Abstract

Introduction: There is emerging evidence that ethnic discrimination, commonly experienced among U.S. Hispanics, is associated with depressive symptoms, increasing cardiovascular disease (CVD) risk. Genetic variants in dopaminergic pathways may moderate this association. The catechol-O-methyltransferase Val158Met polymorphism is a potential candidate because the Met allele is associated with increased risk for depressive symptoms. The purposes of this study were to examine associations among ethnic discrimination, Val158Met polymorphism, and depressive symptoms, and to explore if Val158Met moderates the association between discrimination and depressive symptoms in Hispanic adults. Methods: Participants were 124 Hispanic adults with 2+ CVD risk factors. Ethnic discrimination was measured with the Experiences of Discrimination instrument, which measures discrimination experiences across 9 settings (e.g. at work). Scores range from 0 to 45; higher scores indicate more experiences of discrimination. Depressive symptoms were measured using the Patient Health Questionnaire-8. Scores range from 0 to 21; higher scores indicate more depressive symptoms. DNA was isolated from saliva and analyzed for Val158Met genotype. A hierarchical linear regression was conducted adjusting for sex, age, income, education, acculturation, and years in the U.S. Discrimination was entered in Step 1 and Val158Met in Step 2 to examine the association with depressive symptoms. To assess moderation, a discrimination*Val158Met interaction term was entered in Step 3. Results: Participants were aged 40.2 ± 9.3 years and mostly female (74.2%). Discrimination was positively associated with depressive symptoms (p = 0.041). Participants with at least one Met allele at the Val158Met polymorphism had more depressive symptoms than those with a Val-Val genotype (p = 0.049). No moderation effect was found. Conclusion: Findings suggest that discrimination and Val158Met genotype independently influence depression in Hispanic adults, which may increase risk for depression and CVD in certain individuals. This highlights the need to explore mechanisms underpinning these associations, and to address the impact of discrimination on depression and CVD disparities.

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