Literature DB >> 24210683

Caffeinated alcohol consumption profiles and associations with use severity and outcome expectancies.

Cathy Lau-Barraco1, Robert J Milletich, Ashley N Linden.   

Abstract

Growing evidence suggests that the consumption of caffeinated alcoholic beverages (CAB) may be riskier than alcohol alone. Efforts to identify patterns of CAB use and the correlates of such drinking patterns could further our conceptualization of and intervention for this health issue. Consequently, the current study aimed to (1) identify distinct classes of CAB users, (2) examine differences between classes on measures of alcohol and caffeine problems, and (3) compare distinct classes of CAB users on caffeine and alcohol outcome expectancies. Participants were 583 (31% men) undergraduate students from a psychology research pool. Latent profile analysis models were derived using four indicators: CAB use quantity, CAB use frequency, alcohol use quantity, and alcohol use frequency. Finding revealed four classes of drinkers: High Alcohol/High CAB (6.00%), High Alcohol/Moderate CAB (5.15%), High Alcohol/Low CAB (22.99%), and Low Alcohol/Low CAB (65.87%). The Low Alcohol/Low CAB class reported the lowest relative levels of caffeine dependence symptoms, caffeine withdrawal, alcohol use problems, and heavy episodic drinking frequency. Further, results indicated differential expectancy endorsement based on use profiles. CAB users in the High Alcohol/Low CAB class endorsed more positive alcohol expectancies than the Low Alcohol/Low CAB group. Those in the High Alcohol/High CAB class endorsed stronger withdrawal symptom caffeine expectancies than all other classes. Inclusion of substance-specific expectancies into larger theoretical frameworks in future work of CAB use may be beneficial. Findings may inform intervention efforts for those at greatest risk related to CAB consumption.
© 2013.

Entities:  

Keywords:  Caffeinated alcohol; Emerging adults; Expectancies; Latent profile analysis

Mesh:

Substances:

Year:  2013        PMID: 24210683      PMCID: PMC4092031          DOI: 10.1016/j.addbeh.2013.10.017

Source DB:  PubMed          Journal:  Addict Behav        ISSN: 0306-4603            Impact factor:   3.913


  36 in total

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  10 in total

1.  Caffeinated and non-caffeinated alcohol use and indirect aggression: The impact of self-regulation.

Authors:  Brynn E Sheehan; Ashley N Linden-Carmichael; Cathy Lau-Barraco
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2.  A Preliminary Investigation of Caffeinated Alcohol Use During Spring Break.

Authors:  Ashley N Linden-Carmichael; Cathy Lau-Barraco
Journal:  Subst Use Misuse       Date:  2016-04-21       Impact factor: 2.164

3.  Age trends in alcohol use behavior patterns among U.S. adults ages 18-65.

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4.  Intoxication-Related Alcohol Mixed with Energy Drink Expectancies Scale: Initial Development and Validation.

Authors:  Kathleen E Miller; Kurt H Dermen; Joseph F Lucke
Journal:  Alcohol Clin Exp Res       Date:  2017-05-29       Impact factor: 3.455

5.  A daily diary examination of caffeine mixed with alcohol among college students.

Authors:  Ashley N Linden-Carmichael; Cathy Lau-Barraco
Journal:  Health Psychol       Date:  2017-05-22       Impact factor: 4.267

6.  Testing a model of caffeinated alcohol-specific expectancies.

Authors:  Ashley N Linden-Carmichael; Cathy Lau-Barraco; Amy L Stamates
Journal:  Addict Behav       Date:  2015-03-24       Impact factor: 3.913

7.  Caffeinated alcohol use and expectancies for caffeine versus alcohol.

Authors:  Cathy Lau-Barraco; Ashley N Linden
Journal:  Subst Use Misuse       Date:  2014-04-07       Impact factor: 2.164

8.  Sexual Behavior and Heavy Episodic Drinking Across the Transition to Adulthood: Differences by College Attendance.

Authors:  Sara A Vasilenko; Ashley Linden-Carmichael; Stephanie T Lanza; Megan E Patrick
Journal:  J Res Adolesc       Date:  2017-10-13

9.  Analysis of the Consumption of Caffeinated Energy Drinks among Polish Adolescents.

Authors:  Dariusz Nowak; Artur Jasionowski
Journal:  Int J Environ Res Public Health       Date:  2015-07-10       Impact factor: 3.390

10.  Alcohol mixed energy drink usage and risk-taking among college students in Western New York State.

Authors:  Adam M Graczyk; Lucia A Leone; Heather Orom; Amanda M Ziegler; Amanda K Crandall; Lynne B Klasko-Foster; Jennifer L Temple
Journal:  J Am Coll Health       Date:  2020-10-13
  10 in total

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