Document Type

Article

Source of Publication

American Journal of Epidemiology

Publication Date

4-21-2025

Abstract

Our aim is to investigate the association between visit-to-visit variability of nine risk factors and incident cardiovascular disease (CVD) in a large multi-ethnic population cohort study. We used the Multi-Ethnic Study of Atherosclerosis (MESA) cohort. We included individuals with no previous history of CVD, with at least three repeated measurements on each risk factor including total cholesterol, HDL, LDL, non-HDL, triglyceride, Chol/HDL ratio, Diastolic Blood Pressure (DBP), Systolic Blood Pressure (DBP), and Body mass index (BMI). Visit-to-visit variability was estimated via the variability independent of the mean (VIM). A Cox proportional hazards model was used to estimate the association between visit-to-visit variability and the hazard of developing CVD. There was a statistically significant association between visit-to-visit variability in SBP, BMI, HDL and the rate of incident CVD. This rate was higher in individuals with high visit-to-visit variability for SBP [HR: 1.28, 95% CI: 1.01-1.63, P = 0.04]; BMI [HR: 1.58, 95% CI: 1.25-2.00, P < 0.001]; and HDL [HR: 1.3, 95% CI: 1.03-1.65, P = 0.025], compared to those with low visit to-visit variability. Our findings suggest that visit-to-visit variability in some CVD risk factors could be independently associated with incident CVD and may be useful to clinicians in risk stratification.

ISSN

0002-9262

Publisher

Oxford University Press (OUP)

Disciplines

Medicine and Health Sciences

Keywords

Cardiovascular disease, incidence of CVD, Risk factors, Variability Independent of the mean, Visit-to-visit variability

Scopus ID

105018094139

Creative Commons License

Creative Commons Attribution 4.0 International License
This work is licensed under a Creative Commons Attribution 4.0 International License.

Indexed in Scopus

yes

Open Access

yes

Open Access Type

Hybrid: This publication is openly available in a subscription-based journal/series

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