Gender-Specific Clustering of Lifestyle Behaviors and Its Impacts on Cardiovascular Health

BackgroundUnhealthy lifestyle behaviors associated with cardiovascular risk manifest a clustering pattern.ObjectiveOur aim was to identify behavioral clusters by using 5 unhealthy lifestyle behaviors among the Korean population and examine the impacts of identified behavioral clusters on cardiovascular health (CVH).MethodsA cross-sectional study was conducted using data from the sixth Korea National Health and Nutrition Examination Survey. The participants were 7898, aged 19 to 64 years. The cluster analysis was performed using the behaviors of current smoking, binge drinking, physical inactivity, insufficient fruit intake, and sugar-sweetened beverage drinking. Cardiovascular health was defined as a composite modified z score calculated using biophysical factors.ResultsMen manifested 4 clusters (ie, risky binge drinkers, dominant smokers, dominant sugar-sweetened beverage drinkers, and nonsubstance/low-fruit eaters) characterized predominantly by substance use; women had 4 clusters (ie, substance users, physically inactive/low-fruit eaters, physically inactive/fruit eaters, and active adherers) characterized predominantly by physical inactivity. Among men, the clusters of dominant smokers and risky binge drinkers had significantly lower CVH scores than those with poor eating behaviors. Among women, the clusters of substance users and physically inactive/low-fruit eaters had significantly lower CVH scores than the active adherers. All the clusters in men had lower CVH scores than the worst cluster in women.ConclusionsThere was a gender difference in the clustering pattern. The clusters with smoking and binge drinking in men and women were associated with negative impacts on CVH. Healthcare professionals should pay attention to the clustering pattern to design an efficient lifestyle intervention for cardiovascular disease prevention.