Literature DB >> 10890291

Clusters of precontemplating smokers defined by the perception of the pros, cons, and self-efficacy.

A Dijkstra1, H De Vries.   

Abstract

Western smoker populations contain high percentages of smokers who are not motivated to quit. In order to develop self-help smoking cessation interventions for these smokers, it is of importance to know whether there are subtypes among this group. In the present study, cluster analysis was used to search for clusters of precontemplating smokers. The clusters were described by three cognitive clustering variables: the pros of quitting, the cons of quitting, and self-efficacy expectations. On the basis of earlier studies, three cluster solutions were tested: the 3-, 4-, and 5-cluster solutions. To cross-validate the findings, data from two independently recruited samples of precontemplating smokers were used. Three clusters, which were found in earlier studies in the United States, were replicated. In the present study these were called Unmotivated Pessimists, Motivated Pessimists, and Disengaged. Two additional clusters were identified, which might be typical for the tolerant Dutch smoking culture: Unmotivated Optimists and Motivated Optimists. It is argued that the replicated types are more nicotine-dependent and resistant to change, and represent the hard core smoker population, and that both optimistic types are less dependent, less resistant smokers who will quit with increasing societal anti-smoking pressure. Longitudinal analyses showed that cluster membership was predictive of increases in intention to quit and quitting activity.

Entities:  

Mesh:

Year:  2000        PMID: 10890291     DOI: 10.1016/s0306-4603(99)00073-8

Source DB:  PubMed          Journal:  Addict Behav        ISSN: 0306-4603            Impact factor:   3.913


  9 in total

1.  Factors associated with nonresponse to a computer-tailored asthma management program for urban adolescents with asthma.

Authors:  C L M Joseph; S L Havstad; D Johnson; J Saltzgaber; E L Peterson; K Resnicow; D R Ownby; A P Baptist; C C Johnson; V J Strecher
Journal:  J Asthma       Date:  2010-08       Impact factor: 2.515

2.  Self-efficacy: a predictor for smoking cessation contemplators in Kuwaiti adults.

Authors:  Hanan E Badr; Philip M Moody
Journal:  Int J Behav Med       Date:  2005

3.  Exploring discontinuity in prediction of smoking cessation within the precontemplation stage of change.

Authors:  James Balmford; Ron Borland; Sue Burney
Journal:  Int J Behav Med       Date:  2008

4.  Improving efficiency and reducing costs: Design of an adaptive, seamless, and enriched pragmatic efficacy trial of an online asthma management program.

Authors:  Mei Lu; Dennis R Ownby; Edward Zoratti; Douglas Roblin; Dayna Johnson; Christine Cole Johnson; Christine L M Joseph
Journal:  Contemp Clin Trials       Date:  2014-03-06       Impact factor: 2.226

5.  Evaluation of a web-based asthma management intervention program for urban teenagers: reaching the hard to reach.

Authors:  Christine L M Joseph; Dennis R Ownby; Suzanne L Havstad; Jacqueline Saltzgaber; Shannon Considine; Dayna Johnson; Ed Peterson; Gwen Alexander; Mei Lu; Wanda Gibson-Scipio; Christine Cole Johnson
Journal:  J Adolesc Health       Date:  2012-09-27       Impact factor: 5.012

6.  Initiating an online asthma management program in urban emergency departments: the recruitment experience.

Authors:  Christine L M Joseph; Mei Lu; Stephanie Stokes-Bruzzelli; Dayna A Johnson; Elizabeth Duffy; Michele Demers; Talan Zhang; Dennis R Ownby; Edward Zoratti; Prashant Mahajan
Journal:  Ann Allergy Asthma Immunol       Date:  2015-11-17       Impact factor: 6.347

7.  Study protocol of a Dutch smoking cessation e-health program.

Authors:  Nicola E Stanczyk; Catherine Bolman; Jean W M Muris; Hein de Vries
Journal:  BMC Public Health       Date:  2011-11-07       Impact factor: 3.295

8.  Barriers and motivators to gaining access to smoking cessation services amongst deprived smokers--a qualitative study.

Authors:  Elin Roddy; Marilyn Antoniak; John Britton; Andrew Molyneux; Sarah Lewis
Journal:  BMC Health Serv Res       Date:  2006-11-06       Impact factor: 2.655

9.  Identifying Subgroups among Hardcore Smokers: a Latent Profile Approach.

Authors:  Jeroen Bommelé; Marloes Kleinjan; Tim M Schoenmakers; William J Burk; Regina van den Eijnden; Dike van de Mheen
Journal:  PLoS One       Date:  2015-07-24       Impact factor: 3.240

  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.