Unequal Exposure or Unequal Vulnerability? Contributions of Neighborhood Conditions and Cardiovascular Risk Factors to Socioeconomic Inequality in Incident Cardiovascular Disease in the Multi-Ethnic Study of Atherosclerosis

Abstract

Risk factors can drive socioeconomic inequalities in cardiovascular disease (CVD) through differential exposure and differential vulnerability. We show how econometric decomposition directly enables simultaneous, policy-oriented assessment of these two mechanisms. We specifically estimated contributions via these mechanisms of neighborhood environment and proximal risk factors to socioeconomic inequality in CVD incidence. We followed 5,608 participants in the Multi-Ethnic Study of Atherosclerosis (2000–2012) until the first CVD event (median follow-up 12.2 years). We used a summary measure of baseline socioeconomic position (SEP). Covariates included baseline demographics, neighborhood, psychosocial, behavioral, and biomedical risk factors. Using Poisson models, we decomposed the difference (inequality) in incidence rates between low- and high-SEP groups into contributions of 1) differences in covariate means (differential exposure), and 2) differences in CVD risk associated with covariates (differential vulnerability). Notwithstanding large uncertainty in neighborhood estimates, our analysis suggests that differential exposure to poorer neighborhood socioeconomic conditions, adverse social environment, diabetes, and hypertension accounts for most of inequality. Psychosocial and behavioral contributions were negligible. Further, neighborhood SEP, female gender, and White race were more strongly associated with CVD among low-SEP (vs. high-SEP) participants. These differentials in vulnerability also accounted for nontrivial portions of the inequality, and could have important implications for intervention.