- McGill University
Over the course of the last five years, two clinical characteristics have been reported as predictive factors of dementia. Firstly, subjective cognitive issues (i.e., perceived changes in cognition in the absence of objective evidence) have been identified as the earliest clinical stage of major neurocognitive disorders (dementia). Secondly, altered gait performance, such as a slow walking speed, has also been associated with the appearance of dementia. Recently, a syndrome combining cognitive complaints and a slow gait, known as motoric cognitive risk syndrome (MCR) has been associated with the onset of Alzheimer’s Disease (AD) and vascular dementia (VD). There are mixed results concerning the type (AD or VD) of major neurocognitive condition (dementia) that is predicted by MCR syndrome. A stronger association with VD (compared to AD) has been reported in certain studies, whereas in others, AD was the only condition predicted by the presence of MCR. Cardiovascular disease risk factors (CVDRFs) such as hypertension, obesity, and diabetes contribute to vascular dementia. The association of MCR with CVDRFs has been reported in cohorts in different countries and in international, aggregated cohorts, but not in French cohorts. Indeed, the only published study of the French population found no significant difference between MCR and non-MCR subjects in arterial hypertension, dyslipidemia or diabetes. To date, no systematic, critical evaluation of studies with the aim of examining the link between CVDRFs and MCR syndrome has been completed. Consequently, it is difficult to know whether there is any link. We advance the hypothesis that MCR syndrome is linked to CVDRFs in the French population when the results of all published studies into MCR are aggregated.
> To determine whether MCR syndrome is associated with CVDRFs in a sample of elderly adults living in France in their own homes
> To provide a quantitative demonstration of the association between MCR and CVDRFs by means of a systematic examination of the literature
- January 2017: Agreement to access the GAIT database
- Analysis of the GAIT database
- Systematic literature review
- Authorship of an article in a scientific journal