Association between clinical factors and self-underestimation of cardiovascular risk in subjects submitted to a routine health evaluation

Abstract

Background: The perception of cardiovascular (CV) risk is essential for adoption of healthy behaviors. However, subjects underestimate their own risk. Hypothesis: Clinical characteristics might be associated with self-underestimation of CV risk. Methods: This is a retrospective, cross-sectional study of individuals submitted to routine health evaluation between 2006 and 2012, with calculated lifetime risk score (LRS) indicating intermediate or high risk for CV disease (CVD). Self-perception of risk was compared with LRS. Logistic regression analysis was performed to test the association between clinical characteristics and subjective underestimation of CV risk. Results: Data from 5863 subjects (age 49.4 ± 7.1 years; 19.9% female) were collected for analysis. The LRS indicated an intermediate risk for CVD in 45.7% and a high risk in 54.3% of individuals. The self-perception of CV risk was underestimated compared with the LRS in 4918 (83.9%) subjects. In the adjusted logistic regression model, age (odds ratio [OR]: 1.28, 95% confidence interval [CI]: 1.10-1.47 per 10 years, P = 0.001), smoking (OR: 1.99, 95% CI: 1.40-2.83, P < 0.001), dyslipidemia (OR: 1.21, 95% CI: 1.01-1.46, P = 0.045), physical activity (OR: 1.66, 95% CI: 1.36-2.02, P < 0.001), and use of antihypertensive (OR: 1.49, 95% CI: 1.15-1.92, P = 0.002) and lipid-lowering medications (OR: 2.13, 95% CI: 1.56-2.91, P < 0.001) were associated with higher chance of risk underestimation, whereas higher body mass index (OR: 0.92, 95% CI: 0.90-0.94, P < 0.001), depressive symptoms (OR: 0.46, 95% CI: 0.37-0.57, P < 0.001), and stress (OR: 0.41, 95% CI: 0.33-0.50, P < 0.001) decreased the chance. Conclusions: Among individuals submitted to routine medical evaluation, aging, smoking, dyslipidemia, physical activity, and use of antihypertensive and lipid-lowering medications were associated with higher chance of CV risk underestimation. Subjects with these characteristics may benefit from a more careful risk orientation.