Risk factor clustering in men and women with CHD in the Southern Cone of Latin America

BACKGROUND: Presence of multiple risk factors (RF) increases the risk for cardiovascular morbidity and mortality, and this is especially important in patients with coronary heart disease (CHD). The current study investigates sex differences in the presence of multiple cardiovascular RF in subjects with established CHD in the southern Cone of Latin America. METHODS: We analyzed cross-sectional data from the 634 participants aged 35–74 with CHD from the community-based CESCAS Study. We calculated the prevalence for counts of cardiometabolic (hypertension, dyslipidemia, obesity, diabetes) and lifestyle (current smoking, unhealthy diet, low physical activity, excessive alcohol consumption) RF. Differences in RF number between men and women were tested with age-adjusted Poisson regression. We identified the most common RF combinations among participants with ≥4 RF. We performed a subgroup analysis by educational level. RESULTS: The prevalence of cardiometabolic RF ranged from 76.3% (hypertension) to 26.8% (diabetes), and the prevalence of lifestyle RF from 81.9% (unhealthy diet) to 4.3% (excessive alcohol consumption). Obesity, central obesity, diabetes and low physical activity were more common in women, while excessive alcohol consumption and unhealthy diet were more common in men. Close to 85% of women and 81.5% of men presented with ≥4 RF. Women presented with a higher number of overall (relative risk (RR) 1.05, 95% CI 1.02–1.08) and cardiometabolic RF (1.17, 1.09–1.25). These sex differences were found in participants with primary education (RR women overall RF 1.08, 1.00–1.15, cardiometabolic RF 1.23, 1.09–1.39), but were diluted in those with higher educational attainment. The most common RF combination was hypertension/dyslipidemia/obesity/unhealthy diet. CONCLUSION: Overall, women showed a higher burden of multiple cardiovascular RF. Sex differences persisted in participants with low educational attainment, and women with low educational level had the highest RF burden.