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Differences in gait and trunk movement between patients after ankle fracture and healthy subjects
BACKGROUND: Studies have shown that gait asymmetry and activity limitation can persist several months or years after ankle fracture. However, evidence of gait and trunk movement patterns following ankle fracture during the early rehabilitation period is scarce. Thus, we compared gait patterns and tr...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6425625/ https://www.ncbi.nlm.nih.gov/pubmed/30890177 http://dx.doi.org/10.1186/s12938-019-0644-3 |
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author | Hsu, Chia-Yu Tsai, Yuh-Show Yau, Cheng-Shiang Shie, Hung-Hai Wu, Chu-Ming |
author_facet | Hsu, Chia-Yu Tsai, Yuh-Show Yau, Cheng-Shiang Shie, Hung-Hai Wu, Chu-Ming |
author_sort | Hsu, Chia-Yu |
collection | PubMed |
description | BACKGROUND: Studies have shown that gait asymmetry and activity limitation can persist several months or years after ankle fracture. However, evidence of gait and trunk movement patterns following ankle fracture during the early rehabilitation period is scarce. Thus, we compared gait patterns and trunk movement during the early phase of rehabilitation between patients with ankle fracture and matched controls. METHODS: Ten patients with ankle fractures, and ten age- and sex-matched healthy controls were prospectively enrolled. An automated infrared-assisted, trunk accelerometer-based gait analysis system was used to measure walking speed, step length, and cadence. The median time of the evaluation following ankle fracture was 4.0 months. Trunk movement intensity was evaluated as acceleration root mean square. Trunk movement symmetry and regularity were analysed using the autocorrelation method. Differences in gait characteristics between the patient and control groups were analysed using the Mann–Whitney U test. Follow-up assessment of falls was performed 24 months after the fracture. The correlations between Lower Extremity Functional Scale (LEFS) scores/falls and gait parameters were evaluated using Spearman’s rank correlation coefficient. RESULTS: Walking speed (p = 0.019), step length (p = 0.023), cadence (p = 0.003), and trunk movement intensity in anterior–posterior and vertical axis (p = 0.001, p = 0.003, respectively) were all significantly lower in the ankle fracture group than in the control group. Trunk movement symmetry in vertical direction (p = 0.019) decreased significantly in patients with ankle fractures, whereas between-strides regularity did not differ between groups. LEFS scores were moderately correlated with walking speed (r = 0.60, p = 0.044) and step length (r = 0.68, p = 0.021). During the 24 months after the fracture, 3 falls were reported by 3 patients. Trunk acceleration root mean square ratio in mediolateral axis (r = 0.72, p = 0.018) was highly correlated with future falls. CONCLUSION: During early rehabilitation, patients with ankle fracture may develop trunk movement asymmetry in the vertical direction accompanied with slower walking speed and cadence, and smaller step lengths, which can contribute to muscular imbalances and potential injury. Thus, proper rehabilitation strategies should be employed for these patients. |
format | Online Article Text |
id | pubmed-6425625 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-64256252019-03-29 Differences in gait and trunk movement between patients after ankle fracture and healthy subjects Hsu, Chia-Yu Tsai, Yuh-Show Yau, Cheng-Shiang Shie, Hung-Hai Wu, Chu-Ming Biomed Eng Online Research BACKGROUND: Studies have shown that gait asymmetry and activity limitation can persist several months or years after ankle fracture. However, evidence of gait and trunk movement patterns following ankle fracture during the early rehabilitation period is scarce. Thus, we compared gait patterns and trunk movement during the early phase of rehabilitation between patients with ankle fracture and matched controls. METHODS: Ten patients with ankle fractures, and ten age- and sex-matched healthy controls were prospectively enrolled. An automated infrared-assisted, trunk accelerometer-based gait analysis system was used to measure walking speed, step length, and cadence. The median time of the evaluation following ankle fracture was 4.0 months. Trunk movement intensity was evaluated as acceleration root mean square. Trunk movement symmetry and regularity were analysed using the autocorrelation method. Differences in gait characteristics between the patient and control groups were analysed using the Mann–Whitney U test. Follow-up assessment of falls was performed 24 months after the fracture. The correlations between Lower Extremity Functional Scale (LEFS) scores/falls and gait parameters were evaluated using Spearman’s rank correlation coefficient. RESULTS: Walking speed (p = 0.019), step length (p = 0.023), cadence (p = 0.003), and trunk movement intensity in anterior–posterior and vertical axis (p = 0.001, p = 0.003, respectively) were all significantly lower in the ankle fracture group than in the control group. Trunk movement symmetry in vertical direction (p = 0.019) decreased significantly in patients with ankle fractures, whereas between-strides regularity did not differ between groups. LEFS scores were moderately correlated with walking speed (r = 0.60, p = 0.044) and step length (r = 0.68, p = 0.021). During the 24 months after the fracture, 3 falls were reported by 3 patients. Trunk acceleration root mean square ratio in mediolateral axis (r = 0.72, p = 0.018) was highly correlated with future falls. CONCLUSION: During early rehabilitation, patients with ankle fracture may develop trunk movement asymmetry in the vertical direction accompanied with slower walking speed and cadence, and smaller step lengths, which can contribute to muscular imbalances and potential injury. Thus, proper rehabilitation strategies should be employed for these patients. BioMed Central 2019-03-19 /pmc/articles/PMC6425625/ /pubmed/30890177 http://dx.doi.org/10.1186/s12938-019-0644-3 Text en © 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. |
spellingShingle | Research Hsu, Chia-Yu Tsai, Yuh-Show Yau, Cheng-Shiang Shie, Hung-Hai Wu, Chu-Ming Differences in gait and trunk movement between patients after ankle fracture and healthy subjects |
title | Differences in gait and trunk movement between patients after ankle fracture and healthy subjects |
title_full | Differences in gait and trunk movement between patients after ankle fracture and healthy subjects |
title_fullStr | Differences in gait and trunk movement between patients after ankle fracture and healthy subjects |
title_full_unstemmed | Differences in gait and trunk movement between patients after ankle fracture and healthy subjects |
title_short | Differences in gait and trunk movement between patients after ankle fracture and healthy subjects |
title_sort | differences in gait and trunk movement between patients after ankle fracture and healthy subjects |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6425625/ https://www.ncbi.nlm.nih.gov/pubmed/30890177 http://dx.doi.org/10.1186/s12938-019-0644-3 |
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