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Dataset Information

Gait asymmetry, ankle spasticity, and depression as independent predictors of falls in ambulatory stroke patients.


ABSTRACT:

Background

Falls are the leading cause of injury in stroke patients. However, the cause of a fall is complicated, and several types of risk factors are involved. Therefore, a comprehensive model to predict falls with high sensitivity and specificity is needed.

Methods

This study was a prospective study of 112 inpatients in a rehabilitation ward with follow-up interviews in patients' homes. Evaluations were performed 1 month after stroke and included the following factors: (1) status of cognition, depression, fear of fall and limb spasticity; (2) functional assessments [walking velocity and the Functional Independence Measure (FIM)]; and (3) objective, computerized gait and balance analyses. The outcome variable was the number of accidental falls during the 6-month follow-up

SUBMITTER: Wei TS 

PROVIDER: S-EPMC5441600 | biostudies-literature | 2017

REPOSITORIES: biostudies-literature