Literature DB >> 28277706

User identified positive outcome expectancies of electronic cigarette use: A concept mapping study.

Eric K Soule1, Sarah F Maloney1, Mignonne C Guy2, Thomas Eissenberg1, Pebbles Fagan3.   

Abstract

Electronic cigarette (ECIG) use is growing in popularity, but little is known about the perceived positive outcomes of ECIG use. This study used concept mapping (CM) to examine positive ECIG outcome expectancies. Sixty-three past 30-day ECIG users (38.1% female) between the ages of 18 and 64 (M = 37.8, SD = 13.3) completed a CM module. In an online program, participants provided statements that completed a prompt: "A specific positive, enjoyable, or exciting effect (i.e., physical or psychological) that I have experienced WHILE USING or IMMEDIATELY AFTER USING an electronic cigarette/electronic vaping device is. . . ." Participants (n = 35) sorted 123 statements into "piles" of similar content and rated (n = 43) each statement on a 7-point scale (1 = Definitely NOT a positive effect to 7 = Definitely a positive effect). A cluster map was created using data from the sorting task, and analysis indicated a 7 cluster model of positive ECIG use outcome expectancies: Therapeutic/Affect Regulation, High/Euphoria, Sensation Enjoyment, Perceived Health Effects, Benefits of Decreased Cigarette Use, Convenience, and Social Impacts. The Perceived Health Effects cluster was rated highest, although all mean ratings were greater than 4.69. Mean cluster ratings were compared, and females, younger adults, past 30-day cigarette smokers, users of more "advanced" ECIG devices, and nonlifetime (less than 100 lifetime cigarettes) participants rated certain clusters higher than comparison groups (ps < 0.05). ECIG users associate positive outcomes with ECIG use. ECIG outcome expectancies may affect product appeal and tobacco use behaviors and should be examined further to inform regulatory policies. (PsycINFO Database Record (c) 2017 APA, all rights reserved).

Entities:  

Mesh:

Year:  2017        PMID: 28277706      PMCID: PMC5422116          DOI: 10.1037/adb0000263

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


  40 in total

1.  Smokers' expectancies for nicotine replacement therapy vs. cigarettes.

Authors:  Laura M Juliano; Thomas H Brandon
Journal:  Nicotine Tob Res       Date:  2004-06       Impact factor: 4.244

2.  Use of a brief Smoking Consequences Questionnaire for Adults (SCQ-A) in African American smokers.

Authors:  Shawn K Jeffries; Delwyn Catley; Kolawole S Okuyemi; Niaman Nazir; Kevin S McCarter; James E Grobe; Jasjit S Ahluwalia
Journal:  Psychol Addict Behav       Date:  2004-03

3.  Dynamic self-efficacy and outcome expectancies: prediction of smoking lapse and relapse.

Authors:  Chad J Gwaltney; Saul Shiffman; Mark H Balabanis; Jean A Paty
Journal:  J Abnorm Psychol       Date:  2005-11

4.  Do e-cigarettes have the potential to compete with conventional cigarettes?: a survey of conventional cigarette smokers' experiences with e-cigarettes.

Authors:  Eva Kralikova; Jan Novak; Oliver West; Alexandra Kmetova; Peter Hajek
Journal:  Chest       Date:  2013-11       Impact factor: 9.410

5.  Self-efficacy: toward a unifying theory of behavioral change.

Authors:  A Bandura
Journal:  Psychol Rev       Date:  1977-03       Impact factor: 8.934

6.  Electronic nicotine delivery systems: international tobacco control four-country survey.

Authors:  Sarah E Adkison; Richard J O'Connor; Maansi Bansal-Travers; Andrew Hyland; Ron Borland; Hua-Hie Yong; K Michael Cummings; Ann McNeill; James F Thrasher; David Hammond; Geoffrey T Fong
Journal:  Am J Prev Med       Date:  2013-03       Impact factor: 5.043

7.  Hospitalized smokers' expectancies for electronic cigarettes versus tobacco cigarettes.

Authors:  Peter S Hendricks; Mallory G Cases; Christopher B Thorne; JeeWon Cheong; Kathleen F Harrington; Connie L Kohler; William C Bailey
Journal:  Addict Behav       Date:  2014-09-28       Impact factor: 3.913

