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dc.contributor.authorGarcia-Cifuentes, Elkin
dc.contributor.authorBotero-Rodríguez, Felipe
dc.contributor.authorRamirez Velandia, Felipe
dc.contributor.authorIragorri, Angela
dc.contributor.authorMarquez, Isabel
dc.contributor.authorGelvis-Ortiz, Geronimo
dc.contributor.authorAcosta, María-Fernanda
dc.contributor.authorJaramillo-Jiménez, Alberto
dc.contributor.authorLopera, Francisco
dc.contributor.authorCano-Gutiérrez, Carlos Alberto
dc.date.accessioned2023-01-11T13:06:37Z
dc.date.available2023-01-11T13:06:37Z
dc.date.created2022-05-31T13:18:18Z
dc.date.issued2022
dc.identifier.citationGarcia-Cifuentes, E., Botero-Rodríguez, F., Ramirez Velandia, F., Iragorri, A., Marquez, I., Gelvis, G., ... & Cano-Guitierrez, C. A. (2022). Muscular function as an alternative to identify cognitive impairment: A secondary analysis from SABE Colombia. Frontiers in Neurology, 185.en_US
dc.identifier.issn1664-2295
dc.identifier.urihttps://hdl.handle.net/11250/3042733
dc.description.abstractBackground: Identification of cognitive impairment is based traditionally on the neuropsychological tests and biomarkers that are not available widely. This study aimed to establish the association between motor function (gait speed and handgrip strength) and cognitive performance in the Mini-Mental State Examination, globally and by domains. A secondary goal was calculating a cut-off point for gait speed and handgrip strength to classify older adults as cognitively impaired. Methods: This is a secondary analysis of SABE Colombia (Salud, Bienestar & Envejecimiento), a survey that was conducted in 2015 on health, wellbeing, and aging in Colombia. This study used linear regression models to search for an association between motor function and cognitive performance. The accuracy of motor function measurements in identifying cognitive impairment was assessed with receiver operating characteristic (ROC) curves. This study also analyzed other clinical and sociodemographical variables. Results: Gait speed was associated with orientation (r2 = 0.16), language (r2 = 0.15), recall memory (r2 = 0.14), and counting (r2 = 0.08). Similarly, handgrip strength was associated with orientation (r2 = 0.175), language (r2 = 0.164), recall memory (r2 = 0.137), and counting (r2 = 0.08). To differentiate older adults with and without cognitive impairment, a gait speed cut-off point of 0.59 m/s had an area under the curve (AUC) of 0.629 (0.613–0.646), and a weak handgrip (strength below 17.5 kg) had an AUC of 0.653 (0.645-0.661). The cut-off points for handgrip strength and gait speed were significantly higher in male participants. Conclusions: Gait speed and handgrip strength are similarly associated with the cognitive performance, exhibiting the most extensive association with orientation and language domains of the Mini-Mental State Examination. Gait speed and handgrip strength can easily be measured by any clinician, and they prove to be useful screening tools to detect cognitive impairment.en_US
dc.language.isoengen_US
dc.publisherFrontiersen_US
dc.rightsNavngivelse 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/deed.no*
dc.titleMuscular Function as an Alternative to Identify Cognitive Impairment: A Secondary Analysis From SABE Colombiaen_US
dc.title.alternativeMuscular Function as an Alternative to Identify Cognitive Impairment: A Secondary Analysis From SABE Colombiaen_US
dc.typePeer revieweden_US
dc.typeJournal articleen_US
dc.description.versionpublishedVersionen_US
dc.rights.holderThe authoren_US
dc.subject.nsiVDP::Medisinske Fag: 700en_US
dc.source.volume13en_US
dc.source.journalFrontiers in Neurologyen_US
dc.identifier.doi10.3389/fneur.2022.695253
dc.identifier.cristin2028425
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1


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