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Modeling the activation of tobacco smoking expectancies in memory in relation to use patterns.

Abstract：

:Methodology that has led to successful strategies to reduce alcohol use was applied to tobacco smoking expectancies. Individual differences scaling was used to empirically model a semantic network of associations stored in memory and preference mapping was used to model likely paths of expectancy activation for groups with different smoking histories. Smokers emphasized an external appearance-internal experience dimension and were more likely to activate expectancies of negative affect reduction. Nonsmokers emphasized a positive-negative dimension and were more likely to activate expectancies of health risks and reduced physical attractiveness. Proportionate frequencies of first associates' validated findings of the MDS-based solutions. Future efforts to alter likely activation patterns may successfully reduce the onset of smoking, enhance quit rates, and reduce relapse.

journal_name

Addict Behav

journal_title

Addictive behaviors

authors

Linkovich-Kyle TL,Schreiner AM,Dunn ME

doi

10.1016/j.addbeh.2011.11.021

subject

Has Abstract

pub_date

2012-04-01 00:00:00

pages

528-32

issue

4

eissn

0306-4603

issn

1873-6327

pii

S0306-4603(11)00383-2

journal_volume

37

pub_type

杂志文章

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