8.  E-cigarette knowledge, attitudes, and use in opioid dependent smokers.

Authors:  Michael D Stein; Celeste M Caviness; Kristin Grimone; Daniel Audet; Allison Borges; Bradley J Anderson
Journal:  J Subst Abuse Treat       Date:  2014-11-20

9.  Tobacco Use Among Middle and High School Students--United States, 2011-2015.

Authors:  Tushar Singh; René A Arrazola; Catherine G Corey; Corinne G Husten; Linda J Neff; David M Homa; Brian A King
Journal:  MMWR Morb Mortal Wkly Rep       Date:  2016-04-15       Impact factor: 17.586

10.  Tobacco use among middle and high school students--United States, 2013.

Authors:  René A Arrazola; Linda J Neff; Sara M Kennedy; Enver Holder-Hayes; Christopher D Jones
Journal:  MMWR Morb Mortal Wkly Rep       Date:  2014-11-14       Impact factor: 17.586

View more
  14 in total

Review 1.  Measuring perceptions related to e-cigarettes: Important principles and next steps to enhance study validity.

Authors:  Laura A Gibson; MeLisa R Creamer; Alison B Breland; Aida Luz Giachello; Annette Kaufman; Grace Kong; Terry F Pechacek; Jessica K Pepper; Eric K Soule; Bonnie Halpern-Felsher
Journal:  Addict Behav       Date:  2017-11-20       Impact factor: 3.913

2.  Reasons for Transition From Electronic Cigarette Use to Cigarette Smoking Among Young Adult College Students.

Authors:  Marzena Hiler; Tory R Spindle; Danielle Dick; Thomas Eissenberg; Alison Breland; Eric Soule
Journal:  J Adolesc Health       Date:  2019-11-05       Impact factor: 5.012

3.  Acute exposure to e-cigarettes causes inflammation and pulmonary endothelial oxidative stress in nonsmoking, healthy young subjects.

Authors:  Shampa Chatterjee; Jian-Qin Tao; Alyssa Johncola; Wensheng Guo; Alessandra Caporale; Michael C Langham; Felix W Wehrli
Journal:  Am J Physiol Lung Cell Mol Physiol       Date:  2019-05-01       Impact factor: 5.464

4.  Perceived barriers to smoking cessation and perceptions of electronic cigarettes among persons living with HIV.

Authors:  Patricia A Cioe; Rebecca E F Gordon; Kate M Guthrie; Matthew S Freiberg; Christopher W Kahler
Journal:  AIDS Care       Date:  2018-06-21

5.  Validation of the Electronic Cigarette Expectancy Scale for Adolescents.

Authors:  Paul T Enlow; Nicholas Felicione; Desiree N Williford; Kristine Durkin; Melissa D Blank; Christina L Duncan
Journal:  Subst Use Misuse       Date:  2021-11-19       Impact factor: 2.362

6.  "I cannot live without my vape": Electronic cigarette user-identified indicators of vaping dependence.

Authors:  Eric K Soule; Joseph G L Lee; Kathleen L Egan; Kendall M Bode; Abigail C Desrosiers; Mignonne C Guy; Alison Breland; Pebbles Fagan
Journal:  Drug Alcohol Depend       Date:  2020-02-05       Impact factor: 4.492

7.  Using an e-Cigarette is Like Eating Tofu When You Really Want Meat.

Authors:  Rachel L Goldberg; Janine K Cataldo
Journal:  Am J Health Behav       Date:  2018-09-01

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

9.  User-identified electronic cigarette behavioral strategies and device characteristics for cigarette smoking reduction.

Authors:  Eric K Soule; Sarah F Maloney; Mignonne C Guy; Thomas Eissenberg; Pebbles Fagan
Journal:  Addict Behav       Date:  2017-12-08       Impact factor: 4.591

10.  Health impact of E-cigarettes: a prospective 3.5-year study of regular daily users who have never smoked.

Authors:  Riccardo Polosa; Fabio Cibella; Pasquale Caponnetto; Marilena Maglia; Umberto Prosperini; Cristina Russo; Donald Tashkin
Journal:  Sci Rep       Date:  2017-11-17       Impact factor: 4.379

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.