Abstract
BACKGROUND: Obesity is a cardiovascular risk factor and coronary artery calcium (CAC) is frequently used to assess coronary atherosclerosis burden. The purpose of this study was to evaluate body mass index (BMI), waist circumference (WC), and waist-to-height ratio (WHtR) as predictors of CAC incidence.
METHODS: We analyzed ELSA-Brasil cohort participants with no cardiovascular disease who had an initial CAC score of zero and repeated the test. Multivariate logistic regression analyses were performed to assess BMI, WC, and WHtR as predictors of CAC incidence.
FINDINGS: A total of 2721 participants (mean age 48.1 ± 7.56 years, 62.6% females) self-reported as White (57%), Brown/mixed (22.8%), Black (15.4%), Asian (4%) or Native/Indigenous (0.9%) were analyzed. CAC incidence after a mean of 5.24 years was 15.5% (confidence interval [CI] 95%: 14.2-17%). In unadjusted analysis, BMI, WC, and WHtR were positively associated with CAC incidence with an odds ratio (OR) of 1.19 (CI 95%: 1.08-1.31), 1.37 (CI 95% 1.23-1.52) and 1.39 (CI 95%: 1.25-1.54) per standard deviation, respectively. In the fully adjusted model, WHtR was the only independent predictor of CAC incidence, OR: 1.18 (CI 95% 1.03-1.35) per standard deviation. This effect was mainly driven by individuals with BMI <30 kg/m2.
INTERPRETATION: WHtR was the only independent anthropometric measure predictor of atherosclerosis incidence assessed by coronary artery calcium score. This effect is particularly relevant in individuals with BMI <30 kg/m2.
FUNDING: National Council for Scientific and Technological Development (CNPq), Brazil.