Show simple item record

dc.contributor.authorMarques, Nise Ribeiro
dc.contributor.authorSpinoso, Deborah Hebling [UNESP]
dc.contributor.authorCardoso, Bruna Carvalho [UNESP]
dc.contributor.authorMoreno, Vinicius Christianini
dc.contributor.authorKuroda, Marina Hiromi
dc.contributor.authorNavega, Marcelo Tavella [UNESP]
dc.date.accessioned2018-12-11T17:38:08Z
dc.date.available2018-12-11T17:38:08Z
dc.date.issued2018-11-01
dc.identifierhttp://dx.doi.org/10.1016/j.clinbiomech.2018.08.006
dc.identifier.citationClinical Biomechanics, v. 59, p. 15-18.
dc.identifier.issn1879-1271
dc.identifier.issn0268-0033
dc.identifier.urihttp://hdl.handle.net/11449/180097
dc.description.abstractBackground: Gait kinematic parameters have been reported as an important clinical tool to assess the risk of falls in older adults. However, the ability of these parameters to predict falls in the older population is still unclear. Objective: To identify the ability that gait kinematic parameters present to predict fall in older adults. Methods: Data from 102 older adults, who live in a community setting, were considered for this study. For data collection, older subjects had to walk on a 14 meter-walkway in their preferred gait speed. The incidence of falls was recorded at baseline together with gait kinematics and then every three months during the period of the study. The ability of gait kinematic parameters to predict falls was tested using the ROC curve. Results: Stance time variability, swing time, and stride length presented a sensitivity to predict falls in older adults higher than 70%. Conclusion: Gait kinematic parameters, such as stance variability, swing time, and stride length may predict future falls in older adults.en
dc.description.sponsorshipFundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
dc.format.extent15-18
dc.language.isoeng
dc.relation.ispartofClinical Biomechanics
dc.sourceScopus
dc.subjectAging
dc.subjectBiomechanics
dc.subjectMobility
dc.subjectPhysical therapy
dc.titleIs it possible to predict falls in older adults using gait kinematics?en
dc.typeArtigo
dc.contributor.institutionUSC
dc.contributor.institutionUniversidade Estadual Paulista (UNESP)
dc.description.affiliationCenter of Health Sciences Universidade do Sagrado Coração USC
dc.description.affiliationDepartment of Physical Therapy and Occupation Therapy Universidade Estadual Paulista UNESP
dc.description.affiliationUnespDepartment of Physical Therapy and Occupation Therapy Universidade Estadual Paulista UNESP
dc.identifier.doi10.1016/j.clinbiomech.2018.08.006
dc.rights.accessRightsAcesso aberto
dc.description.sponsorshipIdFAPESP: 2014/07227-3
dc.identifier.scopus2-s2.0-85051370647
dc.identifier.file2-s2.0-85051370647.pdf
dc.identifier.lattes1153464448003029
unesp.author.lattes1153464448003029
dc.relation.ispartofsjr0,982
Localize o texto completo

Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record