Systolic blood pressure variability in late-life predicts cognitive trajectory and risk of Alzheimer's disease.

ABSTRACT:

Background

The relationship of systolic blood pressure variability (SBPV) with Alzheimer's disease (AD) remains controversial. We aimed to explore the roles of SBPV in predicting AD incidence and to test the pathways that mediated the relationship of SBPV with cognitive functions.

Methods

Longitudinal data across 96 months (T₀ to T₄) were derived from the Alzheimer's disease Neuroimaging Initiative cohort. SBPV for each participant was calculated based on the four measurements of SBP across 24 months (T₀ to T₃). At T₃, logistic regression models were used to test the SBPV difference between 86 new-onset AD and 743 controls. Linear regression models were used to test the associations of SBPV with cognition and AD imaging

SUBMITTER: Li XL 

PROVIDER: S-EPMC11483855 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature