Citation

Santos Bueno GA, Ribeiro DM, Gervásio FM, Correia AM, de Menezes RL. Gait Posture 2019; 72: 76-81.

Affiliation

Postgraduate Program in Health Sciences and Technologies, University of Brasília, Federal District, DF, Brazil. Electronic address: ruthlosada@unb.br.

Copyright

(Copyright © 2019, Elsevier Publishing)

DOI

10.1016/j.gaitpost.2019.05.029

PMID

31173949

Abstract

BACKGROUND: Quantification of differences in gait kinematics between young and older adults provides insight on age-related gait changes and can contribute to the investigation of risk of falls. Gait Profile Score (GPS) is an index that indicates gait quality, using kinematic gait data, but so far it has not been used in an elderly population without neurological conditions. RESEARCH QUESTION: Is the Gait Profile Score (GPS) an index that shows reliability for use in old adults? Does this index detect changes in gait quality observed by kinematic data between nonfaller, faller and recurrent faller older adults? METHODS: Forty-nine women (mean age 72,43 ± 6,44; 27 faller and 22 nonfaller) were included in the study. Intra-session reliability was obtained from the intraclass correlation coefficient (ICC) between the five strides of each session.

RESULTS: Overall value of GPS shows no difference between nonfaller (6.65 ± 1.59º), faller (6.67 ± 2.05º) and recurrent faller (6.62 ± 0.86º) older adult. In all groups larger values of Gait Variable Scores (GVS) were observed in the hip and knee joints. Intra-session ICC values the GVS and GPS presented high stability, ranging from 0.80 to 0.99. MDC lower values in GPS were observed in the faller (0.39; ICC - 0.97) and recurrent faller (0.69; ICC - 0.90). SIGNIFICANCE: Due to the high reliability, GPS has proven to be a valid method to analyze the gait quality of faller and nonfaller older woman. The most sensitive indexes (GPS and GVS) are the gear changes in fallers and recurrent fallers.

Copyright © 2019 Elsevier B.V. All rights reserved.

Language: en

Keywords

Age effects; Fall in the elderly; Gait; Gait profile score; Reliability