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      Development and validation of Comprehensive Gait Assessment using InerTial Sensor score (C-GAITS score) derived from acceleration and angular velocity data at heel and lower trunk among community-dwelling older adults

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          Abstract

          Background

          Although some gait parameters from inertial sensors have been shown to be associated with important clinical issues, because of controversial results, it remains uncertain which parameters for which axes are clinically valuable. Following the idea that a comprehensive score obtained by summing various gait parameters would sensitively reflect declines in gait performance, we developed a scoring method for community-dwelling older adults, the Comprehensive Gait Assessment using InerTial Sensor score (C-GAITS score). The aim of this study was to examine the internal consistency and the construct validity of this method.

          Methods

          In this cross-sectional study, the gait performance of 378 community-dwelling older people (mean age = 71.7 ± 4.2 years, 210 women) was assessed using inertial sensors attached to the heel and lower trunk. Participants walked along a 15-m walkway, and accelerations, angular velocity, and walking time were measured. From these data, walking speed, mean stride time, coefficients of variation of stride time and swing time, and autocorrelation coefficients and harmonic ratios of acceleration in vertical, mediolateral, and anteroposterior directions at the lower trunk were calculated. Scoring was performed based on quartile by gender (i.e., scored from 0 to 3) for each of the 10 gait parameters. The C-GAITS score was the sum of these scores (range: 0–30). Lower extremity strength, balance function, fall history, and fear of falling were also assessed.

          Results

          An exploratory factor analysis revealed that the C-GAITS score yielded four distinct factors explaining 57.1% of the variance. The Cronbach’s alpha coefficient was 0.77. A single linear regression analysis showed a significant relationship between total C-GAITS score and walking speed (adjusted R 2 = 0.28). Results from bivariate comparisons using unpaired t-tests showed that the score was significantly related to age ( p = 0.002), lower extremity strength ( p = 0.007), balance function ( p <  0.001), fall history ( p = 0.04), and fear of falling ( p <  0.001).

          Conclusions

          Good internal consistency and appropriate construct validity of the C-GAITS score were confirmed among community-dwelling older adults. The score might be useful in clinical settings because of ease of use and interpretation and capability of capturing functional decline.

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          Most cited references32

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          Gait variability: methods, modeling and meaning

          The study of gait variability, the stride-to-stride fluctuations in walking, offers a complementary way of quantifying locomotion and its changes with aging and disease as well as a means of monitoring the effects of therapeutic interventions and rehabilitation. Previous work has suggested that measures of gait variability may be more closely related to falls, a serious consequence of many gait disorders, than are measures based on the mean values of other walking parameters. The Current JNER series presents nine reports on the results of recent investigations into gait variability. One novel method for collecting unconstrained, ambulatory data is reviewed, and a primer on analysis methods is presented along with a heuristic approach to summarizing variability measures. In addition, the first studies of gait variability in animal models of neurodegenerative disease are described, as is a mathematical model of human walking that characterizes certain complex (multifractal) features of the motor control's pattern generator. Another investigation demonstrates that, whereas both healthy older controls and patients with a higher-level gait disorder walk more slowly in reduced lighting, only the latter's stride variability increases. Studies of the effects of dual tasks suggest that the regulation of the stride-to-stride fluctuations in stride width and stride time may be influenced by attention loading and may require cognitive input. Finally, a report of gait variability in over 500 subjects, probably the largest study of this kind, suggests how step width variability may relate to fall risk. Together, these studies provide new insights into the factors that regulate the stride-to-stride fluctuations in walking and pave the way for expanded research into the control of gait and the practical application of measures of gait variability in the clinical setting.
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            Estimation of gait cycle characteristics by trunk accelerometry

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              Local dynamic stability and variability of gait are associated with fall history in elderly subjects.

