Literature DB >> 20621423

Expectancies and marijuana use frequency and severity among young females.

Jumi Hayaki1, Claire E Hagerty, Debra S Herman, Marcel A de Dios, Bradley J Anderson, Michael D Stein.   

Abstract

This study examined associations between the endorsement of drug use expectancies and the frequency and severity of marijuana use in a community sample of 332 women aged 18-24years who were not explicitly seeking treatment for their marijuana use. Participants were enrolled in a larger intervention study of motivational interviewing for various health behaviors and provided self-reports of their current and past marijuana use, marijuana abuse/dependence symptoms, and marijuana use expectancies. Marijuana use expectancies were measured using the six subscales of the Marijuana Effects Expectancy Questionnaire (MEEQ). Use frequency was defined as the number of use days in the past month, severity as the total number of DSM-IV marijuana abuse or dependence symptom criteria met. Replicating and extending prior research, expectations regarding Relaxation and Tension Reduction emerged as a robust belief in this cohort, predicting not only frequency (p<.01) but also severity (p<.01) of marijuana use in multivariate analyses. Severity of marijuana use was further predicted by expectations regarding loss of control, affective changes following marijuana use, and other aspects of emotion dysregulation (Global Negative Effects, p<.01). These findings document meaningful associations between substance-related cognitions and use behavior and suggest that marijuana users who hold certain beliefs regarding marijuana use may be particularly susceptible to clinically significant problems associated with their substance use. As such, marijuana use expectancies may represent a clinical target that could be incorporated into future interventions. Copyright 2010 Elsevier Ltd. All rights reserved.

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Year:  2010        PMID: 20621423      PMCID: PMC2919625          DOI: 10.1016/j.addbeh.2010.06.017

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


  31 in total

1.  Cannabis use and public health: assessing the burden.

Authors:  W Hall; T F Babor
Journal:  Addiction       Date:  2000-04       Impact factor: 6.526

2.  Consumption-related differences in the organization and activation of marijuana expectancies in memory.

Authors:  T L Linkovich-Kyle; M E Dunn
Journal:  Exp Clin Psychopharmacol       Date:  2001-08       Impact factor: 3.157

3.  Expectancy challenge and drinking reduction: process and structure in the alcohol expectancy network.

Authors:  J Darkes; M S Goldman
Journal:  Exp Clin Psychopharmacol       Date:  1998-02       Impact factor: 3.157

4.  Frontal lobe dysfunction in long-term cannabis users.

Authors:  T Lundqvist; S Jönsson; S Warkentin
Journal:  Neurotoxicol Teratol       Date:  2001 Sep-Oct       Impact factor: 3.763

5.  Validation of cocaine and marijuana effect expectancies in a treatment setting.

Authors:  L W Galen; M J Henderson
Journal:  Addict Behav       Date:  1999 Sep-Oct       Impact factor: 3.913

6.  Psychometric evaluation of the marijuana and stimulant effect expectancy questionnaires for adolescents.

Authors:  G A Aarons; S A Brown; E Stice; M T Coe
Journal:  Addict Behav       Date:  2001 Mar-Apr       Impact factor: 3.913

7.  Measuring adolescent alcohol outcome expectancies.

Authors:  K Fromme; E J D'Amico
Journal:  Psychol Addict Behav       Date:  2000-06

8.  The Cocaine Effects Questionnaire for patient populations: development and psychometric properties.

Authors:  Damaris J Rohsenow; Alan D Sirota; Rosemarie A Martin; Peter M Monti
Journal:  Addict Behav       Date:  2004-05       Impact factor: 3.913

9.  A revised Alcohol Expectancy Questionnaire: factor structure confirmation, and invariance in a general population sample.

Authors:  W H George; M R Frone; M L Cooper; M Russell; J B Skinner; M Windle
Journal:  J Stud Alcohol       Date:  1995-03

10.  Marijuana and cocaine effect expectancies and drug use patterns.

Authors:  J Schafer; S A Brown
Journal:  J Consult Clin Psychol       Date:  1991-08
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  23 in total

1.  The Interactive Influence of Cannabis-Related Negative Expectancies and Coping Motives on Cannabis Use Behavior and Problems.

Authors:  Dawn W Foster; Emily R Jeffries; Michael J Zvolensky; Julia D Buckner
Journal:  Subst Use Misuse       Date:  2016-06-29       Impact factor: 2.164

2.  Development and initial psychometric validation of the Brief-Caffeine Expectancy Questionnaire (B-CaffEQ).

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Journal:  Psychol Assess       Date:  2018-06-21

3.  The association of specific traumatic experiences with cannabis initiation and transition to problem use: Differences between African-American and European-American women.

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Journal:  Drug Alcohol Depend       Date:  2016-03-08       Impact factor: 4.492

4.  Marijuana use, driving, and related cognitions.

Authors:  Brooke J Arterberry; Hayley R Treloar; Ashley E Smith; Matthew P Martens; Sarah L Pedersen; Denis M McCarthy
Journal:  Psychol Addict Behav       Date:  2012-12-31

5.  Marijuana expectancies and relationships with adolescent and adult marijuana use.

Authors:  Sean D Kristjansson; Arpana Agrawal; Michael T Lynskey; Laurie A Chassin
Journal:  Drug Alcohol Depend       Date:  2012-06-08       Impact factor: 4.492

6.  Prevalence and correlates of hashish use in a national sample of high school seniors in the United States.

Authors:  Joseph J Palamar; Lily Lee; Michael Weitzman
Journal:  Am J Drug Alcohol Abuse       Date:  2015-04-10       Impact factor: 3.829

7.  Specificity of expectancies prospectively predicting alcohol and marijuana use in adulthood in the Pittsburgh ADHD longitudinal study.

Authors:  Christine A P Walther; Sarah L Pedersen; Elizabeth Gnagy; William E Pelham; Brooke S G Molina
Journal:  Psychol Addict Behav       Date:  2019-01-14

8.  Psychometric properties of a valuations scale for the Marijuana Effect Expectancies Questionnaire.

Authors:  Julia D Buckner; Anthony H Ecker; Katherine D Welch
Journal:  Addict Behav       Date:  2012-10-26       Impact factor: 3.913

9.  The importance of distribution-choice in modeling substance use data: a comparison of negative binomial, beta binomial, and zero-inflated distributions.

Authors:  Brandie Wagner; Paula Riggs; Susan Mikulich-Gilbertson
Journal:  Am J Drug Alcohol Abuse       Date:  2015-07-08       Impact factor: 3.829

10.  Nonmedical prescription pain reliever and alcohol consumption among cannabis users.

Authors:  Scott P Novak; Nicholas C Peiper; Gary A Zarkin
Journal:  Drug Alcohol Depend       Date:  2015-12-17       Impact factor: 4.492

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