Literature DB >> 24203689

Is stage-of-change a useful measure of the likelihood of smoking cessation?

A J Farkas1, J P Pierce, E A Gilpin, S H Zhu, B Rosbrook, C Berry, R M Kaplan.   

Abstract

We compared two stage-of-change models that differentiate smokers by their level in the quitting process. The original 1983 model by Prochaska and DiClemente (1) divided smokers first by relapse status and then by intention to quit; their revised 1991 model (2) reversed the primacy of these factors. No published data justify whether the revision improves prediction of cessation. We used data from a population-based panel of 1,921 smokers interviewed in 1990 and 1992 for the California Tobacco Surveys. Model variables (quitting intention and recent quitting history) were used in a logistic regression to predict 30-day or longer cessation at follow-up and quit attempts made during the year preceding the survey. Predictive power of the revised model was not better than predictive power of the original model. New approaches to differentiating smokers on likelihood to quit should emphasize quitting behavior rather than intention to quit.

Entities:  

Year:  1996        PMID: 24203689     DOI: 10.1007/BF02909579

Source DB:  PubMed          Journal:  Ann Behav Med        ISSN: 0883-6612


  20 in total

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Authors:  D B Abrams; L Biener
Journal:  Prev Med       Date:  1992-11       Impact factor: 4.018

2.  The process of smoking cessation: an analysis of precontemplation, contemplation, and preparation stages of change.

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3.  Patterns of Change: Dynamic Typology Applied to Smoking Cessation.

Authors:  J O Prochaska; W F Velicer; E Guadagnoli; J S Rossi; C C DiClemente
Journal:  Multivariate Behav Res       Date:  1991-01-01       Impact factor: 5.923

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Authors:  W F Velicer; C C Diclemente; J S Rossi; J O Prochaska
Journal:  Addict Behav       Date:  1990       Impact factor: 3.913

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Authors:  A Bandura
Journal:  Psychol Rev       Date:  1977-03       Impact factor: 8.934

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Authors:  E Gilpin; J P Pierce
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  1994 Oct-Nov       Impact factor: 4.254

7.  Estimates of population smoking prevalence: self-vs proxy reports of smoking status.

Authors:  E A Gilpin; J P Pierce; S W Cavin; C C Berry; N J Evans; M Johnson; D G Bal
Journal:  Am J Public Health       Date:  1994-10       Impact factor: 9.308

8.  Decisional balance measure for assessing and predicting smoking status.

Authors:  W F Velicer; C C DiClemente; J O Prochaska; N Brandenburg
Journal:  J Pers Soc Psychol       Date:  1985-05

9.  The meaning and use of the area under a receiver operating characteristic (ROC) curve.

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Journal:  Radiology       Date:  1982-04       Impact factor: 11.105

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Authors:  N S Wilcox; J O Prochaska; W F Velicer; C C DiClemente
Journal:  Addict Behav       Date:  1985       Impact factor: 3.913

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  6 in total

1.  Mental health and readiness to change smoking behavior in daily smoking primary care patients.

Authors:  Gudrun Schorr; Sabina Ulbricht; Sebastian E Baumeister; Jeannette Rüge; Janina Grothues; Hans-Jürgen Rumpf; Ulrich John; Christian Meyer
Journal:  Int J Behav Med       Date:  2009

2.  Health information seeking and media exposure among smokers: a comparison of light and intermittent tobacco users with heavy users.

Authors:  Lila J Finney Rutten; Erik M Augustson; Kelly A Doran; Richard P Moser; Bradford W Hesse
Journal:  Nicotine Tob Res       Date:  2009-03-05       Impact factor: 4.244

Review 3.  Tobacco industry research on smoking cessation. Recapturing young adults and other recent quitters.

Authors:  Pamela M Ling; Stanton A Glantz
Journal:  J Gen Intern Med       Date:  2004-05       Impact factor: 5.128

4.  Convergent and discriminant validity of three measures of stage of change.

Authors:  Lucy E Napper; Michele M Wood; Adi Jaffe; Dennis G Fisher; Grace L Reynolds; Jennifer A Klahn
Journal:  Psychol Addict Behav       Date:  2008-09

5.  Using a cessation-related outcome index to assess California's cessation progress at the population level.

Authors:  Hao Tang; Erin Abramsohn; Hye-Youn Park; David W Cowling; Wael K Al-Delaimy
Journal:  Tob Control       Date:  2010-04       Impact factor: 7.552

6.  Randomized controlled trial of a computer-based, tailored intervention to increase smoking cessation counseling by primary care physicians.

Authors:  Marina Unrod; Meredith Smith; Bonnie Spring; Judith DePue; William Redd; Gary Winkel
Journal:  J Gen Intern Med       Date:  2007-04       Impact factor: 5.128

  6 in total

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