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Using Cluster Analysis To Identify Subgroups Of College Students At Increased Risk For Cardiovascular Disease, Dieu-My Tran, Kevin A. Kupzyk, Lani M. Zimmerman
Using Cluster Analysis To Identify Subgroups Of College Students At Increased Risk For Cardiovascular Disease, Dieu-My Tran, Kevin A. Kupzyk, Lani M. Zimmerman
Nursing Faculty Publications
Background and Purpose: To examine the co-occurrence of cardiovascular risk factors and cluster subgroups of college students for cardiovascular risks. Methods: A cross sectional descriptive study was conducted using co-occurrence patterns and hierarchical clustering analysis in 158 college students. Results: The top co-occurring cardiovascular risk factors were overweight/obese and hypertension (10.8%, n = 17). Of the total 34 risk factors that co-occurred, 30 of them involved being overweight/obese. A six-cluster-solution was obtained, two clusters displayed elevated levels of lifetime and 30-year cardiovascular disease risks. Conclusions: The hierarchical cluster analysis identified that single White males with a family history of heart …