The association of left ventricular mass with cardiovascular risk factors in African American women.
Publication/Presentation Date
7-1-2000
Abstract
BACKGROUND: African American women have disproportionately high rates of myocardial infarction and stroke. Left ventricular hypertrophy is an independent risk factor for cardiovascular disease. Increases in left ventricular mass (LVM) may precede the expression of hypertension. The purpose of this study was to determine whether LVM is related to cardiovascular risk variables in healthy, premenopausal African American women.
METHODS: Normotensive or borderline hypertensive nondiabetic African American women (N = 52; mean age, 31 years) underwent anthropometric and blood pressure measurements, oral glucose tolerance test, euglycemic clamp, fasting lipid profile, and two-dimensional echocardiography. LVM was calculated by the cube root formula and adjusted for height [LVM index (LVMI)].
RESULTS: LVMI correlated with body mass index (r = .36, P = 0.009), systolic blood pressure (r = .44, P = 0.001), diastolic blood pressure (r = .43, P = 0.002), and central body fat (r = .42, P = 0.002). LVMI also directly correlated with lipoprotein (a) (r = .34, P = 0.02). Significant independent relationships of other metabolic variables with LVMI were not detected.
DISCUSSION: These data show that increased LVMI is associated with body mass index and central obesity, but not with lipids, insulin resistance, or insulin sensitivity. LVMI is also associated with blood pressure before the expression of severe hypertension in healthy, premenopausal African American women.
Volume
320
Issue
1
First Page
13
Last Page
17
ISSN
0002-9629
Published In/Presented At
Sherif, K., Barrett, M., Kushner, H., & Falkner, B. (2000). The association of left ventricular mass with cardiovascular risk factors in African American women. The American journal of the medical sciences, 320(1), 13–17. https://doi.org/10.1097/00000441-200007000-00003
Disciplines
Business Administration, Management, and Operations | Health and Medical Administration | Management Sciences and Quantitative Methods
PubMedID
10910368
Department(s)
Administration and Leadership
Document Type
Article