Title

Using Cluster Analysis to Identify Subgroups of College Students at Increased Risk for Cardiovascular Disease

Document Type

Article

Publication Date

1-1-2018

Publication Title

Journal of Nursing Measurement

Volume

26

Issue

3

First page number:

470

Last page number:

482

Abstract

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.

Keywords

Cluster analysis; Cardiovascular risk factors; Co-occurrence; College students

Disciplines

Public Health and Community Nursing

Language

English

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