dc.contributor.author
Kielev, Jörn
dc.contributor.author
Nuritdinow, Timur
dc.contributor.author
Spira, Dominik
dc.contributor.author
Buchmann, Nikolaus
dc.contributor.author
Steinhagen-Thiessen, Elisabeth
dc.contributor.author
Lederer, Christian
dc.contributor.author
Daumer, Martin
dc.contributor.author
Demuth, Ilja
dc.date.accessioned
2020-02-03T15:33:11Z
dc.date.available
2020-02-03T15:33:11Z
dc.identifier.uri
https://refubium.fu-berlin.de/handle/fub188/26573
dc.identifier.uri
http://dx.doi.org/10.17169/refubium-26330
dc.description.abstract
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, R2-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.
en
dc.rights.uri
https://creativecommons.org/licenses/by/4.0/
dc.subject
Walking Ability
en
dc.subject.ddc
600 Technik, Medizin, angewandte Wissenschaften::610 Medizin und Gesundheit::610 Medizin und Gesundheit
dc.title
Long-term gait measurements in daily life: Results from the Berlin Aging Study II (BASE-II)
dc.type
Wissenschaftlicher Artikel
dcterms.bibliographicCitation.articlenumber
e0225026
dcterms.bibliographicCitation.doi
10.1371/journal.pone.0225026
dcterms.bibliographicCitation.journaltitle
PLOS One
dcterms.bibliographicCitation.number
12
dcterms.bibliographicCitation.originalpublishername
Public Library of Science (PLoS)
dcterms.bibliographicCitation.volume
14
refubium.affiliation
Charité - Universitätsmedizin Berlin
refubium.resourceType.isindependentpub
no
dcterms.accessRights.openaire
open access
dc.relation.hascorrection
https://doi.org/10.17169/refubium-28109
dcterms.bibliographicCitation.pmid
31825966
dcterms.isPartOf.eissn
1932-6203