Risk Factors for Falls and Neurocognitive Disorders CLSA

Jewish General Hospital

Status: Active, not recruiting

Conditions: Geriatrics; Neurocognitive Disorders

Treatments: Other: Data collection

Study type: Observational

Funder types: Other

Identifiers

NCT03628768

2019-1453

Details and patient eligibility

About

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

Full 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.

Enrollment: 12,000 estimated patients

Sex: All

Ages: 65+ years old

Volunteers: No Healthy Volunteers

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)

Trial design

12,000 participants in 6 patient groups

Healthy / Non fallers

Description:

Older cognitively healthy individuals Non fallers

Treatment:

Other: Data collection

Healthy / Fallers without injuries

Description:

Older cognitively healthy individuals Fallers without injuries

Treatment:

Other: Data collection

Healthy / Fallers with injuries

Description:

Older cognitively healthy individuals Fallers with injuries

Treatment:

Other: Data collection

MCI / Non fallers

Description:

Older individuals with MCI and mild dementia Non fallers

Treatment:

Other: Data collection

MCI / Fallers without injury

Description:

Older individuals with MCI and mild dementia Fallers without injuries

Treatment:

Other: Data collection

MCI / Fallers with injury

Description:

Older individuals with MCI and mild dementia Fallers with injuries

Treatment:

Other: Data collection