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Modifying traditional risk factors is the mainstay of cardiovascular prevention. Accumulating evidence, however, suggests that even if risk factors are equally controlled across diverse populations, disparities in coronary heart disease (CHD) burden remain, with upstream mediators of risk, such as low socioeconomic status (SES), often implicated. These researchers made use of a computer simulation, the Cardiovascular Disease Policy Model, to examine the proportion of cardiovascular risk attributable to traditional risk factors versus low SES.
Computer simulations used several nationally representative datasets and secondary analyses of cohort data in the U.S. (total, 125.1 million individuals aged 35 to 64) to model early myocardial infarcti…