Literature DB >> 25338289

Short-term fluctuations in motivation to quit smoking in a sample of smokers in Hawaii.

Thaddeus Herzog1, Pallav Pokhrel, Crissy T Kawamoto.   

Abstract

BACKGROUND: Despite its potential for usefulness in informing the development of smoking cessation interventions, short-term fluctuations in motivation to quit is a relatively understudied topic.
OBJECTIVES: To assess the prevalence of smokers' day-to-day fluctuations in motivation to quit, and to assess associations of day-to-day fluctuations in motivation to quit with several established cessation-related variables.
METHODS: A cross-sectional survey was administered to smokers in Hawaii (N = 1,567). To assess short-term fluctuations in motivation to quit smoking, participants were asked to respond "True" or "False" to the statement: "My motivation to quit smoking changes from one day to the next." Other items measured desire to quit smoking, intention to quit, confidence in quitting, cigarette dependence, and other cessation-related variables.
RESULTS: "My motivation to quit smoking changes from one day to the next" was endorsed as true by 64.7% of smokers, and false by 35.3%. Analyses revealed that smokers who indicated fluctuating motivation were significantly more interested in quitting as compared to smokers without fluctuations. Fluctuations in motivation to quit also were associated with greater confidence in quitting, lesser cigarette dependence, and more recent quitting activity (all p < .01).
CONCLUSIONS: Day-to-day fluctuations in motivation to quit are common. Day-to-day fluctuations in motivation to quit are strongly associated with higher motivation to quit, greater confidence in future quitting, and other positive cessation-relevant trends.

Entities:  

Keywords:  Smoking cessation; changes; fluctuations; intention to quit; motivation to quit

Mesh:

Year:  2014        PMID: 25338289      PMCID: PMC4387002          DOI: 10.3109/10826084.2014.966846

Source DB:  PubMed          Journal:  Subst Use Misuse        ISSN: 1082-6084            Impact factor:   2.164


  24 in total

1.  Assessing the reliability of a stage of change scale.

Authors:  R J Donovan; S Jones; C D Holman; B Corti
Journal:  Health Educ Res       Date:  1998-06

2.  Intentions to quit smoking change over short periods of time.

Authors:  John R Hughes; Josue P Keely; Karl O Fagerstrom; Peter W Callas
Journal:  Addict Behav       Date:  2005-05       Impact factor: 3.913

3.  Time for a change: putting the Transtheoretical (Stages of Change) Model to rest.

Authors:  Robert West
Journal:  Addiction       Date:  2005-08       Impact factor: 6.526

4.  "Catastrophic" pathways to smoking cessation: findings from national survey.

Authors:  Robert West; Taj Sohal
Journal:  BMJ       Date:  2006-01-27

Review 5.  Reflections on smoking relapse research.

Authors:  Saul Shiffman
Journal:  Drug Alcohol Rev       Date:  2006-01

6.  Unplanned quit attempts--results from a U.S. sample of smokers and ex-smokers.

Authors:  Stuart G Ferguson; Saul Shiffman; Joseph G Gitchell; Mark A Sembower; Robert West
Journal:  Nicotine Tob Res       Date:  2009-06-09       Impact factor: 4.244

7.  Analyzing the transtheoretical model using the framework of Weinstein, Rothman, and Sutton (1998): the example of smoking cessation.

Authors:  Thaddeus A Herzog
Journal:  Health Psychol       Date:  2008-09       Impact factor: 4.267

8.  Addiction versus stages of change models in predicting smoking cessation.

Authors:  A J Farkas; J P Pierce; S H Zhu; B Rosbrook; E A Gilpin; C Berry; R M Kaplan
Journal:  Addiction       Date:  1996-09       Impact factor: 6.526

9.  Measuring smoking cessation: problems with recall in the 1990 California Tobacco Survey.

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

10.  To what extent do smokers plan quit attempts?

Authors:  L C Larabie
Journal:  Tob Control       Date:  2005-12       Impact factor: 7.552

View more
  1 in total

1.  Association between smoking and alcohol-related behaviours: a time-series analysis of population trends in England.

Authors:  Emma Beard; Robert West; Susan Michie; Jamie Brown
Journal:  Addiction       Date:  2017-07-06       Impact factor: 6.526

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.