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Please use this identifier to cite or link to this item: http://hdl.handle.net/1843/39978
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dc.creatorJúlia Caetano Martinspt_BR
dc.creatorLarissa Tavares Aguiarpt_BR
dc.creatorSylvie Nadeaupt_BR
dc.creatorAline Alvim Sciannipt_BR
dc.creatorLuci Fuscaldi Teixeira-Salmelapt_BR
dc.creatorChristina Danielli Coelho de Morais Fariapt_BR
dc.date.accessioned2022-03-11T14:51:18Z-
dc.date.available2022-03-11T14:51:18Z-
dc.date.issued2019-02-
dc.citation.volume23pt_BR
dc.citation.issue6pt_BR
dc.citation.spage476pt_BR
dc.citation.epage490pt_BR
dc.identifier.doihttps://doi.org/10.1016/j.bjpt.2019.02.004pt_BR
dc.identifier.issn1413-3555pt_BR
dc.identifier.urihttp://hdl.handle.net/1843/39978-
dc.description.resumoBackground Individuals with stroke demonstrate low levels of physical activity. Self-report measures of physical activity are frequently used and the choice of the best one to use for each purpose and context should take into account the measurement properties of these instruments. Objective To summarize the measurement properties and clinical utility of self-report measures of physical activity of post-stroke subjects and to evaluate both the methodological quality of the studies and the quality of the measurement properties. Methods Searches were made in MEDLINE, EMBASE, PEDro, LILACS, and SCIELO. Two reviewers independently screened studies that investigated measurement properties or clinical utility of self-report measures of physical activity in post-stroke subjects. The studies’ methodological quality, quality of the measurement properties, and clinical utility were evaluated. Results From the 11,826 identified studies, 19 were included. Six self-report tools were evaluated: The Activity card sort, Coded activity diary, Frenchay activities index (FAI), Human activity profile (HAP), Multimedia activity recall for children and adults, and the Nottingham leisure questionnaire. The methodological quality of the studies ranged from “poor” to “good”. Most of the results regarding the quality of the measurement properties were doubtful. None of the self-report tools had their content validity investigated. The FAI and HAP showed the highest clinical utility scores. Conclusions Content validity needs to be better investigated to determine if the instruments actually measure the physical activity domain. Further studies with good methodological quality are required to assist clinicians and researchers in selecting the best instrument to measure physical activity levels.pt_BR
dc.description.sponsorshipCNPq - Conselho Nacional de Desenvolvimento Científico e Tecnológicopt_BR
dc.description.sponsorshipFAPEMIG - Fundação de Amparo à Pesquisa do Estado de Minas Geraispt_BR
dc.description.sponsorshipCAPES - Coordenação de Aperfeiçoamento de Pessoal de Nível Superiorpt_BR
dc.format.mimetypepdfpt_BR
dc.languageengpt_BR
dc.publisherUniversidade Federal de Minas Geraispt_BR
dc.publisher.countryBrasilpt_BR
dc.publisher.departmentEEF - DEPARTAMENTO DE FISIOTERAPIApt_BR
dc.publisher.initialsUFMGpt_BR
dc.relation.ispartofBrazilian Journal of Physical Therapypt_BR
dc.rightsAcesso Abertopt_BR
dc.subjectStrokept_BR
dc.subjectPhysical activitypt_BR
dc.subjectSelf-reportpt_BR
dc.subjectMeasurement propertiespt_BR
dc.subjectOutcome measurespt_BR
dc.subject.otherAcidente vascular cerebralpt_BR
dc.subject.otherExercícios físicospt_BR
dc.subject.otherInstrumentos de mediçãopt_BR
dc.titleMeasurement properties of self-report physical activity assessment tools for patients with stroke: a systematic reviewpt_BR
dc.typeArtigo de Periódicopt_BR
dc.url.externahttp://www.rbf-bjpt.org.br/en-pdf-S141335551830844Xpt_BR
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