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Long-term gait measurements in daily life: Results from the Berlin Aging Study II (BASE-II)

BACKGROUND: Walking ability is an important prerequisite for activity, social participation and independent living. While in most healthy adults, this ability can be assumed as given, limitations in walking ability occur with increasing age. Furthermore, slow walking speed is linked to several chron...

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Autores principales: Kiselev, Jörn, Nuritdinow, Timur, Spira, Dominik, Buchmann, Nikolaus, Steinhagen-Thiessen, Elisabeth, Lederer, Christian, Daumer, Martin, Demuth, Ilja
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6905575/
https://www.ncbi.nlm.nih.gov/pubmed/31825966
http://dx.doi.org/10.1371/journal.pone.0225026
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author Kiselev, Jörn
Nuritdinow, Timur
Spira, Dominik
Buchmann, Nikolaus
Steinhagen-Thiessen, Elisabeth
Lederer, Christian
Daumer, Martin
Demuth, Ilja
author_facet Kiselev, Jörn
Nuritdinow, Timur
Spira, Dominik
Buchmann, Nikolaus
Steinhagen-Thiessen, Elisabeth
Lederer, Christian
Daumer, Martin
Demuth, Ilja
author_sort Kiselev, Jörn
collection PubMed
description BACKGROUND: Walking ability is an important prerequisite for activity, social participation and independent living. While in most healthy adults, this ability can be assumed as given, limitations in walking ability occur with increasing age. Furthermore, slow walking speed is linked to several chronic conditions and overall morbidity. Measurements of gait parameters can be used as a proxy to detect functional decline and onset of chronic conditions. Up to now, gait characteristics used for this purpose are measured in standardized laboratory settings. There is some evidence, however, that long-term measurements of gait parameters in the living environment have some advantages over short-term laboratory measurements. METHODS: We evaluated cross-sectional data from an accelerometric sensor worn in a subgroup of 554 participants of the Berlin Aging Study II (BASE-II). Data from the two BASE-II age groups (age between 22–36 years and 60–79 years) were used for the current analysis of accelerometric data for a minimum of two days and a maximum of ten days were available. Real world walking speed, number of steps, maximum coherent distance and total distance were derived as average data per day. Linear regression analyses were performed on the different gait parameters in order to identify significant determinants. Additionally, Mann-Whitney-U-tests were performed to detect sex-specific differences. RESULTS: Age showed to be significantly associated with real world walking speed and with the total distance covered per day, while BMI contributed negatively to the number of walking steps, maximum coherent distance and total distance walked. Additionally, sex was associated with walking steps. However, R(2)-values for all models were low. Overall, women had significantly more walking steps and a larger coherent distance per day when compared to men. When separated by age group, this difference was significant only in the older participants. Additionally, walking speed was significantly higher in women compared to men in the subgroup of older people. CONCLUSIONS: Age- and sex-specific differences have to be considered when objective gait parameters are measured, e.g. in the context of clinical risk assessment. For this purpose normative data, differentiating for age and sex would have to be established to allow reliable classification of long-term measurements of gait.
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spelling pubmed-69055752019-12-27 Long-term gait measurements in daily life: Results from the Berlin Aging Study II (BASE-II) Kiselev, Jörn Nuritdinow, Timur Spira, Dominik Buchmann, Nikolaus Steinhagen-Thiessen, Elisabeth Lederer, Christian Daumer, Martin Demuth, Ilja PLoS One Research Article BACKGROUND: Walking ability is an important prerequisite for activity, social participation and independent living. While in most healthy adults, this ability can be assumed as given, limitations in walking ability occur with increasing age. Furthermore, slow walking speed is linked to several chronic conditions and overall morbidity. Measurements of gait parameters can be used as a proxy to detect functional decline and onset of chronic conditions. Up to now, gait characteristics used for this purpose are measured in standardized laboratory settings. There is some evidence, however, that long-term measurements of gait parameters in the living environment have some advantages over short-term laboratory measurements. METHODS: We evaluated cross-sectional data from an accelerometric sensor worn in a subgroup of 554 participants of the Berlin Aging Study II (BASE-II). Data from the two BASE-II age groups (age between 22–36 years and 60–79 years) were used for the current analysis of accelerometric data for a minimum of two days and a maximum of ten days were available. Real world walking speed, number of steps, maximum coherent distance and total distance were derived as average data per day. Linear regression analyses were performed on the different gait parameters in order to identify significant determinants. Additionally, Mann-Whitney-U-tests were performed to detect sex-specific differences. RESULTS: Age showed to be significantly associated with real world walking speed and with the total distance covered per day, while BMI contributed negatively to the number of walking steps, maximum coherent distance and total distance walked. Additionally, sex was associated with walking steps. However, R(2)-values for all models were low. Overall, women had significantly more walking steps and a larger coherent distance per day when compared to men. When separated by age group, this difference was significant only in the older participants. Additionally, walking speed was significantly higher in women compared to men in the subgroup of older people. CONCLUSIONS: Age- and sex-specific differences have to be considered when objective gait parameters are measured, e.g. in the context of clinical risk assessment. For this purpose normative data, differentiating for age and sex would have to be established to allow reliable classification of long-term measurements of gait. Public Library of Science 2019-12-11 /pmc/articles/PMC6905575/ /pubmed/31825966 http://dx.doi.org/10.1371/journal.pone.0225026 Text en © 2019 Kiselev 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
Kiselev, Jörn
Nuritdinow, Timur
Spira, Dominik
Buchmann, Nikolaus
Steinhagen-Thiessen, Elisabeth
Lederer, Christian
Daumer, Martin
Demuth, Ilja
Long-term gait measurements in daily life: Results from the Berlin Aging Study II (BASE-II)
title Long-term gait measurements in daily life: Results from the Berlin Aging Study II (BASE-II)
title_full Long-term gait measurements in daily life: Results from the Berlin Aging Study II (BASE-II)
title_fullStr Long-term gait measurements in daily life: Results from the Berlin Aging Study II (BASE-II)
title_full_unstemmed Long-term gait measurements in daily life: Results from the Berlin Aging Study II (BASE-II)
title_short Long-term gait measurements in daily life: Results from the Berlin Aging Study II (BASE-II)
title_sort long-term gait measurements in daily life: results from the berlin aging study ii (base-ii)
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6905575/
https://www.ncbi.nlm.nih.gov/pubmed/31825966
http://dx.doi.org/10.1371/journal.pone.0225026
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