Using cluster analysis to identify subgroups of college students at increased risk for cardiovascular disease

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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.

Original languageEnglish (US)
Pages (from-to)470-482
Number of pages13
JournalJournal of nursing measurement
Volume26
Issue number3
DOIs
StatePublished - Dec 2018

Keywords

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

ASJC Scopus subject areas

  • Nursing(all)

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