Document Type
Article
Publication Date
1-1-2018
Publication Title
Journal of Nursing Measurement
Publisher
Springer Publishing Company
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
File Format
File Size
1.278 KB
Language
English
Repository Citation
Tran, D.,
Kupzyk, K. A.,
Zimmerman, L. M.
(2018).
Using Cluster Analysis to Identify Subgroups of College Students at Increased Risk for Cardiovascular Disease.
Journal of Nursing Measurement, 26(3),
470-482.
Springer Publishing Company.
http://dx.doi.org/10.1891/1061-3749.26.3.470
