The Construction of a Multidomain Risk Model of Alzheimer's Disease and Related Dementias.

ABSTRACT:

Background

Alzheimer's disease (AD) and related dementia (ADRD) risk is affected by multiple dependent risk factors; however, there is no consensus about their relative impact in the development of these disorders.

Objective

To rank the effects of potentially dependent risk factors and identify an optimal parsimonious set of measures for predicting AD/ADRD risk from a larger pool of potentially correlated predictors.

Methods

We used diagnosis record, survey, and genetic data from the Health and Retirement Study to assess the relative predictive strength of AD/ADRD risk factors spanning several domains: comorbidities, demographics/socioeconomics, health-related behavior, genetics, and environmental exposure. A modified stepwise-AIC-best-subset blanket algorithm was the

SUBMITTER: Akushevich I 

PROVIDER: S-EPMC10657690 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature