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Gait characteristics under different walking conditions: Association with the presence of cognitive impairment in community-dwelling older people
BACKGROUND: Gait characteristics measured at usual pace may allow profiling in patients with cognitive problems. The influence of age, gender, leg length, modified speed or dual tasking is unclear. METHODS: Cross-sectional analysis was performed on a data registry containing demographic, physical an...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5453541/ https://www.ncbi.nlm.nih.gov/pubmed/28570662 http://dx.doi.org/10.1371/journal.pone.0178566 |
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author | De Cock, Anne-Marie Fransen, Erik Perkisas, Stany Verhoeven, Veronique Beauchet, Olivier Remmen, Roy Vandewoude, Maurits |
author_facet | De Cock, Anne-Marie Fransen, Erik Perkisas, Stany Verhoeven, Veronique Beauchet, Olivier Remmen, Roy Vandewoude, Maurits |
author_sort | De Cock, Anne-Marie |
collection | PubMed |
description | BACKGROUND: Gait characteristics measured at usual pace may allow profiling in patients with cognitive problems. The influence of age, gender, leg length, modified speed or dual tasking is unclear. METHODS: Cross-sectional analysis was performed on a data registry containing demographic, physical and spatial-temporal gait parameters recorded in five walking conditions with a GAITRite® electronic carpet in community-dwelling older persons with memory complaints. Four cognitive stages were studied: cognitively healthy individuals, mild cognitive impaired patients, mild dementia patients and advanced dementia patients. RESULTS: The association between spatial-temporal gait characteristics and cognitive stages was the most prominent: in the entire study population using gait speed, steps per meter (translation for mean step length), swing time variability, normalised gait speed (corrected for leg length) and normalised steps per meter at all five walking conditions; in the 50-to-70 years old participants applying step width at fast pace and steps per meter at usual pace; in the 70-to-80 years old persons using gait speed and normalised gait speed at usual pace, fast pace, animal walk and counting walk or steps per meter and normalised steps per meter at all five walking conditions; in over-80 years old participants using gait speed, normalised gait speed, steps per meter and normalised steps per meter at fast pace and animal dual-task walking. Multivariable logistic regression analysis adjusted for gender predicted in two compiled models the presence of dementia or cognitive impairment with acceptable accuracy in persons with memory complaints. CONCLUSION: Gait parameters in multiple walking conditions adjusted for age, gender and leg length showed a significant association with cognitive impairment. This study suggested that multifactorial gait analysis could be more informative than using gait analysis with only one test or one variable. Using this type of gait analysis in clinical practice could facilitate screening for cognitive impairment. |
format | Online Article Text |
id | pubmed-5453541 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-54535412017-06-12 Gait characteristics under different walking conditions: Association with the presence of cognitive impairment in community-dwelling older people De Cock, Anne-Marie Fransen, Erik Perkisas, Stany Verhoeven, Veronique Beauchet, Olivier Remmen, Roy Vandewoude, Maurits PLoS One Research Article BACKGROUND: Gait characteristics measured at usual pace may allow profiling in patients with cognitive problems. The influence of age, gender, leg length, modified speed or dual tasking is unclear. METHODS: Cross-sectional analysis was performed on a data registry containing demographic, physical and spatial-temporal gait parameters recorded in five walking conditions with a GAITRite® electronic carpet in community-dwelling older persons with memory complaints. Four cognitive stages were studied: cognitively healthy individuals, mild cognitive impaired patients, mild dementia patients and advanced dementia patients. RESULTS: The association between spatial-temporal gait characteristics and cognitive stages was the most prominent: in the entire study population using gait speed, steps per meter (translation for mean step length), swing time variability, normalised gait speed (corrected for leg length) and normalised steps per meter at all five walking conditions; in the 50-to-70 years old participants applying step width at fast pace and steps per meter at usual pace; in the 70-to-80 years old persons using gait speed and normalised gait speed at usual pace, fast pace, animal walk and counting walk or steps per meter and normalised steps per meter at all five walking conditions; in over-80 years old participants using gait speed, normalised gait speed, steps per meter and normalised steps per meter at fast pace and animal dual-task walking. Multivariable logistic regression analysis adjusted for gender predicted in two compiled models the presence of dementia or cognitive impairment with acceptable accuracy in persons with memory complaints. CONCLUSION: Gait parameters in multiple walking conditions adjusted for age, gender and leg length showed a significant association with cognitive impairment. This study suggested that multifactorial gait analysis could be more informative than using gait analysis with only one test or one variable. Using this type of gait analysis in clinical practice could facilitate screening for cognitive impairment. Public Library of Science 2017-06-01 /pmc/articles/PMC5453541/ /pubmed/28570662 http://dx.doi.org/10.1371/journal.pone.0178566 Text en © 2017 De Cock et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article De Cock, Anne-Marie Fransen, Erik Perkisas, Stany Verhoeven, Veronique Beauchet, Olivier Remmen, Roy Vandewoude, Maurits Gait characteristics under different walking conditions: Association with the presence of cognitive impairment in community-dwelling older people |
title | Gait characteristics under different walking conditions: Association with the presence of cognitive impairment in community-dwelling older people |
title_full | Gait characteristics under different walking conditions: Association with the presence of cognitive impairment in community-dwelling older people |
title_fullStr | Gait characteristics under different walking conditions: Association with the presence of cognitive impairment in community-dwelling older people |
title_full_unstemmed | Gait characteristics under different walking conditions: Association with the presence of cognitive impairment in community-dwelling older people |
title_short | Gait characteristics under different walking conditions: Association with the presence of cognitive impairment in community-dwelling older people |
title_sort | gait characteristics under different walking conditions: association with the presence of cognitive impairment in community-dwelling older people |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5453541/ https://www.ncbi.nlm.nih.gov/pubmed/28570662 http://dx.doi.org/10.1371/journal.pone.0178566 |
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