Evaluating the effect of health warnings in influencing Australian smokers' psychosocial and quitting behaviours using fuzzy causal network

Jian Zhang, Ronald Borland, Kenneth Coghill, Sonja Yrjo Olavi Petrovic-Lazarevic, David Young, Chung-Hsing Yeh, Susan Bedingfield

Research output: Contribution to journalArticleResearchpeer-review

Abstract

This paper explores the application of fuzzy causal networks (FCNs) to evaluating effect of health warnings in influencing Australian smokersa?? psychosocial and quitting behaviour. The sample data used in this study are selected from the International Tobacco Control Policy Evaluation Survey project. Our research findings have demonstrated that new health warnings implemented in Australia have obvious impacts on smokersa?? psychosocial and quitting behaviours. FCN is a useful framework to investigate such impacts that overcome the limitation of using traditional statistical techniques, such as linear regression and logistics regression, to analyse non-linear data.
Original languageEnglish
Pages (from-to)6430 - 6438
Number of pages9
JournalExpert Systems with Applications
Volume38
Issue number6
DOIs
Publication statusPublished - 2011

Cite this

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title = "Evaluating the effect of health warnings in influencing Australian smokers' psychosocial and quitting behaviours using fuzzy causal network",
abstract = "This paper explores the application of fuzzy causal networks (FCNs) to evaluating effect of health warnings in influencing Australian smokersa?? psychosocial and quitting behaviour. The sample data used in this study are selected from the International Tobacco Control Policy Evaluation Survey project. Our research findings have demonstrated that new health warnings implemented in Australia have obvious impacts on smokersa?? psychosocial and quitting behaviours. FCN is a useful framework to investigate such impacts that overcome the limitation of using traditional statistical techniques, such as linear regression and logistics regression, to analyse non-linear data.",
author = "Jian Zhang and Ronald Borland and Kenneth Coghill and Petrovic-Lazarevic, {Sonja Yrjo Olavi} and David Young and Chung-Hsing Yeh and Susan Bedingfield",
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Evaluating the effect of health warnings in influencing Australian smokers' psychosocial and quitting behaviours using fuzzy causal network. / Zhang, Jian; Borland, Ronald; Coghill, Kenneth; Petrovic-Lazarevic, Sonja Yrjo Olavi; Young, David; Yeh, Chung-Hsing; Bedingfield, Susan.

In: Expert Systems with Applications, Vol. 38, No. 6, 2011, p. 6430 - 6438.

Research output: Contribution to journalArticleResearchpeer-review

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AU - Borland, Ronald

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AU - Young, David

AU - Yeh, Chung-Hsing

AU - Bedingfield, Susan

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AB - This paper explores the application of fuzzy causal networks (FCNs) to evaluating effect of health warnings in influencing Australian smokersa?? psychosocial and quitting behaviour. The sample data used in this study are selected from the International Tobacco Control Policy Evaluation Survey project. Our research findings have demonstrated that new health warnings implemented in Australia have obvious impacts on smokersa?? psychosocial and quitting behaviours. FCN is a useful framework to investigate such impacts that overcome the limitation of using traditional statistical techniques, such as linear regression and logistics regression, to analyse non-linear data.

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