Using Cluster Analysis to Identify Subgroups of College Students at Increased Risk for Cardiovascular Disease.
| Autor: | Tran, Dieu-My T., Kupzyk, Kevin A., Zimmerman, Lani M. |
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| Předmět: |
OBESITY complications
ANALYSIS of variance CARDIOVASCULAR diseases risk factors CHI-squared test CLUSTER analysis (Statistics) COLLEGE students DIABETES FOOD habits HYPERLIPIDEMIA HYPERTENSION ANTIHYPERTENSIVE agents LONGITUDINAL method RESEARCH methodology QUESTIONNAIRES RISK assessment STATISTICAL sampling CROSS-sectional method FAMILY history (Medicine) PHYSICAL activity DATA analysis software DISEASE complications |
| Zdroj: | Journal of Nursing Measurement; 2018, Vol. 26 Issue 3, p470-482, 13p |
| Abstrakt: | 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. [ABSTRACT FROM AUTHOR] |
| Databáze: | Complementary Index |
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