Literature DB >> 28575519

A Comparison of Daily Versus Weekly Electronic Cigarette Users in Treatment for Substance Abuse.

Noah R Gubner1,2, Anna Pagano3, Barbara Tajima1, Joseph Guydish1,2.   

Abstract

Objective: This research examined electronic cigarette (e-cigarette) use by individuals in treatment for substance abuse, a population with a high prevalence of tobacco use and poor smoking cessation outcomes.
Methods: We surveyed 1127 individuals from 24 substance abuse treatment centers across the United States. Bivariate analyses and logistic regression were used to examine factors associated with daily (N = 87) versus weekly (N = 81) e-cigarette use.
Results: Among the full sample, 59.8% reported any lifetime use of e-cigarettes, with 23.6% reporting past 30-day use. Daily e-cigarette users were more likely to have used second-generation, tank-type e-cigarettes, χ2(1,N = 165) = 11.54, p = .001, used more flavors overall, t(168) = 2.15, p = .03, and were more likely to report using their e-cigarette continuously throughout the day, χ2(4,N = 168) = 16.7, p = .002, compared to weekly e-cigarette users. Over half (57.7%) of the daily and weekly e-cigarette users reported having an e-cigarette device that broke. The logistic regression model adjusting for clinic type and days with poor mental health found that daily e-cigarette users were significantly more likely than weekly e-cigarette users to be from methadone clinics (adjusted odds ratio [AOR] = 2.40, p = .04), and former smokers (AOR = 6.37, p < .002). Conclusions: Daily e-cigarette users in substance abuse treatment were more likely to be from methadone clinics and former cigarette smokers. However, the majority (73.6%) of daily e-cigarette users were current cigarette smokers. E-cigarette device type reliability (eg, breakage) may be an important factor to consider among drug treatment and other populations with lower socioeconomic status. Implications: This study found several differences in the device type, flavors, and use characteristics of daily versus weekly e-cigarette users. While majority of e-cigarette users in substance abuse treatment were current cigarette smokers, daily e-cigarette users were more likely to be former cigarette smokers. Administrators of substance abuse treatment programs should evaluate potential benefits and harms of e-cigarettes when developing program policies.

Entities:  

Mesh:

Year:  2018        PMID: 28575519      PMCID: PMC5892852          DOI: 10.1093/ntr/ntx116

Source DB:  PubMed          Journal:  Nicotine Tob Res        ISSN: 1462-2203            Impact factor:   4.244


  25 in total

1.  Treating drug problems.

Authors:  D R Gerstein; L S Lewin
Journal:  N Engl J Med       Date:  1990-09-20       Impact factor: 91.245

2.  Changes in puffing behavior among smokers who switched from tobacco to electronic cigarettes.

Authors:  Yong Hee Lee; Michal Gawron; Maciej Lukasz Goniewicz
Journal:  Addict Behav       Date:  2015-04-16       Impact factor: 3.913

3.  Residential and outpatient treatment completion for substance use disorders in the U.S.: Moderation analysis by demographics and drug of choice.

Authors:  Gerald J Stahler; Jeremy Mennis; Joseph P DuCette
Journal:  Addict Behav       Date:  2016-02-17       Impact factor: 3.913

4.  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

5.  Use of multiple tobacco products in a national sample of persons enrolled in addiction treatment.

Authors:  Joseph Guydish; Barbara Tajima; Sowmya Pramod; Thao Le; Noah R Gubner; Barbara Campbell; Paul Roman
Journal:  Drug Alcohol Depend       Date:  2016-07-14       Impact factor: 4.492

6.  Associations Between E-Cigarette Type, Frequency of Use, and Quitting Smoking: Findings From a Longitudinal Online Panel Survey in Great Britain.

Authors:  Sara C Hitchman; Leonie S Brose; Jamie Brown; Debbie Robson; Ann McNeill
Journal:  Nicotine Tob Res       Date:  2015-04-20       Impact factor: 4.244

7.  Tobacco-related mortality among persons with mental health and substance abuse problems.

Authors:  Frank C Bandiera; Berhanu Anteneh; Thao Le; Kevin Delucchi; Joseph Guydish
Journal:  PLoS One       Date:  2015-03-25       Impact factor: 3.240

Review 8.  Barriers and solutions to addressing tobacco dependence in addiction treatment programs.

Authors:  Douglas M Ziedonis; Joseph Guydish; Jill Williams; Marc Steinberg; Jonathan Foulds
Journal:  Alcohol Res Health       Date:  2006

Review 9.  Electronic cigarettes for smoking cessation.

Authors:  Jamie Hartmann-Boyce; Hayden McRobbie; Chris Bullen; Rachna Begh; Lindsay F Stead; Peter Hajek
Journal:  Cochrane Database Syst Rev       Date:  2016-09-14

10.  Purposeful selection of variables in logistic regression.

Authors:  Zoran Bursac; C Heath Gauss; David Keith Williams; David W Hosmer
Journal:  Source Code Biol Med       Date:  2008-12-16
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  4 in total

1.  Differences in tobacco use prevalence, behaviors, and cessation services by race/ethnicity: A survey of persons in addiction treatment.

Authors:  Anna Pagano; Noah R Gubner; Thao Le; Deborah Yip; Denise Williams; Kevin Delucchi; Joseph Guydish
Journal:  J Subst Abuse Treat       Date:  2018-08-08

2.  Impact of non-menthol flavours in e-cigarettes on perceptions and use: an updated systematic review.

Authors:  Clare Meernik; Hannah M Baker; Sarah D Kowitt; Leah M Ranney; Adam O Goldstein
Journal:  BMJ Open       Date:  2019-10-16       Impact factor: 2.692

Review 3.  Electronic cigarettes: A position statement from the Thoracic Society of Australia and New Zealand.

Authors:  Christine F McDonald; Stuart Jones; Lutz Beckert; Billie Bonevski; Tanya Buchanan; Jack Bozier; Kristin V Carson-Chahhoud; David G Chapman; Claudia C Dobler; Juliet M Foster; Paul Hamor; Sandra Hodge; Peter W Holmes; Alexander N Larcombe; Henry M Marshall; Gabrielle B McCallum; Alistair Miller; Philip Pattemore; Robert Roseby; Hayley V See; Emily Stone; Bruce R Thompson; Miranda P Ween; Matthew J Peters
Journal:  Respirology       Date:  2020-07-26       Impact factor: 6.424

4.  Collaborative Learning: A Qualitative Study Exploring Factors Contributing to a Successful Tobacco Cessation Train-the-Trainer Program as a Community of Practice.

Authors:  Isabel Martinez Leal; Jayda Martinez; Maggie Britton; Tzuan A Chen; Virmarie Correa-Fernández; Bryce Kyburz; Vijay Nitturi; Ezemenari M Obasi; Kelli Drenner; Teresa Williams; Kathleen Casey; Brian J Carter; Lorraine R Reitzel
Journal:  Int J Environ Res Public Health       Date:  2022-06-23       Impact factor: 4.614

  4 in total

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