Risk Factors for Falls and Neurocognitive Disorders CLSA

NCT ID: NCT03628768

Last Updated: 2024-09-19

Basic Information

• Recruitment Status: ACTIVE_NOT_RECRUITING
• Total Enrollment: 12000 participants
• Study Classification: OBSERVATIONAL
• Study Start Date: 2019-07-23
• Study Completion Date: 2026-02-28

Brief Summary

The study evaluates the association between the neurocognitive decline and falls.

Detailed Description

Falls in older adults are a major Canadian public health concern because: 1) They have a high prevalence and incidence (e.g., up to 30% each year in Canada, regardless the cognitive status of fallers), 2) They negatively impact an individual's health condition (e.g., hip fracture) and quality of life (e.g., social withdraw), and 3) They impose a high financial burden on the Canadian health care system (e.g., $2 billion per year). Major neurocognitive disorders are strongly associated with falls and their adverse outcomes. There is a greater risk for falls and fall-related injuries in cognitively impaired individuals, more than doubled compared to cognitively healthy individuals (CHI). The nature of the interactions between neurocognitive disorders and the other risk factors for falls and fall-related injuries are still a matter of debate. For instance, the presence of specific patterns (i.e., types and combinations) of risk factors for falls and fall-related injuries associated with neurocognitive disorders at their onset (i.e., mild cognitive impairment [MCI] and mild dementia) compared to CHI is questioned. Recently, the investigators howed that the identification of risk factors for falls is influenced by the method of data analysis used. The investigators demonstrated that emerging modeling techniques such as artificial neural networks (ANNs) improve the performance criteria of fall prediction compared to classical linear models. Other methods such as Factor Mixture Models (FMMs) may also be helpful in identification of patterns of risk factors for falls and fall-related injuries associated with neurocognitive disorders. Using baseline data from the Canadian Longitudinal Study on Aging (CLSA), the investigator will examine the patterns (i.e., types and combinations) of risk factors for falls and fall-related injuries associated with neurocognitive disorders at their onset by 1) Examining the epidemiology of falls and fall-related injuries, and 2) Modeling and comparing the associations of risk for falls and fall-related injuries between cognitively healthy and impaired (i.e., MCI and mild dementia) older adults participating in the CLSA.

Conditions

Neurocognitive Disorders; Geriatrics

Study Design

• Observational Model Type: COHORT
• Study Time Perspective: CROSS_SECTIONAL

Study Groups

Healthy / Non fallers

Older cognitively healthy individuals Non fallers

Data collection

Intervention Type: OTHER

telephone interview questionnaire, in-home face-to-face interview, and data from the Collection Site

Healthy / Fallers without injuries

Older cognitively healthy individuals Fallers without injuries

Data collection

Intervention Type: OTHER

telephone interview questionnaire, in-home face-to-face interview, and data from the Collection Site

Healthy / Fallers with injuries

Older cognitively healthy individuals Fallers with injuries

Data collection

Intervention Type: OTHER

telephone interview questionnaire, in-home face-to-face interview, and data from the Collection Site

MCI / Non fallers

Older individuals with MCI and mild dementia Non fallers

Data collection

Intervention Type: OTHER

telephone interview questionnaire, in-home face-to-face interview, and data from the Collection Site

MCI / Fallers without injury

Older individuals with MCI and mild dementia Fallers without injuries

Data collection

Intervention Type: OTHER

telephone interview questionnaire, in-home face-to-face interview, and data from the Collection Site

MCI / Fallers with injury

Older individuals with MCI and mild dementia Fallers with injuries

Data collection

Intervention Type: OTHER

telephone interview questionnaire, in-home face-to-face interview, and data from the Collection Site

Interventions

Data collection

telephone interview questionnaire, in-home face-to-face interview, and data from the Collection Site

Intervention Type: OTHER

Eligibility Criteria

Inclusion Criteria

• Age ≥ 65 and
• Participants of the Comprehensive CLSA (i.e., individuals who participated in a 90-minute in-home face-to-face interview, and a visit to one of 11 Data Collection Sites across Canada where they took part in a range of physical assessments).

Exclusion Criteria

• A fall resulting from acute medical events and/or external force,
• Moderate to severe dementia (estimated from performance on cognitive tests and scores of the Activity of Daily Living (ADL) and Instrumental Activity Daily Living (IADL) scales. Abnormal scores will be defined as 2 Standard Deviations (SDs) or more below the normal score of all cognitive tests associated with scores of ADL (/6) <3 and a score of IADL (/8) <4)

• Minimum Eligible Age: 65 Years
• Eligible Sex: ALL
• Accepts Healthy Volunteers: No

Sponsors

Jewish General Hospital

OTHER

Sponsor Role: lead

Responsible Party

Olivier Beauchet

Professor of Geriatrics

Responsibility Role: PRINCIPAL_INVESTIGATOR

Principal Investigators

Olivier Beauchet, MD

Role: PRINCIPAL_INVESTIGATOR

Jewish General Hospital

Locations

Jewish General Hospital

Montreal, Quebec, Canada

Countries

Canada

Other Identifiers

2019-1453

Identifier Type: -

Identifier Source: org_study_id