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Henrique A. Gomes ; Rosana F. Sampaio ; Sheyla R. C. Furtado ; Bruno S. Moreira ;Revista Brasileira de Fisioterapia 2016, 20 3

Author: Renata N. Kirkwood

Source: http://www.redalyc.org/


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Revista Brasileira de Fisioterapia ISSN: 1413-3555 rbfisio@ufscar.br Associação Brasileira de Pesquisa e PósGraduação em Fisioterapia Brasil Kirkwood, Renata N.; Gomes, Henrique A.; Sampaio, Rosana F.; Furtado, Sheyla R.
C.; Moreira, Bruno S. Spatiotemporal and variability gait data in community-dwelling elderly women from Brazil Revista Brasileira de Fisioterapia, vol.
20, núm.
3, mayo-junio, 2016, pp.
258-266 Associação Brasileira de Pesquisa e Pós-Graduação em Fisioterapia São Carlos, Brasil Available in: http:--www.redalyc.org-articulo.oa?id=235046376009 How to cite Complete issue More information about this article Journals homepage in redalyc.org Scientific Information System Network of Scientific Journals from Latin America, the Caribbean, Spain and Portugal Non-profit academic project, developed under the open access initiative original article Spatiotemporal and variability gait data in community‑dwelling elderly women from Brazil Renata N.
Kirkwood1, Henrique A.
Gomes1, Rosana F.
Sampaio1, Sheyla R.
C.
Furtado1, Bruno S.
Moreira1 ABSTRACT | Background: Gait is an extremely complex motor task; therefore, gait data should encompass as many gait parameters as possible.
Objective: To provide reference values for gait measurements obtained from a Brazilian group of community-dwelling elderly females between the ages of 65 and 89 years and to apply the PCA-biplot to yield insight into different walking strategies that might occur during the aging process.
Method: 305 elderly community‑dwelling females living in Brazil were stratified into four age groups: 65-69 years (N=103); 70-74 years (N=95); 75-79 years (N=77); and ≥80 years (N=30).
Age, height, and BMI were assessed to describe the characteristics of the groups.
Gait spatiotemporal and variability data were obtained using the GAITRite system.
Principal component analysis, followed by MANOVA and the PCA-biplot approach were used to analyze the data.
Results: 95% CI showed that...





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