运用聚类分析识别心血管疾病风险增加的大学生亚组。
Using Cluster Analysis to Identify Subgroups of College Students at Increased Risk for Cardiovascular Disease.
作者信息
Tran Dieu-My T, Kupzyk Kevin A, Zimmerman Lani M
机构信息
University of Nevada, Las Vegas School of Nursing, Las Vegas, Nevada
University of Nebraska Medical Center College of Nursing, Omaha, Nebraska.
出版信息
J Nurs Meas. 2018 Dec;26(3):470-482. doi: 10.1891/1061-3749.26.3.470.
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%, = 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.
背景与目的
研究大学生心血管危险因素的共现情况及心血管风险聚类亚组。
方法
对158名大学生采用共现模式和层次聚类分析进行横断面描述性研究。
结果
共现的首要心血管危险因素是超重/肥胖和高血压（10.8%，n = 17）。在共现的34种危险因素中，30种与超重/肥胖有关。得到了一个六聚类解决方案，其中两个聚类显示出终生和30年心血管疾病风险水平升高。
结论
层次聚类分析表明，与其他亚组相比，有心脏病家族史、超重/肥胖、高血压或糖尿病、偶尔（每周）食用红肉、服用抗高血压药物且患有高脂血症的单身白人男性被认为是高危人群。
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