Literature DB >> 21194853

Smoking outcome expectancies in young adult female smokers: individual differences and associations with nicotine dependence in a genetically informative sample.

Sean D Kristjansson1, Michele L Pergadia, Arpana Agrawal, Christina N Lessov-Schlaggar, Denis M McCarthy, Thomas M Piasecki, Alexis E Duncan, Kathleen K Bucholz, Pamela A F Madden, Kenneth J Sher, Andrew C Heath.   

Abstract

Outcome expectancy is a central construct in models of addiction. Several outcome expectancies associated with smoking cigarettes have been identified, and studies suggest that individual differences in smoking expectancies are related to important aspects of tobacco use, including levels of smoking, nicotine dependence and smoking cessation. In the present study, we used a novel analytic method, exploratory structural equation modeling (ESEM), to quantify smoking expectancies from a subset of items adapted from the Smoking Consequences Questionnaire (SCQ; Brandon and Baker, 1991) and SCQ-Adult (Copeland et al., 1995). In our sample of 1262 monozygotic and dizygotic young adult, female twins who were regular smokers, we quantified six smoking expectancy factors similar to those reported in previous studies. These included Negative Affect Reduction, Boredom Reduction, Weight Control, Taste Manipulation, Craving/Addiction and Stimulation-state Enhancement. We used genetic model-fitting to examine the extent to which individual differences in the expectancies were influenced by latent genetic, shared environmental and non-shared environmental factors. We also examined the validity of the expectancy factors by examining their associations with nicotine dependence (ND) before and after adjusting for comorbid diagnoses of drug dependence and alcohol use disorder. Results of the validity analysis indicated that all of the expectancies were associated with ND after covariate adjustment. Although we lacked the statistical power to distinguish between genetic and shared environmental sources of variance, our results suggest that smoking outcome expectancies aggregate in families, but the majority of variance in these expectancies is due to environmental factors specific to the individual.
Copyright © 2010 Elsevier Ireland Ltd. All rights reserved.

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Year:  2010        PMID: 21194853      PMCID: PMC3105190          DOI: 10.1016/j.drugalcdep.2010.11.017

Source DB:  PubMed          Journal:  Drug Alcohol Depend        ISSN: 0376-8716            Impact factor:   4.492


  32 in total

1.  Development and validation of an adolescent smoking consequences questionnaire.

Authors:  Johanna M Lewis-Esquerre; James R Rodrigue; Christopher W Kahler
Journal:  Nicotine Tob Res       Date:  2005-02       Impact factor: 4.244

2.  Drinking expectancies and motives: a genetic study of young adult women.

Authors:  Arpana Agrawal; Danielle M Dick; Kathleen K Bucholz; Pamela A F Madden; M Lynne Cooper; Kenneth J Sher; Andrew C Heath
Journal:  Addiction       Date:  2008-02       Impact factor: 6.526

3.  Examination of a brief Smoking Consequences Questionnaire for college students.

Authors:  Holly E Schleicher; Kari Jo Harris; Delwyn Catley; Solomon W Harrar; Amanda L Golbeck
Journal:  Nicotine Tob Res       Date:  2008-09       Impact factor: 4.244

4.  Genetic covariance structure of reading, intelligence and memory in children.

Authors:  Marieke van Leeuwen; Stéphanie M van den Berg; Jiska S Peper; Hilleke E Hulshoff Pol; Dorret I Boomsma
Journal:  Behav Genet       Date:  2009-04-04       Impact factor: 2.805

5.  The Brief Smoking Consequences Questionnaire-Adult (BSCQ-A): development of a short form of the SCQ-A.

Authors:  Carla J Rash; Amy L Copeland
Journal:  Nicotine Tob Res       Date:  2008-11       Impact factor: 4.244

6.  Implicit and explicit measures of alcohol and smoking cognitions.

Authors:  Denis M McCarthy; Dana M Thompsen
Journal:  Psychol Addict Behav       Date:  2006-12

7.  The Smoking Consequences Questionnaire: Factor structure and predictive validity among Spanish-speaking Latino smokers in the United States.

