Risk Factors for Falls and Fall-related Injuries Associated With Mild Neurocognitive Disorders
NCT ID: NCT03978650
Last Updated: 2024-02-23
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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ACTIVE_NOT_RECRUITING
12000 participants
OBSERVATIONAL
2019-07-23
2026-01-01
Brief Summary
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Detailed Description
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Several clinical characteristics, identified previously as risk factors for falls in the older population and in older adults with neurocognitive disorders are selected in the Canadian Longitudinal Study On Aging. The performance criteria of different statistical models will be compared for the association of neurocognitive disorders with falls and fall-related injuries. Six linear statistical models (i.e., logistic regression, discriminant analysis, Bayes network algorithm, decision tree, random forest, boosted trees), Factor Mixture Models and two different artificial neural network (i.e., multilayer perceptron and the neuroevolution of augmenting topologies).
Conditions
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Study Design
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COHORT
PROSPECTIVE
Interventions
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Observational
Participants from the Canadian Longitudinal Study on Aging will be evaluated for cognitive status, occurrence of falls, and fall-related injuries.
Eligibility Criteria
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Inclusion Criteria
* Men and women who live in Canada
Exclusion Criteria
* A fall resulting from acute medical event and/or an external factor
* Moderate to severe dementia
65 Years
ALL
No
Sponsors
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Jewish General Hospital
OTHER
Responsible Party
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Olivier Beauchet
MD, Professor of Geriatrics
Principal Investigators
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Olivier Beauchet, MD
Role: PRINCIPAL_INVESTIGATOR
Jewish General Hospital
Locations
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Jewish General Hospital
Montreal, Quebec, Canada
Countries
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Other Identifiers
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2020-1804
Identifier Type: -
Identifier Source: org_study_id
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