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Tobacco, marijuana, and alcohol use in university students: A cluster analysis

Primack, BA and Kim, KH and Shensa, A and Sidani, JE and Barnett, TE and Switzer, GE (2012) Tobacco, marijuana, and alcohol use in university students: A cluster analysis.

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Objective: Segmentation of populations may facilitate development of targeted substance abuse prevention programs. The authors aimed to partition a national sample of university students according to profiles based on substance use. Participants: The authors used 2008-2009 data from the National College Health Assessment from the American College Health Association. The sample consisted of 111,245 individuals from 158 institutions. Methods: The sample was partitioned using cluster analysis according to current substance use behaviors. The association of cluster membership with individual and institutional characteristics was examined. Results: Cluster analysis yielded 6 distinct clusters. Three individual factors-gender, year in school, and fraternity/sorority membership-were the most strongly associated with cluster membership. Conclusions: In a large sample of university students, the authors were able to identify 6 distinct patterns of substance abuse. It may be valuable to target specific populations of college-aged substance users based on individual factors. However, comprehensive intervention will require a multifaceted approach. Copyright © 2012 Taylor and Francis Group, LLC.


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Item Type: Article
CreatorsEmailPitt UsernameORCID
Primack, BAbprimack@pitt.eduBPRIMACK
Kim, KH
Shensa, Aariel.shensa@pitt.eduARS146
Sidani, JEjaime.sidani@pitt.eduJES107
Barnett, TE
Switzer, GEgswitzer@pitt.eduGSWITZER
Centers: Other Centers, Institutes, Offices, or Units > Center for Research on Media, Technology, and Health
Date: 1 July 2012
Date Type: Publication
Schools and Programs: School of Education > Psychology in Education
School of Medicine > Medicine
School of Medicine > Pediatrics
Refereed: Yes
MeSH Headings: Alcohol Drinking--epidemiology; Alcohol Drinking--psychology; Alcoholic Intoxication--epidemiology; Alcoholic Intoxication--psychology; Algorithms; Cannabis; Cluster Analysis; Confidence Intervals; Female; Humans; Logistic Models; Male; Multivariate Analysis; Odds Ratio; Risk-Taking; Smoking--epidemiology; Smoking--psychology; Students--psychology; Substance-Related Disorders--epidemiology; United States--epidemiology; Universities; Young Adult
Other ID: NLM NIHMS385026, NLM PMC3401532
PubMed Central ID: PMC3401532
PubMed ID: 22686360
Date Deposited: 29 Jul 2014 21:38
Last Modified: 20 May 2021 10:56


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