Ignite Creation Date:
2025-12-24 @ 4:47 PM
Ignite Modification Date:
2026-02-22 @ 3:56 PM
Study NCT ID:
NCT03978650
Status:
ACTIVE_NOT_RECRUITING
Last Update Posted:
2024-02-23
First Post:
2019-06-04
Is NOT Gene Therapy:
True
Has Adverse Events:
False
Brief Title:
Risk Factors for Falls and Fall-related Injuries Associated With Mild Neurocognitive Disorders
Sponsor:
Jewish General Hospital
Organization:
Study Overview
Official Title:
Risk Factors for Falls and Fall-related Injuries Associated With Mild Neurocognitive Disorders in the Older Canadian Population: A Population-based, Prospective, Longitudinal, Observational Cohort Study
Status:
ACTIVE_NOT_RECRUITING
Status Verified Date:
2024-02
Last Known Status:
None
Delayed Posting:
No
If Stopped, Why?:
Not Stopped
Has Expanded Access:
False
If Expanded Access, NCT#:
N/A
Has Expanded Access, NCT# Status:
N/A
Acronym:
None
Brief Summary:
This study evaluates the risk for incident falls and fall-related injuries at the onset of neurocognitive disorders in older adults participating in the Canadian Longitudinal Study
Detailed Description:
Falls are frequent events in adults over age 65 (up to 30% each year in Canada). They are a major Canadian public health concern, which negatively impacts health and quality of life of fallers, and health care system. Neurocognitive disorders are strongly associated with falls and fall-related injuries.
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).
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).
Study Oversight
Has Oversight DMC:
False
Is a FDA Regulated Drug?:
False
Is a FDA Regulated Device?:
False
Is an Unapproved Device?:
None
Is a PPSD?:
None
Is a US Export?:
None
Is an FDA AA801 Violation?: