Identification of risk of accidents in healthy elderly and with Parkinson's Disease during street crossing simulation: A study based on gait characteristics
Not Applicable
Recruiting
- Conditions
- Parkinson's disease, healthy elderlyC10.228.140.079.862.500M01.060.116.100
- Registration Number
- RBR-4vwqck
- Lead Sponsor
- niversidade Estadual Paulista Júlio de Mesquita Filho
- Brief Summary
Not available
- Detailed Description
Not available
Recruitment & Eligibility
- Status
- Recruiting
- Sex
- Not specified
- Target Recruitment
- Not specified
Inclusion Criteria
No pain, fracture, or serious injury to soft tissues in the 6 months previous to the study; no history of cognitive, respiratory or cardiovascular disorders not controlled; elderly with Parkinson's disease be classified in stages I to III of Hoehn Yahr scale; elderly with Parkinson's disease not be in pharmacological adaptation phase.
Exclusion Criteria
Individuals who present uncontrolled cardiovascular changes; to present score lower than 24 on the Mini Mental State Examination that will be applied before the collections.
Study & Design
- Study Type
- Observational
- Study Design
- Not specified
- Primary Outcome Measures
Name Time Method It is expected that elderly with Parkinson's disease present kinematic variables different than that presented by healthy elderly in the 3 different conditions that they will be subjected. For it will be used GAITRite system that informs data of the step length, step width, gait speed, cadence and step time, while performing gait in prefered speed; gait during street crossing simulation with normal time in pedestrian traffic light; gait during street crossing simulation with reduced time in pedestrian traffic light. The values of the collected data will be presented as means and standard deviations and the significance level for all statistical tests will be set at p lower than 0.05.
- Secondary Outcome Measures
Name Time Method Check for risk of falls in elderly healthy and with Parkinson's disease during street crossing simulation. For it, it will be compared the gait kinematic variables in prefered speed and gait during street crossing simulation. If the data of step length, step width and gait speed were significantly lower (p lower than 0.05) in gait during street crossing simulation than in gait with prefered speed, may indicate risk of falls.