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

2.50
Hdl Handle:
http://hdl.handle.net/10755/622737
Category:
Full-text
Format:
Text-based Document
Type:
Presentation
Level of Evidence:
N/A
Research Approach:
N/A
Title:
Using Cluster Analysis to Identify Subgroups of College Students at Increased Risk for Cardiovascular Disease
Other Titles:
Cardiovascular Risk Factors in Children and Young Adults
Author(s):
Tran, Dieu-My T.
Lead Author STTI Affiliation:
Zeta Kappa-at-Large
Author Details:
Dieu-My T. Tran, PhD, School of Nursing, University of Nevada, Las Vegas, Las Vegas, Nevada, USA
Abstract:

Detecting high-risk groups through a clustering technique can be beneficial to identify groups of college students to target for interventions as this population is at risks for developing cardiovascular disease as they aged.

Keywords:
Cardiovascular Risk Factors; Cluster Analysis; College Students
Repository Posting Date:
22-Sep-2017
Date of Publication:
22-Sep-2017
Other Identifiers:
CONV17E19
Conference Date:
2017
Conference Name:
44th Biennial Convention
Conference Host:
Sigma Theta Tau International, the Honor Society of Nursing
Conference Location:
Indianapolis, Indiana, USA
Description:
44th Biennial Convention 2017 Theme: Influence Through Action: Advancing Global Health, Nursing, and Midwifery.

Full metadata record

DC FieldValue Language
dc.language.isoen_USen
dc.type.categoryFull-texten
dc.formatText-based Documenten
dc.typePresentationen
dc.evidence.levelN/Aen
dc.research.approachN/Aen
dc.titleUsing Cluster Analysis to Identify Subgroups of College Students at Increased Risk for Cardiovascular Diseaseen_US
dc.title.alternativeCardiovascular Risk Factors in Children and Young Adultsen
dc.contributor.authorTran, Dieu-My T.en
dc.contributor.departmentZeta Kappa-at-Largeen
dc.author.detailsDieu-My T. Tran, PhD, School of Nursing, University of Nevada, Las Vegas, Las Vegas, Nevada, USAen
dc.identifier.urihttp://hdl.handle.net/10755/622737-
dc.description.abstract<p><span>Detecting high-risk groups through a clustering technique can be beneficial to identify groups of college students to target for interventions as this population is at risks for developing cardiovascular disease as they aged.</span></p>en
dc.subjectCardiovascular Risk Factorsen
dc.subjectCluster Analysisen
dc.subjectCollege Studentsen
dc.date.available2017-09-22T18:16:48Z-
dc.date.issued2017-09-22-
dc.date.accessioned2017-09-22T18:16:48Z-
dc.conference.date2017en
dc.conference.name44th Biennial Conventionen
dc.conference.hostSigma Theta Tau International, the Honor Society of Nursingen
dc.conference.locationIndianapolis, Indiana, USAen
dc.description44th Biennial Convention 2017 Theme: Influence Through Action: Advancing Global Health, Nursing, and Midwifery.en
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