Development of an Acceleration Based Fall Risk Detector
NCT ID: NCT00767429
Last Updated: 2010-07-27
Study Results
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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UNKNOWN
NA
100 participants
INTERVENTIONAL
2008-08-31
2010-10-31
Brief Summary
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At the moment our group is performing a study titled 'identify subjects at risk for falling using accelerometry'. In this study, fall related movement characteristics (gait, balance, stumble reaction) are identified in healthy younger and older subjects under standardised laboratory circumstances. In this way, specific characteristics can be selected which are responsible for fall risk.
The aim of this study is investigating if the acceleration based fall risk detector can be applied in daily life with target groups.
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Detailed Description
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First fall risk is assessed in elderly using the Tinetti scale (score between 19-24) which is the gold standard for fall risk assessment . This scale consist of a gait and balance score. Only subjects who have a fall risk are included for further measurements.
1. 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 (antero-posterior, media-lateral and cranial-caudal) with a sample frequency of 100Hz.
2. 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.
3. The Get Up and Go test is performed: subjects start in sitting position, have to rise, walk 3m, turn around, walk back and sit again. The time needed to perform this test is measured.
4. 20 subjects (remaining in Scharweyerveld and Zorgboog) are monitored for one day and 20 elderly women (\>70y) (recruited at the F\&O policlinic MUMC)are measured for 5 successive days, to investigate the mobility and more fall related movement parameters. The accelerometer is attached to the sacrum in the morning. First the other 2 measurements are performed, and then subjects wear the device during the whole day. The accelerometer is small, light and ambulant which is not interfering with daily activities. Subjects have to keep a diary to note all activities performed during that day. THis will be used to explain the acceleration signal.
For the subject recruited from the F\&O poli, a fall diary is kept for one year were subjects have to note when a fall has happened. In addition muscle strength in measured in this population and a questionnaire concerning quality of life (Euroqol) is completed in this group.
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 perform the Get Up and Go test. Pearson correlation will also be used to validate the objective gait and balance test with the Tinetti scale. Differences in function tests between elderly at risk (measured in this study) and healthy subjects (measured in a previous study under lab conditions) will be investigated using ANOVA (p\< 0.005).
Conditions
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Study Design
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NA
SINGLE_GROUP
PREVENTION
NONE
Study Groups
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1
subjects with fall risk
fall risk detector
fall risk detector: stumbles, specific fall related movements, falls
Interventions
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fall risk detector
fall risk detector: stumbles, specific fall related movements, falls
Eligibility Criteria
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Inclusion Criteria
* Men and women older than 65 years at risk for falling - able to walk without walking aids - voluntary and willing to participate
* Fully competent
Exclusion Criteria
* Denying
* Very high fall risk (Tinetti score \< 19)
65 Years
90 Years
ALL
Yes
Sponsors
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Maastricht University Medical Center
OTHER
Responsible Party
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Univesity Maastricht
Principal Investigators
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kenneth Meijer, UD
Role: STUDY_CHAIR
University Maastricht
Locations
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Zorgboog
Bakel, Bakel, Netherlands
University Maastricht
Maastricht, Limburg, Netherlands
Fracture and osteoporose (F&O) of the policlinical MUMC
Maastricht, Limburg, Netherlands
Stichting Modae ZOrggrope locatie Scharwyerveld
Maastricht, Maastricht, Netherlands
Countries
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Central Contacts
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Facility Contacts
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Other Identifiers
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ABR 22858/NL22858.068.08
Identifier Type: -
Identifier Source: secondary_id
MEC 08-3-042
Identifier Type: -
Identifier Source: org_study_id
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