Condition or disease | Intervention/treatment |
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Old Age Fall Injury Neurocognitive Disorders | Other: Observational |
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).
Study Type : | Observational |
Estimated Enrollment : | 12000 participants |
Observational Model: | Cohort |
Time Perspective: | Prospective |
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 |
Actual Study Start Date : | July 23, 2019 |
Estimated Primary Completion Date : | August 1, 2021 |
Estimated Study Completion Date : | January 1, 2022 |
Tracking Information | |||||
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First Submitted Date | June 4, 2019 | ||||
First Posted Date | June 7, 2019 | ||||
Last Update Posted Date | July 29, 2020 | ||||
Actual Study Start Date | July 23, 2019 | ||||
Estimated Primary Completion Date | August 1, 2021 (Final data collection date for primary outcome measure) | ||||
Current Primary Outcome Measures |
Fall Injury [ Time Frame: 18 months ] Incident falls occurring during the 18 months. Information related fall- injuries will also be collected, including fractures, dislocations, voluminous intracranial or peripheral hematomas, trauma of the face, and cutaneous lacerations of significant size and/or deeper than the hypodermis, possibly resulting in medical consultation or hospitalization.
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Original Primary Outcome Measures | Same as current | ||||
Change History | |||||
Current Secondary Outcome Measures |
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Original Secondary Outcome Measures | Same as current | ||||
Current Other Pre-specified Outcome Measures | Not Provided | ||||
Original Other Pre-specified Outcome Measures | Not Provided | ||||
Descriptive Information | |||||
Brief Title | Risk Factors for Falls and Fall-related Injuries Associated With Mild Neurocognitive Disorders | ||||
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 | ||||
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). |
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Study Type | Observational | ||||
Study Design | Observational Model: Cohort Time Perspective: Prospective |
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Target Follow-Up Duration | Not Provided | ||||
Biospecimen | Not Provided | ||||
Sampling Method | Non-Probability Sample | ||||
Study Population |
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Condition |
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Intervention | Other: Observational
Participants from the Canadian Longitudinal Study on Aging will be evaluated for cognitive status, occurrence of falls, and fall-related injuries.
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Study Groups/Cohorts | Not Provided | ||||
Publications * | Not Provided | ||||
* Includes publications given by the data provider as well as publications identified by ClinicalTrials.gov Identifier (NCT Number) in Medline. |
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Recruitment Information | |||||
Recruitment Status | Active, not recruiting | ||||
Estimated Enrollment |
12000 | ||||
Original Estimated Enrollment | Same as current | ||||
Estimated Study Completion Date | January 1, 2022 | ||||
Estimated Primary Completion Date | August 1, 2021 (Final data collection date for primary outcome measure) | ||||
Eligibility Criteria |
Inclusion Criteria:
Exclusion Criteria:
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Sex/Gender |
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Ages | 65 Years and older (Older Adult) | ||||
Accepts Healthy Volunteers | No | ||||
Contacts | Contact information is only displayed when the study is recruiting subjects | ||||
Listed Location Countries | Canada | ||||
Removed Location Countries | |||||
Administrative Information | |||||
NCT Number | NCT03978650 | ||||
Other Study ID Numbers | 2020-1804 | ||||
Has Data Monitoring Committee | No | ||||
U.S. FDA-regulated Product |
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IPD Sharing Statement | Not Provided | ||||
Responsible Party | Olivier Beauchet, Jewish General Hospital | ||||
Study Sponsor | Jewish General Hospital | ||||
Collaborators | Not Provided | ||||
Investigators |
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PRS Account | Jewish General Hospital | ||||
Verification Date | July 2020 |