Literature DB >> 20163919

The influence of smokers' degree of dependence on the effectiveness of message framing for capturing smokers for a Quitline.

André Salem Szklo1, Evandro Silva Freire Coutinho.   

Abstract

Smoking is a worldwide public health problem, and various communication strategies aimed at its cessation have been used. The objective of this paper was to explore differences over time of two communication strategies (gain-framed versus loss-framed) in encouraging calls to a Quitline, according to smoker's degree of dependence. A study was conducted for four weeks among passengers of two selected subway stations in the city of Rio de Janeiro-Brazil (N(average) = 12,500 passengers a day per station). The interventions - large posters with images and text based on central theme "shortness-of-breath" - also contained the Quitline number. Call rate differences between the strategies, overall and specific per study week, were calculated. Light smokers exposed to the positive-content message called on average 2.2 times more often than those exposed to the negative-content message (p < 0.001). The absolute difference in call rates decreased after the first week of the study (p for the additive interaction between intervention and study week, 0.02). For heavy smokers, no differences between the two stations were observed. Additive interaction was found between type of smoker - light or heavy - and intervention (p = 0.02). The results suggest that short-term positive-content campaigns based on issues pertaining to individuals' daily routine could be effective in capturing light smokers. These results may have considerable public health impact, as the prevalence of less dependent smokers is much higher than that of heavier smokers. Copyright 2010 Elsevier Ltd. All rights reserved.

Mesh:

Year:  2010        PMID: 20163919     DOI: 10.1016/j.addbeh.2010.01.007

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


  6 in total

Review 1.  Use and effectiveness of behavioural economics in interventions for lifestyle risk factors of non-communicable diseases: a systematic review with policy implications.

Authors:  Oana M Blaga; Livia Vasilescu; Razvan M Chereches
Journal:  Perspect Public Health       Date:  2017-07-18

2.  Path analysis of warning label effects on negative emotions and quit attempts: A longitudinal study of smokers in Australia, Canada, Mexico, and the US.

Authors:  Yoo Jin Cho; James F Thrasher; Hua-Hie Yong; André Salem Szklo; Richard J O'Connor; Maansi Bansal-Travers; David Hammond; Geoffrey T Fong; James Hardin; Ron Borland
Journal:  Soc Sci Med       Date:  2017-10-30       Impact factor: 4.634

Review 3.  "Quitting smoking will benefit your health": the evolution of clinician messaging to encourage tobacco cessation.

Authors:  Benjamin A Toll; Alana M Rojewski; Lindsay R Duncan; Amy E Latimer-Cheung; Lisa M Fucito; Julie L Boyer; Stephanie S O'Malley; Peter Salovey; Roy S Herbst
Journal:  Clin Cancer Res       Date:  2014-01-16       Impact factor: 12.531

4.  Telephone counselling for smoking cessation.

Authors:  William Matkin; José M Ordóñez-Mena; Jamie Hartmann-Boyce
Journal:  Cochrane Database Syst Rev       Date:  2019-05-02

5.  Smoking cessation apps for smartphones: content analysis with the self-determination theory.

Authors:  Jounghwa Choi; Ghee-Young Noh; Dong-Jin Park
Journal:  J Med Internet Res       Date:  2014-02-12       Impact factor: 5.428

6.  The Brazil SimSmoke policy simulation model: the effect of strong tobacco control policies on smoking prevalence and smoking-attributable deaths in a middle income nation.

Authors:  David Levy; Liz Maria de Almeida; Andre Szklo
Journal:  PLoS Med       Date:  2012-11-06       Impact factor: 11.069

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.