Factors associated with risk of transition to high likelihood of dementia profile in population‐based surveys of aging: a longitudinal analysis

Dementia (Major Neurocognitive Disorder) is associated with acquired cognitive impairment and functional decline in daily life. Several population‐based surveys of aging similar to the American Health and Retirement Study exist worldwide. In these studies, cognitive performance and functional status are available, but not the diagnosis of dementia. We previously identified participants with high likelihood of dementia using cross‐sectional data from these studies and unsupervised machine‐learning (Cleret de Langavant et al., 2018; 2020). Here, we propose an application of this method by assessing simultaneously six waves, i.e., minimum 11‐year follow‐up for each participant, in order to study factors associated with risk of transition toward dementia.