Literature DB >> 11934082

Predictors of quitting and dropout among women in a clinic-based smoking cessation program.

Belinda Borrelli1, Joseph W Hogan, Beth Bock, Bernardine Pinto, Mary Roberts, Bess Marcus.   

Abstract

Most cessation studies assume that dropouts are smokers. Instead, the authors analyzed these outcomes separately using multinomial regression to model the relative risk of quitting versus continued smoking and dropping out. Female (N = 281) smokers were randomly assigned to a 12-week smoking cessation program plus either a 3-times-per-week exercise program or a contact control wellness program. Higher body mass index and longer prior quit attempts predicted cessation. Self-efficacy was associated with a lower likelihood of dropout. Greater nicotine dependence and lower education predicted continued smoking or dropout versus quitting among exercisers. Patterns of smoking, dropping out, and quitting between Weeks 5 and 12 were different between exercisers and controls. Dropouts should be considered as a separate category from smokers.

Entities:  

Mesh:

Year:  2002        PMID: 11934082     DOI: 10.1037//0893-164x.16.1.22

Source DB:  PubMed          Journal:  Psychol Addict Behav        ISSN: 0893-164X


  25 in total

1.  Adherence to nicotine replacement therapy versus quitting smoking among Chinese smokers: a preliminary investigation.

Authors:  Tai-Hing Lam; Abu Saleh M Abdullah; Sophia S C Chan; Anthony J Hedley
Journal:  Psychopharmacology (Berl)       Date:  2004-07-29       Impact factor: 4.530

2.  Development and preliminary randomized controlled trial of a distress tolerance treatment for smokers with a history of early lapse.

Authors:  Richard A Brown; Kathleen M Palm Reed; Erika Litvin Bloom; Haruka Minami; David R Strong; Carl W Lejuez; Christopher W Kahler; Michael J Zvolensky; Elizabeth V Gifford; Steven C Hayes
Journal:  Nicotine Tob Res       Date:  2013-07-24       Impact factor: 4.244

3.  Reduced nicotine reward in obesity: cross-comparison in human and mouse.

Authors:  Julie A Blendy; Andrew Strasser; Carrie L Walters; Kenneth A Perkins; Freda Patterson; Robert Berkowitz; Caryn Lerman
Journal:  Psychopharmacology (Berl)       Date:  2005-02-18       Impact factor: 4.530

4.  Distress tolerance treatment for early-lapse smokers: rationale, program description, and preliminary findings.

Authors:  Richard A Brown; Kathleen M Palm; David R Strong; Carl W Lejuez; Christopher W Kahler; Michael J Zvolensky; Steven C Hayes; Kelly G Wilson; Elizabeth V Gifford
Journal:  Behav Modif       Date:  2008-05

5.  What Factors Influence Non-Adherence to the Smoking Cessation Program?

Authors:  Nagihan Durmuş Koçak; Ülkü Aka Aktürk
Journal:  Turk Thorac J       Date:  2019-04-01

6.  Identifying attendance patterns in a smoking cessation treatment and their relationships with quit success.

Authors:  Jolene Jacquart; Santiago Papini; Michelle L Davis; David Rosenfield; Mark B Powers; Georita M Frierson; Lindsey B Hopkins; Scarlett O Baird; Bess H Marcus; Timothy S Church; Michael W Otto; Michael J Zvolensky; Jasper A J Smits
Journal:  Drug Alcohol Depend       Date:  2017-03-06       Impact factor: 4.492

7.  Predictors of smoking cessation counseling adherence in a socioeconomically disadvantaged sample of pregnant women.

Authors:  Kuang-Yi Wen; Suzanne M Miller; Amy Lazev; Zhu Fang; Enrique Hernandez
Journal:  J Health Care Poor Underserved       Date:  2012-08

8.  Self-efficacy and smoking cessation: a meta-analysis.

Authors:  Chad J Gwaltney; Jane Metrik; Christopher W Kahler; Saul Shiffman
Journal:  Psychol Addict Behav       Date:  2009-03

9.  Epidemiologic determinants affecting cigarette smoking cessation: a retrospective study in a National Health System (SSN) treatment service in Rome (Italy).

Authors:  Maria Giulia Marino; Elisabetta Fusconi; Rosanna Magnatta; Augusto Panà; Massimo Maurici
Journal:  J Environ Public Health       Date:  2010-04-13

10.  Fully Bayesian inference under ignorable missingness in the presence of auxiliary covariates.

Authors:  M J Daniels; C Wang; B H Marcus
Journal:  Biometrics       Date:  2013-12-10       Impact factor: 2.571

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.