Literature DB >> 28125242

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

Kristin Brikmanis1, Angela Petersen1, Neal Doran1.   

Abstract

E-cigarettes have been suggested as a strategy for reducing harm from cigarettes. Although e-cigarettes could be a less-harmful alternative to cigarettes for those trying to quit, there may also be costs that outweigh any benefits of reduction. The purpose of the present study was to prospectively investigate perceptions of e-cigarettes, cigarette smoking intentions, and their associations with e-cigarette use over time. Community participants (N = 348, 57% male) aged 18 to 24 years were recruited for a longitudinal study of tobacco use. Inclusion criteria included nondaily cigarette smoking for ≥ 6 months with no history of daily smoking. Participants reported e-cigarette use over the past 14 days at baseline, and for the past 9 days at 3, 6, and 9 months. Assessments were completed online or via mobile phone. Across the 4 assessments, 22% to 33% of participants reported recent e-cigarette use. Intent to quit smoking cigarettes and intent to maintain smoking were unrelated to e-cigarette frequency. E-cigarette frequency was positively associated with perceiving e-cigarettes as less harmful than cigarettes and more positive e-cigarette expectancies (ps < .05). E-cigarette use was also more frequent among those who smoked cigarettes frequently and who used e-cigarettes to circumvent cigarette bans more often (ps < .05). The combination of these findings suggests that, at least among nondaily smoking young adults, other factors may influence frequency of e-cigarette use more than harm reduction. Findings instead seem consistent with the hypothesis that e-cigarettes are more often used to complement ongoing cigarette smoking. (PsycINFO Database Record (c) 2017 APA, all rights reserved).

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Mesh:

Year:  2017        PMID: 28125242      PMCID: PMC5422113          DOI: 10.1037/adb0000257

Source DB:  PubMed          Journal:  Psychol Addict Behav        ISSN: 0893-164X


  40 in total

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3.  Influences of mood variability, negative moods, and depression on adolescent cigarette smoking.

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4.  Trends in Electronic Cigarette Use Among U.S. Adults: Use is Increasing in Both Smokers and Nonsmokers.

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Journal:  Nicotine Tob Res       Date:  2014-11-06       Impact factor: 4.244

5.  Electronic cigarette use outcome expectancies among college students.

Authors:  Pallav Pokhrel; Melissa A Little; Pebbles Fagan; Nicholas Muranaka; Thaddeus A Herzog
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7.  Young adults' favorable perceptions of snus, dissolvable tobacco products, and electronic cigarettes: findings from a focus group study.

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  14 in total

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Authors:  Johannes Thrul; Noah R Gubner; Chiara L Tice; Nadra E Lisha; Pamela M Ling
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3.  Trajectories of Tobacco and Nicotine Use Across Young Adulthood, Texas, 2014-2017.

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4.  Expectancies and reasons for use of e-cigarettes among young adults: A longitudinal analysis.

Authors:  John B Correa; Lyric K Tully; Neal Doran
Journal:  Psychol Addict Behav       Date:  2019-09-19

5.  Adolescents' E-Cigarette Use: Increases in Frequency, Dependence, and Nicotine Exposure Over 12 Months.

Authors:  Erin A Vogel; Judith J Prochaska; Danielle E Ramo; Jerome Andres; Mark L Rubinstein
Journal:  J Adolesc Health       Date:  2019-06       Impact factor: 5.012

6.  Electronic Cigarette Use and Associated Risk Factors in U.S.-Dwelling Pacific Islander Young Adults.

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7.  A custom-built low-cost chamber for exposing rodents to e-cigarette aerosol: practical considerations.

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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
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Review 9.  A Conceptual Framework for Understanding Multiple Tobacco Product Use and the Impact of Regulatory Action.

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10.  Perceptions and use of e-cigarettes among young adults in Hong Kong.

Authors:  Nan Jiang; Charles M Cleland; Man Ping Wang; Antonio Kwong; Vienna Lai; Tai Hing Lam
Journal:  BMC Public Health       Date:  2019-08-16       Impact factor: 3.295

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