Authors:  Jennifer Irvin Vidrine; Damon J Vidrine; Tracy J Costello; Carlos Mazas; Ludmila Cofta-Woerpel; Luz Maria Mejia; David W Wetter
Journal:  Nicotine Tob Res       Date:  2009-08-20       Impact factor: 4.244

8.  Genetics of verbal working memory processes: a twin study of middle-aged men.

Authors:  William S Kremen; Kristen C Jacobsen; Hong Xian; Seth A Eisen; Lindon J Eaves; Ming T Tsuang; Michael J Lyons
Journal:  Neuropsychology       Date:  2007-09       Impact factor: 3.295

9.  Smoking expectancies in smokers and never smokers: an examination of the smoking Consequences Questionnaire-Spanish.

Authors:  Abilio Reig-Ferrer; Antonio Cepeda-Benito
Journal:  Addict Behav       Date:  2006-11-29       Impact factor: 3.913

10.  Contributions of parental alcoholism, prenatal substance exposure, and genetic transmission to child ADHD risk: a female twin study.

Authors:  Valerie S Knopik; Elizabeth P Sparrow; Pamela A F Madden; Kathleen K Bucholz; James J Hudziak; Wendy Reich; Wendy S Slutske; Julia D Grant; Tara L McLaughlin; Alexandre Todorov; Richard D Todd; Andrew C Heath
Journal:  Psychol Med       Date:  2005-05       Impact factor: 7.723

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  8 in total

1.  Gender differences in negative reinforcement smoking expectancies.

Authors:  Raina D Pang; Michael J Zvolensky; Norman B Schmidt; Adam M Leventhal
Journal:  Nicotine Tob Res       Date:  2014-10-25       Impact factor: 4.244

2.  Body esteem, weight-control outcome expectancies, and e-cigarette use among young adults.

Authors:  Pallav Pokhrel; Brooke L Bennett; Carol J Boushey
Journal:  Nicotine Tob Res       Date:  2021-02-16       Impact factor: 4.244

3.  Electronic cigarette use outcome expectancies among college students.

Authors:  Pallav Pokhrel; Melissa A Little; Pebbles Fagan; Nicholas Muranaka; Thaddeus A Herzog
Journal:  Addict Behav       Date:  2014-03-03       Impact factor: 3.913

4.  Development of the PROMIS positive emotional and sensory expectancies of smoking item banks.

Authors:  Joan S Tucker; William G Shadel; Maria Orlando Edelen; Brian D Stucky; Zhen Li; Mark Hansen; Li Cai
Journal:  Nicotine Tob Res       Date:  2014-09       Impact factor: 4.244

5.  Expectancies for and use of e-cigarettes and hookah among young adult non-daily smokers.

Authors:  Neal Doran; Kristin Brikmanis
Journal:  Addict Behav       Date:  2016-04-21       Impact factor: 3.913

6.  E-cigarette use, perceptions, and cigarette smoking intentions in a community sample of young adult nondaily cigarette smokers.

Authors:  Kristin Brikmanis; Angela Petersen; Neal Doran
Journal:  Psychol Addict Behav       Date:  2017-01-26

7.  Depression and anxiety symptoms moderate the relation between negative reinforcement smoking outcome expectancies and nicotine dependence.

Authors:  Raina D Pang; Rubin Khoddam; Casey R Guillot; Adam M Leventhal
Journal:  J Stud Alcohol Drugs       Date:  2014-09       Impact factor: 2.582

8.  Young adult e-cigarette use outcome expectancies: Validity of a revised scale and a short scale.

Authors:  Pallav Pokhrel; Tony H Lam; Ian Pagano; Crissy T Kawamoto; Thaddeus A Herzog
Journal:  Addict Behav       Date:  2017-11-11       Impact factor: 3.913

  8 in total

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