Balance and Gait Characteristics to Predict Accidental Falls in Community-dwelling Stroke Elderly

NCT ID: NCT01825486

Last Updated: 2013-04-05

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

COMPLETED

Study Classification

OBSERVATIONAL

Study Start Date

2005-08-31

Study Completion Date

2007-07-31

Brief Summary

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Background: Accidental falls result in major physical and psychological morbidity in the elderly, especially stroke patients. To get optimal prevention of stroke falls, it is crucial to identify independent risk factors from multivariate analysis of related balance and gait parameters.

Aim: To evaluate the effects of balance and gait characteristics in determining whether or not accidental falls may happen. To investigate if the balance and gait parameters affect the time from lesion to when (and if) patients suffer from falls. To compare differences of balance and gait parameters in accidental fall patients between those with severe accidental injuries and those without severe injuries.

Methods: The 2-year observational cohort study will enroll 706 elderly stroke patients, who have not had a previous stroke. They will be retrieved from the Inpatient department and followed-up regularly in the Outpatient department when they are discharged. All subjects will be evaluated at 1 month and 6 months after stroke. These evaluations will include: mental, cognition and depression status; lower-limb muscle strength assessed by a dynamometer as well as range of motion of joints assessed by a biaxial electro-goniometry; functional independence measure; balance and gait pattern will be assessed by both clinical observation and objective laboratory examination (a dynamic posturography and computerized gait analysis system); falls and fall-related injuries during the proceeding year. Differences in baseline characteristics are tested by one-way ANOVA, Mann Whitney U or t tests, if appropriate. The investigators will identify the independent risk factors of accidental falls with logistic regression and use the log rank statistic of Kaplan-Meier survival curve to differentiate the risk of accidental falls or fall-related injuries in different groups.

Detailed Description

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Conditions

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Cerebrovascular Accident Accidental Falls

Study Design

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Observational Model Type

COHORT

Study Time Perspective

PROSPECTIVE

Study Groups

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accidental falls

accidental falls

Intervention Type BEHAVIORAL

Interventions

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accidental falls

Intervention Type BEHAVIORAL

Eligibility Criteria

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Inclusion Criteria

* age\>65
* confirmed stroke by CT or MRI
* first-ever stroke
* with walking ability after stroke onset 1 month

Exclusion Criteria

* fall history before stroke
* living in nursing home
* unstable physical sign
* seizure attack during study
* impaired cognition
Minimum Eligible Age

65 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

No

Sponsors

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Changhua Christian Hospital

OTHER

Sponsor Role lead

Responsible Party

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Ta-Sen Wei,MD

Director, Physical Medical and Rehabilitation, Principal Investigator, Clinical Professor

Responsibility Role PRINCIPAL_INVESTIGATOR

Locations

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Changhua Christian Hospital Taiwan

Changhua, , Taiwan

Site Status

Countries

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Taiwan

Other Identifiers

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I050309

Identifier Type: -

Identifier Source: org_study_id

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