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Gait biofeedback training in people with Parkinson’s disease: a pilot study
BACKGROUND: People with Parkinson’s disease (PD) are at a high risk of falls, with ~ 60% experiencing a fall each year. Greater mediolateral head and pelvis motion during gait are known to increase the risk of falling in PD, however the ability to modify these aspects of gait has not been examined....
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9287978/ https://www.ncbi.nlm.nih.gov/pubmed/35842699 http://dx.doi.org/10.1186/s12984-022-01051-1 |
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author | McMaster, Kate Cole, Michael H. Chalkley, Daniel Creaby, Mark W. |
author_facet | McMaster, Kate Cole, Michael H. Chalkley, Daniel Creaby, Mark W. |
author_sort | McMaster, Kate |
collection | PubMed |
description | BACKGROUND: People with Parkinson’s disease (PD) are at a high risk of falls, with ~ 60% experiencing a fall each year. Greater mediolateral head and pelvis motion during gait are known to increase the risk of falling in PD, however the ability to modify these aspects of gait has not been examined. Thus, this study aimed to examine whether mediolateral trunk, head and pelvis motion during walking could be successfully decreased in people with PD using real-time biofeedback. METHODS: Participants were provided with real-time biofeedback regarding their mediolateral trunk lean via a visual projection whilst walking along an 8-m indoor walkway. Using the feedback provided, they were asked to reduce the magnitude of their mediolateral trunk lean. Gait was recorded for four conditions (i) Baseline, (ii) Intervention, (iii) immediately Post-Intervention, and (iv) 1-week Follow-Up. Biomechanical variables associated with falls risk were compared between conditions, including normalised mediolateral motion, gait velocity and stride length. RESULTS: A reduction in mediolateral trunk lean, step length and gait velocity from Baseline to the Intervention and Post-intervention conditions was observed. Contrary to this, increased normalised ML pelvis and trunk motion was observed between the Baseline and Intervention conditions, but returned to Baseline levels in the Post-Intervention condition. CONCLUSIONS: Results from the current study suggest that real-time visual biofeedback may be effective at modifying specific gait characteristics that are associated with falls in PD. Further research is required to better understand the influence of this intervention approach on falls incidence. Trial registration Australian New Zealand Clinical Trials Registry ACTRN12620000994987. Registered 10 June 2020 - Retrospectively registered, https://anzctr.org.au/Trial/Registration/TrialReview.aspx?id=380324 SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12984-022-01051-1. |
format | Online Article Text |
id | pubmed-9287978 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-92879782022-07-17 Gait biofeedback training in people with Parkinson’s disease: a pilot study McMaster, Kate Cole, Michael H. Chalkley, Daniel Creaby, Mark W. J Neuroeng Rehabil Research BACKGROUND: People with Parkinson’s disease (PD) are at a high risk of falls, with ~ 60% experiencing a fall each year. Greater mediolateral head and pelvis motion during gait are known to increase the risk of falling in PD, however the ability to modify these aspects of gait has not been examined. Thus, this study aimed to examine whether mediolateral trunk, head and pelvis motion during walking could be successfully decreased in people with PD using real-time biofeedback. METHODS: Participants were provided with real-time biofeedback regarding their mediolateral trunk lean via a visual projection whilst walking along an 8-m indoor walkway. Using the feedback provided, they were asked to reduce the magnitude of their mediolateral trunk lean. Gait was recorded for four conditions (i) Baseline, (ii) Intervention, (iii) immediately Post-Intervention, and (iv) 1-week Follow-Up. Biomechanical variables associated with falls risk were compared between conditions, including normalised mediolateral motion, gait velocity and stride length. RESULTS: A reduction in mediolateral trunk lean, step length and gait velocity from Baseline to the Intervention and Post-intervention conditions was observed. Contrary to this, increased normalised ML pelvis and trunk motion was observed between the Baseline and Intervention conditions, but returned to Baseline levels in the Post-Intervention condition. CONCLUSIONS: Results from the current study suggest that real-time visual biofeedback may be effective at modifying specific gait characteristics that are associated with falls in PD. Further research is required to better understand the influence of this intervention approach on falls incidence. Trial registration Australian New Zealand Clinical Trials Registry ACTRN12620000994987. Registered 10 June 2020 - Retrospectively registered, https://anzctr.org.au/Trial/Registration/TrialReview.aspx?id=380324 SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12984-022-01051-1. BioMed Central 2022-07-16 /pmc/articles/PMC9287978/ /pubmed/35842699 http://dx.doi.org/10.1186/s12984-022-01051-1 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research McMaster, Kate Cole, Michael H. Chalkley, Daniel Creaby, Mark W. Gait biofeedback training in people with Parkinson’s disease: a pilot study |
title | Gait biofeedback training in people with Parkinson’s disease: a pilot study |
title_full | Gait biofeedback training in people with Parkinson’s disease: a pilot study |
title_fullStr | Gait biofeedback training in people with Parkinson’s disease: a pilot study |
title_full_unstemmed | Gait biofeedback training in people with Parkinson’s disease: a pilot study |
title_short | Gait biofeedback training in people with Parkinson’s disease: a pilot study |
title_sort | gait biofeedback training in people with parkinson’s disease: a pilot study |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9287978/ https://www.ncbi.nlm.nih.gov/pubmed/35842699 http://dx.doi.org/10.1186/s12984-022-01051-1 |
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