Literature DB >> 21752135

Predictors of attempts to stop smoking and their success in adult general population samples: a systematic review.

Eleni Vangeli1, John Stapleton, Eline Suzanne Smit, Ron Borland, Robert West.   

Abstract

AIMS: To identify the predictors of attempts to stop smoking and the predictors of quit attempt success in adult general population samples.
METHODS: We performed an electronic search of EMBASE, Pubmed, Web of Science, PsychINFO and the Cochrane Tobacco Addiction Group specialized register for articles that examined, in prospective adult general population samples, predictors of quit attempts and the success of quit attempts. Experts were contacted for knowledge of other relevant studies. Eight studies met the inclusion criteria and results were extracted independently by two researchers.
RESULTS: There was considerable methodological heterogeneity between studies. Motivational factors dominated the prediction of quit attempts, whereas only cigarette dependence consistently predicted success after an attempt had been made. Social grade also appeared to predict success but was only examined in two studies. None of the other socio-demographic factors consistently predicted making a quit attempt or success.
CONCLUSIONS: Population-level studies from a number of countries show that past quit attempts and measures of motivation to stop are highly predictive of quit attempts, whereas only measures of dependence are consistently predictive of success of those attempts. Gender, age and marital status and educational level are not related consistently to quit attempts or quit success across countries.
© 2011 The Authors, Addiction © 2011 Society for the Study of Addiction.

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Year:  2011        PMID: 21752135     DOI: 10.1111/j.1360-0443.2011.03565.x

Source DB:  PubMed          Journal:  Addiction        ISSN: 0965-2140            Impact factor:   6.526


  237 in total

1.  Struggling to make ends meet: exploring pathways to understand why smokers in financial difficulties are less likely to quit successfully.

Authors:  Amrit Caleyachetty; Sarah Lewis; Ann McNeill; Jo Leonardi-Bee
Journal:  Eur J Public Health       Date:  2012-02       Impact factor: 3.367

2.  Time to selected quit date and subsequent rates of sustained smoking abstinence.

Authors:  George L Anesi; Scott D Halpern; Michael O Harhay; Kevin G Volpp; Kathryn Saulsgiver
Journal:  J Behav Med       Date:  2017-06-21

3.  Correlates of tobacco product reuptake and relapse among youth and adults in the USA: findings from the PATH Study Waves 1-3 (2013-2016).

Authors:  Kathryn C Edwards; Karin A Kasza; Zhiqun Tang; Cassandra A Stanton; Eva Sharma; Michael J Halenar; Kristie A Taylor; Elisabeth A Donaldson; Lynn C Hull; Maansi Bansal-Travers; Jean Limpert; Izabella Zandberg; Lisa D Gardner; Nicolette Borek; Heather L Kimmel; Wilson M Compton; Andrew Hyland
Journal:  Tob Control       Date:  2020-05       Impact factor: 7.552

4.  Correlates of tobacco product cessation among youth and adults in the USA: findings from the PATH Study Waves 1-3 (2013-2016).

Authors:  Karin A Kasza; Kathryn C Edwards; Zhiqun Tang; Cassandra A Stanton; Eva Sharma; Michael J Halenar; Kristie A Taylor; Elisabeth A Donaldson; Lynn C Hull; Maansi Bansal-Travers; Jean Limpert; Izabella Zandberg; Lisa D Gardner; Hoda T Hammad; Nicolette Borek; Heather L Kimmel; Wilson M Compton; Andrew Hyland
Journal:  Tob Control       Date:  2020-05       Impact factor: 7.552

5.  Vaping characteristics and expectancies are associated with smoking cessation propensity among dual users of combustible and electronic cigarettes.

Authors:  Karen O Brandon; Vani N Simmons; Lauren R Meltzer; David J Drobes; Úrsula Martínez; Steven K Sutton; Amanda M Palmer; Christopher R Bullen; Paul T Harrell; Thomas H Brandon
Journal:  Addiction       Date:  2019-02-13       Impact factor: 6.526

6.  Cessation Strategies Young Adult Smokers Use After Participating in a Facebook Intervention.

Authors:  Johannes Thrul; Danielle E Ramo
Journal:  Subst Use Misuse       Date:  2016-10-19       Impact factor: 2.164

7.  The predictive utility of micro indicators of concern about smoking: findings from the International Tobacco Control Four Country study.

Authors:  Timea R Partos; Ron Borland; James F Thrasher; Lin Li; Hua-Hie Yong; Richard J O'Connor; Mohammad Siahpush
Journal:  Addict Behav       Date:  2014-04-12       Impact factor: 3.913

8.  Does Perceived Message Effectiveness Predict the Actual Effectiveness of Tobacco Education Messages? A Systematic Review and Meta-Analysis.

Authors:  Seth M Noar; Joshua Barker; Trevor Bell; Marco Yzer
Journal:  Health Commun       Date:  2018-11-28

9.  A new classification system for describing concurrent use of nicotine vaping products alongside cigarettes (so-called 'dual use'): findings from the ITC-4 Country Smoking and Vaping wave 1 Survey.

Authors:  Ron Borland; Krista Murray; Shannon Gravely; Geoffrey T Fong; Mary E Thompson; Ann McNeill; Richard J O'Connor; Maciej L Goniewicz; Hua-Hie Yong; David T Levy; Bryan W Heckman; K Michael Cummings
Journal:  Addiction       Date:  2019-04-02       Impact factor: 6.526

10.  Motivational, reduction and usual care interventions for smokers who are not ready to quit: a randomized controlled trial.

Authors:  Elias M Klemperer; John R Hughes; Laura J Solomon; Peter W Callas; James R Fingar
Journal:  Addiction       Date:  2016-10-05       Impact factor: 6.526

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