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      Psychometric Evaluation of the Narrow Corridor Walk Test (NCWT) on Advanced Walking Balance in People with Stroke

      research-article
      1 , 2 , 1 , 3 ,
      BioMed Research International
      Hindawi

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          Abstract

          Objectives

          To investigate (i) the interrater and test-retest reliabilities of completion time and number of steps in the Narrow Corridor Walking Test (NCWT); (ii) the minimal detectable changes (MDCs) in NCWT results; (iii) the correlations between NCWT results and stroke-specific outcome measures; and (iv) the optimal cut-off values of NCWT results for discriminating the difference in advanced balance ability between people with stroke and healthy older adults.

          Design

          Cross-sectional.

          Subjects

          Thirty people with stroke and 30 healthy older adults.

          Methods

          People with stroke completed the NCWT on two separate days with a 7- to 10-day interval. The Fugl-Meyer Assessment (FMA), ankle dorsiflexor and plantarflexor muscle strength, Berg Balance Scale (BBS), Timed Up and Go (TUG) test, and the Chinese version of the Community Integration Measure (CIM) were used to assess. The healthy older adults completed the NCWT once.

          Results

          The NCWT completion time and NCWT steps showed excellent interrater reliability and test-retest reliability and significant correlations with FMA, affected ankle dorsiflexor muscle strength, BBS score, and TUG completion time. A cut-off value of 7.40 s for NCWT completion time and 13.33 for the NCWT steps distinguished people with stroke from healthy older adults. The MDCs of the NCWT completion time and NCWT steps were 6.87 s and 5.50, respectively.

          Conclusion

          The NCWT is a reliable clinical measurement tool for the assessment of advanced balance ability in people with stroke.

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          Most cited references46

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          World Medical Association Declaration of Helsinki: ethical principles for medical research involving human subjects.

          (2013)
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            Correlation Coefficients

            Correlation in the broadest sense is a measure of an association between variables. In correlated data, the change in the magnitude of 1 variable is associated with a change in the magnitude of another variable, either in the same (positive correlation) or in the opposite (negative correlation) direction. Most often, the term correlation is used in the context of a linear relationship between 2 continuous variables and expressed as Pearson product-moment correlation. The Pearson correlation coefficient is typically used for jointly normally distributed data (data that follow a bivariate normal distribution). For nonnormally distributed continuous data, for ordinal data, or for data with relevant outliers, a Spearman rank correlation can be used as a measure of a monotonic association. Both correlation coefficients are scaled such that they range from -1 to +1, where 0 indicates that there is no linear or monotonic association, and the relationship gets stronger and ultimately approaches a straight line (Pearson correlation) or a constantly increasing or decreasing curve (Spearman correlation) as the coefficient approaches an absolute value of 1. Hypothesis tests and confidence intervals can be used to address the statistical significance of the results and to estimate the strength of the relationship in the population from which the data were sampled. The aim of this tutorial is to guide researchers and clinicians in the appropriate use and interpretation of correlation coefficients.
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              Performance-oriented assessment of mobility problems in elderly patients.

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                Author and article information

                Contributors
                Journal
                Biomed Res Int
                Biomed Res Int
                BMRI
                BioMed Research International
                Hindawi
                2314-6133
                2314-6141
                2022
                19 November 2022
                : 2022
                : 1436715
                Affiliations
                1Department of Rehabilitation Sciences, The Hong Kong Polytechnic University, Kowloon, Hong Kong SAR, China
                2School of Nursing & Health Studies, Hong Kong Metropolitan University, Kowloon, Hong Kong SAR, China
                3Research Centre for Chinese Medicine Innovation, The Hong Kong Polytechnic University, Kowloon, Hong Kong SAR, China
                Author notes

                Academic Editor: Ali Khani jeihooni

                Author information
                https://orcid.org/0000-0002-2290-1497
                https://orcid.org/0000-0002-7860-8089
                https://orcid.org/0000-0003-1660-0548
                Article
                10.1155/2022/1436715
                9701127
                36444219
                df59e7c1-49ea-444a-aa41-de844330b203
                Copyright © 2022 Longjun Ren et al.

                This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                : 11 August 2022
                : 27 October 2022
                : 31 October 2022
                Funding
                Funded by: Hong Kong Polytechnic University
                Award ID: P0041139
                Categories
                Research Article

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