • Frank J
        The Balance Evaluation Systems Test (BESTest) to differentiate balance deficits.
        Phys Ther. 2009; 89: 484-498
        • Tsang CS
        • Liao LR
        • Chung RC
        • et al.
        Psychometric properties of the Mini-Balance Evaluation Systems Test (Mini-BESTest) in community-dwelling individuals with chronic stroke.
        Phys Ther. 2013; 93: 1102-1115
        • Podsiadlo D
        • Richardson S
        The timed “Up & Go”: a test of basic functional mobility for frail elderly persons.
        J Am Geriatr Soc. 1991; 39: 142-148
        • 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
        • 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: 535-540
        • Durcan S
        • Flavin E
        • Horgan F
        Factors associated with community ambulation in chronic stroke.
        Disabil Rehabil. 2016; 38: 245-249
        • Lee KB
        • Lim SH
        • Ko EH
        • et al.
        Factors related to community ambulation in patients with chronic stroke.
        Top Stroke Rehabil. 2015; 22: 63-71
        • 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: 890-896
        • Godi M
        • Franchignoni F
        • Caligari M
        • et al.
        Comparison of reliability, validity, and responsiveness of the mini-BESTest and Berg Balance Scale in patients with balance disorders.
        Phys Ther. 2013; 93: 158-167
        • Padgett PK
        • Jacobs JV
        • Kasser SL
        Is the BESTest at its best? A suggested brief version based on interrater reliability, validity, internal consistency, and theoretical construct.
        Phys Ther. 2012; 92: 1197-1207
        • Pang MY
        • Eng JJ
        • Miller WC
        Determinants of satisfaction with community reintegration in older adults with chronic stroke: role of balance self-efficacy.
        Phys Ther. 2007; 87: 282-291
        • Vahlberg B
        • Cederholm T
        • Lindmark B
        • et al.
        Factors related to performance-based mobility and self-reported physical activity in individuals 1-3 years after stroke: a cross-sectional cohort study.
        J Stroke Cerebrovasc Dis. 2013; 22: e426-e434
        • Barclay R
        • Ripat J
        • Mayo N
        Factors describing community ambulation after stroke: a mixed-methods study.
        Clin Rehabil. 2015; 29: 509-521
        • Ferreira MS
        • Chamlian TR
        • Franca CN
        • et al.
        Non-motor factors associated with the attainment of community ambulation after stroke.
        Clin Med Res. 2015; 13: 58-64
        • Rantakokko M
        • Iwarsson S
        • Vahaluoto S
        • et al.
        Perceived environmental barriers to outdoor mobility and feelings of loneliness among community-dwelling older people.
        J Gerontol Biol Sci Med Sci. 2014; 69: 1562-1568