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

Status
Completed
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT01825486
Enrollment
Unknown
Registered
2013-04-05
Start date
2005-08-31
Completion date
2007-07-31
Last updated
2013-04-05

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Accidental Falls, Cerebrovascular Accident

Keywords

Balance, Gait characteristics

Brief summary

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.

Interventions

BEHAVIORALaccidental falls

Sponsors

Changhua Christian Hospital
Lead SponsorOTHER

Study design

Observational model
COHORT
Time perspective
PROSPECTIVE

Eligibility

Sex/Gender
ALL
Age
65 Years to No maximum
Healthy volunteers
No

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

Design outcomes

Primary

MeasureTime frameDescription
Computerized balance evaluation1 month after the first strokecomputerized balance and gait evaluation by a posturography and gait analysis system

Secondary

MeasureTime frameDescription
Geriatric Depression Scale1 month after the first strokeGeriatric Depression Scale to measure depression

Countries

Taiwan

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026