Literature DB >> 33651412

Age as a predictor of quit attempts and quit success in smoking cessation: findings from the International Tobacco Control Four-Country survey (2002-14).

Lauren Arancini1, Ron Borland2, Michael Le Grande2, Mohammadreza Mohebbi3, Seetal Dodd1,4,5,6, Olivia M Dean1,4,7, Michael Berk1,4,5,6,7, Ann McNeill8,9, Geoffrey T Fong10,11, K Michael Cummings12.   

Abstract

BACKGROUND AND AIMS: Past research has found that young smokers are more likely to make quit attempts; however, there are conflicting findings regarding age and quit success. This study examined the degree to which smoker age is related to making quit attempts and quit success.
DESIGN: Ten waves of the International Tobacco Control Policy Cohort survey (ITC-4C) collected between 2002 and 2014, with nine wave-to-wave transitions with predictors at the first wave predicting quit attempts and success by the next wave.
SETTING: Canada, the United States, the United Kingdom and Australia. PARTICIPANTS: Data from 15 874 smokers categorized into four age groups at baseline (18-24, 25-39, 40-54 and 55+ years). MEASUREMENTS: Age, quit attempts and success (defined as ≥ 30 days abstinence confirmed, if possible, on a third wave for recent attempts).
FINDINGS: Older smokers were more likely to smoke daily (χ2  = 1557.86, r = 0.136, P < 0.001) than younger smokers. Daily smokers were less likely to report quit attempts (38.1 versus 58.2%) and to achieve 30 days of abstinence (22.9 versus 34.3%) than non-daily smokers. Older daily smokers were less likely to make quit attempts [0.61, confidence interval (CI) = 0.54-0.70, P < 0.001], even after controlling for indicators of nicotine dependence, country, sex, education, income, relationship status and household composition, than younger smokers. Younger smokers (< 25) were more likely to succeed for at least 30 days of abstinence, but only when compared with those aged 40-54 (OR = 0.83, 95% CI = 0.68-0.99). However, when controlling for heaviness of smoking the age effect disappeared. Significant interactions with age were found between age and intention when predicting quit attempts, and age and heaviness of smoking when predicting quit success.
CONCLUSIONS: An international cohort study indicates that young smokers are more likely to attempt to quit and appear to have similar levels of success in abstaining from smoking compared with older smokers when controlling for dependence. Quit success in all ages is most predicted by lower levels of nicotine dependence.
© 2021 Society for the Study of Addiction.

Entities:  

Keywords:  Smoking cessation; age; nicotine; predictors; quitting; tobacco

Mesh:

Year:  2021        PMID: 33651412      PMCID: PMC8328881          DOI: 10.1111/add.15454

Source DB:  PubMed          Journal:  Addiction        ISSN: 0965-2140            Impact factor:   7.256


  35 in total

1.  Dependency, social factors, and the smoking cessation process: the doctors helping smokers study.

Authors:  M H Venters; T E Kottke; L I Solberg; M L Brekke; B Rooney
Journal:  Am J Prev Med       Date:  1990 Jul-Aug       Impact factor: 5.043

2.  Motivational factors predict quit attempts but not maintenance of smoking cessation: findings from the International Tobacco Control Four country project.

Authors:  Ron Borland; Hua-Hie Yong; James Balmford; Jae Cooper; K Michael Cummings; Richard J O'Connor; Ann McNeill; Mark P Zanna; Geoffrey T Fong
Journal:  Nicotine Tob Res       Date:  2010-10       Impact factor: 4.244

3.  Psychosocial correlates of smoking cessation among elderly ever-smokers in the United States.

Authors:  Keiko Honda
Journal:  Addict Behav       Date:  2005-02       Impact factor: 3.913

4.  Predicting attempts and sustained cessation of smoking after the introduction of workplace smoking bans.

Authors:  R Borland; N Owen; D Hill; P Schofield
Journal:  Health Psychol       Date:  1991       Impact factor: 4.267

5.  Smoking cessation in young adults: age at initiation of cigarette smoking and other suspected influences.

Authors:  N Breslau; E L Peterson
Journal:  Am J Public Health       Date:  1996-02       Impact factor: 9.308

6.  Pros and cons of quitting, self-efficacy, and the stages of change in smoking cessation.

Authors:  A Dijkstra; H de Vries; M Bakker
Journal:  J Consult Clin Psychol       Date:  1996-08

7.  Predictors of cessation in a cohort of current and former smokers followed over 13 years.

Authors:  Andrew Hyland; Qiang Li; Joseph E Bauer; Gary A Giovino; Craig Steger; K Michael Cummings
Journal:  Nicotine Tob Res       Date:  2004-12       Impact factor: 4.244

8.  Gender and determinants of smoking cessation: a longitudinal study.

Authors:  M Osler; E Prescott; N Godtfredsen; H O Hein; P Schnohr
Journal:  Prev Med       Date:  1999-07       Impact factor: 4.018

9.  Development of the disease model of drug addiction in Britain, 1870-1926.

Authors:  T M Parssinen; K Kerner
Journal:  Med Hist       Date:  1980-07       Impact factor: 1.419

10.  Tobacco smoking and all-cause mortality in a large Australian cohort study: findings from a mature epidemic with current low smoking prevalence.

Authors:  Emily Banks; Grace Joshy; Marianne F Weber; Bette Liu; Robert Grenfell; Sam Egger; Ellie Paige; Alan D Lopez; Freddy Sitas; Valerie Beral
Journal:  BMC Med       Date:  2015-02-24       Impact factor: 8.775

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  5 in total

1.  Age-Related Interactions on Key Theoretical Determinants of Smoking Cessation: Findings from the ITC Four Country Smoking and Vaping Surveys (2016-2020).

Authors:  Michael Le Grande; Ron Borland; Hua-Hie Yong; Ann McNeill; Geoffrey Fong; K Michael Cummings
Journal:  Nicotine Tob Res       Date:  2022-03-26       Impact factor: 5.825

2.  High smoking and low cessation rates among patients in treatment for opioid and other substance use disorders.

Authors:  Endre Dahlen Bjørnestad; John-Kåre Vederhus; Thomas Clausen
Journal:  BMC Psychiatry       Date:  2022-10-19       Impact factor: 4.144

3.  Factors associated with quit attempt and successful quitting among adults who smoke tobacco in Ethiopia: Global Adult Tobacco Survey (GATS) 2016.

Authors:  Henok S Demissie; Tenecia Smith; Isabel G de Quevedo; Alissa C Kress; Evelyn Twentyman
Journal:  Tob Prev Cessat       Date:  2022-03-11

4.  Effect of socioeconomic status on smoking cessation behavior in selected African countries: Secondary analysis of Global Adult Tobacco Survey data (2014-2018).

Authors:  Zinto Gabsile Vilane; Prakash Babu Kodali; Kavumpurathu Raman Thankappan
Journal:  PLoS One       Date:  2022-09-19       Impact factor: 3.752

5.  Factors Associated with Quit Intentions among Adult Smokers in South Korea: Findings from the 2020 ITC Korea Survey.

Authors:  Minjung Han; Donghee Seo; Yeol Kim; Hong Gwan Seo; Sung-Il Cho; Sungkyu Lee; Sujin Lim; Susan C Kaai; Anne C K Quah; Mi Yan; Steve S Xu; Geoffrey T Fong
Journal:  Int J Environ Res Public Health       Date:  2022-08-31       Impact factor: 4.614

  5 in total

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