              Gait parameters that can be measured with simple instrumentation may hold promise for identifying individuals at risk of falling. Increased variability of gait is associated with increased risk of falling, but research on additional parameters indicates that local dynamic stability (LDS) of gait may also be a predictor of fall risk. The objective of the present study was to assess the association between gait variability, LDS of gait and fall history in a large sample of elderly subjects. Subjects were recruited and tested at a large national fair. One hundred and thirty four elderly, aged 50-75, who were able to walk without aids on a treadmill, agreed to participate. After subjects walked on a treadmill, LDS (higher values indicate more instability) and variability parameters were calculated from accelerometer signals (trunk worn). Fall history was obtained by self-report of falls in the past 12 months. Gait variability and short-term LDS were, individually and combined, positively associated with fall history. In conclusion, both increased gait variability and increased short-term LDS are possible risk factors for falling in the elderly. Copyright © 2012 Elsevier B.V. All rights reserved.
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                Author and article information

                Contributors
                +81-78-413-3691 , s-misu@konan-wu.ac.jp
                asai@reha.kobegakuin.ac.jp
                take-d@ncgg.go.jp
                ryuichisaw@gmail.com
                kjnkyau61@gmail.com
                muratashunsuke16@gmail.com
                takashi_nepinepi@yahoo.co.jp
                p.t.dkroebaem0111@gmail.com
                t.issssa.777@gmail.com
                yt.green1@gmail.com
                m-yamada@human.tsukuba.ac.jp
                ono@phoenix.kobe-u.ac.jp
                Journal
                J Neuroeng Rehabil
                J Neuroeng Rehabil
                Journal of NeuroEngineering and Rehabilitation
                BioMed Central (London )
                1743-0003
                28 May 2019
                28 May 2019
                2019
                : 16
                : 62
                Affiliations
                [1 ]GRID grid.444148.9, Department of Physical Therapy, Faculty of Nursing and Rehabilitation, , Konan Women’s University, ; 6-2-13, Morikita-machi, Higashinada-ku, Kobe, 658-0001 Japan
                [2 ]ISNI 0000 0001 1092 3077, GRID grid.31432.37, Department of Community Health Sciences, , Kobe University Graduate School of Health Sciences, ; 7-10-2 Tomogaoka, Suma-ku, Kobe, 654-0142 Japan
                [3 ]ISNI 0000 0001 0695 038X, GRID grid.410784.e, Department of Physical Therapy, Faculty of Rehabilitation, , Kobegakuin University, ; 516 Arise, Ikawadani-cho, Nishi-ku, Kobe, 651-2180 Japan
                [4 ]ISNI 0000 0004 1791 9005, GRID grid.419257.c, Department of Preventive Gerontology, Center for Gerontology and Social Science, , National Center for Geriatrics and Gerontology, ; 35 Gengo Morioka, Obu, 474-8511 Japan
                [5 ]Japan Center for International Exchange, Meisan Tameike Bldg. 7F, 1-1-12 Akasaka, Minato-ku, Tokyo, 107-0052 Japan
                [6 ]Japan Society for the Promotion of Science, Research Fellowship for Young Scientists, Kojimachi Business Center Building, 5-3-1 Kojimachi, Chiyoda-ku, Tokyo, 102-0083 Japan
                [7 ]ISNI 0000 0004 1791 9005, GRID grid.419257.c, The Center for Comprehensive Care and Research on Memory Disorders, , National Center for Geriatrics and Gerontology, ; Obu, Japan
                [8 ]ISNI 0000 0004 1791 9005, GRID grid.419257.c, Medical Genome Center, , National Center for Geriatrics and Gerontology, ; Obu, Japan
                [9 ]ISNI 0000 0001 2369 4728, GRID grid.20515.33, Graduate School of Comprehensive Human Sciences, , University of Tsukuba, Tokyo, Japan, ; 3-29-1 Otsuka, Bunkyo-ku, Tokyo, 112-0012 Japan
                Author information
                http://orcid.org/0000-0003-0015-7078
                Article
                539
                10.1186/s12984-019-0539-3
                6540531
                31138310
                b5270d2a-b3dd-4389-871b-8cdca21994ca
                © The Author(s). 2019

                Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

                History
                : 15 November 2018
                : 17 May 2019
                Categories
                Research
                Custom metadata
                © The Author(s) 2019

                Neurosciences
                gait,score,validity,inertial sensor,acceleration,angular velocity,community-dwelling older people

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