Literature DB >> 16153591

Risk factors and their effects on the dynamic process of smoking relapse among veteran smokers.

Yong Cui1, Wanqing Wen, Cynthia J Moriarty, Robert S Levine.   

Abstract

Smoking cessation programs can help smokers make a successful attempt at quitting, but many initial quitters relapse over time. This study aims to identify risk factors for smoking relapse and examine the influence of these factors on the dynamic relapse process in an outpatient smoking cessation program for veterans. Baseline information included socio-demographic description, medical and psychiatric comorbidities, smoking history and behavior, nicotine dependence, smoking motives, and confidence in the ability to quit. The intervention involved a 4-session group therapy consisting of cognitive and pharmacological treatments. The 189 initial quitters by program completion were followed via a telephone interview 6 months later. We identified six risk factors associated with relapse within the first 6 months post quit. Furthermore, we described characteristics of the dynamic process of smoking relapse and studied the influence of the identified risk factors on the relapse curve. The effects of these risk factors can be categorized into two patterns. Annual income and age at smoking initiation showed a delayed action that influenced the relapse curve after several weeks post quit, whereas age, number of smoking coworkers, history of schizophrenia, and number of sessions attended modified the relapse process soon after quitting. The information will be useful in targeting veteran smokers who are at high risk for relapse, choosing the optimal time for post-cessation services, and developing strategies accordingly.

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Year:  2005        PMID: 16153591     DOI: 10.1016/j.brat.2005.07.006

Source DB:  PubMed          Journal:  Behav Res Ther        ISSN: 0005-7967


  8 in total

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Journal:  Tob Control       Date:  2010-10       Impact factor: 7.552

2.  Smoking cessation in patients with psychiatric disorders.

Authors:  Alan J Gelenberg; Jose de Leon; A Eden Evins; Joseph J Parks; Nancy A Rigotti
Journal:  Prim Care Companion J Clin Psychiatry       Date:  2008

3.  Exploring behavioral and molecular mechanisms of nicotine reward in adolescent mice.

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Journal:  Biochem Pharmacol       Date:  2011-06-25       Impact factor: 5.858

4.  Bayesian inference for smoking cessation with a latent cure state.

Authors:  Sheng Luo; Ciprian M Crainiceanu; Thomas A Louis; Nilanjan Chatterjee
Journal:  Biometrics       Date:  2009-01-23       Impact factor: 2.571

5.  Interactions between age and the aversive effects of nicotine withdrawal under mecamylamine-precipitated and spontaneous conditions in male Wistar rats.

Authors:  Megan J Shram; Eric C K Siu; Zhaoxia Li; Rachel F Tyndale; Anh D Lê
Journal:  Psychopharmacology (Berl)       Date:  2008-04-03       Impact factor: 4.530

6.  Stealing a march in the 21st century: accelerating progress in the 100-year war against tobacco addiction in the United States.

Authors:  Michael C Fiore; Timothy B Baker
Journal:  Am J Public Health       Date:  2009-05-14       Impact factor: 9.308

7.  Predictors of post-treatment relapse to smoking in successful quitters: pooled data from two phase III varenicline trials.

Authors:  Jaimee L Heffner; Theodore C Lee; Carmen Arteaga; Robert M Anthenelli
Journal:  Drug Alcohol Depend       Date:  2010-01-13       Impact factor: 4.492

8.  Additional follow-up telephone counselling and initial smoking relapse: a longitudinal, controlled study.

Authors:  Lei Wu; Yao He; Bin Jiang; Fang Zuo; Qinghui Liu; Li Zhang; Changxi Zhou
Journal:  BMJ Open       Date:  2016-04-20       Impact factor: 2.692

  8 in total

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