Hadii M Mamudu, Antwan Jones, Timir Paul, Pooja Subedi, Liang Wang, Arsham Alamian, Ali E Alamin, Gerald Blackwell, Matthew Budoff
Journal: The American journal of the medical sciences 2018;355(2):140-148
PMID: 29406041
BACKGROUND
This study aimed to examine the association between subclinical atherosclerosis (ascertained as coronary artery calcium [CAC]) in asymptomatic individuals in the Central Appalachian region of the United States and individual- and geographic-level factors.
MATERIALS AND METHODS
Data were obtained from participants in CAC screening between 2012 and 2016. CAC score was assessed as CAC = 0 (no plaque), 1 ≤ CAC ≤ 99 (mild plaque), 100 ≤ CAC ≤ 399 (moderate plaque) and CAC ≥ 400 (severe plaque). Additionally, data on demographics (age, sex and race), medical conditions, lifestyle factors and family history of coronary artery disease were obtained. Further, zip codes of place of residence for participants were used to generate geographic-level data. Descriptive statistics were used to estimate the prevalence of CAC, and multinomial logistic regression models were used to delineate significant factors.
RESULTS
Of 1,512 participants, 57.6% had CAC > 0. The prevalence of mild, moderate and severe plaques was 31.6%, 16.3% and 9.7%, respectively. Demographics (age and sex), medical conditions, lifestyle factors and family history of coronary artery disease were associated with increased risk for subclinical atherosclerosis. Further, the proportion of minority residents significantly increased the risk for severe plaque (relative risk ratio = 1.06, P = 0.04) and the proportion of residents on government assistance significantly decreased the risk for mild plaque (relative risk ratio = 0.93, P = 0.03).
CONCLUSIONS
The results imply that the proportion of minority residents in a geographic area is associated with increased relative risk for subclinical atherosclerosis, while the proportion of residents on government assistance decreased such risk. However, future geographic or neighborhood-level studies with a larger sample size are needed to delineate further the consistency of these results in the Central Appalachian population.
Copyright © 2018 Southern Society for Clinical Investigation. Published by Elsevier Inc. All rights reserved.
Medical:
Other Literature Sources:
© Copyright 2026, Nutrition Evidence
We use cookies to improve your experience and analyze site traffic with Google Analytics. By continuing to use our site, you agree to our use of cookies. Learn more.