Literature DB >> 25044192

Youth tobacco cessation: quitting intentions and past-year quit attempts.

Cindy Tworek1, Gillian L Schauer2, Charles C Wu3, Ann M Malarcher2, Kia J Jackson4, Allison C Hoffman4.   

Abstract

BACKGROUND: Despite declining use of conventional tobacco products, youth use of non-cigarette tobacco has become prevalent; however, quitting behaviors remain largely unexplored.
PURPOSE: To examine nationally representative data on quit intentions and past-year attempts to quit all tobacco use among current youth tobacco users.
METHODS: In 2013, data were analyzed from the 2012 National Youth Tobacco Survey (NYTS). Weighted prevalence estimates of quit intentions and past-year quit attempts for current youth tobacco users are presented.
RESULTS: Prevalence of quit intentions and past-year attempts to quit all tobacco use were 52.8% and 51.5%, respectively, among current youth tobacco users. Among non-mutually exclusive groups, current cigarette smokers had the highest prevalence of quit intentions (56.8%) and past-year quit attempts (52.5%), whereas current hookah users had the lowest prevalence of quit intentions (41.5%) and past-year quit attempts (43.7%). Quit intentions among black, non-Hispanics (65.0%) and Hispanics (60.4%) were significantly higher versus white, non-Hispanics (47.5%). Youth reporting parental advice against tobacco had significantly higher prevalence of quit intentions (56.7%) and past-year quit attempts (55.0%) than those not reporting parental advice. Youth who agreed all tobacco products are dangerous (58.5%) had significantly higher prevalence of quit intentions than those who disagreed (37.0%).
CONCLUSIONS: Continued efforts are needed to better understand youth motivation for quitting all tobacco products. Public health messaging about the dangers of all tobacco and cessation efforts should be aimed at the full range of tobacco products, not just cigarettes, and tailored to meet the needs of youth polytobacco users. Published by Elsevier Inc.

Entities:  

Mesh:

Year:  2014        PMID: 25044192     DOI: 10.1016/j.amepre.2014.05.009

Source DB:  PubMed          Journal:  Am J Prev Med        ISSN: 0749-3797            Impact factor:   5.043


  10 in total

1.  E-cigarette Use and Subsequent Smoking Frequency Among Adolescents.

Authors:  Jessica L Barrington-Trimis; Grace Kong; Adam M Leventhal; Feifei Liu; Margaret Mayer; Tess Boley Cruz; Suchitra Krishnan-Sarin; Rob McConnell
Journal:  Pediatrics       Date:  2018-11-05       Impact factor: 7.124

2.  A content analysis of smartphone apps for adolescent smoking cessation.

Authors:  Cendrine D Robinson; Elizabeth L Seaman; Emily Grenen; LaTrice Montgomery; R Andrew Yockey; Kisha Coa; Yvonne Prutzman; Erik Augustson
Journal:  Transl Behav Med       Date:  2020-02-03       Impact factor: 3.046

3.  Adapting to a changing tobacco landscape: research implications for understanding and reducing youth tobacco use.

Authors:  Robin J Mermelstein
Journal:  Am J Prev Med       Date:  2014-08       Impact factor: 5.043

4.  Attitudes and interest in technology-based treatment and the remote monitoring of smoking among adolescents and emerging adults.

Authors:  Erin McClure; Nathaniel Baker; Matthew J Carpenter; Frank A Treiber; Kevin Gray
Journal:  J Smok Cessat       Date:  2015-10-08

5.  Perception, intention and attempts to quit smoking among Jordanian adolescents from the Irbid Longitudinal Study.

Authors:  R Jaber; Z B Taleb; R Bahelah; P Madhivanan; W Maziak
Journal:  Int J Tuberc Lung Dis       Date:  2016-12       Impact factor: 2.373

6.  Hookah Use Among US Youth: A Systematic Review of the Literature From 2009 to 2017.

Authors:  Maria Cooper; Lauren R Pacek; Mignonne C Guy; Jessica L Barrington-Trimis; Patricia Simon; Cassandra Stanton; Grace Kong
Journal:  Nicotine Tob Res       Date:  2019-11-19       Impact factor: 4.244

Review 7.  The global epidemiology of waterpipe smoking.

Authors:  Wasim Maziak; Ziyad Ben Taleb; Raed Bahelah; Farahnaz Islam; Rana Jaber; Rehab Auf; Ramzi G Salloum
Journal:  Tob Control       Date:  2014-10-08       Impact factor: 7.552

8.  Modeling the potential effects of new tobacco products and policies: a dynamic population model for multiple product use and harm.

Authors:  Eric D Vugrin; Brian L Rostron; Stephen J Verzi; Nancy S Brodsky; Theresa J Brown; Conrad J Choiniere; Blair N Coleman; Antonio Paredes; Benjamin J Apelberg
Journal:  PLoS One       Date:  2015-03-27       Impact factor: 3.240

9.  Polytobacco product use among current cigarette smokers in Hong Kong, China: results from population surveys (2015-17).

Authors:  S L Chau; M P Wang; Y Wu; D Y T Cheung; A Kong; V Lai; T H Lam; S Y Ho
Journal:  BMC Public Health       Date:  2021-02-06       Impact factor: 3.295

10.  Linking Global Youth Tobacco Survey (GYTS) data to the WHO Framework Convention on Tobacco Control (FCTC): The case for Tunisia.

Authors:  Yosr Ayedi; Chahida Harizi; Afef Skhiri; Radhouane Fakhfakh
Journal:  Tob Induc Dis       Date:  2022-01-28       Impact factor: 2.600

  10 in total

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