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ABSTRACT: Background
Cardiovascular disease (CVD) risk factors tend to cluster and interact multiplicatively and have been incorporated into risk equations such as the Framingham risk score, which can reasonably predict CVD over short- and long-term periods. Beyond risk factor levels at a single time point, recent evidence demonstrated that risk trajectories are differentially related to CVD risk. However, factors associated with suboptimal control or unstable CVD risk trajectories are not yet established.Objective
This study aims to examine factors associated with CVD risk trajectories in a semirural, multiethnic community-dwelling population.Methods
Data on demographic, socioeconomic, lifestyle, mental health, and cardiovascular factors were measured at baseline (2013) and
SUBMITTER: Johar H
PROVIDER: S-EPMC11467610 | biostudies-literature | 2024 Sep
REPOSITORIES: biostudies-literature