Literature DB >> 34999270

Electronic nicotine delivery systems use predicts transitions in cigarette smoking among young adults.

Alexandra Loukas1, C Nathan Marti2, Melissa B Harrell3.   

Abstract

BACKGROUND: Although cigarette smoking during young adulthood is characterized by volatility, few studies examine if use of electronic nicotine delivery systems (ENDS) impacts transitions in cigarette use behaviors across this developmental period. The purpose of this longitudinal study was to examine the role of ENDS use on three transitions in cigarette smoking among young adults; initiation, desistance, and re-uptake.
METHODS: Participants were 5029 18-29-year-olds (64.2% female) enrolled in one of 24 Texas colleges at baseline and involved in an eight-wave, 4.5-year study. A multi-state, continuous time Markov model was used to assess the role of current/past 30-day and ever ENDS use on three transitions, spanning at least six months 1) never to current smoking (initiation); 2) current to non-current smoking (desistance); and 3) non-current to current smoking (re-uptake). The model also contained time-invariant socio-demographic, and time-varying intrapersonal (other tobacco use, nicotine dependence, sensation seeking, depressive symptoms) and interpersonal (peer cigarette use) covariates.
RESULTS: Both current and ever ENDS use increased the probability of transitioning from never to current cigarette use (initiation) and decreased the probability of transitioning from current to non-current use (desistance). Current, but not ever, ENDS use also increased the probability of transitioning from non-current to current use (re-uptake). Adjustment for socio-demographic, intrapersonal, and interpersonal covariates did not alter these findings. DISCUSSION: ENDS use in young adulthood increases the risk for cigarette smoking behaviors across the continuum of uptake and progression. Prevention and cessation efforts targeting both ENDS and cigarette use during young adulthood are needed.
Copyright © 2022 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  College students; Longitudinal research; Markov models; Smoking; Vaping; Young adults

Mesh:

Year:  2021        PMID: 34999270      PMCID: PMC8810737          DOI: 10.1016/j.drugalcdep.2021.109251

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


  37 in total

1.  Brief measures of sensation seeking for screening and large-scale surveys.

Authors:  Michael T Stephenson; Rick H Hoyle; Philip Palmgreen; Michael D Slater
Journal:  Drug Alcohol Depend       Date:  2003-12-11       Impact factor: 4.492

2.  Enjoyment and other reasons for electronic cigarette use: Results from college students in New York.

Authors:  M L Saddleson; L T Kozlowski; G A Giovino; M L Goniewicz; M C Mahoney; G G Homish; A Arora
Journal:  Addict Behav       Date:  2015-12-01       Impact factor: 3.913

3.  Does e-cigarette use predict cigarette escalation? A longitudinal study of young adult non-daily smokers.

Authors:  Neal Doran; Kristin Brikmanis; Angela Petersen; Kevin Delucchi; Wael K Al-Delaimy; Susan Luczak; Mark Myers; David Strong
Journal:  Prev Med       Date:  2017-07       Impact factor: 4.018

4.  Young Adult Tobacco and E-cigarette Use Transitions: Examining Stability Using Multistate Modeling.

Authors:  Raymond Niaura; Ilan Rich; Amanda L Johnson; Andrea C Villanti; Alexa R Romberg; Elizabeth C Hair; Donna M Vallone; David B Abrams
Journal:  Nicotine Tob Res       Date:  2020-04-21       Impact factor: 4.244

5.  Dual users of e-cigarettes and cigarettes have greater positive smoking expectancies than regular smokers: a study of smoking expectancies among college students.

Authors:  MacKenzie R Peltier; Aaron F Waters; Melanie R Roys; Shelby A Stewart; Krystal M Waldo; Amy L Copeland
Journal:  J Am Coll Health       Date:  2019-03-25

6.  Screening for depression in well older adults: evaluation of a short form of the CES-D (Center for Epidemiologic Studies Depression Scale).

Authors:  E M Andresen; J A Malmgren; W B Carter; D L Patrick
Journal:  Am J Prev Med       Date:  1994 Mar-Apr       Impact factor: 5.043

7.  Exclusive e-cigarette use predicts cigarette initiation among college students.

Authors:  Alexandra Loukas; C Nathan Marti; Maria Cooper; Keryn E Pasch; Cheryl L Perry
Journal:  Addict Behav       Date:  2017-08-31       Impact factor: 3.913

8.  Engagement and 3-Month Outcomes From a Digital E-Cigarette Cessation Program in a Cohort of 27 000 Teens and Young Adults.

Authors:  Amanda L Graham; Megan A Jacobs; Michael S Amato
Journal:  Nicotine Tob Res       Date:  2020-04-21       Impact factor: 4.244

Review 9.  Is e-cigarette use in non-smoking young adults associated with later smoking? A systematic review and meta-analysis.

Authors:  Jasmine N Khouja; Steph F Suddell; Sarah E Peters; Amy E Taylor; Marcus R Munafò
Journal:  Tob Control       Date:  2020-03-10       Impact factor: 7.552

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