Duke Activity Status Index cut-off scores for assessing functional capacity after stroke

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dc.creatorJanaine Polese
dc.creatorSilvia da Silva
dc.creatorIza de Faria-Fortini
dc.creatorChristina Faria
dc.creatorLuci Fuscaldi Teixeira-Salmela
dc.date.accessioned2022-06-13T18:43:16Z
dc.date.accessioned2025-09-08T23:34:52Z
dc.date.available2022-06-13T18:43:16Z
dc.date.issued2019-06
dc.description.sponsorshipCNPq - Conselho Nacional de Desenvolvimento Científico e Tecnológico
dc.description.sponsorshipFAPEMIG - Fundação de Amparo à Pesquisa do Estado de Minas Gerais
dc.description.sponsorshipCAPES - Coordenação de Aperfeiçoamento de Pessoal de Nível Superior
dc.identifier.doihttps://doi.org/10.1080/09638288.2019.1632942
dc.identifier.issn1464-5165
dc.identifier.urihttps://hdl.handle.net/1843/42479
dc.languageeng
dc.publisherUniversidade Federal de Minas Gerais
dc.relation.ispartofDisability and Rehabilitation
dc.rightsAcesso Restrito
dc.subjectAcidente vascular cerebral
dc.subjectCapacidade motora
dc.subjectMarcha humana
dc.subjectCaminhada
dc.subject.otherStroke
dc.subject.otherCut-off value
dc.subject.otherFunctional capacity
dc.subject.otherGait
dc.subject.otherCommunity walkers
dc.titleDuke Activity Status Index cut-off scores for assessing functional capacity after stroke
dc.typeArtigo de periódico
local.citation.epage717
local.citation.issue5
local.citation.spage713
local.citation.volume43
local.description.resumoPurpose: To determine the Duke Activity Status Index (DASI) cut-off scores and verify if they would be able to discriminate between chronic stroke individuals, who had poor, from those who had good functional capacity (FC). Materials and methods: Cross-sectional study, where 92 individuals with chronic stroke had their FC measured by DASI scores and were classified into community and non-community walkers. Both the receiver operating characteristic and the area under the curve were used to determine the best DASI cut-off values that could discriminate between individuals, who had poor, from those who had good FC. Binary logistic regression analysis is used to investigate the ability of DASI scores in predicting community walkers. Results: DASI cut-off value of 31.95 showed to be sensitive and specific to differentiate between individuals, who had poor from good FC. The regression analysis revealed that the chance of individuals, who had better FC (≥ 31.95) be community walkers was 10.69 (95%CI:4–32.75) times higher than that of those who had poor FC (< 31.95). The model demonstrated good predictive ability. Conclusions: The DASI cut-off value of 31.95 showed to be sensitive and specific to distinguish between chronic stroke individuals, who had poor, from those who had good FC.
local.identifier.orcidhttps://orcid.org/0000-0003-3366-1545
local.identifier.orcidhttps://orcid.org/0000-0002-2323-2029
local.identifier.orcidhttps://orcid.org/0000-0002-0104-1547
local.identifier.orcidhttps://orcid.org/0000-0001-9784-9729
local.identifier.orcidhttps://orcid.org/0000-0001-8358-8636
local.publisher.countryBrasil
local.publisher.departmentEEF - DEPARTAMENTO DE TERAPIA OCUPACIONAL
local.publisher.initialsUFMG
local.url.externahttps://www.tandfonline.com/doi/full/10.1080/09638288.2019.1632942?scroll=top&needAccess=true

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