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Text
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URL Address
<a href="http://doi.org/10.1080/14659891.2018.1535004" target="_blank" rel="noreferrer noopener">http://doi.org/10.1080/14659891.2018.1535004</a>
Pages
184–191
Issue
2
Volume
24
Dublin Core
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Title
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What is the draw? Assessing a risk model and conventional exploration model of e-cigarette use.
Publisher
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Journal of Substance Use
Date
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2019
2019-03
Subject
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Adult; Risk Assessment; Human; Chi Square Test; Colleges and Universities; Descriptive Statistics; Scales; Data Analysis Software; Post Hoc Analysis; Surveys; Student Attitudes; Adolescence; One-Way Analysis of Variance; Logistic Regression; Sensation; Models; Theoretical; Attitude to Risk; Bivariate Statistics; Electronic Cigarettes; Pleasure; Preventive Health Care; Public Policy; Replication Studies; Risk Taking Behavior; Electronic Cigarettes – Utilization
Creator
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Laurene Kimberly R; Kodukula Geethika; Fischbein Rebecca; Kenne Deric R
Description
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Background/Objective: The use of electronic cigarettes (e-cigarettes) among young adults has been increasing, leading to concern due to unknown health effects. The purpose of the current study is to replicate and expand research on two contrasting models of e-cigarette use: risk model and conventional exploration model. Methods: An anonymous online survey was distributed at a midwestern university in fall 2015. There were 3,626 respondents, aged between 18 and 25, who answered the study's measures: sensation seeking, risk perception, public use attitudes, and policy views. Results: Respondents were categorized into mutually exclusive groups: nonuser (58.8%), e-cigarette only user (24.2%), cigarette only user (2.7%), and dual user (13.2%). Lending support to the risk model, higher disinhibition and endorsing e-cigarette use in public was associated with lower odds of being nonusers compared to e-cigarette only users. Support for the conventional model was found with higher perceived likelihood of getting heart disease, a risk of harm, and a risk of addiction due to e-cigarette use being associated with higher odds of being nonusers compared to e-cigarette only users. Conclusions: Results provide some support for both models. Findings can be used to inform prevention and intervention programs and services.
Identifier
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<a href="http://doi.org/10.1080/14659891.2018.1535004" target="_blank" rel="noreferrer noopener">10.1080/14659891.2018.1535004</a>
Rights
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Article information provided for research and reference use only. All rights are retained by the journal listed under publisher and/or the creator(s).
2019
Adolescence
Adult
Attitude to Risk
Bivariate Statistics
Chi Square Test
College of Medicine
Colleges and Universities
Data Analysis Software
Department of Family & Community Medicine
Descriptive Statistics
Electronic cigarettes
Electronic Cigarettes – Utilization
Fischbein Rebecca
Human
Journal of Substance Use
Kenne Deric R
Kodukula Geethika
Laurene Kimberly R
Logistic Regression
Models
NEOMED College of Medicine
One-Way Analysis of Variance
Pleasure
Post Hoc Analysis
Preventive Health Care
Public Policy
Replication Studies
Risk Assessment
Risk Taking Behavior
Scales
Sensation
Student Attitudes
Surveys
Theoretical