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

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.