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Using Cluster Analysis to Identify Subgroups of College Students at Increased Risk for Cardiovascular Disease
Dieu-My T Tran1, Kevin A Kupzyk2, Lani M Zimmerman3
1University of Nevada, Las Vegas School of Nursing, Las Vegas, Nevada dieu-my.tran@unlv.edu.
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 disease, overweight/obese, hypertensive or diabetes, and occasionally (weekly) consumed red meat, take antihypertensive medication, and hyperlipidemia were considered the higher risk group compared to other subgroups.
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