The effects of multiple coronary artery disease risk factors on subclinical atherosclerosis in a rural population in the United States

被引:28
|
作者
Mamudu, Hadii M. [1 ]
Paul, Timir K. [2 ]
Wang, Liang [3 ]
Veeranki, Sreenivas P. [4 ]
Panchal, Hemang B. [5 ]
Alamian, Arsham [3 ]
Sarnosky, Kamrie [3 ]
Budoff, Matthew [6 ]
机构
[1] E Tennessee State Univ, Coll Publ Hlth, Dept Hlth Serv Management & Policy, POB 70264, Johnson City, TN 37614 USA
[2] E Tennessee State Univ, James H Quillen Coll Med, Div Cardiol, 329 N State Franklin Rd, Johnson City, TN 37604 USA
[3] E Tennessee State Univ, Coll Publ Hlth, Dept Biostat & Epidemiol, Johnson City, TN 37614 USA
[4] Univ Texas Med Branch, Dept Prevent Med & Community Hlth, Galveston, TX 77555 USA
[5] E Tennessee State Univ, James H Quillen Coll Med, Dept Internal Med, Johnson City, TN 37604 USA
[6] Los Angeles Biomed Res Inst, 1124 W Carson St, Torrance, CA 90502 USA
关键词
Subclinical atherosclerosis; Coronary artery calcium; Coronary artery disease; Appalachia; Multiple risk factors; Clustering of risk factors; QUALITY-OF-LIFE; CARDIOVASCULAR-DISEASE; HEART-DISEASE; METABOLIC SYNDROME; FACTOR CLUSTERS; YOUNG-ADULTS; HEALTH; IMPACT; CALCIUM; ASSOCIATION;
D O I
10.1016/j.ypmed.2016.04.003
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
Introduction. The risk factors for cardiovascular disease (CVD) are associated with coronary atherosclerosis and having multiple risk factors potentiates atherosclerosis. This study examined the prevalence of multiple biological and lifestyle/behavioral risk factors and their association with coronary artery calcium (CAC), a marker for subclinical coronary atherosclerosis. Methods. This is a cross-sectional study of 1607 community-dwelling asymptomatic individuals from central Appalachia who participated in CAC screening between January 2011 and December 2012. Data on demographics (sex and age) and 7 traditional risk factors for coronary artery disease (CAD) were collected and categorized into 5 groups (0-1, 2, 3, 4, and >= 5). Prevalence of these risk factors and CAC scores (0, 1-99, 100-399, >= 400) were assessed, and the impact of the number of risk factors on CAC scores were delineated using multiple logistic regression. Results. Over 98% of participants had >= 1 risk factor. While obesity, diabetes, hypertension, and family history of CAD significantly increased the odds of having CAC, CAC scores significantly increased with number of risk factors. After adjusting for demographic factors, having 3, 4, and >= 5 risk factors was significantly associated with increased odds of having higher CAC scores when compared to zero CAC score by more than one and half times [OR = 1.65, CI (1.20-2.25)], two times [OR = 2.32, CI (1.67-3.23)] and three times [OR = 3.45, CI (2.424.92)], respectively. Conclusion. The high prevalence of multiple risk factors in the study population suggests the need for aggressive multiple risk factors interventions for primary prevention of CAD, which could address CVD health disparities. (C) 2016 Elsevier Inc. All rights reserved.
引用
收藏
页码:140 / 146
页数:7
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