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Dataset Information

Characterization of vascular disease risk in postmenopausal women and its association with cognitive performance.


ABSTRACT:

Objectives

While global measures of cardiovascular (CV) risk are used to guide prevention and treatment decisions, these estimates fail to account for the considerable interindividual variability in pre-clinical risk status. This study investigated heterogeneity in CV risk factor profiles and its association with demographic, genetic, and cognitive variables.

Methods

A latent profile analysis was applied to data from 727 recently postmenopausal women enrolled in the Kronos Early Estrogen Prevention Study (KEEPS). Women were cognitively healthy, within three years of their last menstrual period, and free of current or past CV disease. Education level, apolipoprotein E ε4 allele (APOE4), ethnicity, and age were modeled as predictors of latent class membership. The association

SUBMITTER: Dowling NM 

PROVIDER: S-EPMC3714288 | biostudies-literature | 2013

REPOSITORIES: biostudies-literature

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