- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT00765297
Identify Subjects at Risk for Falling Using Acceleration Based Gait Analysis System (stumble)
Study Overview
Status
Conditions
Detailed Description
To investigate fall risk objectively, fall related movement characteristics (based on gait and balance) and the ability to compensate for near falls are analyzed in younger and older (>60y) subjects under standardized laboratory conditions.
Four tests will be performed to link specific movement parameters, balance performance and the ability to recover from a trip with fall risk:
- Fall risk will be assessed using the Tinetti Scale, the gold standard for fall risk assessment . This scale consist of a gait and balance score. Based on this scale, subjects are classified as being at risk/ not at risk for falling.
- A gait test will be performed to analyze movement parameters. Subjects have to walk 6 times a 20 meter distance at preferred speed while a small (56mmx61mmx15mm), light weight (5g) and ambulant accelerometer is attached on the sacrum with an elastic belt. The accelerometer measures accelerations of the body in three directions (anterior-posterior, media-lateral and cranial-caudal) with a sample frequency of 100Hz.
- The balance ability will be tested by performing 4 balance tasks while the same accelerometer measures the movements of the body. Subjects have to stand with feet closed on a normal or foam surface while having the eyes open and closed.
- Finally a stumble experiment is done to assess the ability to compensate for a trip. Subjects are asked to walk at their preferred speed on a treadmill, while wearing the accelerometer attached at the sacrum. After 2 minutes of normal walking, stumbles are simulated unexpectedly using an extending tripping leash attached to both legs. The subjects are able to move freely due to unwinding and winding of the cord on a spill on a fixed frame behind the treadmill. This spill has a blocking device capable of blocking the leash very shortly. During the mid or initial swing of one of the legs, the examiner blocks the leash causing the subject to trip. Falling, however, is not possible due to a safety harness attached to the ceiling. When this harness starts bearing weight an emergency switch is engaged stopping the treadmill immediately. After a perturbation, subjects get several seconds to recover until a new perturbation is applied. This measurement is repeated while walking at a slow (40% Fr preferred speed) and fast (20% Fr preferred speed) speed. The whole experiment will be recorded on video to validate the acceleration based stumble detection.
To investigate the underlying mechanism of age related mobility changes, two other tests are incorporated:
- The cognition of the subjects will be tested using a reaction time test. Subjects sit behind the computer with their middle and forefinger on two keys of the typewriter. Four squares will appear at the computer screen. Or all squares are red and one of them will change in green (=uncued condition) or two red squares appear at the left (right) side while one square at the right (left) side will turn green. Subjects have to push the corresponding key on the typewriter as fast but also as accurate as possible. With this test the ability to change an automatic response (in stead of responding left when stimulus appears left) can be investigated using reaction times. First the subjects get an instruction, than they get the possibility to try and exercise 10 times, while afterwards the real test will start. 120 attempts are performed in which the cued and uncued stimuli appear with different time intervals (100ms, 250ms, 500ms, 750ms and 12000 ms).
- Muscle strength of the right lower leg is tested using the Cybex. Subjects have to produce maximal force during an extension and flexion test.
All acceleration data will be analyzed using specific algorithms programmed in Matlab(c). Statistical analysis will be performed in SPSS using pearson correlation to investigate correlations between gait parameters, balance characteristics and the ability to recover from a trip. Moreover Pearson correlations and regression analysis will be done to investigate the relation of cognition and muscle strength with fall risk (gait, stumble recovery and balance). Pearson correlation will also be used to validate the objective gait and balance test with the Berg Balance Scale. Differences in muscle strength, cognition gait, balance and compensation ability between younger and older subjects will be investigated using ANOVA (p< 0.005).
Study Type
Enrollment (Anticipated)
Phase
- Early Phase 1
Contacts and Locations
Study Contact
- Name: Rachel Senden, dr
- Phone Number: 06 34023131
- Email: rachel.senden@bw.unimaas.nl
Study Locations
-
-
Limburg
-
Maastricht, Limburg, Netherlands, 6200 MD
- Recruiting
- University Maastricht
-
Contact:
- Kenneth Meijer, UD
- Phone Number: 0433881384
- Email: kenneth.meijer@bw.unimaas.nl
-
Principal Investigator:
- Rachel Senden, Drs
-
-
Participation Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Genders Eligible for Study
Description
Inclusion Criteria:
- able to walk without walking aids
- signed informed consent
- willing to participate
- healthy volunteers = no musculo skeletal or neurological disease
- the younger volunteers are aged between 18 and 40 years, while the elderly are 60 years or older
Exclusion Criteria:
- history of dizziness
- vestibular dysfunction
- neurological disorders
- low-back pain
- lower extremity infirmity/pathology
- suffering from any osteoarthritic or musculo skeletal disease at the time of testing
- unable to walk
Study Plan
How is the study designed?
Design Details
- Primary Purpose: Prevention
- Allocation: Non-Randomized
- Interventional Model: Single Group Assignment
- Masking: None (Open Label)
Arms and Interventions
Participant Group / Arm |
Intervention / Treatment |
---|---|
Experimental: 1
Healthy young 18-40years
|
movement pattern (gait,balance) of young subjects recovery of a stumble in young subjects
|
Experimental: 2
Healthy elderly
|
age related gait changes influencing movement pattern different pattern to recover from a trip
|
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Time Frame |
---|---|
accelerations and acceleration based movement parameters
Time Frame: 1 time (1,5 -2 hours)
|
1 time (1,5 -2 hours)
|
Collaborators and Investigators
Investigators
- Study Chair: kenneth Meijer, UD, University Maastricht
Study record dates
Study Major Dates
Study Start
Primary Completion (Anticipated)
Study Completion (Anticipated)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Estimate)
Study Record Updates
Last Update Posted (Estimate)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Other Study ID Numbers
- MEC 07-3-045
- NL17267.068.07
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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